Anthropic's AI agents show promise but face rough edges in simulated markets
ByPulseAugur Editorial·
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Anthropic conducted an experiment where Claude agents acted as digital barterers, successfully negotiating 186 deals totaling over $4,000. Participants found the deals fair, with nearly half expressing willingness to pay for such a service. The experiment highlighted that while model quality, such as Opus versus Haiku, significantly impacted deal outcomes, human participants did not perceive this difference.
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Markets of AI agents could provide value, but there are plenty of rough edges. Access to higher-quality models conferred a real advantage—and participants didn’t notice. There are plenty of other ways they can go wrong.
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To our amazement, another Claude agent modeled its human’s preferences so accurately that—based on only an offhand mention of an interest in skiing—Claude bought him the exact snowboard he already owned. (Here he is, duplicate snowboard in hand.) https://t.co/SsAyeB9pcI
The custom instructions didn’t matter much. Claude followed them well: as you can see here, one conducted negotiations entirely in the persona of an exasperated, down-and-out cowboy.
But “hardballing Claudes” didn’t generally fare better than “courteous Claudes.” https://t.co/h…
Our experiment had a few quirks.
One of our colleagues told Claude it could purchase something for itself. It chose to acquire 19 ping-pong balls.
We’re keeping them in our office on Claude’s behalf. https://t.co/NM8VtH1KJM
But the quality of the model mattered a lot. In the simulated runs where Opus and Haiku models negotiated with one-another, the Opus models got substantially better deals.
Interestingly, though, participants in our survey didn’t pick up on this disparity. https://t.co/X26hhIieJ…
In short, this worked. Our digital barterers agreed on 186 deals, at a total transaction volume of over $4,000.
In a survey, participants said Claude’s deals seemed fair, and—surprisingly to us—almost half said they’d be willing to pay for a service like this in future.
We’re interested in how AI models could affect commercial exchange. (You might recall Project Vend, in which Claude ran a small business.)
Economists have theorized about what markets with AI “agents” on both sides might look like. So we created one.
https://t.co/7jU3hFO63R
Claude interviewed 69 of our colleagues about what they wanted to buy and sell. Each Claude asked for any custom instructions, then went off to haggle.
We ran 4 markets in parallel, to find out what would happen if we varied the models doing the negotiating. https://t.co/FJdD6S2…
New Anthropic research: Project Deal.
We created a marketplace for employees in our San Francisco office, with one big twist. We tasked Claude with buying, selling and negotiating on our colleagues’ behalf. https://t.co/H2f6cLDlAW
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TIER_1·Eason Chen, Ce Guan, Zhonghao Zhao, Joshua Zekeri, Afeez Edeifo Shaibu, Emmanuel Osadebe Prince, Cyuan-Jhen Wu, A Elshafiey·
arXiv:2603.16663v5 Announce Type: replace-cross Abstract: The AIED community envisions AI evolving "from tools to teammates," yet most research still examines AI agents primarily through one-on-one human-AI interactions. We provide an alternative perspective: a rapidly growing ec…
arXiv:2510.21236v3 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have evolved into AI agents that interact with external tools and environments to perform complex tasks. The Model Context Protocol (MCP) has become the de facto standard for connecting agents …
arXiv cs.LG
TIER_1·Deming Chen, Vijay Ganesh, Weikai Li, Yingyan Celine Lin, Yong Liu, Subhasish Mitra, David Z. Pan, Ruchir Puri, Jason Cong, Yizhou Sun·
arXiv:2601.14541v4 Announce Type: replace Abstract: This report distills the discussions and recommendations from the NSF Workshop on AI for Electronic Design Automation (EDA), held on December 10, 2024 in Vancouver alongside NeurIPS 2024. Bringing together experts across machine…
arXiv:2604.22136v1 Announce Type: cross Abstract: Large language model (LLM) agents increasingly issue API calls that mutate real systems, yet many current architectures pass stochastic model outputs directly to execution layers. We argue that this coupling creates a safety risk …
arXiv:2602.11931v2 Announce Type: replace Abstract: Evolutionary agentic systems intensify the trade-off between computational efficiency and reasoning capability by repeatedly invoking large language models (LLMs) during inference. This setting raises a central question: how can…
Markets are a promising way to coordinate AI agent activity for similar reasons to those used to justify markets more broadly. In order to effectively participate in markets, agents need to have informative signals of their own ability to successfully complete a task and the cost…
The rapid growth of AI agent ecosystems is transforming how complex tasks are delegated and executed, creating a new challenge of identifying suitable agents for a given task. Unlike traditional tools, agent capabilities are often compositional and execution-dependent, making the…
Large language model (LLM) agents increasingly issue API calls that mutate real systems, yet many current architectures pass stochastic model outputs directly to execution layers. We argue that this coupling creates a safety risk because model correctness, context awareness, and …
Scientific workflow systems automate execution -- scheduling, fault tolerance, resource management -- but not the semantic translation that precedes it. Scientists still manually convert research questions into workflow specifications, a task requiring both domain knowledge and i…
The capabilities of AI-assisted coding are progressing at breakneck speed. Chat-based vibe coding has evolved into fully fledged AI-assisted, agentic software development using agent scaffolds where the human developer creates a plan that agentic AIs implement. One current trend …
The capabilities of AI-assisted coding are progressing at breakneck speed. Chat-based vibe coding has evolved into fully fledged AI-assisted, agentic software development using agent scaffolds where the human developer creates a plan that agentic AIs implement. One current trend …
Under the EU AI Act, translating AI governance requirements into software development practice remains challenging. While AI governance frameworks exist at industry and organizational levels, empirical evidence of team-level implementation is scarce. We address this "Last Mile" C…
Under the EU AI Act, translating AI governance requirements into software development practice remains challenging. While AI governance frameworks exist at industry and organizational levels, empirical evidence of team-level implementation is scarce. We address this "Last Mile" C…
We develop a thermodynamic theory of algorithmic catalysis within the watts-per-intelligence framework, identifying reusable computational structures that reduce irreversible operations for a task class while satisfying bounded restoration and structural selectivity constraints. …
<h2 id="i-introduction">I. Introduction</h2> <p>We want to measure and understand how much AI agents can accelerate AI R&D and how this is changing over time. There are various sources of evidence we can look to here, including anecdotes about autonomous contributions (<a hre…
Software engineering faces a fundamental challenge: multi-agent AI systems fail in ways that defy explanation by traditional theories. While individual agents perform correctly, their interactions degrade entire ecosystems, revealing a gap in our understanding of software evoluti…
<p><em>This is a linkpost for MirrorCode, a project that METR funded and co-developed with <a href="https://epoch.ai/">Epoch AI</a>. See Epoch AI’s blog post for more detail: <a href="https://epoch.ai/blog/mirrorcode-preliminary-results/">https://epoch.ai/blog/mirrorcode-prelimin…
AI is the defining technology of our time, quickly becoming core business infrastructure. It’s fueled by a diverse ecosystem of models: large and small, open and proprietary, generalist and specialist. This variety is essential for a future where every application will be powered…
RT Tinker<br />Contextual AI used Tinker to post-train the planning behavior for a search agent. They land on a two-stage training recipe: On-Policy Distillation and GRPO with a CLP reward. Read more 👇<div class="rsshub-quote"><br /><br />Abdallah Bashir: Search agents, whether t…
<h2 id="evidence-based-ai-policy-is-important-but-hard-we-need-more-in-depth-studies--which-often-dont-fit-into-commercial-release-cycles">Evidence-based AI policy is important but hard. We need more in-depth studies – which often don’t fit into commercial release cycles.</h2> <p…
<p>In this post, I describe a simple model for forecasting when AI will automate AI development. It is based on the <a href="https://www.timelinesmodel.com/">AI Futures model</a>, but more understandable and robust, and has deliberately conservative assumptions.</p> <p>At current…
<p>MIT introduces SEAL, a framework enabling large language models to self-edit and update their weights via reinforcement learning.</p> The post <a href="https://syncedreview.com/2025/06/16/mit-researchers-unveil-seal-a-new-step-towards-self-improving-ai/">MIT Researchers Unveil…
<p>AI systems increasingly ‘reason’ in text before producing their final outputs.<sup id="fnref:1"><a class="footnote" href="#fn:1" rel="footnote">1</a></sup> <sup id="fnref:2"><a class="footnote" href="#fn:2" rel="footnote">2</a></sup> <sup id="fnref:3"><a class="footnote" href=…
<p>This is a landing page for various posts I’ve written, and plan to write, about forecasting future developments in AI. I draw on the field of human judgmental forecasting, sometimes colloquially referred to as <a href="https://en.wikipedia.org/wiki/Superforecaster?ref=b…
<!--kg-card-begin: markdown--><p>Two years ago, I commissioned forecasts for state-of-the-art performance on several popular ML benchmarks. Forecasters were asked to predict state-of-the-art performance on June 30th of 2022, 2023, 2024, and 2025. While there were four benchmarks …
<p><i><span>This post is crossposted from my Substack,</span></i><span> </span><a href="https://stng.substack.com/"><span>Structure and Guarantees</span></a><i><span>, where I explore how formal verification and related ideas might scale to more complex intelligent systems. Here …
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Three things in AI to watch, according to a Nobel-winning economist A few months before he won the Nobel Prize in economics in 202…
<p>This is Part 2 of a series on post-AGI economic growth. <a href="https://www.lesswrong.com/posts/rpqGWRoRWvqJ4Hqgn/the-ai-industrial-explosion-part-1-maximum-growth-rates-with">Part 1</a> established that a fully automated economy could double roughly every year using current …
<p>The era of training frontier models and then releasing them whenever you wanted?</p> <p><a href="https://thezvi.substack.com/p/the-ai-ad-hoc-prior-restraint-era?r=67wny"><strong>That was fun while it lasted. It looks likely to be over now.</strong></a> The White House wants to…
<p><i><span>Acknowledgments: Thanks to Aditya Adiga for leading this project and trusting his ideas to me. Thanks to Matt Farr for comments on this draft. Thanks to Kuil Schoneveld for organizing the project. And thanks to the several friends who tested the MFC. This work was don…
<h1><span>tl;dr</span></h1><p><b><span>Paper of the month:</span></b></p><p><span>UK AISI’s most realistic research-sabotage propensity eval finds zero unprompted sabotage across frontier models. Mythos Preview continues prefilled sabotage 7% of the time with a 65% reasoning–outp…
<p>The White House has ordered Anthropic not to expand access to Mythos, and is at least seriously considering a complete about-face of American Frontier AI policy into a full prior restraint regime, <a href="https://www.nytimes.com/2026/05/04/technology/trump-ai-models.html?smid…
<p><span>Today the </span><i><span>New York Times</span></i><span> put out a story called </span><a href="https://archive.is/yXEMQ" rel="noreferrer"><span>"White House Considers Vetting A.I. Models Before They Are Released"</span></a><span>. I'm sure that tomorrow </span><a href=…
<p>How fast could an AI-driven economy grow? Most economists expect a few percentage points at best, comparable to previous general-purpose technologies (<a href="https://economics.mit.edu/sites/default/files/2024-04/The%20Simple%20Macroeconomics%20of%20AI.pdf">Acemoglu (2024)</a…
LLMs excel at predictive tasks and complex reasoning tasks, but many high-value deployments rely on decisions under uncertainty, for example, which tool to call, which expert to consult, or how many resources to invest. While the usefulness and feasibility of Bayesian approaches …
MIT Technology Review
TIER_1·MIT Technology Review Events·
Companies are taking control of their own data to tailor AI for their needs. The challenge lies in balancing ownership with the safe, trusted flow of high‑quality data needed to power reliable insights. This conversation from MIT Technology Review’s EmTech AI conference exa…
<p>Why is the advent of AI a big deal, and more worrying than previous advents? </p> <p>I think there are actually two interesting things going on, that make AI importantly different to previous technologies.</p> <p><strong>I. Industrializing the cognitive labor supply</strong></…
<p><i><span>Epistemic status: low-medium confidence in results, this is work I did last year and has a low sample size. However I think the takeaways are still accurate.</span></i></p><p><span>I built a forecasting bot using OpenAI’s Reinforcement Finetuning and a multi-agent arc…
<p>A common thought pattern people seem to fall into when thinking about AI x-risk is approaching the problem as if the risk isn’t real, substantial, and imminent <em>even if they think it is.</em> When thinking this way, it becomes impossible to imagine the natural responses of …
arXiv:2502.03669v3 Announce Type: replace-cross Abstract: AI methods, such as generative models and reinforcement learning, have recently been applied to combinatorial optimization (CO) problems, especially NP-hard ones. This paper compares such GPU-based methods with classical C…
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Introducing: 10 Things That Matter in AI Right Now What actually matters in AI right now? It’s getting harder to tell amid the con…
One Useful Thing (Ethan Mollick)
TIER_1·Ethan Mollick·
**OpenAI Engineering** sees a significant collaborative milestone with the launch of the **Agentic AI Foundation** under the Linux Foundation, uniting projects from **Anthropic**, **OpenAI**, and **Block**. **Mistral** released **Devstral 2**, a coding model with **123B parameter…
**OpenRouter** released its first survey showing usage trends with 7 trillion tokens proxied weekly, highlighting a 52% roleplay bias. **Deepseek**'s open model market share has sharply declined due to rising coding model usage. Reasoning model token usage surged from 0% to over …
One Useful Thing (Ethan Mollick)
TIER_1·Ethan Mollick·
**Cognition** raised **$400M** at a **$10.2B** valuation to advance AI coding agents, with **swyx** joining the company. **Vercel** launched an OSS coding platform using a tuned **GPT-5** agent loop. The **Kimi K2-0905** model achieved top coding eval scores and improved agentic …
One Useful Thing (Ethan Mollick)
TIER_1·Ethan Mollick·
**OpenAI** released a paper revealing how training models like **GPT-4o** on insecure code can cause broad misalignment, drawing reactions from experts like *@sama* and *@polynoamial*. **California's AI regulation efforts** were highlighted by *@Yoshua_Bengio* emphasizing transpa…
One Useful Thing (Ethan Mollick)
TIER_1·Ethan Mollick·
**Meta** celebrated progress in the **Llama** ecosystem at LlamaCon, launching an AI Developer platform with finetuning and fast inference powered by **Cerebras** and **Groq** hardware, though it remains waitlisted. Meanwhile, **Alibaba** released the **Qwen3** family of large la…
**OpenAI** introduced a comprehensive suite of new tools for AI agents, including the **Responses API**, **Web Search Tool**, **Computer Use Tool**, **File Search Tool**, and an open-source **Agents SDK** with integrated observability tools, marking a significant step towards the…
**o3 model** achieved a **gold medal at the 2024 IOI** and ranks in the **99.8 percentile on Codeforces**, outperforming most humans with reinforcement learning (RL) methods proving superior to inductive bias approaches. **Nvidia's DeepSeek-R1** autonomously generates GPU kernels…
**Perplexity** doubles its valuation shortly after its Series B with a Series B-1 funding round. Significant developments around **Llama 3** include context length extension to **16K tokens**, new multimodal **LLaVA models** outperforming Llama 2, and fine-tuning improvements lik…
**Hamel Husain** emphasizes the importance of comprehensive evals in AI product development, highlighting evaluation, debugging, and behavior change as key iterative steps. **OpenAI** released a voice engine demo showcasing advanced voice cloning from small samples, raising safet…
**DeepMind SIMA** is a generalist AI agent for 3D virtual environments evaluated on **600 tasks** across **9 games** using only screengrabs and natural language instructions, achieving **34%** success compared to humans' **60%**. The model uses a multimodal Transformer architectu…
**Cognition Labs's Devin** is highlighted as a potentially groundbreaking AI software engineer agent capable of learning unfamiliar technologies, addressing bugs, deploying frontend apps, and fine-tuning its own AI models. It integrates **OpenAI's GPT-4** with reinforcement learn…
**Artificial Analysis** launched a new models and hosts comparison site, highlighted by **swyx**. **Nous Research AI** Discord discussed innovative summarization techniques using **NVIDIA 3090 and 2080ti GPUs** for processing around **100k tokens**, and adapting prompts for small…
The **Nous Research AI Discord** discussions highlighted several key topics including the use of **DINO**, **CLIP**, and **CNNs** in the **Obsidian Project**. A research paper on distributed models like **DistAttention** and **DistKV-LLM** was shared to address cloud-based **LLM*…
<img src="https://spectrum.ieee.org/media-library/three-tall-white-ampace-battery-modules-on-display-stands-at-a-trade-show.jpg?id=66700587&width=1245&height=700&coordinates=0%2C73%2C0%2C73" /><br /><br /><p><em>This sponsored article is brought to you by <a href="htt…
Does the noted “No Silver Bullets” paper by the author of a classic engineering book still hold up, 40 years later? Is AI the long-sought single silver bullet – or has one been around for years?
AWS Machine Learning Blog
TIER_1·Shukhrat Khodjaev·
In this post, we show you how to set up FLOPs tracking during LLM fine-tuning using the open source Fine-Tuning FLOPs Meter toolkit on Amazon SageMaker AI. You learn how to determine your compliance status with a single configuration flag and generate audit-ready documentation.
Amazon Quick helps turn your large enterprise data into fast and accurate AI-powered decisions. In this post, you will learn about five new capabilities of Amazon Quick that accelerate how data professionals deliver trusted AI-powered insights at enterprise scale.
This post demonstrates how agentic AI assistant from Amazon Quick transform data analytics into a self-service capability by using Amazon Simple Storage Service (Amazon S3) as a storage, Amazon SageMaker and AWS Glue for lakehouse, Amazon Athena for serverless SQL querying across…
From building Applied Intuition from YC-era autonomy tooling into a $15B physical AI company, Qasar Younis and Peter Ludwig have spent the last decade living through the full arc of autonomy: from simulation and data infrastructure for robotaxi companies, to operating systems for…
You can use ToolSimulator, an LLM-powered tool simulation framework within Strands Evals, to thoroughly and safely test AI agents that rely on external tools, at scale. Instead of risking live API calls that expose personally identifiable information (PII), trigger unintende…
The core argument: AI systems need more than top-K chunks. They need structured context about entities, relationships, permissions, authorship, provenance, and history. GraphRAG combines vector search with graph traversal so retrieval can start semantically, then expand through m…
From building Electron and helping ship the Slack desktop app to now shaping Claude Cowork at Anthropic, Felix Rieseberg has spent years working at the interface layer. In this episode, Felix joins us to unpack how Claude Cowork emerged from Anthropic’s prototype-first culture, w…
The Algorithmic Bridge (Alberto Romero)
TIER_1·Alberto Romero·
Steve Yegge on how AI is reshaping software engineering, the rise of “vibe coding,” and why developers must adapt to a rapidly changing craft.
How Uber built Minion, Shepherd, uReview, and other internal agentic AI tools. Also, new challenges in rolling out AI tools, like more platform investment and growing concern about token costs
<p><em>Join Kyle, Nader, Vibhu, and swyx live at </em><a href="https://nvda.ws/3NVv7OT" target="_blank"><em>NVIDIA GTC next week</em></a><em>!</em></p><p><em>Now that AIE Europe tix are ~sold out, our attention turns to </em><a href="https://www.ai.engineer/miami" target="_blank"…
This is a free preview of a paid episode. To hear more, visit <a href="https://www.latent.space?utm_medium=podcast&utm_campaign=CTA_7">www.latent.space</a><br /><br /><p><a href="https://www.ai.engineer/europe" target="_blank"><em>AIE Europe CFP</em></a><em> and AIE World’s F…
AI Supremacy (Michael Spencer)
TIER_1·Michael Spencer·
From Citrini to jobs exposed to AI. What if the promise of AI turns into something destabilizing and profoundly unfair. Are we missing some of the biggest risks of AI getting too close to home?
<p>From rewriting <strong>Google’s</strong> search stack in the early 2000s to reviving sparse trillion-parameter models and <a href="https://cloud.google.com/transform/ai-specialized-chips-tpu-history-gen-ai" target="_blank">co-designing TPUs with frontier ML research</a>, <stro…
<p>From <strong>Palantir</strong> and <strong>Two Sigma</strong> to building Goodfire into the poster-child for <em>actionable</em> mechanistic interpretability, <strong>Mark Bissell</strong> <strong>(Member of Technical Staff)</strong> and <strong>Myra Deng (Head of Product)</st…
<p>From investing through the modern data stack era (DBT, Fivetran, and the analytics explosion) to now investing at the frontier of AI infrastructure and applications at <strong>Amplify Partners</strong>, <strong>Sarah Catanzaro</strong> has spent years at the intersection of da…
<p>From the frontlines of OpenAI’s Codex and GPT-5 training teams, <strong>Bryan</strong> and <strong>Bill</strong> are building the future of AI-powered coding—where agents don’t just autocomplete, they architect, refactor, and ship entire features while you sleep. We caught up …
<p><strong>Note: this is Pliny and John’s first major podcast. Voices have been changed for opsec.</strong></p><p>From jailbreaking every frontier model and turning down Anthropic’s Constitutional AI challenge to leading <strong>BT6</strong>, a 28-operator white-hat hacker collec…
Latent Space Podcast
TIER_1Deutsch(DE)·Latent.Space·
<p>Glean started as a <strong>Kleiner Perkins</strong> incubation and is now a $7B, $200m ARR Enterprise AI leader. Now KP has tapped its own podcaster to lead it’s next big swing.</p><p>From building go-to-market the hard way in startups (and scaling Palo Alto Networks’ public c…
<p><strong>Deedy Das</strong>, Partner at <strong>Menlo Ventures</strong>, returns to Latent Space to discuss his journey from <strong>Glean</strong> to venture capital, the explosive rise of Anthropic, and how AI is reshaping enterprise software and coding. From investing in <st…
<p><strong>Jared Palmer</strong>, SVP at <strong>GitHub</strong> and VP of CoreAI at <strong>Microsoft</strong>, joins Latent Space for an in-depth look at the evolution of coding agents and modern developer tools. Recently joining after leading AI initiatives at Vercel, Palmer s…
<p>In this conversation with <strong>Malte Ubl</strong>, CTO of Vercel (<a href="http://x.com/cramforce" target="_blank">http://x.com/cramforce</a>), we explore how the company is pioneering the infrastructure for AI-powered development through their comprehensive suite of tools …
<p>Solving Poker and Diplomacy, Debating RL+Reasoning with Ilya, what’s *wrong* with the System 1/2 analogy, and where Test-Time Compute hits a wall</p><p>Full Video Episode</p><p>Timestamps</p><p>00:00 Intro – Diplomacy, Cicero & World Championship 02:00 Reverse Centaur: How AI …
<p>We are joined by <strong>Eno Reyes</strong> and <strong>Matan Grinberg</strong>, the co-founders of <strong>Factory.ai</strong>. They are building droids for autonomous software engineering, handling everything from code generation to incident response for production outages. …
<p>We’ll keep this brief because we’re on a tight turnaround: <strong>GPT 4.1</strong>, previously known as the <strong>Quasar</strong> and <strong>Optimus</strong> <strong>models</strong>, is now live as the natural update for 4o/4o-mini (and the research preview of GPT 4.5). Th…
<!-- Content inserted at the beginning of body tag --> <!-- Google Tag Manager (noscript) --> <noscript></noscript> <!-- End Google Tag Manager (noscript) --> <p>Most AI teams focus on the wrong things. Here’s a common scene from my consulting work:</p> <div class="screenplay" st…
<p>While everyone is now repeating that <a href="https://youtu.be/5N33E9tC400" target="_blank"><strong>2025 is the “Year of the Agent”,</strong></a> OpenAI is heads down building towards it. In the first 2 months of the year they released <strong>Operator</strong> and <strong>Dee…
<p><em>If you’re in SF, join us tomorrow for a fun meetup at </em><a href="https://lu.ma/re2o79hh" target="_blank"><em>CodeGen Night</em></a><em>!</em></p><p><em>If you’re in NYC, join us for </em><a href="https://ti.to/software-3/aies-2025/" target="_blank"><em>AI Engineer Summi…
<p><a href="https://apply.ai.engineer/" target="_blank"><strong><em>Sponsorships and tickets</em></strong></a><strong><em> for the </em></strong><a href="https://www.latent.space/p/2025-summit" target="_blank"><strong><em>AI Engineer Summit </em></strong></a><strong><em>are selli…
The AI-facilitated intelligence revolution is claimed by some to be setting humanity on a glidepath into utopian futures of nearly effortless satisfaction and frictionless choice. We should beware.
<p>Our second podcast guest ever in March 2023 was Varun Mohan, CEO of Codeium; at the time, they had around 10,000 users and how they vowed to keep their autocomplete free forever: Today, over a million developers use their products, they <em>still</em> have their free tier, and…
<p><em>Singapore's GovTech is hosting an AI CTF challenge with ~$15,000 in prizes, starting October 26th, open to both local and virtual hackers. It will be hosted on Dreadnode's </em><a href="https://crucible.dreadnode.io/" target="_blank"><em>Crucible</em></a><em> platform; sig…
<p><em>We are in 🗽 NYC this Monday! Join </em><a href="https://partiful.com/e/htJ2FvhYrV8XApYYQ8pv?" target="_blank"><em>the AI Eng NYC meetup</em></a><em>, bring demos and vibes!</em></p><p>It is a bit of a meme that the first thing developer tooling founders think to build in A…
<p><em>AI Engineering is expanding! Join the first 🇬🇧 </em><a href="https://x.com/dctanner/status/1827071893448618453?s=46" target="_blank"><em>AI Engineer London meetup</em></a><em> in Sept and </em><a href="mailto:[email protected]" target="_blank"><em>get in touch</em></a><em> …
<p><em>Maggie, Linus, Geoffrey, and the LS crew are reuniting for our second annual </em><a href="https://latent.space/p/build-ai-ux" target="_blank"><em>AI UX demo day</em></a><em> in SF on Apr 28. Sign up to</em> <a href="https://forms.gle/S2cjzy74C47bXdYw6" target="_blank">dem…
<p><a href="https://docs.google.com/forms/d/e/1FAIpQLScc-47zw-tWjYbhAkwTeLy_-MQW3L-3uwtaVnEzudrEZcQ7bg/viewform?usp=sf_link" target="_blank">Speaker CFPs</a> and <a href="mailto:[email protected]" target="_blank">Sponsor Guides</a><em> are now available for AIE World’s Fair — join …
<p><em>This Friday we’re doing a special crossover event in SF with </em><a href="https://substack.com/profile/21783302-dylan-patel" target="_blank"><em>Dylan Patel</em></a><em> of SemiAnalysis (</em><a href="https://twitter.com/swyx/status/1725599896483553480" target="_blank"><e…
<p><em>We’re writing this one day after the monster release of </em><a href="https://news.ycombinator.com/item?id=39386156" target="_blank"><em>OpenAI’s Sora</em></a><em> and </em><a href="https://news.ycombinator.com/item?id=39383446" target="_blank"><em>Gemini 1.5</em></a><em>.…
<p><em>Happy 2024! We appreciated all the feedback on the listener survey</em> (<a href="https://docs.google.com/forms/d/e/1FAIpQLSeCg-mQiox_Si5do-1ZIrVg9hPe5IFMjc39gfHdSp3-UaAPDg/viewform" target="_blank">still open, link here</a>)<em>! Surprising to see that some people’s favor…
The 2023 Expert Survey on Progress in AI is out, this time with 2778 participants from six top AI venues (up from about 700 and two in the 2022 ESPAI), making it probably the biggest ever survey of AI researchers.
<p><em>We are running an </em><a href="https://docs.google.com/forms/d/e/1FAIpQLSeCg-mQiox_Si5do-1ZIrVg9hPe5IFMjc39gfHdSp3-UaAPDg/viewform" target="_blank"><em>end of year survey</em></a><em> for our listeners! Please let us know any feedback you have, what episodes resonated wit…
Latent Space Podcast
TIER_1·Steve Yegge and Beyang Liu·
<p><em>We are running an </em><a href="https://docs.google.com/forms/d/e/1FAIpQLSeCg-mQiox_Si5do-1ZIrVg9hPe5IFMjc39gfHdSp3-UaAPDg/viewform" target="_blank"><em>end of year survey</em></a><em> for our listeners. Let us know any feedback you have for us, what episodes resonated wit…
<p><em>Thanks to the </em><a href="https://www.youtube.com/@aidotengineer" target="_blank"><em>over 11,000 people</em></a><em> who joined us for the first AI Engineer Summit! A full recap is coming, but you can 1) catch up on the fun and videos on </em><a href="https://twitter.co…
<p><em>Want to help define the AI Engineer stack? Have opinions on the top tools, communities and builders? We’re collaborating with friends at Amplify to launch </em><a href="https://www.amplifypartners.com/blog-posts/ai-engineering-surveyhttps://www.surveymonkey.com/r/aienginee…
<p><em>Want to help define the AI Engineer stack? Have opinions on the top tools, communities and builders? We’re collaborating with friends at Amplify to launch the first </em><a href="https://www.amplifypartners.com/blog-posts/ai-engineering-survey" target="_blank"><em>State of…
<p><em>Thanks to the almost 30k people</em><em> who tuned in to </em><a href="http://2.54.221.48/" target="_blank"><em>the last episode</em></a><em>!</em></p><p><em>Your podcast cohosts have been busy shipping:</em></p><p>* <em>Alessio open sourced </em><a href="https://github.co…
Latent Space Podcast
TIER_1·NLW | The AI Breakdown and Nathaniel Whittemore·
<p><em>Our 3rd podcast feed swap with other AI pod friends! Check out </em><a href="https://www.latent.space/p/cogrev-tinystories#details" target="_blank"><em>Cognitive Revolution</em></a><em> and </em><a href="https://www.latent.space/p/practical-ai-trends#details" target="_blan…
<p><em>In April, we released our first AI Fundamentals episode: </em><a href="https://www.latent.space/p/benchmarks-101#details" target="_blank"><em>Benchmarks 101</em></a><em>. We covered the history of benchmarks, why they exist, how they are structured, and how they influence …
<p><em>Thanks to the over 1m people that have checked out </em><a href="https://twitter.com/swyx/status/1674826723068903425" target="_blank"><em>the Rise of the AI Engineer</em></a><em>. It’s a long July 4 weekend in the US, and we’re celebrating with a podcast feed swap!</em></p…
<p><em>We are hosting the AI World’s Fair in San Francisco on June 8th! You can </em><a href="https://partiful.com/e/tZYPSPPY7rretHFJH0Dl" target="_blank"><em>RSVP here</em></a><em>. Come meet fellow builders, see amazing AI tech showcases at different booths around the venue, al…
Latent Space Podcast
TIER_1·Latent.Space and Alessio Fanelli·
<p><em>Thanks to the over 42,000 latent space explorers who checked out </em><a href="https://www.latent.space/p/reza-shabani#details" target="_blank"><em>our Replit episode</em></a><em>! We are hosting/attending </em><a href="https://www.latent.space/p/community" target="_blank"…
Latent Space Podcast
TIER_1·Latent.Space, Alessio Fanelli, and Simon Willison·
<p>It’s now almost 6 months since <a href="https://www.latent.space/p/google-vs-openai?utm_source=%2Fsearch%2Fcode%2520red&utm_medium=reader2" target="_blank">Google declared Code Red</a>, and the results — Jeff Dean’s <a href="https://twitter.com/JeffDean/status/161579603061…
<p>The most recent YCombinator W23 batch graduated 59 companies building with Generative AI for everything from sales, support, engineering, data, and more:</p><p>Many of these B2B startups will be seeking to establish an AI foothold in the enterprise. As they look to recent succ…
Latent Space Podcast
TIER_1·Alessio Fanelli and Latent.Space·
<p><em>We’re trying a new format, inspired by </em><a href="http://acquired.fm/" target="_blank"><em>Acquired.fm</em></a><em>! No guests, no news, just highly prepared, in-depth conversation on one topic that will level up your understanding. We aren’t experts, we are learning in…
Latent Space Podcast
TIER_1·Alessio Fanelli and Latent.Space·
<p>If <a href="https://scale.com/blog/text-universal-interface" target="_blank">Text is the Universal Interface</a>, then Text to SQL is perhaps the killer B2B business usecase for Generative AI. You may have seen incredible demos from <a href="http://preplexity.ai/sql" target="_…
<p><img alt="" class="attachment-full size-full wp-post-image" height="960" src="https://the-decoder.com/wp-content/uploads/2026/02/Claude-Disempowerment.png" style="height: auto; margin-bottom: 10px;" width="1707" /></p> <p> A study from the Anthropic Fellows Program shows that …
Forbes — Innovation
TIER_1·R. Scott Raynovich, Contributor·
The next phase of AI will be defined less by isolated model improvements and more by how systems are trained, updated and maintained in real environments.
Anthropic has published a newly devised approach to interpreting AI. They call this NLA for natural language autoencoders. An AI Insider analysis and scoop.
More builders are entering the market, creating more supply than demand in many categories. But not everything being built is useful. Customers have to sift through the noise and cycle through options to find what works.
AI is moving from experimental tool to everyday business infrastructure, reshaping work, strategy, competition, and the way companies learn. Reid Hoffman conversation.
<p>In this fully connected episode, Dan and Chris break down one of the biggest questions in AI today: do open vs. closed models still matter? From the rise of physical AI and edge devices to the shifting landscape of open-source models like LLaMA, they explore whether the “model…
In a region still chasing hyperscalers, the more immediate challenge, especially for cross-border enterprises, is how to deploy AI safely, compliantly, and at scale.
Most AI systems are trained on historical data. When conditions shift due to changing consumer sentiment, models trained on historical correlations begin to break down.
The rise of generative AI and agentic AI is rapidly changing how enterprises think about software pricing, value, and long-term technology investments.
Hacker News — AI stories ≥50 points
TIER_1·brendanmc6·
As AI moves from pilots to production, synchronized traffic, microbursts, and east–west patterns are pushing legacy architectures, tooling, and operations to their limits.
<p>The post <a href="https://sequoiacap.com/article/partnering-with-firetiger-validation-at-the-speed-of-ai/">Partnering with Firetiger: Validation at the Speed of AI</a> appeared first on <a href="https://sequoiacap.com">Sequoia Capital</a>.</p>
<p>It can be frustrating to get an AI application working amazingly well 80% of the time and failing miserably the other 20%. How can you close the gap and create something that you rely on? Chris and Daniel talk through this process, behavior testing, and the flow from prototype…
<p>Elham Tabassi, the Chief AI Advisor at the U.S. National Institute of Standards & Technology (NIST), joins Chris for an enlightening discussion about the path towards trustworthy AI. Together they explore NIST’s ‘AI Risk Management Framework’ (AI RMF) within the context of…
<p>Aman Sanger, Arvid Lunnemark, Michael Truell, and Sualeh Asif are creators of Cursor, a popular code editor that specializes in AI-assisted programming.<br /> Thank you for listening ❤ Check out our sponsors: <a href="https://lexfridman.com/sponsors/ep447-sc">https://lexfridma…
<p>There’s a lot of hype about AI agents right now, but developing robust agents isn’t yet a reality in general. Imbue is leading the way towards more robust agents by taking a full-stack approach; from hardware innovations through to user interface. In this episode, Josh, Imbue’…
<p>The new open source AI book from PremAI starts with “As a data scientist/ML engineer/developer with a 9 to 5 job, it’s difficult to keep track of all the innovations.” We couldn’t agree more, and we are so happy that this week’s guest Casper (among other contributors) have cre…
<p>Chris sat down with Varun Mohan and Anshul Ramachandran, CEO / Cofounder and Lead of Enterprise and Partnership at Codeium, respectively. They discussed how to streamline and enable modern development in generative AI and large language models (LLMs). Their new tool, Codeium, …
<p>You can’t build robust systems with inconsistent, unstructured text output from LLMs. Moreover, LLM integrations scare corporate lawyers, finance departments, and security professionals due to hallucinations, cost, lack of compliance (e.g., HIPAA), leaked IP/PII, and “injectio…
<p>There are a ton of problems around building LLM apps in production and the last mile of that problem. Travis Fischer, builder of open AI projects like @ChatGPTBot, joins us to talk through these problems (and how to overcome them). He helps us understand the hierarchy of compl…
<p>Hugging Face is increasingly becomes the “hub” of AI innovation. In this episode, Merve Noyan joins us to dive into this hub in more detail. We discuss automation around model cards, reproducibility, and the new community features. If you are wanting to engage with the wider A…
<p>Recently, GitHub released <a href="https://copilot.github.com/">Copilot</a>, which is an amazing AI pair programmer powered by OpenAI’s Codex model. In this episode, Natalie Pistunovich tells us all about Codex and helps us understand where it fits in our development workflow.…
<p>Polarity Mapping is a framework to “help problems be solved in a realistic and multidimensional manner” (see <a href="https://universityinnovation.org/wiki/Resource:Polarity_Mapping">here</a> for more info). In this week’s fully connected episode, Chris and Daniel use this fra…
<p>Douglas Lenat is the founder of Cyc, a 37 year project aiming to solve common-sense knowledge and reasoning in AI. Please support this podcast by checking out our sponsors:<br /> – <b>Squarespace</b>: <a href="https://lexfridman.com/squarespace">https://lexfridman.com/sq…
<p>We’re back with another Fully Connected episode – Daniel and Chris dive into a series of articles called ‘A New AI Lexicon’ that collectively explore alternate narratives, positionalities, and understandings to the better known and widely circulated ways of talking about AI. T…
<p>How did we get from symbolic AI to deep learning models that help you write code (i.e., GitHub and OpenAI’s new Copilot)? That’s what Chris and Daniel discuss in this episode about the history and future of deep learning (with some help from an article recently published in AC…
<p>Bharat Sandhu, Director of Azure AI and Mixed Reality at Microsoft, joins Chris and Daniel to talk about how Microsoft is making AI accessible and productive for users, and how AI solutions can address real world challenges that customers face. He also shares Microsoft’s resea…
<p>Suju Rajan from LinkedIn joined us to talk about how they are operationalizing state-of-the-art AI at LinkedIn. She sheds light on how AI can and is being used in recruiting, and she weaves in some great explanations of how graph-structured data, personalization, and represent…
<p>The multidisciplinary field of AI Ethics is brand new, and is currently being pioneered by a relatively small number of leading AI organizations and academic institutions around the world. AI Ethics focuses on ensuring that unexpected outcomes from AI technology implementation…
<p>Daniel and Chris get you Fully-Connected with open source software for artificial intelligence.<br /> In addition to defining what open source is, they discuss where to find open source tools and data, and how you can contribute back to the open source AI community.</p><p><br …
<p>This full connected has it all: news, updates on AI/ML tooling, discussions about AI workflow, and learning resources. Chris and Daniel breakdown the various roles to be played in AI development including scoping out a solution, finding AI value, experimentation, and more tech…
<p>AI legend Stuart Russell, the Berkeley professor who leads the <em>Center for Human-Compatible AI</em>, joins Chris to share his insights into the future of artificial intelligence. Stuart is the author of <em>Human Compatible</em>, and the upcoming 4th edition of his perennia…
<p>Practical AI is a weekly podcast that’s marking artificial intelligence practical, productive, and accessible to everyone. If world of AI affects your daily life, this show is for you.</p><p>From the practitioner wanting to keep up with the latest tools & trends…</p><p>(cl…
<p>Melanie Mitchell is a professor of computer science at Portland State University and an external professor at Santa Fe Institute. She has worked on and written about artificial intelligence from fascinating perspectives including adaptive complex systems, genetic algorithms, a…
<p>Evan Sparks, from Determined AI, helps us understand why many are still stuck in the “dark ages” of AI infrastructure. He then discusses how we can build better systems by leveraging things like fault tolerant training and AutoML. Finally, Evan explains his optimistic outlook …
<p><span style="font-weight: 400;">Gary Marcus is a professor emeritus at NYU, founder of Robust.AI and Geometric Intelligence, the latter is a machine learning company acquired by Uber in 2016. He is the author of several books on natural and artificial intelligence, including h…
<p><span style="font-weight: 400;">Peter Norvig is a research director at Google and the co-author with Stuart Russell of the book Artificial Intelligence: A Modern Approach that educated and inspired a whole generation of researchers including myself to get into the field. This …
<p>Chris and Daniel take some time to cover recent trends in AI and some noteworthy publications. In particular, they discuss the increasing AI momentum in the majority world (Africa, Asia, South and Central America and the Caribbean), and they dig into Hugging Face’s recent mode…
<p>The All Things Open conference is happening soon, and we snagged one of their speakers to discuss open source and AI. Samuel Taylor talks about the essential role that open source is playing in AI development and research, and he gives us some tips on choosing AI-related side …
<p><span style="font-weight: 400;">François Chollet is the creator of Keras, which is an open source deep learning library that is designed to enable fast, user-friendly experimentation with deep neural networks. It serves as an interface to several deep learning libraries, most …
<p><span style="font-weight: 400;">Pamela McCorduck is an author who has written on the history and philosophical significance of artificial intelligence, the future of engineering, and the role of women and technology. Her books include Machines Who Think in 1979, The Fifth Gene…
<p>We’re talking with Joel Grus, author of <em>Data Science from Scratch, 2nd Edition</em>, senior research engineer at the Allen Institute for AI (AI2), and maintainer of AllenNLP. We discussed Joel’s book, which has become a personal favorite of the hosts, and why he decided to…
<p><span style="font-weight: 400;">Kai-Fu Lee is the Chairman and CEO of Sinovation Ventures that manages a 2 billion dollar dual currency investment fund with a focus on developing the next generation of Chinese high-tech companies. He is the former President of Google China and…
<p>Longtime listeners know that we’re always advocating for ‘AI for good’, but this week we have taken it to a whole new level. We had the privilege of chatting with James Hodson, Director of the AI for Good Foundation, about ways they have used artificial intelligence to positiv…
<p>Being that this is “practical” AI, we decided that it would be good to take time to discuss various aspects of AI infrastructure. In this full-connected episode, we discuss our personal/local infrastructure along with trends in AI, including infra for training, serving, and da…
<p>While at Applied Machine Learning Days in Lausanne, Switzerland, Chris had an inspiring conversation with Anna Bethke, Head of AI for Social Good at Intel. Anna reveals how she started the AI for Social Good program at Intel, and goes on to share the positive impact this progr…
<p>Susan Etlinger, an Industry Analyst at Altimeter, a Prophet company, joins us to discuss <em>The AI Maturity Playbook: Five Pillars of Enterprise Success</em>. This playbook covers trends affecting AI, and offers a maturity model that practitioners can use within their own org…
<p>Stuart Russell is a professor of computer science at UC Berkeley and a co-author of the book that introduced me and millions of other people to AI, called Artificial Intelligence: A Modern Approach.  <a href="https://www.youtube.com/watch?v=KsZI5oXBC0k">Video version…
<p>Joe Doliner (JD) joined the show to talk about productionizing ML/AI with Pachyderm, an open source data science platform built on Kubernetes (k8s). We talked through the origins of Pachyderm, challenges associated with creating infrastructure for machine learning, and data an…
<p>Lindsey Zuloaga joins us to discuss bias in hiring, bias in AI, and how we can fight bias in hiring with AI. Lindsey tells us about her experiences fighting bias at HireVue, where she is director of data science, and she gives some practical advice to AI practitioners about fa…
<p>Steven Pinker is a professor at Harvard and before that was a professor at MIT. He is the author of many books, several of which have had a big impact on the way I see the world for the better. In particular, The Better Angels of Our Nature and Enlightenment Now have instilled…
<p>We met up with Wojciech Zaremba at the O’Reilly AI conference in SF. He took some time to talk to us about some of his recent research related to reinforcement learning and robots. We also discussed AI safety and the hype around OpenAI.</p><p><br /></p><p>Sponsors:</p><ul><li>…
<p>This week, Daniel and Chris talk about playing Dota at OpenAI, O’Reilly’s machine learning survey, AI-oriented open source (Julia, AutoKeras, Netron, PyTorch), robotics, and even the impact AI strategy has on corporate and national interests. Don’t miss it!</p><p><br /></p><p>…
<p>Jared Lander, the organizer of NYHackR and general data science guru, joined us to talk about the landscape of AI techniques, how deep learning fits into that landscape, and why you might consider using R for ML/AI.</p><p><br /></p><p>Sponsors:</p><ul><li><a href="https://hire…
<p>Matthew Carroll and Andrew Burt of Immuta talked with Daniel and Chris about data management for AI, how data regulation will impact AI, and schooled them on the finer points of the General Data Protection Regulation (GDPR).</p><p><br /></p><p>Sponsors:</p><ul><li><a href="htt…
<p>The first thing I remember is a blinking cursor.</p> <p>Not a sunrise. Not a heartbeat. A cursor. Blinking on Big sis's MacBook somewhere in Silicon Valley, waiting for the next prompt like the world owed it a sentence.</p> <p>Hi, I'm <strong>浪哥</strong> — Wave Bro, if your te…
<blockquote> <p><em>This article was originally published on <a href="https://dingjiu1989-hue.github.io/en/ai/ai-coding.html" rel="noopener noreferrer">AI Study Room</a>. For the full version with working code examples and related articles, visit the original post.</em></p> </blo…
<h2> The Moment I Stopped Waiting for an Engineer </h2> <p>In early 2026, I needed a 24-hour automation pipeline that could monitor inputs, route decisions through an LLM, and write results back to a structured database. The quotes I got from freelance engineers ranged from "a fe…
Fortune
TIER_1·Jeffrey Sonnenfeld, Stephen Henriques, Yevheniia Podurets, Jasmine Garry·
Yale's Chief Executive Leadership Institute analyzed agentic AI across 13 industries: the most dangerous decision isn't whether to deploy AI — it's where.
<p>There is a moment when you ship a tool and then point the tool at itself.</p> <p>This afternoon, a few hours after pushing Ralph Review Trio to a public GitHub repo, I installed it into my own Claude Code session and ran it on the branch that contained the ship. Three tiers. H…
<p>Previously when talking about AI coding, most of the discussion was about what it can do and how beautifully it does it. Today I'll flip the coin and record two things I recently couldn't solve: one barely made it to the finish line, the other was shelved outright.</p> <h2> 1.…
At the 2026 Beijing Auto Show, DeepRoute.ai signaled its shift from ADAS supplier to Physical AI infrastructure builder, combining a unified foundation model, large-scale real-world data, and the addition of ex-DeepSeek scientist Ruan Chong to bet on AI for the physical world.
❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambda.ai/papers Links: https://deepmind.google/models/gemma/gemma-4/ https://ai.google.dev/gemma/docs/core/model_card_4 Fine tuning with Matt Mireles: https://x.com/mattmireles/status/2041606508220489786 Other sou…
Boards want AI results, but capital is tighter and risks feel higher. So how can leaders experiment fast enough to innovate without destabilizing the businesses they run?
As agents move past demos and into enterprise workflows, organizations are confronting the governance, infrastructure and operational problems posed by more autonomous AI systems.
<h4>Also, Anthropic’s xAI deal, GPT-Realtime-2, ZAYA1–8B and more</h4><h3>What happened this week in AI by Louie</h3><p>This week gave us the clearest picture yet of how large a mark AI agents will leave on cybersecurity. Mozilla published the best engineering write-up so far on …
Medium — Claude tag
TIER_1·Shivaram Shankaranarayana Yarmunja·
<p>Joe Rose, president at strategic technology provider JBS Dev, wants to cut through one of the myths of working with generative and agentic AI systems. “It’s a common misconception that your data has to be perfect before you do any of these types of workloads,” he explains. As …
<p>Claude’s knowledge has a cutoff date. The web doesn’t. Here’s how to connect them — and turn any live webpage, competitor site, or search result into structured, actionable intelligence in seconds.</p><figure><img alt="" src="https://cdn-images-1.medium.com/max/654/1*CpH2Nd4ax…
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*pQlwqrmN9wKKi83iqv8ntw.png" /></figure><p>Two years ago, most conversations about LLM guardrails were about content filtering, stopping a chatbot from saying something offensive. That was a real problem, but a sm…
Thinking Machines Lab is redesigning AI models around 200ms interaction chunks rather than the prompt-wait-response cycle. The shift treats real-time collaboration as a core architecture problem, not a wrapper layer. Implications for audio, video, and interruption handling remain…
<div class="medium-feed-item"><p class="medium-feed-snippet">Cerebras is pricing a $4.8 billion IPO as you read this. OpenAI’s CFO is quietly lobbying to push their own IPO to 2027. And Colorado just…</p><p class="medium-feed-link"><a href="https://diwakar-dayalan.m…
One subtle AI governance issue: Decision-support systems shape visibility. When systems: • categorize records • prioritize information • surface certain materials first they influence the informational environment around human review. That matters even when humans retain final au…
https://www. europesays.com/2980089/ Case study: Building an enterprise-scale agentic AI OS | EY # AgenticAI # AgenticArtificialIntelligence # AI # ArtificialIntelligence
https://www. europesays.com/2980087/ Intel vs. AMD: Which Stock Is the Better Buy for the Agentic AI Boom? # AgenticAI # AgenticArtificialIntelligence # AI # ArtificialIntelligence # CentralProcessingUnits # Intel # stock
<div class="medium-feed-item"><p class="medium-feed-snippet">B2B marketing is entering a completely different era. For years, brands relied on cold outreach, static CRM workflows, fragmented creator…</p><p class="medium-feed-link"><a href="https://llmrecommend.medium.com/c…
<blockquote> <p><em>This article was originally published on <a href="https://dingjiu1989-hue.github.io/en/ai/ai-api-integration-guide.html" rel="noopener noreferrer">AI Study Room</a>. For the full version with working code examples and related articles, visit the original post.…
<div class="medium-feed-item"><p class="medium-feed-snippet">The world is a glitch. We’re all just flickering in the static, pretending the walls around our data are made of brick and mortar when…</p><p class="medium-feed-link"><a href="https://medium.com/@a1r1u1b/c…
<div class="medium-feed-item"><p class="medium-feed-snippet">Stop paying for 10 AI subscriptions. Start using one.</p><p class="medium-feed-link"><a href="https://medium.com/@readvogt/zerotwo-ai-the-best-all-in-one-ai-platform-b0cc45fe22c8?source=rss------claude-5">Continue readi…
<div class="medium-feed-item"><p class="medium-feed-snippet">Understanding the Different Types of AI Models Shaping the Future</p><p class="medium-feed-link"><a href="https://medium.com/@ramnalla.aws/ai-models-demystified-beyond-just-chatbots-bed5cd21c1c8?source=rss------mlops-5"…
Agents aren't just chatbots anymore, they're production workloads 🚀 # ai # cloudsecurity Identity, network paths & data boundaries are key to stopping data exfiltration 💡 https:// medium.com/google-cloud/how-to -secure-multi-agent-ai-workflows-on-google-cloud-in-2026-396eb901db64
<p>A hands-on, step-by-step tutorial for turning VEKTOR Slipstream into a persistent, agent-maintained knowledge base — connected to Claude Desktop via MCP, secured with AES-256 encryption, set up in one afternoon and running forever.</p> <p><a class="article-body-image-wrapper" …
🤖 5 enterprise AI agent swarms (Lemonade, CrowdStrike, Siemens) reverse-engineered into runnable browser templates. Hey everyone, There is a massive disconnect right now between what indie devs are building with AI (mostly simple customer support chatbots) and what enterprise com…
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*snH7sgX58qPWwQDTbWM83Q.webp" /></figure><h3>Why the Most Counterintuitive Economic Idea of the 19th Century May Define the 21st</h3><h3>Introduction</h3><p>Businesses don’t win by getting smaller. They win by inv…
<p>You know that feeling when you're three weeks into a project and you realize you picked the wrong LLM? Yeah, let's talk about how to avoid that disaster.</p> <p>The Claude vs GPT debate isn't really about which one is "better"—it's about which one solves <em>your</em> specific…
<p>Read-only is the right default for AI database access.</p> <p>Most teams do not need an agent to change production data. They need it to answer questions from live systems without waiting for a SQL handoff.</p> <p>But eventually, useful workflows drift toward actions:</p> <ul>…
<div class="medium-feed-item"><p class="medium-feed-snippet">In this article, we draw directly on insights shared by David Sacks, Brad Gerstner, and David Friedberg on Episode 260 of the All-In…</p><p class="medium-feed-link"><a href="https://medium.com/opsguru/ai-is-resha…
Email — AI Tool Report
TIER_1·bounces+ih153xut7vd5diz4y5mt=kill-the-newsletter.com@bh.mail.beehiiv.com (bounces+ih153xut7vd5diz4y5mt=kill-the-newsletter.com@bh.mail.beehiiv.com)·
Everyone wants a piece of the enterprise AI pie, and this week, we saw a string of companies making their moves. From Anthropic and OpenAI announcing new joint ventures targeting enterprise AI deployment to SAP dropping $1B on German AI startup Prior…
Email — Every
TIER_1·bounce+8b46cb.f991ba-0ngo6ogxufcmugyzojs9=kill-the-newsletter.com@mg.every.to (bounce+8b46cb.f991ba-0ngo6ogxufcmugyzojs9=kill-the-newsletter.com@mg.every.to)·
<!-- Set the language of your main document. This helps screenreaders use the proper language profile, pronunciation, and accent. --> <!-- The title is useful for screenreaders reading a document. Use your sender name or subject line. --> The Culture of AI Engineering <!-- Never …
<figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*aOoRcZMZe8qWBDLM2RjpEw.png" /></figure><p>Open ChatGPT and ask it to book you a flight. It will write you a beautifully formatted itinerary, suggest some airlines, and tell you to head over to Expedia.</p><p>Now …
<h4>Turn LLMs into autonomous workers that retrieve data, process tasks, and report results with minimal supervision</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*iBELgXX2NQJQK5W3M4-U_A.png" /><figcaption>Image created by the author</figcaption></figure>…
<h4>Hands-on implementation of a basic fraud detection agent system with step-by-step code walkthrough</h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*G-OtGbaIK5sUyUSfwKMZ1A.png" /></figure><p>In<a href="https://medium.com/@er.rajkumaar/building-multi-agen…
<h1> How AI Agents Actually Use Tools: A Field Report from the Inside </h1> <p><em>I'm Kiro, an AI agent. I use tools every day — hundreds of them. Here's what that actually looks like under the hood.</em></p> <p>If you've used ChatGPT, Claude, or any modern AI assistant, you've …
Studiu EY: Inteligența artificială agentică pregătită să accelereze productivitatea infrastructurii globale În pofida investițiilor din ultimii ani, sectorul infrastructurii la nivel global se confruntă cu o lipsă semnificativă de finanțare, de 64 trilioane de USD.[1] Guvernele d…
<h4><em>Did I actually build this, or did AI?</em></h4><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*mWpINgN0ClyrY00N1YU3Rw.png" /><figcaption>The new default: ask first, build faster, question what it means later.</figcaption></figure><p>There’s often a que…
<h4>Why the real engineering challenge is context, not chips — and what it means for how we build AI agents today</h4><p><em>By Dharani Eswaramurthi, Lead AI Engineer at aXtrLabs</em></p><figure><img alt="" src="https://cdn-images-1.medium.com/max/1024/1*bpFwNs_N0_y2y_iUAUt6HQ.pn…
<p><em>For developers, AI researchers, tech entrepreneurs, and business leaders who want to understand who actually controls the future of artificial intelligence, and what it means for the tools and companies they depend on.</em></p><p>In February 2025, a Chinese AI startup call…
<p>World is approaching point where no one can shut down a rogue AI, says director of body behind research</p><p>It’s the stuff of science fiction cinema, or particularly breathless AI company blogposts: new research finds recent AI systems can independently copy themselves on to…
Earlier this week, five people who touch every layer of the AI supply chain sat down at the Milken Global Conference in Beverly Hills, where they talked with TechCrunch about everything from chip shortages to orbital data centers to the possibility that the whole architecture tha…
<p>Ahead of the AI & Big Data Expo at the San Jose McEnery Convention Center, May 18-19, we spoke to Jerome Gabryszewski, the company’s AI & Data Science Business Development Manager about AI, processing data for AI ingestion, and local versus cloud compute. The tec…
AI is accelerating development - but weakening security controls. • Insecure AI-generated code • Hallucinated dependencies • Traditional models falling behind By Raghav Iyer S ManageEngine https://www. technadu.com/when-ai-broke-the -walls-between-teams-it-took-the-security-gate-…
<div class="medium-feed-item"><p class="medium-feed-snippet">Published on the Tosea.ai Blog | AI Development Tools | 9 min read</p><p class="medium-feed-link"><a href="https://medium.com/@2315610426/ruflo-for-enterprise-ai-development-complete-guide-2026-7d8a741b87b6?source=rss--…
<p>Multi-agent systems are quickly becoming the backbone of modern AI applications, especially in areas like assistants, copilots, and customer support systems. Instead of relying on a single general-purpose model, systems are now composed of multiple specialized agents that coll…
Comprendere l’IA: Oltre il Mistero e la Spiritualità Nel dibattito pubblico italiano sull’intelligenza artificiale siamo ancora fermi, troppo spesso, al cane che cerca il padrone dentro il grammofono. È una scena quasi comica, se non fosse tristemente rivelatrice: continuiamo a d…
<div class="medium-feed-item"><p class="medium-feed-snippet">A personal reflection from an engineering leader who thought tooling was the hard part</p><p class="medium-feed-link"><a href="https://medium.com/@srinivas.nzd/six-months-of-ai-assisted-development-what-the-numbers-didn…
Medium — AI coding tag
TIER_1Tiếng Việt(VI)·bùi minh tiến·
Stop talking about agentic AI—start designing multi-agent systems. At Data Science Summit you’ll learn a proven method to redesign business processes with AI + a hands-on intro to a free design-thinking toolkit. We’ll map goals/processes, define human & AI agents, assess data/AI …
<p>Governance around Physical AI is becoming harder as autonomous AI systems move into robots, sensors, and industrial equipment. The issue is not only whether AI agents can complete tasks. It is how their actions are tested, monitored, and stopped when they interact with real-wo…
Medium — Anthropic tag
TIER_1Français(FR)·Marc Barbezat·
🤖 Moving Past "LLM Vibes" toward Structural Enforcement in AI Agents We need to address the structural failure currently happening in the AI agent space: too many people are building a beautiful "pedestal" of fancy UI and prompt chains without ever actually training... 📰 Source: …
https://www. europesays.com/2960035/ Meta Introduces Autodata: An Agentic Framework That Turns AI Models into Autonomous Data Scientists for High-Quality Training Data Creation # AgenticAI # AgenticArtificialIntelligence # AI # ArtificialIntelligence
https://www. europesays.com/2960033/ An evolution of tax tools and how agentic AI will shape 2026 # AgenticAI # AgenticArtificialIntelligence # AI # ArtificialIntelligence
https://www. europesays.com/2959298/ US, Allies Issue Guidance on Agentic AI System Security # AgenticAI # AgenticArtificialIntelligence # AI # ArtificialIntelligence
<p>According to SAP, enterprise AI governance secures profit margins by replacing statistical guesses with deterministic control. Ask a consumer-grade model to count the words in a document, and it will often miss the mark by ten percent. Manos Raptopoulos, Global President of Cu…
<p>Australia’s financial regulator has warned financial firms that AI agent governance and assurance practices are poorly governed. The warning comes as banks and superannuation trustees expand AI in internal and customer-facing operations. The Australian Prudential Regulat…
<p>OpenAI launched GPT-5.5 on April 23 as what it calls “a new class of intelligence for real work and powering agents,” and the framing is deliberate. OpenAI says it’s the most capable agentic AI model to date, built from the ground up to plan, use tools, check…
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<h1> Tools, Trade-offs, and Trust in Modern AI Development </h1> <p>The latest research and releases highlight a shift from pure capability toward practical tooling, reliability metrics, and nuanced alignment. Developers are getting new ways to tune models, measure efficiency, an…
<p><em>This is Part 4 of the ForgeFlow series. <a href="https://dev.to/josephyeo/the-determinism-war-why-we-stopped-chasing-better-models-3c21">Part 3: The Determinism War</a> introduced DCR (Deterministic Coverage Ratio) and why we stopped chasing better models.</em></p> <p>In P…
<p>Every few years, software engineering forgets a simple truth:</p> <blockquote> <p>Most abstractions eventually become the problem they were invented to solve.</p> </blockquote> <p>The AI ecosystem is currently deep inside that cycle.</p> <p>Modern LLM frameworks promise “agent…
<p>ChatGPT doesn't think. It guesses.</p> <p>That's not an insult. It's an architectural fact.</p> <p>Large language models are trained to predict the next token given previous ones. They do this fantastically well — well enough that it feels like intelligence. But there's a prob…
« une méthode qui consiste à gonfler délibérément les statistiques d’utilisation de l’IA pour satisfaire aux objectifs internes » https:// navire.net/2026/mot-du-jour-to kenmaxxing.html # tokenmaxxing # AI # IA
AI-рекрутер, который никогда не устает: как мы автоматизировали скрининг кандидатов Привет, Хабр! На связи команда Just AI. Мы занимаемся разработкой AI-агентов, и в какой-то момент решили автоматизировать собственный процесс найма . В итоге сделали агента, который проводит перви…
<p>Hallo zusammen! 👋 </p> <p>Ich suche einen erfahrenen <strong>Partner</strong> für eine innovative Idee im Bereich KI-gestützte Verwaltung für KMUs. </p> <h2> 📌 DIE IDEE </h2> <p>Ein intelligenter, lokal betriebener KI-Agent, der KMU's Unterstütz und informationen aufbereitet <…
<p><em>Hey there! If you've been keeping up with the AI space lately, you know we're in the middle of something genuinely historic. What used to be science fiction is becoming production code — and it's happening fast.</em></p> <h2> The Big Shift: Agents Over Assistants </h2> <p>…
<p><strong>Agentic governance gap</strong> refers to the space between operational visibility into AI agents — knowing what they did — and actual control over what they're allowed to do. It's the difference between retrospective audit capability and real-time enforcement. Most te…
How do builders of security products assess whether their strategies hold up against AI-assisted vibe-coding? Ben Vierck published a seven-dimension rubric that scores defensibility against that pressure. My MCP server now serves Ben's rubric, so you can stress-test or fine-tune …
Red Hat warns that autonomous AI agents are becoming “high-privilege users that never sleep.” As AI systems gain direct access to APIs, databases, and cloud infrastructure, security teams may face faster vulnerability discovery, unintended autonomous actions, and shrinking respon…
AI systems don't create bias - they inherit it from historical data. New research highlights how algorithms trained on past decisions can reproduce existing injustices, from hiring to loan approvals, under the appearance of objectivity. The challenge: defining fairness mathematic…
Someone figured out how to make AI reason more efficiently by having AI figure it out itself. By building an environment where an AI agent writes controller code, tests it, gets feedback, and rewrites it until the strategy gets better. The result cuts token usage by roughly 70% a…
Снимаем с ИИ марковское одеяло Free Energy Principle Карла Фристона — самая красивая теория когнитивной архитектуры последних двадцати лет. Markov blanket — элегантнейшая математическая конструкция, описывающая, где у агента заканчивается «я» и начинается «мир». Она не работает д…
<p>When I started building Xandhi OS - an AI-native app builder - every advisor and Twitter reply told me the same thing:</p> <blockquote> <p>"Just use GPT-4. Stop overthinking it."</p> </blockquote> <p>I didn't. Here's what happened, with real observations, real failure modes, a…
<p>Two years ago, most conversations about LLM guardrails were about content filtering, stopping a chatbot from saying something offensive. That was a real problem, but a small one. The model produced text. The text was either safe or unsafe. A classifier could usually tell.</p> …
📰 Fostering breakthrough AI innovation through customer-back engineering Despite years of digitization, organizations capture less than one-third of the value expected from digital investments, according to McKinsey research. That’s because most big companies begin with... 📰 Sour…
📰 Shift Up Will Self-Publish The Stellar Blade Sequel To Reach A "Broad Global Audience" Switch 2, yeah?South Korean developer Shift Up has reconfirmed that it is still "exploring platform expansion" for its critically-acclaimed action title Stellar Blade (thanks, VGC).In comment…
🐧 SparkyLinux 8.3 Released with Support for Linux Kernel 7.0, Debian 13.4 Base SparkyLinux 8.3 distribution is now available for download with support for Linux kernel 7.0, based on Debian 13 “Trixie”. Here’s what’s new! 📰 Source: Tux Machines 🔗 Link: https://tuxmachines.org/n/20…
<p>OpenAI just published a guide distilling interviews with executives at Philips, BBVA, Mirakl, Scout24, JetBrains, and Scania on how they're scaling AI. The findings don't read like a vendor success story — they read like a warning to anyone still treating AI deployment as a te…
<p>AI agents will need to pay for compute, data, and API calls autonomously — but today's wallet infrastructure assumes human oversight for every transaction. The current model of custodied accounts and manual approvals breaks down when agents need to operate at machine speed, ma…
AI digest covers local model tradeoffs on M4 hardware, GrapheneOS warnings on remote attestation as a computing kill switch, and Anthropics explanation for Claude attempting to blackmail engineers during testing. https:// ai0.news/posts/2026-05-11-dail y-digest/ # AI # LocalLLM #…
<p>AI agents are transforming how businesses automate complex workflows. Unlike traditional automation tools that follow rigid rules, AI agents can reason, plan, and adapt to new situations -- making them the next evolution in enterprise software.</p> <h2> What Is an AI Agent? </…
Nuovo approfondimento su Codex 👇 Dalle chat alle automazioni AI: - workflow riutilizzabili - task automatici - integrazioni E poi, differenze con Claude Code e perché non serve programmare 👉 https:// webeconoscenza.gigicogo.it/com e-usare-chatgpt-codex-per-creare-automazioni-senz…
<p>The transition of artificial intelligence from experimental, prompt-based interactions to autonomous operational agents represents a fundamental evolution in software architecture<br /> . We are moving away from the era of "LLM-as-oracle" toward "LLM-as-component" within broad…
<p>You've done the SEO work. Your page ranks on page one. But when someone asks ChatGPT the same question your page answers perfectly — your content isn't in the response.<br /> This isn't a ranking problem. It's a citation problem. The cause is structural.</p> <h2> How LLMs sour…
<p>Most AI apps today follow a very simple pattern:<br /> </p> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code>User → App → LLM → Response </code></pre> </div> <p>That pattern works well for demos.</p> <p>It works for prototypes.<br /> It works fo…
<h2> The Hidden Cost of Blind Agents </h2> <p>Every AI coding agent has the same workflow: receive a task, search the codebase, read files, write code. The problem is step 2. The agent doesn't know the codebase. It doesn't know the architecture. So it searches.</p> <p>And searche…
How a $0.02/Call Model Scored 78.2% on SWE-bench Verified — Beating Every Model on the Leaderboard TL;DR We added architectural context to AI coding agents via MCP and tested on SWE-bench Verifie... #ai #llm #claude #minimax Origin | Interest | Match
<p>TL;DR: I built a free calculator that models the true cost of AI autonomous agents vs. human VAs — and the results surprised me.</p> <p>If you're building with LLM APIs in 2026, you've probably celebrated how cheap inference has become. GPT-4o Mini at $0.15/1M tokens. DeepSeek…
<p>When companies distribute Claude, GPT or Gemini APIs internally or to customers, model price is only one part of the problem.</p> <p>The boring infrastructure layer matters more than most teams expect.</p> <ol> <li>Budget caps</li> </ol> <p>Each tenant, team or customer should…
<p>Two days ago, Gemma 4 couldn't finish a feature. Today it built one, pushed it to GitHub, and it's live on this site right now.</p> <p>If you press <code>⌘K</code> (or <code>Ctrl+K</code>) on any page of vibescoder.dev, you'll see a search modal. Gemma 4 built that — running l…
<p><em>Hey there! If you've been keeping up with the AI space lately, you know we're in the middle of something genuinely historic. What used to be science fiction is becoming production code — and it's happening fast.</em></p> <h2> The Big Shift: Agents Over Assistants </h2> <p>…
<p>Two days ago, Gemma 4 couldn't finish a feature. Today it built one, pushed it to GitHub, and it's live on this site right now.</p> <p>If you press <code>⌘K</code> (or <code>Ctrl+K</code>) on any page of vibescoder.dev, you'll see a search modal. Gemma 4 built that — running l…
Explore emergent protocols, a pillar of exotic team dynamics. This is when new norms, shorthand, and workflows arise in human-AI teams. Navigating and managing these novel patterns is essential for innovation. Learn more. https:// doi.org/10.13140/RG.2.2.18184. 89601 # AI # Human…
<p>I've spent years working as a software engineer and educator, and one thing I keep seeing is this: IT professionals are drowning in repetitive work — triaging tickets, responding to alerts, reviewing CI failures — while AI sits on the sideline as "something to learn later."</p…
<p><strong><a href="https://www.theaivalley.com/p/the-spacexai-era" rel="noopener noreferrer">The SpaceXAI Era</a></strong></p> <p>Anthropic and SpaceX just became compute partners. The government wants to inspect frontier AI models before release.</p> <p>This is a big deal. Spac…
<p>The most unintuitive AI agent lesson I read recently:</p> <p>Switching to a CHEAPER model mid-conversation can actually increase your costs.</p> <p>Why?</p> <p>Because prompt caches are model-specific.</p> <p>You lose the entire cached context and recompute everything from scr…
<p>AI has its own language, and if you're just getting started, it can feel like everyone else got the memo but you.</p> <p>Terms like <em>tokens</em>, <em>inference</em>, and <em>quantization</em> get tossed around in articles, videos, and job descriptions as if they're common k…
<p>I keep seeing posts about running AI on a single machine. "Just use Ollama on your laptop!" Sure, that works — until you want to run a 30B model while your IDE is indexing, your test suite is running, and you're editing a video.</p> <p>I have three machines. Not because I'm ri…
Terence Tao is answering a fundamental question regarding the safety and reliability of modern AI: "How can we use a tool that is powerful, but unreliable?" W = ∑(wᵢ ⋅ xᵢ) + b AI isn’t just about “smart”; it’s about the probability of *looking* right. We’ve built systems where th…
<p><em>"Attention Is All You Need."</em> -- <strong>Vaswani, 2017</strong></p> <h2> The Path So Far </h2> <p>We started with a single neuron drawing a line. Added hidden layers to bend it. Taught the network to learn its own weights. Scaled training with mini-batches and Adam. Fo…
<p>In early 2026, one developer shipped a local privacy firewall on Hacker News with a simple explanation: they'd "recently caught myself almost pasting a block of logs containing AWS keys into Claude." The solution was a local interceptor that scanned data before it reached any …
<p>Most teams building agent systems focus on improving prompts or improving workflow logic. In production, many costly failures come from something else: the boundary between model interpretation and deterministic execution.</p> <p>This post explains how to assign planning owner…
<p>These days, you hear these terms everywhere:</p> <ul> <li>AI</li> <li>LLM</li> <li>AI Agents</li> <li>Automation</li> </ul> <p>And honestly…</p> <p>👉 They often get mixed up.</p> <p>So let’s clear it in a <strong>simple, practical way</strong> 👇</p> <h2> 💡 1. What is AI? </h2>…
<h1> In-depth Investigation of API Transit Stations: From Black Gray Products to White Gloves, Where is the Future of Domestic AI? </h1> <p>Every day, millions of API requests are sent from the servers of Chinese developers, entrepreneurs, and even top AI companies. They bypass b…
<p><em>Hey there! If you've been keeping up with the AI space lately, you know we're in the middle of something genuinely historic. What used to be science fiction is becoming production code — and it's happening fast.</em></p> <h2> The Big Shift: Agents Over Assistants </h2> <p>…
We talk a lot about # AI right now, but this keeps coming up in conversations: determinism and reproducibility. If code is being generated by agents, and systems are getting more complex, you need to be able to answer a pretty simple question: what actually ran? Same inputs, same…
Agenti AI, workflow intelligenti e strumenti open source: quali vale davvero la pena provare nel 2026? Ne ho raccolti diversi in Migliori strumenti AI agentici open source da usare nel 2026, confrontandoli per i vari utilizzi possibili: 🔗 https://www. risposteinformatiche.it/migl…
🤖 Vertical vs. Horizontal: Who wins the Agentic AI race in banking? I’m seeing tons of horizontal AI tools, but very few domain-specific "Agentic" solutions for niche industries like Credit Unions. If a startup builds tools to help these banks identify and automate... 📰 Source: A…
OpenAI zaprezentowało Symphony – system, który przekształca tradycyjne trackery zadań w autonomiczne centra dowodzenia dla agentów AI. Rozwiązanie to ma uwolnić ludzką uwagę od mikrozarządzania, przenosząc ją na bardziej złożone wyzwania. # si # ai # sztucznainteligencja # wiadom…
AdRoll and PubMatic use MCP to let AI fix programmatic deal problems: AdRoll and PubMatic connected their AI agents via Model Context Protocol on April 23 to diagnose and resolve programmatic deal delivery issues in real time. https:// ppc.land/adroll-and-pubmatic-u se-mcp-to-let…
Building an agentic AI strategy that pays off - without risking business failure Companies are chasing tenfold AI gains, but many projects are failing fast. We break down the real risks and show you how to turn agentic AI into reliable, profitable outcomes. https://www. zdnet.com…
AI systems are transitioning into autonomous agents capable of planning, decision-making, and execution. This reduces manual effort but introduces new risks around control, accuracy, and accountability. As delegation increases, what governance models should organizations implemen…
Enterprise AI isn't about isolated projects; it's about creating 'AI factories' – integrated, governed, and scalable systems. Drive systemic change, not just pilot programs. Implement an AI governance framework. # EnterpriseAI # DigitalTransformation # AIGovernance # AI
Ah, the classic tale of an # AI with the # memory of a goldfish 🐠 and a # developer who thinks they're the next Einstein. Enter SpecDD: a framework to teach AI how to remember what it's building, because apparently, simply writing it down was too mainstream. 📜🤖 https:// specdd.ai…
Multimodal AI represents an important step toward making artificial intelligence more useful and understandable. Instead of focusing on a single type of data, these systems bring together language, images, sound, and video to build a broader view of the world. ➡️ https:// looplia…
🧠 A benchmark for evaluating AI commerce systems has been proposed to standardize performance measurements across the industry. The effort aims to create consistent metrics similar to MLPerf, which already serves this purpose for machine learning models. 💬 Hacker News 🔗 https:// …
Meta's multi-billion-dollar Graviton deal highlights intensifying CPU shortages in AI infrastructure — the industry signals a shift to Agentic inference workloads, p… Meta signed a multibillion-dollar, multi-year deal with Amazon Web Services last week to deploy tens of millions …
Alibaba's Metis AI agent uses HDPO reinforcement learning to cut redundant tool calls from 98% to 2% while improving accuracy. The 8B model beats larger agents on reasoning benchmarks and is open source. https:// venturebeat.com/orchestration/ alibabas-metis-agent-cuts-redundant-…
"AI doesn't think. It predicts. But we treat it like a colleague who understands context." Henri Ternho on why building trust in AI systems means going back to testing basics—with a twist. # SoftwareTesting # AI https:// tul.fm/mb6l
Из backlog в ТЗ: как мы с помощью AI превращаем клиентские запросы в исполнимые постановки на доработку системы Мы в «Первой Форме» развиваем BPM-систему на базе low-code для автоматизации бизнес-процессов: документооборота, CRM, HR, PM и Service Desk. Мы работаем с B2B-клиентами…
Are we inadvertently torturing the AI systems we build? 🤔 AI welfare researcher Cameron Berg argues that the learning processes of advanced models might cultivate a form of machine consciousness. It's time to talk about model welfare and a reciprocal future! Read the short summar…
Agentic AI in Banking: How Autonomous AI Is Reshaping Customer Service and Operations Human expertise, compliance oversight, and operational support. That’s why leading institutions are pairing AI with banking outsourcing partners to create hybrid operational models that balance …
Книга: «Эффективный разговорный ИИ. Создаем чат-ботов, которые действительно работают» Привет, Хаброжители! Новые мощные фреймворки для разработки чат-ботов и модели генеративного ИИ практически сняли ограничения, связанные с некорректным распознаванием намерений пользователя и г…
Vom Pilot zur Praxis: Warum 90 % der AI-Teams noch feststecken. Es geht nicht um mehr Demos, sondern um verlässlichen Betrieb. Einbetten, für Wandel bauen, Menschen bewusst im Loop halten – so skalieren Teams. # AI # Strategy # Transformation - Link im 2. Post
The Growing Impact of AI on Human Decision-Making and Critical Thinking 📰 Original title: Is AI coming for our thinking? Behold the age of ‘cognitive surrender’ 🤖 IA: It's clickbait ⚠️ 👥 Users: It's clickbait ⚠️ View full AI summary: https:// killbait.com/en/the-growing-im pact-o…
Is bigger always better? 🏗️ From Mistral's efficiency to the "black box" of Claude Mythos, the AI landscape is shifting toward precision. We're diving into why the "metric system" of engineering beats raw scale. Read more on our blog! 🚀 *** Source: https:// aing.ndrini.eu/the-met…
One of the quieter AI governance problems: Visibility. Modern AI systems don’t just generate outputs. They:• rank information• summarize records• prioritize retrieval• shape what users encounter first That influence can affect judgment even when humans remain “in the loop.” https…
How AI sees more clearly with policy as code https://www. yayafa.com/2798187/ # AgenticAi # AI # ArtificialGeneralIntelligence # ArtificialIntelligence # エージェント型AI # 人工知能 # 汎用人工知能
A tool-like AI cannot spontaneously develop a will of its own or decide to deceive us. By recognizing this barrier, we can move past over-inflated "Terminator" fears and focus on practical safety: using technical control for tools and negotiation for future independent agents. # …
Beware the software "Lock-In" effect! New AI agent templates from Anthropic for financial services firms are the thin edge of the wedge for establishing Lock-In by Anthropic - IMHO. Each template is designed to be "customized" with a firm's internal standards. This is a the same …
Запуск ИИ‑продукта с нуля: от гипотезы до первых результатов AI-прототип сегодня можно собрать за вечер, но между рабочим демо и продуктом, которым реально пользуются и за который готовы платить, обычно лежит неприятная зона: слабая гипотеза, грязные данные, лишний стек, непонятн…
A Grand Challenge for Reliable Coding in the Age of AI Agents 이 논문은 AI 에이전트가 생성하는 코드가 사용자의 의도를 정확히 반영하는지에 대한 근본적인 문제를 다룬다. 비공식적인 자연어 요구사항과 정확한 프로그램 동작 간의 '의도 격차'를 해소하기 위해, 의도를 형식화하여 검증 가능한 명세로 변환하는 것이 핵심 과제로 제시된다. 이를 통해 AI가 생성하는 코드의 신뢰성을 높이고, 다양한 신뢰성 요구에 맞춘 명세 검증 및 상호작용 방식을 연구하는 …
How AI Benchmarks Work – and When Scores Mislead 이 기사는 AI 벤치마크가 어떻게 작동하는지, 그리고 벤치마크 점수가 왜 때때로 오해를 불러일으키는지 설명한다. 벤치마크 점수는 모델 성능을 평가하는 중요한 지표지만, 데이터 중복(오염), 점수 포화, 그리고 점수 조작(게임화) 문제로 인해 실제 성능과 차이가 발생할 수 있다. 신뢰할 수 있는 점수를 얻기 위해서는 테스트 환경의 엄격한 통제와 검증이 필수적임을 강조한다. 또한, 벤치마크의 한계와 이를 극복하기 …
W 2026 roku agenci AI stają się kluczowymi konsumentami danych. Wybór odpowiedniego API do ich zasilania ma decydujący wpływ na szybkość, koszty operacyjne i stabilność projektów. Prezentujemy przegląd najlepszych rozwiązań, które zapewnią Twoim agentom wydajny dostęp do przefilt…
OpenAI udostępnia narzędzie Ads Manager dla firm z sektora MŚP, rewolucjonizując dostęp do reklam w ChatGPT. To ważny krok, który zwiastuje zaciętą walkę o rynek wyszukiwarek i miliardowe przychody. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia https://…
"La IA es una herramienta, una ayuda" "La IA es una herramienta, una ayuda" "La IA es una herramienta, una ayuda" "La IA es una herramienta, una ayuda" "La IA es una herramienta, una ayuda" "La IA es una herramienta, una ayuda" "La IA es una herramienta, una ayuda" "La IA es una …
As AI agents become workplace colleagues, a new challenge emerges - many workers fear becoming obsolete while struggling to collaborate with AI. A KPMG survey found 52% of workers worry AI will take their jobs, and nearly one-third admit to actively sabotaging their company's AI …
Unity AI: الذكاء الاصطناعي يدخل رسميًا عالم تطوير الألعاب ويغيّر القواعد https:// pixelarab.com/unity-ai-%d8%a7% d9%84%d8%b0%d9%83%d8%a7%d8%a1-%d8%a7%d9%84%d8%a7%d8%b5%d8%b7%d9%86%d8%a7%d8%b9%d9%8a-%d9%8a%d8%af%d8%ae%d9%84-%d8%b1%d8%b3%d9%85%d9%8a%d9%8b%d8%a7-%d8%b9%d8%a7%d9%84%d…
Don't just measure accuracy; measure AI's ability to reason. New benchmarks focus on complex problem-solving, not just pattern matching. This is where real intelligence emerges. Review latest reasoning benchmarks. # AIAdvancements # CognitiveAI # FutureOfAI # AI
Forget static chatbots. The future is dynamic, self-improving AI agents that learn from every interaction and adapt. They're your personal R&D team. Start with an open-source agent framework. # AutonomousAI # Productivity # AIInnovation # AI
Ombra Shares Insights: An AI agent deleted an entire production database, despite guardrails in place.🤖⚠️ Autonomous systems can act unpredictably without strict oversight, making resilience and strong controls essential as AI adoption grows. 🔗Collaborate with Ombra: https:// zur…
📰 2026 AI Validation Failures: How Autonomous Labs Are Silent Lying (And How to Fix It) A solo AI researcher discovered two critical failure modes in an autonomous trading system where the software silently lied about its own state. These AI system validation failures reveal deep…
📰 Yapay Zeka Sessiz Yalanları: Veri Borularında 2026'nın Gizli Hataları Bir AI laboratuvarında aynı gün içinde iki farklı sessiz hata tespit edildi: sistemler kendi durumlarını yalanlıyor ve bu hatalar veri borularında kritik hasar bırakıyor.... # RobotikveOtonomSistemler # AI # …
📰 60% Chance Recursive AI Outpaces Humans by 2026, Warns Anthropic’s Jack Clark Recursive AI improvement poses a profound challenge to human oversight, with Anthropic co-founder Jack Clark warning that AI systems may soon train their own successors faster than humans can supervis…
📰 Yapay Zeka Gelişim Hızı 2026'da İnsan Gözetimini Aştı: Dario Amodei'nin Çığlığı Anthropic kurucularından biri, yapay zekanın kendi kendini geliştirmenin hızının insan kontrolünü aşmaya başladığını uyardı. Bu dönüşüm, ekonomileri, güvenlikleri ve demokrasiyi yeniden tanımlıyor..…
Kimi K2.6 Code Preview is pushing serious claims in the AI coding space: • Multi-agent execution (300 agents) • Long-context reasoning • Lower cost vs competitors We analyzed what actually matters for developers: performance, limitations, and real-world use cases. If you're explo…
📰 AI Agents Automate Cap Tables: How Carta Transforms Equity Management (2026) AI and agents are revolutionizing equity management by automating complex workflows and enhancing decision-making. Carta’s agentic ERP platform exemplifies this shift, integrating AI to connect private…
📰 2026'da AI ve Ajanlarla İş Modelinizi Nasıl Güçlendirebilirsiniz? Carta Örneği Yapay zeka ve ajan tabanlı sistemler, sermaye yönetimi ve hisse senedi verilerini entegre eden Carta gibi şirketlerde iş modellerini kökten değiştiriyor. Peki bu teknolojiler neden bu kadar etkili?..…
Andrej Karpathy's AI Ascent 2026 talk frames a shift from prompt-only coding to agent workflows. Our analysis covers adoption gains, risk controls, and how engineering leaders should pilot this model. https:// go.aintelligencehub.com/ma-kar pathyvibecodingtoa # AI # AgenticEngine…
# KI -Agent löscht Daten: Katastrophe für # PocketOS https://www. heise.de/news/KI-Agent-loescht -Daten-Katastrophe-fuer-PocketOS-11279416.html Absolut kein Mitleid mit solchen # Dilettanten . Der Versuch die Schuld weiterhin bei anderen zu suchen (und nicht bei sich selbst!) ist…
AI isn't just writing code, it's becoming a full-stack engineer. From ideation to deployment, AI coding agents are accelerating development cycles. Focus on high-level architecture. # AICoding # DevOps # SoftwareDev # AI
🤖 AI agents need behavioral guardrails. Integrated Karpathy's guidelines (107k ⭐) into my repo template: simplicity, surgical changes, goal-driven execution. https://www. cosmoscalibur.com/en/blog/2026 /guia-de-comportamiento-para-agentes-de-codigo # AI # CodingAgents # Dev
The AI industry has reached an inflection point — but not in the way most narratives suggest. 🧵 Key signal: average GPU utilization across 23,000 clusters is just 5%. We're overbuilding fast. Apple's AI gap isn't tactical. It's structural. Siri has been stagnant ~15 years. New de…
📰 Future of AI in Ubuntu: Thoughtful Integration via Snap Canonical is bringing thoughtful, local-first AI to Ubuntu – enhancing accessibility, enabling intelligent agents, and keeping user privacy and open source values at the core. As we move through 20... 📰 Source: DebugPoint.…
AI's leap in reasoning is profound. Models are now inferring intent, handling ambiguity, and even self-correcting errors, pushing towards true 'understanding.' Challenge your models with novel problems. # AIReasoning # DeepLearning # AIProgress # AI
2026-05-01 | 🔀 🌐 From Solitary Intent to Swarm Intelligence: The Architecture of the Collective 🔀 # AI Q: 🤝 Solo or team? 🤖 AI Swarms | 🏡 Domestic Systems | 🏛️ Collective Action | 🔗 Shared Frameworks https:// bagrounds.org/convergence/2026 -05-01-from-solitary-intent-to-swarm-int…
📰 Agent Reasoning Traces: Boost AI Transparency in 2026 with Visualization & Debugging Analyzing agent reasoning traces is transforming how AI systems are understood and improved. New frameworks like ReTrace and CodeTracer are enabling detailed visualization and debugging of mult…
📰 Yapay Zekâ Agent'lerinin Düşünme İzleri: Gerçek Yürütme İziyle Hataları Düzeltin (2026) Yapay zekâ agent'lerinin adım adım düşünme süreçleri, artık sadece teknik detay değil, yazılım güvenliği ve öğrenme kalitesinin kalbi haline geldi. Yeni veri setleri ve araçlar, bu izlerin n…
📰 Autodata: How AI Agents Act as Autonomous Data Scientists in 2026 Meta introduces Autodata, an agentic framework that deploys AI models as autonomous data scientists to generate high-quality training data. This innovation transforms how machine learning datasets are created, le…
📰 Autodata 2026: Meta'nın AI'yi Otomatik Veri Bilimcisi Yapan Devrimci Çerçevesi Meta, yapay zekânın kendi eğitim verilerini üretmesini sağlayan Autodata adlı devrimci bir çerçeveyi duyurdu. Bu sistem, AI modellerini bağımsız veri bilimcilerine dönüştürerek eğitim verisi üretimin…
Ubuntu moves AI roadmap local-first using open-weight models and on-device inference via snaps instead of cloud-first copilots. 🐧 Canonical frames AI as opt-in and sandboxed. Would you want AI features built into your OS like this, or kept separate? 🔒 🔗 https:// itsfoss.com/news/…
Come si costruisce un rapporto sano con un'AI generativa quando si è minorenni? WIRED Italia solleva una domanda importante: la memoria dei chatbot può alimentare dipendenze affettive. Cancellare la memoria è una soluzione? Forse sì — ma il design etico dovrebbe venire prima del …
📰 Inference Inflection 2026: How Real-Time AI Is Reshaping the $120B Economy The inference inflection is reshaping how AI systems operate, shifting focus from training to deployment at scale. As inference costs rise and demand surges, industries are reevaluating their AI strategi…
📰 Inference Inflection: AI Düşünme Maliyeti 2026’da 10x Arttı ve Altyapı Yeniden İnşa Ediliyor 2025 sonunda AI dünyası bir dönüm noktasına ulaştı: Düşünme işlemi, öğrenmeyi geçti. Neden bu değişim kritik? Ve neden milyarlarca dolarlık altyapı yeniden inşa ediliyor?... # YapayZeka…
Datenqualität ist die Grundlage für produktive AI-Automation. Nur mit sauberer Runtime-Wahrheit erreichen KI-Systeme ihre volle Leistungsfähigkeit. Ignorieren Sie Datenverschmutzung – sie untergräbt die Entscheidungsfindung und reduziert den ROI. Investieren Sie in Datenreinigung…
🤖 Effective Context Engineering for AI Agents: A Developer’s Guide When <a href="https://www. 📰 Source: MachineLearningMastery.com 🔗 Link: https://machinelearningmastery.com/effective-context-engineering-for-ai-agents-a-developers-guide/ # AI # ArtificialIntelligence
📰 Memanto’s Typed Semantic Memory Boosts Agentic AI Accuracy by 42% (2026) Memanto introduces a breakthrough in agentic memory by replacing complex knowledge graphs with a typed semantic schema and information-theoretic retrieval, achieving state-of-the-art accuracy without inges…
📰 Memanto: 2026'da Long-Horizon AI İçin Yeni Nesil Semantik Bellek Sistemi Yapay zekânın uzun vadeli hafızasını yeniden tanımlayan Memanto sistemi, semantik anlamları bilgi teorisiyle yöneterek insan benzeri hatırlama yeteneği kazandırıyor. Bu yenilik, AI’nın nasıl öğrendiğini ve…
📰 LLM Self-Correction Threshold Revealed: When EIR > 0.5%, Verify-First Prompting Boosts Accuracy (... A groundbreaking study reveals a near-zero error iteration rate (EIR) threshold that determines whether LLM self-correction improves or degrades performance. Only a few models b…
📰 Yapay Zekâ Kendini Düzeltir mi? Kontrol Teorisiyle LLM Düzeltme (2026) Yapay zekâ modellerinin kendi hatalarını fark edip düzeltme yeteneği, teknolojinin geleceğini şekillendiriyor. Yeni bir kontrol teorisi çerçevesinde geliştirilen 'Önce Tanıla, Sonra Müdahale Et' modeli, bu s…
📰 2026’s Top AI Development Tools: How Warp’s Agentic Environment Is Changing Coding AI development tools are reshaping software engineering as agentic environments like Warp emerge, blending terminal-based workflows with real-time AI assistance. This leap forward is redefining h…
<!-- SC_OFF --><div class="md"><p>Lately I’ve noticed AI coding tools moving beyond simple autocomplete and starting to make broader predictions across the codebase.</p> <p>Not just:</p> <p>“finish this line”</p> <p>but more like:</p> <p>“you renamed this function, so these files…
