Brief

Frontier AI models are showing a rapid increase in their ability to handle complex tasks, with their reliability doubling every 4.7 months, a rate that has accelerated since late 2024. Recent models like Claude Mythos Preview and GPT-5.5 are outperforming these trends, though their exact capabilities are still being measured due to near-perfect success rates on current benchmarks. This rapid progress challenges existing testing methodologies, as models are pushing the limits of token capacity and agent scaffolding, making it difficult to accurately assess their performance and potential deterioration at scale. AI

SoftBank Group announced a surprising increase in its quarterly profits, largely attributed to the appreciated valuation of its investment in OpenAI. This financial boost highlights the significant impact of AI company valuations on investment firms' performance. AI

Tim Cook is transitioning from Apple CEO to Executive Chairman, focusing on global diplomacy and policy engagement starting September 1, 2026. In his new role, Cook will leverage Apple's significant global influence to navigate complex geopolitical landscapes, particularly concerning trade relations with China and regulatory challenges in Europe. This strategic shift allows new CEO John Ternus to concentrate on product development, including AI integration and the Vision Pro platform, while Cook addresses international policy matters. AI

The upcoming China AIGC Industry Summit, scheduled for May 20th, will feature over 20 industry leaders discussing AI's practical applications and monetization strategies. Key figures from companies like SenseTime, MiniMax, and JD.com are confirmed to attend. The summit will also unveil the "2026 Annual AIGC Enterprise & Product List" and release the "2026 China AI Application Panorama Report." AI

SoftBank's investment in OpenAI is reportedly boosting its quarterly profits, with analysts estimating its stake to be worth around $80 billion. However, concerns are rising about SoftBank's increasing debt to fund its AI strategy and the concentration of risk in a single company. Despite these worries, SoftBank's stock has seen significant gains, indicating investor confidence for the time being. AI

Cisco reported strong fourth-quarter financial results, exceeding analyst expectations for both earnings and revenue, largely driven by significant demand for AI infrastructure. The company secured $5.3 billion in AI-related orders and raised its full-year AI revenue outlook to $4 billion. Despite these positive financial indicators and a 14% stock surge, Cisco also announced workforce reductions affecting nearly 4,000 employees, which CEO Chuck Robbins stated are necessary to optimize costs in light of AI opportunities. AI

Researchers have developed new strategies for training surrogate models by integrating data from multiple sources, including simulations and real-world measurements. One approach involves training separate models for each data type and then combining their predictions, while another trains a single model incorporating both data types. These hybrid methods aim to improve predictive accuracy and coverage, and to identify potential issues within existing simulation models, ultimately aiding in system understanding and future development. AI

Public health officials are monitoring a hantavirus outbreak that originated on a cruise ship, with no current signs of a widespread pandemic. Despite a high mortality rate for this strain, its spread requires close contact, making a COVID-19-level crisis unlikely. Meanwhile, NVision Quantum Technologies has secured $55 million in new funding to advance its quantum-based metabolic imaging for real-time cancer treatment monitoring, valuing the company at over $250 million. AI

Researchers have developed a new proximal gradient algorithm designed to sample from composite log-concave distributions. This algorithm assumes access to gradient evaluations for one part of the distribution and a restricted Gaussian oracle for the other. The proposed method achieves state-of-the-art iteration counts for sampling, matching previous results for simpler cases and extending to non-log-concave distributions and non-smooth functions. AI

The cost of fiber-optic cable is surging due to a dual demand from ongoing conflicts and the rapid expansion of data centers for AI development. Military use, particularly in Ukraine, has increased significantly, with prices for cable spools rising dramatically. Simultaneously, major tech companies are placing massive orders for data centers, leading to supply shortages and further price hikes, with projections indicating a continued "fiber famine" in the coming years. AI

Researchers have developed a new model-based bootstrap method for controlled Markov chains, particularly useful in offline reinforcement learning scenarios where the data-generating policy is unknown. This technique establishes distributional consistency for transition estimators and extends to policy evaluation and recovery, providing asymptotically valid confidence intervals for value and Q-functions. Experimental results on the RiverSwim problem demonstrate that the proposed confidence intervals offer improved calibration and coverage compared to existing methods, especially with limited data. AI

Microsoft researchers have identified a significant limitation in current AI models and agents: their inability to effectively manage long-running tasks. These systems struggle with tasks that require sustained operation or memory over extended periods. This deficiency impacts their potential for complex, multi-stage operations and highlights an area for future AI development. AI

Chinese courts have ruled that companies cannot terminate employees solely for the purpose of replacing them with artificial intelligence. This decision aims to protect workers from being displaced by automation without due process. The ruling addresses concerns about the ethical implications of AI in the workplace and its potential impact on employment. AI

The US Senate has issued a warning regarding China's rapidly expanding nuclear capabilities, citing the construction of hundreds of new missile silos and advancements in mobile missile forces and long-range bombers. This warning comes just hours before a summit between Chinese President Xi Jinping and US President Donald Trump. The Senate hearing focused on the Department of Energy and National Nuclear Security Administration's atomic energy defense activities. AI

Alibaba's AI business has entered a commercialization phase, with annualized recurring revenue from its AI models and applications, including the Baichuan MaaS platform, projected to exceed 10 billion yuan in the June quarter and reach 30 billion yuan by year-end. This growth is driven by increasing demand from enterprise clients for model and application services, evidenced by a significant rise in token consumption. Concurrently, storage company Bowei Storage has refiled its application for an H-share listing in Hong Kong, though the offering remains subject to regulatory approvals. AI

Lin Junyang, the former head of Alibaba's Qwen large language model, has launched a new AI startup. The company is reportedly seeking a seed funding round with a valuation of $2 billion, an unusually high figure for a pre-product Chinese AI firm. Lin's previous work on Qwen, known for its open-source contributions and multimodal capabilities, positions his new venture to focus on "Agentic Thinking," a concept he outlined in a recent essay emphasizing AI's ability to act, observe, and adapt within an environment. AI

Negotiations between Samsung Electronics and its largest labor union have collapsed, with an 18-day strike at its chip factories now imminent. The union is demanding changes to bonus calculations, including removing a cap and allocating a percentage of annual profit, while Samsung has only offered a one-time payment. The potential strike, projected to cost $700 million daily, has prompted an emergency meeting called by the South Korean Prime Minister due to significant economic implications, as semiconductors form a large portion of the country's exports. AI

Edge computing is becoming crucial for modern manufacturing, enabling real-time data analysis and split-second decision-making by moving processing power closer to machines. This shift is projected to drive over $380 billion in global spending by 2028, with a significant portion of data processed outside traditional data centers. AI further enhances edge capabilities by facilitating predictive maintenance, optimizing workflows, and improving energy efficiency, while also bolstering cybersecurity measures against rising industrial threats. AI

Lin Junyang, formerly the technical lead for Alibaba's Qwen large language models, has launched a new AI venture. The company is reportedly exploring directions such as world models and embodied intelligence. Lin is seeking to raise funds at a valuation of approximately $2 billion USD, with initial discussions held with venture capital firms like Sequoia China and Gaorong Capital. AI

A Chinese court has awarded over £28,000 in compensation to a worker who was fired after his company replaced him with AI. The Hangzhou intermediate people’s court ruled that the tech company was wrong to dismiss the employee, whose surname is Zhou, when he refused a demotion and pay cut after AI was implemented. This ruling, along with a similar case in Beijing, suggests a shift in Chinese policy towards protecting workers' job security amidst rapid AI adoption and high youth unemployment. AI

Microsoft Research has unveiled GridSFM, a compact foundation model designed to optimize power grid efficiency. This model can predict optimal AC power flow in milliseconds, aiding operators in managing grid congestion, stability, and overall system health for cost savings. Separately, Andrew Ng refutes the notion of an imminent "jobpocalypse" due to AI, asserting that AI will transform rather than replace jobs, necessitating adaptation over excessive fear. AI

Isomorphic Labs, an AI-driven drug discovery company, and Anduril, a defense technology firm, have both recently secured significant funding rounds. Isomorphic raised $2.1 billion in Series B funding, while Anduril closed a $5 billion Series H round at a $61 billion valuation. Thrive Capital was a lead investor in both rounds, with Andreessen Horowitz also leading for Anduril. Both companies are leveraging advancements in AI to pursue ambitious goals, with Isomorphic aiming to cure diseases and Anduril developing autonomous weapons systems. AI

Fourier Intelligence has signed strategic cooperation agreements with Singapore's NHG Health and Japan's Nagoya University to advance embodied healthcare. These collaborations aim to accelerate the clinical translation of rehabilitation and robotics technologies, focusing on personalized rehabilitation and scalable robotic applications. Fourier Intelligence also showcased its brain-computer interface integrated with lower limb exoskeletons, proposing a "brain-computer embodied intelligent rehabilitation port" concept to enhance rehabilitation efficiency. AI

Researchers have developed a new online algorithm for Learning-to-Defer (L2D) methods, designed to handle streaming data and dynamic expert availability. This algorithm is the first of its kind for multiclass classification with bandit feedback and a varying pool of experts. It offers theoretical regret guarantees and has demonstrated effectiveness in experiments on both synthetic and real-world datasets, extending L2D capabilities to more complex, dynamic environments. AI

Two new research papers introduce advanced conformal prediction techniques to improve the accuracy and efficiency of prediction sets. The first paper, "Multi-Variable Conformal Prediction (MCP)," extends conformal prediction to handle vector-valued score functions, allowing for more flexible prediction set shapes without sacrificing coverage guarantees and eliminating the need for data splitting. The second paper, "Shape-Adaptive Conditional Calibration for Conformal Prediction via Minimax Optimization," presents the Minimax Optimization Predictive Inference (MOPI) framework, which optimizes over a flexible class of set-valued mappings to achieve superior shape adaptivity and more efficient prediction sets, even for complex conditional distributions. AI

Researchers have developed a new framework for optimal policy learning that addresses combined budget and minimum coverage constraints. The study reveals a knapsack-type structure within the problem, allowing the optimal policy to be defined by an affine threshold rule. Two algorithms, Greedy-Lagrangian (GLC) and rank-and-cut (RC), are proposed to implement this approach, with GLC offering close approximation and RC showing near-optimality under specific conditions. AI

U.S. authorities are investigating multiple cases of advanced Nvidia GPUs and other semiconductor technology being illegally smuggled to China and Russia, circumventing export controls. These efforts involve sophisticated schemes, including the use of fake front companies and encrypted communications, to move restricted chips for purposes ranging from AI development to military applications. Despite significant penalties and enforcement actions against companies like Applied Materials and Cadence Design Systems, the illicit flow of this technology continues, posing challenges to national security. AI

Researchers have developed a new method to improve the efficiency of training neural likelihood surrogates for stochastic process models. By augmenting the standard loss function with exact score information and adaptive weighting, the approach significantly reduces the computational cost associated with parameter inference. This technique demonstrates improved surrogate quality and can achieve performance comparable to a tenfold increase in training data with only a marginal increase in training time. AI

Organized opposition to AI data center expansion is coalescing into a more structured, networked approach. A new website, Data Center Opposition, tracks over 268 local groups across 37 states, aiming to facilitate coordination and information sharing among communities concerned about data center development. This growing resistance is increasingly influencing permitting, rezoning, and deployment timelines, with notable examples in Virginia, Missouri, and Georgia where community campaigns have led to project delays, moratoriums, and even outright cancellations. AI

Researchers have developed a new theoretical framework for neural operators, a type of AI model used to learn solutions for complex systems like partial differential equations. This work specifically addresses the approximation analysis for nonlinear reaction-diffusion systems, which are crucial for modeling pattern formation. The study establishes explicit error bounds and demonstrates that their proposed Laplacian eigenfunction-based architecture can significantly reduce the parameter complexity required for accurate predictions. AI

Researchers have introduced Random-Set Graph Neural Networks (RS-GNNs) to address uncertainty quantification in graph learning. This new framework models node-level epistemic uncertainty using a belief function formalism. Experiments on nine datasets, including autonomous driving benchmarks, show RS-GNNs offer improved uncertainty estimation capabilities. AI

Researchers have introduced Quantized Diffusion Schrödinger Bridges (QDSB), a novel method for learning generative models from unpaired data. QDSB addresses the computational challenges of traditional Schrödinger bridges by quantizing endpoint distributions and using cell-wise sampling to reconstruct the data plan. This approach significantly reduces training time while maintaining sample quality comparable to existing methods. AI

Kevin Warsh has been confirmed as the new Federal Reserve chair by a 54-45 Senate vote, succeeding Jerome Powell. Warsh, previously a Fed governor, has been a vocal critic of the central bank's recent policies and communication strategies. He inherits an economy grappling with resurgent inflation, consumer discontent, and unprecedented political pressure on the Fed's independence, particularly from President Trump. AI

The Netherlands has formally protested a proposed US law that would expand restrictions on chip equipment manufacturer ASML's sales to China. The Dutch government specifically objects to the extraterritorial reach of the proposed "Match Act," which would not only ban ASML from selling lower-end lithography machines but also prevent servicing existing Chinese customers. These new restrictions would build upon existing US export controls that already prohibit ASML from selling its most advanced extreme ultraviolet machines to China. AI

Researchers have developed a new spectral perspective to better understand tree ensemble algorithms like random forests and gradient boosting machines. This approach reveals that the decay rate of eigenvalues in the induced kernel operator dictates the statistical convergence for random forest regression. The findings also enable the creation of compressed tree ensembles, yielding significantly smaller models that retain competitive predictive accuracy, outperforming current methods for forest pruning and rule extraction. AI

The Korea Exchange (KRX) has begun integrating AI technology into its capital market surveillance systems. This move follows KRX's acquisition of AI startup Fair Labs, aimed at accelerating its AI transformation and bolstering its data operations. The adoption of AI is expected to enhance the efficiency and effectiveness of market monitoring. AI

Researchers have developed a theoretical framework for sparse Bayesian Kolmogorov-Arnold Networks (KANs). Their work establishes statistical foundations for KANs, demonstrating that these networks can achieve near-minimax posterior contraction rates. The analysis shows that KANs can adapt to unknown function smoothness and avoid the curse of dimensionality by controlling approximation complexity through width and parameter sparsity, rather than depth. AI

Researchers have developed a new active inference framework for U-statistics, aiming to improve estimation efficiency when labeling data is expensive. This approach selectively queries informative labels within a fixed budget, building upon augmented inverse probability weighting U-statistics. The framework is also extended to U-statistic-based empirical risk minimization, showing significant gains in efficiency and maintaining target coverage in experiments. AI

Tilde Research has introduced Aurora, a novel optimizer designed to train neural networks more effectively. Aurora addresses a critical issue in the popular Muon optimizer where a significant number of neurons become permanently inactive during training. The new optimizer, demonstrated with a 1.1B parameter pretraining experiment, achieves state-of-the-art performance on the modded-nanoGPT speedrun benchmark and has its code released publicly. AI

Researchers have introduced a new framework called post-ADC inference to address the challenges of statistical validity when data collected through active data collection (ADC) is reused for subsequent inferential tasks. This method accounts for biases introduced by both the data collection process and data-dependent target construction. The framework aims to provide valid p-values and confidence intervals, applicable to various ADC processes without strict assumptions on the underlying black-box function or surrogate models. AI

NVision, a startup specializing in cancer imaging, has secured $38 million in funding led by Abbott, with an additional $17 million venture loan. The company utilizes quantum technology to enhance MRI scans, allowing for real-time monitoring of a tumor's metabolic response to treatment. This innovation aims to provide faster feedback on therapy effectiveness, potentially changing treatment timelines from months to days. NVision plans to expand its metabolic imaging system to 20 centers globally and is preparing for human clinical studies in 2027. AI

Researchers have developed new online prediction algorithms designed to adapt their calibration error based on the degree of non-stationarity in the environment. These algorithms aim to perform optimally across a spectrum from stable, i.i.d. settings to highly adversarial ones. The proposed methods achieve adaptive calibration guarantees, matching optimal rates in stationary cases and recovering known bounds for adversarial regimes. AI

The upcoming meeting between U.S. President Donald Trump and Chinese President Xi Jinping in Beijing is expected to address critical technology issues, including the intense rivalry in artificial intelligence and the trade of advanced AI chips. Both nations are considering dialogues on AI safety, while simultaneously competing in AI development and facing accusations of illicit distillation techniques. The discussions will also cover supply chain security, electric vehicle trade, and the global market for rare earth minerals, with significant implications for companies like Nvidia and Chinese AI labs such as DeepSeek. AI

The Trump administration's efforts to establish federal AI regulation are stalled due to internal disagreements and a tight schedule. Officials are reportedly spooked by advanced AI models like Anthropic's Mythos, but a lack of consensus is delaying any concrete actions. The administration's approach to AI safety testing and potential regulatory frameworks remains unclear, with some officials suggesting a cautious, wait-and-see approach influenced by upcoming international summits. AI

Xunfei's Doubao LLM is reportedly receiving enhanced capabilities, though specific details remain undisclosed. Separately, Scenovation Technology has secured nearly $100 million in Series C funding, led by Suzhou Industrial Park Investment Group, to advance its automotive and embodied AI chip development. Additionally, a report from Scotiabank predicts a global copper deficit of 350,000 tons by 2027, driven by robust demand and supply-side challenges. AI

The Connectivity Standards Alliance, overseeing smart home protocols like Matter, has partnered with the OpenADR Alliance, which manages energy management standards. This collaboration aims to integrate smart home devices with energy grids, allowing for more efficient energy use and cost savings for consumers. Matter will manage in-home device communication, while OpenADR will handle grid interactions, simplifying energy demand response programs for utility companies and manufacturers. AI

Researchers have developed a new algorithm for identifying $\varepsilon$-good actions in fixed-budget Monte Carlo Tree Search (MCTS). This algorithm is $\varepsilon$-agnostic, meaning it does not require the error tolerance $\varepsilon$ as an input but still provides instance-dependent error bounds. The misidentification probability decays exponentially with the budget, and the analysis offers new guarantees for specific MCTS methods while highlighting differences in hardness compared to standard K-armed bandits. AI

American drug overdose deaths have decreased for the third consecutive year, reaching levels not seen since 2019. Preliminary data indicates a 14% drop last year, with declines observed across various substances like fentanyl and methamphetamine. While this trend offers cautious optimism, researchers warn that continued vigilance is crucial, as a rapid increase in deaths could occur if preventative measures are relaxed. The evolving drug supply, with new potent substances like cychlorphine emerging, presents ongoing challenges. AI

Researchers have developed a new dual representation for influence functions, which can efficiently estimate changes in model parameters and outputs. This method scales with dataset size rather than model size, offering an advantage for large models where traditional influence function evaluation is infeasible. However, the approach is currently limited to linearizable models and requires substantial matrix materialization. AI

Researchers have developed a new framework for Probabilistic Partial Least Squares (PPLS) that addresses practical limitations in existing fitting pipelines. This framework combines noise pre-estimation, constrained likelihood optimization, and prediction calibration, offering an end-to-end solution. The method utilizes exact Stiefel-manifold optimization and noise-subspace estimation, achieving improved accuracy and calibrated uncertainty across various benchmarks, including multi-omics datasets. AI