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Briefing

The fast feed: breaking AI news from the global tech press, deduplicated and time-ordered.

The fast feed: breaking AI news from the global tech press, deduplicated and time-ordered.

Latest in Briefing

30 stories
XMSE-Aware Adaptive Empirical Bayes Estimation
Research

XMSE-Aware Adaptive Empirical Bayes Estimation

Empirical Bayes (EB) estimators can match the first-order asymptotic risk of maximum likelihood (ML) while behaving very differently at second order: recent exc…

Enabling self-supervised learned primal dual with Noise2Inverse
Research

Enabling self-supervised learned primal dual with Noise2Inverse

X-ray computed tomography reconstruction is an ill-posed inverse problem, particularly in low-dose and sparse-angle settings where measurements are noisy and in…

Parametric Open Source Games
Research

Parametric Open Source Games

Open-source game theory studies agents whose behavior may depend on one another's decision procedures, but most existing models use discrete or symbolic program…

Towards Explainable Adjudicative Variance: Quantifying Judicial Discretion via Gated Multi-Task Learning
Research

Towards Explainable Adjudicative Variance: Quantifying Judicial Discretion via Gated Multi-Task Learning

Legal outcome prediction must disentangle objective case facts from adjudicative context. Merit-based rulings rely on factual evidence while technical disposals…

SubdivAR: Autoregressive Next-Scale Prediction for Neural Mesh Subdivision
Research

SubdivAR: Autoregressive Next-Scale Prediction for Neural Mesh Subdivision

Mesh subdivision is a fundamental operation for converting coarse, editable meshes into high-resolution surfaces, with broad applications in digital asset creat…

Kolmogorov Arnold networks (KAN) for aerodynamic prediction: a comparison with MLPs and GNNs
Research

Kolmogorov Arnold networks (KAN) for aerodynamic prediction: a comparison with MLPs and GNNs

Kolmogorov Arnold networks (KAN) have recently been introduced as a (deep) neural network architecture whose trainable parameters adapt the activation functions…

fTNN: a tensor neural network for fractional PDEs
Research

fTNN: a tensor neural network for fractional PDEs

We develop the fTNN, a deterministic tensor neural network subspace method for problems involving the fractional Laplacian on bounded domains, taking the fracti…

Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks
Research

Safe Autoregressive Image Generation with Iterative Self-Improving Codebooks

Unlike diffusion-based models that operate in continuous latent spaces, autoregressive unified multimodal models produce images by sequentially predicting discr…

OpenRCA 2.0: From Outcome Labels to Causal Process Supervision
Research

OpenRCA 2.0: From Outcome Labels to Causal Process Supervision

Root cause analysis (RCA) poses a holistic test of LLM agentic capabilities, such as long-context understanding, multi-step reasoning, and tool use. However, ex…

A Process Harness for Uplifting Legacy Workflows to Agentic BPM: Design and Realization in CUGA FLO
Research

A Process Harness for Uplifting Legacy Workflows to Agentic BPM: Design and Realization in CUGA FLO

We introduce the process harness, a new mechanism for uplifting legacy workflows into Agentic Business Process Management (Agentic BPM) without replacing the un…

Ask, Don't Judge: Binary Questions for Interpretable LLM Evaluation and Self-Improvement
Research

Ask, Don't Judge: Binary Questions for Interpretable LLM Evaluation and Self-Improvement

Evaluating LLM outputs remains a major bottleneck in NLP: human evaluation is expensive and slow, lexical metrics correlate poorly with human judgments on open-…

Compositionality and the lexicon in evolutionary semantics
Research

Compositionality and the lexicon in evolutionary semantics

Formal semantics has shown that sentence meanings arise by recursively composing lexical meanings, yet much of the literature on semantic universals models eith…

How Good Can Linear Models Be for Time-Series Forecasting?
Research

How Good Can Linear Models Be for Time-Series Forecasting?

Time-series forecasting research has been moving steadily toward larger architectures, from specialized transformers to general-purpose foundation models, on th…

Recovering Governing Equations from Solution Data: Identifiability Bounds for Linear and Nonlinear ODEs
Research

Recovering Governing Equations from Solution Data: Identifiability Bounds for Linear and Nonlinear ODEs

Learning governing equations from observed solution data is a fundamental challenge in scientific machine learning \cite{bruntonDiscoveringGoverningEquations201…

Designing Reward Signals for Portable Query Generation: A Case Study in Industrial Semantic Job Search
Research

Designing Reward Signals for Portable Query Generation: A Case Study in Industrial Semantic Job Search

Job-search platforms rely on low-bandwidth query interfaces that often fail to capture the high-dimensional complexity of candidate profiles. We present an end-…

A Multi-Fidelity Convolutional Autoencoder-Transfer Learning Framework for Guided-Wave-Based Damage Diagnosis Using Large Simulated and Limited Experimental Datasets
Research

A Multi-Fidelity Convolutional Autoencoder-Transfer Learning Framework for Guided-Wave-Based Damage Diagnosis Using Large Simulated and Limited Experimental Datasets

Guided wave-based structural health monitoring (GWSHM) with onboard transducers offers significant potential for the early diagnosis of damage in engineering st…

Multilingual Reasoning Cascades Need More Context
Research

Multilingual Reasoning Cascades Need More Context

Translation cascades for reasoning translate the query from another language to English, reason in English, and translate the answer back to the original langua…

LLM-Based Examination of Eligibility Criteria from Securities Prospectuses at the German Central Bank
Research

LLM-Based Examination of Eligibility Criteria from Securities Prospectuses at the German Central Bank

Verifying the eligibility of securities as collateral is a key responsibility of the German Central Bank. However, manually verifying these assets against legal…

Autoregressive Boltzmann Generators
Research

Autoregressive Boltzmann Generators

Efficient sampling of molecular systems at thermodynamic equilibrium is a hallmark challenge in statistical physics. This challenge has driven the development o…

CoffeeBench: マルチエージェント経済環境におけるLLMエージェントの長期タスクベンチマーク
Labs

CoffeeBench: マルチエージェント経済環境におけるLLMエージェントの長期タスクベンチマーク

Sakana AIと有限責任あずさ監査法人は、コーヒー業界のサプライチェーンを舞台にLLMエージェントの長期的な経営能力を評価する「CoffeeBench」を開発。シミュレーション実験では、最新モデル間でも経営成績に大きな差があり、長期タスク特有のモデルの特性が観察された。…

Fact Sheet: President Donald J. Trump Advances Regenerative Agriculture and Strengthens American Farm Resilience
Policy

Fact Sheet: President Donald J. Trump Advances Regenerative Agriculture and Strengthens American Farm Resilience

ACCELERATING INNOVATION IN AMERICA’S FOOD SUPPLY: Today, President Donald J. Trump signed an Executive Order to accelerate American agriculture modernizati…

Advancing Regenerative Agriculture and Strengthening American Farm Resilience
Policy

Advancing Regenerative Agriculture and Strengthening American Farm Resilience

By the authority vested in me as President by the Constitution and the laws of the United States of America, it is hereby ordered: Section 1. Purpose and Policy…

GitHub Copilot for Jira is now generally available
Create

GitHub Copilot for Jira is now generally available

GitHub Copilot for Jira is now generally available. Since launching the public preview in March 2026, we have shipped a series of enhancements based on your fee…

Enterprise-managed settings now support strictKnownMarketplaces in VS Code and GitHub Copilot CLI
Create

Enterprise-managed settings now support strictKnownMarketplaces in VS Code and GitHub Copilot CLI

Enterprises can now control which plugins their users can install in GitHub Copilot CLI and VS Code. This setting is now available in public preview. Add strict…

Copilot code review: Analysis depth and efficiency updates
Create

Copilot code review: Analysis depth and efficiency updates

Copilot code review now uses the built-in file exploration tools available in the Copilot CLI and SDK, significantly improving review cost efficiency with no ch…

Claude Code v2.1.193
Agents

Claude Code v2.1.193

dotnet-1.11.1
Agents

dotnet-1.11.1

The age of thinking machines: Perspectives on the future of robotics
Practice

The age of thinking machines: Perspectives on the future of robotics

The next frontier of AI is physical. Embodied intelligence, in the form of robots, could change how we live and work by 2040.…

Radical Lunatics Deface America’s Reflecting Pool — and President Trump Was Right (Again)
Policy

Radical Lunatics Deface America’s Reflecting Pool — and President Trump Was Right (Again)

Crazed and deranged lunatics have once again exposed their hatred for America with a cowardly, deliberate attack on one of our nation’s most iconic landmarks — …

Random  styles in draft mode
Create

Random styles in draft mode

Heya everyone!We're making it easier to explore different styles in draft mode for V8.1. Include --sref random in your draft-mode prompt to create 24 image…