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
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…
Read the report & discussion ↗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…
Watch Desk
Universities adopting AI assistants may be outsourcing more than computing, argues Hugging Face community writer Vasileios Stergiou: they may also be handing a private company influence over how students encounter difficult questions. His proposed alternative is to run open-weight models on infrastructure the institution controls, and make the…
Watch Desk
Eight vision-language models, one consumer GPU and a useful warning for anyone shopping by benchmark: a model’s tokens-per-second figure may tell you more about its serving setup than its underlying speed. A Hugging Face community article by Aakash Gupta compares ranking accuracy and throughput for video-question-answering workloads on…
NVIDIA Watch
NVIDIA has announced a reference design for securing autonomous AI agents, pairing a sandboxed runtime with a separate hardware watchdog, according to Moor Insights & Strategy. The design shifts some safety controls out of the model itself and into the systems that run it, a practical change for…
Mistral AI Watch
Mistral is expanding its Canadian business, planning offices in Montreal and Toronto while hiring researchers, developers and customer-facing engineers. The move shows how the French AI company is turning interest in sovereign AI into a push to build and customise systems for local organisations, though most of its…
Watch Desk
Cognition is betting that owning the model and infrastructure gives it an edge in AI coding, while Factory is betting that flexibility across models and deployment setups is the better route. A new comparison says the two approaches are now playing out in enterprise software engineering, with very…
Watch Desk
TypeSafe AI has launched Jev, a model that returns typed, probabilistic decisions instead of generated text. Its appeal is speed and outputs software can act on directly, but teams still have to decide when a probability is trustworthy enough to use.
NVIDIA Watch
NVIDIA has made its cuObject client and server libraries generally available and introduced a software kit for storage servers handling GPU-initiated requests. The push could make it easier to move AI data without routing transfers through the server CPU, while work on shared protocols aims to reduce the…
Microsoft AI Watch
Wazari.ai says it built its Azure-based agent Ezra a memory system that people can inspect and change, with human review for proposed skills and checks for decisions whose assumptions have changed. It is a practical answer to a problem that arrives once an agent is expected to remember…
Watch Desk
Building an AI agent that can use real services means solving more than login: teams must manage whose account it acts on, what it may access and how risky actions are approved. A Firecrawl guide compares nine authentication platforms and separates the job into four distinct problems, a…
Google DeepMind Watch
Google is preparing Gemini 4 for launch amid internal disagreement about how well it handles practical coding tasks, Bloomberg reports. The gap at the heart of the story is a familiar one in AI: strong benchmark results do not automatically translate into a model that works well on…
Watch Desk
Wajo has launched Fo, an AI agent that can make calls, send emails and pay for purchases, with a human assistant stepping in when the software hits its limits. The startup says Fo completed 71% of 104 real-world tasks, against 42% for OpenClaw, in its own testing.
