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🔨 Building custom AI agents? The HOMEGROWN AGENT MATURITY MODEL FOR EXECUTION AND RISK (HAMMER) is a self-assessment framework for scoring your homegrown agents. One rule stands out: your overall maturity can't outrun your visibility into what agents actually
OpenAI introduced GPT-6 Cyber, a cybersecurity model designed to identify and validate exploitable vulnerabilities while staying within researcher-defined boundaries.
Inkling 2 Small is a Mixture-of-Experts model with 594B total parameters, 17B active, that supports image inputs and variable effort. The model's vision and agentic capabilities enable it to incorporate visual feedback to iteratively build and refine websites, games, and 3D designs with interactive elements. It will be initially available through Tinker with closed weights. Full weights will be available under an Apache 2.0 license next week after the completion of external safety testing and red-teaming.
Google introduces Gemini Omni 1.2 Flash, enhancing speed, cost-efficiency, and extended clip lengths for AI models. This update aims to improve developer tools and effectiveness in AI applications.
Anthropic's AI R&D capabilities accelerated significantly, improving model performance on well-defined tasks at roughly twice the rate compared to 2024-2025. This acceleration primarily results from AI's increasing role in R&D, though multiple factors contributed in late 2025.
Cloudflare has outlined the challenges websites face as AI agents increasingly act on behalf of users, making it harder to verify identities, assess trustworthiness, and assign accountability.
Blood on the Clocktower is a social deception game. Watching AI play the game unveils a lot about how AI is progressing on a set of AI capabilities that no other benchmark gives clear visibility into. The game requires AI to execute schemes with creativity, on-the-spot bluffing, and collective reasoning. This post looks at what happens when you pit AI models against each other in the game.
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NVIDIA VFlash is a vision model that generates geometric predictions like robot trajectories and 3D motion in parallel rather than token by token.
NVIDIA's Cosmos 3 platform now offers four open-weight models for interactive world simulation and driving scenes, each with 16 billion trainable parameters. These models enable multi-sensor data generation, synchronized observations, and photorealistic video from simulator controls, supporting advanced research in robotics and autonomous driving.
GPU providers sell capacity through reservations, on-demand rentals, and interruptible spot contracts. Reservations help secure financing through predictable revenue, on-demand offers flexibility at higher rates, and spot monetizes idle capacity. Ornn's compute price indices track executed on-demand transactions, excluding reservations and spot rentals.
Anthropic Personal Finance in Claude allows users to securely connect bank and credit card accounts to ask questions about balances, transactions, and spending.
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AI-generated apps demo beautifully, but break on live data. Learn to reach production readiness with indexed data, permitted evidence, repeatable behavior, and reviewable agent context. Read the
Meta announced voice conversations and expressive avatars for its Muse app, allowing users to brainstorm, plan trips, and complete tasks through spoken interactions.
Hugging Face released "The Ultimate MoE Training Handbook," a comprehensive guide on training mixture-of-experts models.
The cost of a Devin Review per PR has dropped by 82% since August.
Users just have to describe the tool they want, and Cursor will build it, set up a database, run deterministic and agentic security checks, and deploy.