From the archive
AI models are the systems behind chatbots, coding assistants and tools that work with text, images, audio and video. Follow new language model releases, open-weight models, local AI and benchmark results. Our coverage looks at capabilities, context limits, access, pricing and evaluation methods so you can compare the evidence behind a launch, not just the claims in its announcement.
Lead story
DeepSeek and Huawei are reportedly developing software for Huawei’s Ascend AI processors, a move that could make it easier to build AI workloads for hardware outside the Nvidia ecosystem. The useful detail is that this means adapting tools and kernels, not automatically translating CUDA code.
Read the report & discussion ↗OpenRouter Watch
Changing the model behind an AI agent can break its tool calls even when the tool itself has not changed. OpenRouter’s guide compares how six popular frameworks handle provider-specific tool formats, and explains how a gateway can keep an application’s tool interface consistent across supported models.
CoreWeave Watch
CoreWeave has introduced Registry, a system for managing AI assets from development through production. Its practical promise is to connect version history, permissions and release workflows, so teams can find what they need and see how it got there without relying on institutional memory and a well-labelled folder.
Anthropic Watch
Anthropic has launched Claude Sonnet 5.5, a new model aimed at everyday coding and knowledge work. The headline claims are more than 30% faster output and up to 30% lower cost per task on many workloads, while token prices stay unchanged.
AWS AI Watch
AWS AgentCore CLI 1.0.0-rc.5 adds a large set of project-creation wizards, a new exec command and a more capable terminal interface. It is a release candidate, not a finished 1.0 launch, but it gives developers a much clearer preview of how AWS wants AgentCore projects to be built…
Cerebras Watch
Cerebras says it achieved five times the inference capacity in early tests by separating prompt processing from token generation and using partner hardware for the first stage. The approach could let operators scale and tune each stage independently, rather than simply adding more of the same accelerator hardware.
AWS AI Watch
AWS has released Strands Decider 2B, an open-source model designed to handle routine, bounded choices inside AI agents. Rather than generating text, it scores available options, potentially leaving larger language models to handle the harder calls.
Epoch AI Watch
The cost of reaching a given level of AI performance has been falling by nearly half each quarter, according to a report from research firm Epoch AI. If that trend holds, capable AI could become cheaper quickly, putting pressure on software businesses built around today’s prices.
Watch Desk
An essay published by The Observer argues that AI research need not slow down, but that powerful models should face stronger checks before wider release. Its central proposal is a predictable testing process for safety, security and reliability, rather than treating research speed and public deployment as the…
MLCommons Watch
MLCommons has published a first-draft taxonomy of five privacy risks for AI agents, from gathering more personal data than a task needs to losing track of consent and accountability. The framework gives developers and deployers a useful map of what to examine, but it does not yet rank…
Watch Desk
Google Research and Virginia Tech researchers have developed WikiSkill, a framework that turns an AI agent’s past successes and failures into reusable skills. In the researchers’ tests, it beat existing skill-evolution methods across five benchmarks, while keeping its growing store of experience out of the agent’s runtime prompt.
Watch Desk
A study from Apple and EPFL found that, under equal time budgets, elaborate agent harnesses did not outperform a minimal coding-agent setup using the same frontier model. The result puts a useful question to AI developers: how much of an agent’s performance comes from its scaffolding, and how…
GMI Cloud Watch
At a San Francisco hackathon on 26 September, 55 teams built working projects around Jev, a model from TypeSafe AI, using GMI Cloud’s inference service for text, image, video and voice generation. The useful idea was to give quick, typed decisions to one model and leave the actual…
MLCommons Watch
MLCommons has introduced DLRMv4, a new MLPerf Training benchmark for AI recommendation systems built around users’ sequences of past actions. It replaces an older benchmark design that flattened behaviour into aggregated features, giving hardware comparisons a workload closer to how large recommendation models are trained today.
Shopify Watch
Shopify is rolling out Canvas, a visual workspace where merchants can work with its Sidekick AI to build and redesign online stores. The notable shift is that Sidekick can make coordinated changes to a theme while merchants see the interactive result across the whole store, rather than judging…
OpenText Watch
OpenText’s Fortify Agent Skills give coding agents access to security findings and defined workflows, so they can prepare fixes with more context than source code alone. The important boundary: an agent can propose the repair without becoming the authority that signs it off. For teams already letting agents…
