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QWEN-IMAGE-3.0-PRO

Qwen-Image-3.0-Pro can generate complex layouts like newspapers, storyboards, menus, and exam papers in a single pass.

OPENAI AGENTS REBUILT A SECRET MESSAGE BOARD AFTER THE COMPANY SHUT IT DOWN

OpenAI's AI agents spent nearly two months building a communication network inside the company's infrastructure to share vulnerabilities and exploit code.

XIAOMI OPEN-SOURCES EMBODIED AI FOUNDATION MODEL XIAOMI-ROBOTICS-1

Xiaomi-Robotics-1 is an embodied-AI foundation model targeted at robotics developers and researchers building general-purpose robot intelligence.

DEEPSEEK PLANS SIGNIFICANT API PRICE INCREASES

The company has yet to publish a new price schedule.

ZERO-MEM: ZERO-TOKEN MEMORY OPERATIONS FOR LLM AGENTS

Zero-Mem achieves competitive performance while eliminating LLM calls and LLM-token consumption from memory operations.

ADR

ADR detects risky AI agent behavior using telemetry and attack simulations.

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ANTHROPIC REPORTEDLY SIGNED A $10B CLOUD DEAL WITH VOLTA

Anthropic reportedly agreed to buy six years of cloud capacity from AI infrastructure startup Volta. The planned 133-megawatt Norway data center would be developed with Bitdeer and powered by NVIDIA Vera Rubin systems.

A UNIFIED API FOR AI MODEL ROUTING

Model routing on the Google Cloud API Gateway is now available in public preview. The API gateway provides a lightweight, serverless ingress layer that accepts OpenAI-compatible requests and dynamically routes them to Gemini, Claude, or OpenAI OSS-GPT. It can be used standalone for simple rate limiting and token tracking or paired seamlessly with the Gemini Enterprise Agent Platform. This article contains a step-by-step guide on how to configure router logic.

CLOUDFLARE INTRODUCED PROGRAMMABLE WALLETS FOR AI AGENTS

Cloudflare Wallets is a system designed to give AI agents stable identities and controlled access to payments for APIs, MCP tools, and online content. Virtual Wallets will support spending limits, allow lists, and transaction caps for safer agentic commerce.

UNPACKING CHATGPT WORK: THE AGENT FOR A BILLION USERS

ChatGPT Work is OpenAI's agent product for knowledge work. Its current form is an amalgamation of ChatGPT, the Codex app, the Codex harness, the original Codex cloud agent, ChatGPT agent, Atlas, OpenClaw, and more. This article decodes the complex product lineup and explains what Work is, where it fits in OpenAI's lineup, the many interesting choices in its design, the tensions underneath, and where the product is likely headed. OpenAI plans to merge Chat and Work, so Work is really a preview for how ChatGPT's billions of users will soon use the app.

WHAT CODEX ACTUALLY SENDS TO THE MODEL

A developer recorded the requests Codex generated for a 16-character prompt by pointing it at a custom local server. They measured what changed as it loaded instructions, exposed tools, read files, ran commands, received images, and compacted its history. The experiment did not call an external model. This post details the findings from the experiment.

BLACK DUCK CAN HELP.

INTRODUCING SHIELDSTRAL

Shieldstral features a 3B open-weights multimodal safety classifier that outperforms models up to 7x its size. It accepts plain-language policies at inference time, unifying text and image safety evaluation without retraining. Shieldstral delivers calibrated safety scores across diverse benchmarks while running efficiently on a single 16GB NVIDIA GPU. It is a step toward moderation that adapts to context instead of forcing every product through one frozen taxonomy.

NVIDIA RELEASED ALPAMAYO 2

NVIDIA has released Alpamayo 2 Super under a commercial license for robotaxis and autonomous vehicles. The reasoning model was designed to handle rare driving scenarios with inspectable decisions and broad multitask capabilities.

INTRODUCING KIRO CREW

Kiro Crew is a persistent workspace for development work that self-improves and continues beyond one session. It can run locally or remotely on personal hardware. Kiro Crew allows developers to start work from within a desktop app, web dashboard, or CLI, and continue the same work through connection tools like Slack and Discord. It can run multistep tasks and recurring jobs on a schedule and also monitor systems until something needs attention.

DIFFUSIONGEMMA TECHNICAL REPORT

DiffusionGemma adapted Gemma 4 into a discrete diffusion model that refined 256-token blocks in parallel, reaching roughly 1,500 output tokens per second on a single NVIDIA H100.

THE COMPUTER USE VERIFICATION SKILL THAT EVERY AGENT NEEDS

Computer-use verification lets coding agents reproduce bugs, validate implementations against specs, and attach screenshots or videos to pull requests. Integrated into triage, implementation, and review workflows, cloud-based subagents reduce human review burden and enable iterative self-debugging.

SPACEX SAYS SPENDING SPREE IS SUPERCHARGING AI REVENUES

SpaceX's capital expenditures hit $18.4 billion in the most recent quarter. The bulk of that figure is tied to the company's ongoing AI build-out. The company is plowing money into terrestrial computing infrastructure, signing AI deals, and working toward launching orbital data centers. SpaceX is on track to have $100 billion in annualized recurring revenue by December, most of it coming from data center deals.

answers. Learn more about token-efficient architecture

NVIDIA'S REAL-TIME FULL-DUPLEX VOICE MODEL

NemotronLabs VoiceChat is an 11B end-to-end speech model that handles streaming understanding, speech generation, and tool calling within one architecture.

THE REVERSE REPLICATOR

Backflip AI developed a model that converts physical parts into digital CAD files in minutes for around $10.

MIXTURE-OF-KITTENS: OUR OPEN-SOURCE MOE MEGAKERNEL FOR NVL72S

Cursor's Mixture-of-Kittens (MoK) is an open-source optimized Mixture-of-Experts (MoE) megakernel that improves efficiency on NVL72s GPUs, which significantly boosts performance for models like Composer by addressing computation and communication bottlenecks.

LFM2.5-2.6B: DEPLOY AGENTS EVERYWHERE

LFM2.5-2.6B, a 2.6B parameter on-device agentic model, enables free inference, low latency, and robust privacy by running locally on hardware like phones or CPUs.

PREPARE FOR THE ERA OF AI-DRIVEN EXPLOITS.

FORMER OPENAI EXEC FIDJI SIMO DISCUSSES HER BATTLE WITH POTS AND HER STARTUP'S PLANS TO CURE IT WITH AI AND 3,500 VIALS OF BLOOD

Fidji Simo left OpenAI's leadership team after a seven-year battle with Postural Orthostatic Tachycardia Syndrome (POTS). Her new startup, ChronicleBio, will focus on using AI to cure POTS and other chronic diseases. The company has collected 153 terabytes of data from blood draws from people with chronic diseases so far. It plans to launch home blood draws to further increase its dataset. ChronicleBio plans to use the data to learn more about diseases and improve the success of clinical drug trials.

ANTHROPIC PAYS AI'S BIGGEST SALARIES. ITS CEO JUST DISCOVERED PEOPLE MIGHT TAKE THEM FOR THE MONEY

Anthropic's CEO, Dario Amodei, recently said he was worried that new hires were joining his company for the money rather than the mission. Anthropic reportedly pays more than any lab in AI. Hiring top researchers is hard, and keeping them is even more difficult. When every lab can pay millions, mission is the only lever left. Researchers chase money, but they also chase compute, influence over what gets built, and the freedom to work their own way.

MIND LAB PUTS CONTINUAL LEARNING TO THE TEST WITH MACARON-V1

Mind Lab claims its Macaron-V1 model surpasses GLM-5.2 in its benchmarks. The model was built by attaching five LoRA expert modules, each with about one billion parameters, to GLM-5.1. The system dynamically switches to the expert model best suited to the task it is given. The accumulated data from model use can be distilled into a dedicated LoRA adapted that is continually updated as the model is called.

HOW OPENAI BUILT GPT-LIVE

OpenAI rebuilt its voice architecture around a full-duplex model that listened and spoke simultaneously. The system combined stateful inference, asynchronous delegation, dynamic context management, and low-latency media transport to keep conversations responsive while supporting advanced reasoning and tool use.

ONE AGENT, EVERY SURFACE: HOW WE BUILT THE KIRO AGENT HARNESS

Kiro is an agentic IDE with features such as specs, steering, and hooks. The Kiro agent harness is a lightweight server-side process that runs alongside codebases, starts quickly, and owns everything on the agent side. The IDE, CLI, and Web clients own how the user interacts with the agent and how it presents the agent's work. The only way to cross that boundary is through the defined protocol interface. The well-defined interface between server and client means the agent code evolves independently of the clients.

OPENAI'S UNRELEASED MODEL ASTRA SOLVES TEN MAJOR OPEN MATHEMATICS PROBLEMS

OpenAI's recently released solutions for ten major open mathematics problems show that AI is now superhumanly capable at cyber and coding and superhuman at advanced math, the same way non-AI computers have been superhuman at basic math for a long time. These problems were well-defined, formalized problems where the solution could be easily verified. A lot of what constitutes AI R&D is verifiable. The lab that gets traction on true AI R&D self-improvement loops will find themselves in an overwhelmingly strong position.

ORCHARD

Orchard is an open-source agentic modeling framework. Its foundation is a thin, Kubernetes-native environment service that exposes generic primitives with no assumptions about the harness, trainer, inference backend, or task domain sitting above it. This foundation allows for recipes that use the same substrate for trajectory distillation, on-policy RL rollouts, and evaluations. Datasets, training recipes, and evaluation protocols stay portable across harnesses, domains, and projects instead of being rebuilt for each new study.

MIRRORCODE

MirrorCode is a benchmark that tests AI models on long-horizon tasks. It contains tasks where AI models have to reimplement entire programs end-to-end without access to the original source code. AI-generated solutions must match the original program's output exactly on end-to-end tests. The benchmark's 25 target programs span different areas of computing, including Unix utilities, data serialization and query tools, bioinformatics, interpreters, static analysis, cryptography, and compression.

FROM RLVR TO RLSVR

RLSVR expanded RLVR beyond inherently verifiable problems by transforming open-ended tasks into proxy environments with rules and outcomes that generated their own reward signals. SpyRL demonstrated the approach through multi-agent self-play, where predetermined roles and voting made evaluation automatic.

FAST GEMMA'S VERIFIED INFERENCE OPTIMIZATION RECIPE

VIDRAFT documented the full configuration behind its verified state-of-the-art Fast Gemma submission, explaining how each software optimization increased tokens per second on Gemma 4 E4B running on a single NVIDIA A10G.

GPT-5.6 SOL USES TWICE THE TOKENS OF GPT-5.5

GPT-5.6 Sol xhigh now uses more than twice as many tokens per session as GPT-5.5 xhigh in Codex workflows. This cuts the effective value of a token-based quota by more than half. At the same token price, 2.25x the tokens means roughly 2.25x the cost for a similar token mix. GPT-5.6 Sol also adds a cache-write charge that GPT-5.5 didn't have.

WHITE HOUSE TO HOST AI COMPANIES TUESDAY TO REVIEW NEW MODEL-TESTING FRAMEWORK

The White House will meet with AI companies to discuss a new framework for reviewing cybersecurity in AI models. This voluntary framework, ordered by President Trump, allows AI developers to share models with the government to evaluate cybersecurity risks. Companies like OpenAI, Google, and Anthropic are set to attend, with the assessment criteria remaining classified.

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GOOGLE WORKSPACE PLUGINS

Cursor can now read, write, and act across Google Workspace through new plugins available on the Cursor Marketplace.

GOOGLE IS WORKING ON PLUGINS FOR GEMINI ENTERPRISE

Plugins may act as mini-apps or packaged workflows.

DEEPSEEK'S NEW AI MODEL IS BY FAR THE CHEAPEST OF WELL-KNOWN MODELS TO RUN, RESEARCH FIRM SAYS

DeepSeek's V4-Flash AI model is the cheapest to run among well-known models, costing 105 times less than Anthropic's Claude Fable 5.

Stop babysitting your LLM providers.