Search

An agent saying a task is finished is weaker evidence than a correct database record. Microsoft and Hugging Face’s ThinkingBox work turns executable checks of final database state into reinforcement-learning rewards, aiming to train more dependable business-task agents.

ResearchOct 9, 2026

OpenAI's math results are impressive enough to demand slower interpretation

The Conversation's look at OpenAI's latest mathematics results captures both the excitement and the discomfort around frontier reasoning claims.

Policy and SafetyOct 7, 2026

OpenAI's math advisory group turns frontier reasoning into a governance issue

OpenAI's move to form a mathematics advisory group is a signal that advanced reasoning is becoming too consequential to leave inside ordinary product evaluation. The concern is no longer just whether a model can solve harder problems, but who understands the path it takes to get there.

ResearchSep 14, 2026

RL with verifiable rewards is still one of the clearest paths to better reasoning

The arXiv paper on reinforcement learning with verifiable rewards sits inside one of the most important model-improvement loops: training systems where answers can be checked, scored, and improved without relying only on human preference.

Policy and SafetySep 11, 2026

Formal AI safety wants proofs where today's evaluations offer confidence

The Mathematical AI Safety Institute is aiming at a hard problem: can parts of AI safety be proven with the rigor used in cryptography, rather than inferred from tests and red-team reports? The Decoder's coverage is important because it points to a different safety culture.

ResearchSep 8, 2026

OpenAI's math-claim drama shows scientific credit is becoming an AI problem

AI-for-science is entering its most uncomfortable phase: the systems may become useful before the norms around credit, data use, and disclosure are ready. OpenAI's claimed progress on a major mathematics problem has drawn attention not only for the result, but for the academic dispute around how such work should be attributed.

InfrastructureSep 4, 2026

NVIDIA wants idle machines to behave like a personal AI cluster

NVIDIA’s personal-cluster idea is a small product with a larger message: AI compute does not have to live only in hyperscale data centers. If idle desktops and laptops can be tied together usefully, developers get another path for experiments, local models, and privacy-sensitive work.

InfrastructureSep 1, 2026

NVIDIA-backed cloud financing is becoming part of the frontier-model race

Frontier AI is starting to look less like a pure model race and more like a long-duration financing machine. Reporting on Anthropic, Lambda, and NVIDIA-backed infrastructure shows how compute access, leases, cloud contracts, and hardware supply can become tangled together when labs need enormous capacity before revenue has fully caught up.

AgentsAug 31, 2026

Anthropic’s machine interface shows why physical AI needs stricter rules

AI agents are edging out of software and toward machines. Anthropic’s interface work for agents operating equipment is an early sign of a larger shift: once models can interpret, plan, and send actions into physical systems, safety is no longer only about text outputs.

ResearchAug 26, 2026

TraceML asks whether coding agents can plan through real ML work

Coding agents look impressive on isolated tasks, but machine-learning work is messier: data changes, experiments fail, metrics mislead, and progress often depends on choosing the next test rather than writing the next function. TraceML is useful because it studies that planning layer instead of treating every software task like a short coding puzzle.

Developer ToolsOct 22, 2026

Agent Skills gets a neutral home as adoption spreads

Anthropic is donating the Agent Skills standard to the Agentic AI Foundation under the Linux Foundation. The October 22 announcement transfers the project’s name, repository organization, and domain, putting a widely used format for AI agent instructions into shared governance.

InfrastructureOct 21, 2026

Google Cloud adds OpenAI models to its enterprise menu

Google Cloud and OpenAI are bringing OpenAI models and Codex workflows into Model Garden. Google says the initial models are entering private preview for selected enterprise customers, with broader integrations still to come.

AI in PracticeOct 23, 2026

Siemens and Nvidia bring simulation into factory AI deployment

Siemens and Nvidia are using digital twins, synthetic training data, and AI agents at Siemens’ Erlangen electronics factory. AI Business reports applications for inspection and production planning, where proposed changes can be tested against a virtual representation of the plant.

InfrastructureOct 23, 2026

ChatGPT’s storage account shows the infrastructure behind global AI use

OpenAI’s latest Habitat engineering account describes the storage work behind products serving more than a billion users. The October 23 post explains how the platform evolved its use of Azure Cosmos DB, including the tradeoffs between isolated workloads and shared capacity.

AI in PracticeOct 22, 2026

Uber expands workplace agents from a pilot to its global staff

Uber is rolling out ChatGPT Work to more than 30,000 employees after an initial pilot of 1,000, according to OpenAI’s October 22 announcement. The deployment extends an agent platform for research, documents, analysis, and workflows across workplace applications.

ModelsOct 21, 2026

IBM’s Granite update brings practical speech workloads into focus

IBM has updated its Granite Speech collection with a new 2B speech-language model and revised models for fast transcription and speaker attribution. The release covers transcription, translation, and the practical problem of tracking who said what in longer recordings.

ModelsOct 21, 2026

Nvidia’s Kumo Relational predicts across connected database tables

Nvidia’s Kumo Relational takes aim at predictive work that lives across multiple database tables. Instead of flattening every relationship into manually engineered features, the pretrained model uses table links and examples to make task-specific predictions through in-context learning.

ResearchOct 23, 2026

SceneBloom builds more realistic practice rooms for embodied agents

SceneBloom addresses an awkward robotics bottleneck: a plausible-looking room is not necessarily a valid training environment. The new preprint combines visual layout generation with geometric checks to produce indoor scenes that embodied agents can actually use.

ResearchOct 23, 2026

UniAction tests a shared language for controlling world models

Artificial intelligence world models often learn one kind of control at a time. UniAction proposes a common representation for different actions, allowing forces, camera movements, hand poses, and robot poses to condition a unified video-based world model.

RoboticsOct 23, 2026

DexPort makes dexterous robot demonstrations portable

DexPort turns a robot hand into a portable demonstration device for artificial intelligence training. Researchers use the same hand hardware during data collection and deployment, while a small set of selectable skills helps an operator coordinate fingers without controlling every joint separately.

InfrastructureOct 9, 2026

AllenAI's GPU scheduling work puts infrastructure efficiency where it belongs

AllenAI's work on impactful scheduling for GPU clusters is the kind of infrastructure story that matters because AI progress is increasingly limited by how well expensive compute is used.

Policy and SafetyOct 10, 2026

Anthropic cutting evals off from the internet is a hard reset for agent safety

Anthropic cutting internal evaluations off from the live internet is one of the clearest admissions yet that agent testing has outgrown the old demo environment. The issue is not whether an agent can browse; it is whether a lab can predict what it will do when browsing becomes open-ended.

ModelsOct 10, 2026

Google's Gemini 4 coding gains keep pressure on the frontier model race

Reports that Google's Gemini 4 Carbon is matching Anthropic's Opus 5.5 coding performance show that the frontier race remains intensely competitive where developers feel it most.

ResearchOct 9, 2026

AI-designed virus research forces a harder conversation about scientific openness

MIT Technology Review's conversation with the creator of AI-designed viruses sits at the difficult intersection of scientific progress, biosecurity, and publication norms.