Simon Willison releases llm 0.36
Simon Willison has released llm 0.36, an update to his LLM command-line tool and Python library. The source does not disclose specific changes.

Simon Willison has released llm 0.36, an update to his LLM command-line tool and Python library. The source does not disclose specific changes.
OpenAI has released GPT-6 Sol and GPT-6 Luna, drawing on advances in GPT-6 Astra and positioning the models as faster and cheaper for work at scale. Greg Brockman says they inherit Astra's state-of-the-art performance in professional work, factuality, coding, computer use, and alignment. OpenAI has also improved caching and inference efficiency; API prices for Sol and Luna are 50% lower than GPT-5.6 promotional prices.
Why it matters: OpenAI brings Astra-level advances to faster, cheaper Sol and Luna models and states the API price reduction, giving readers a basis for assessing cost changes.
I've been on a Blender kick with Opus 5.5. Its better 3D modeling and vision mean you can build an entire world from a single prompt. Historically accurate San Francisco Market street in 1906, pre-earthquake
TikTok creator @therealcornpop says AI-written TikTok and YouTube scripts are easy to spot—not only because of stock phrases like “not X, but Y,” three-part structures, or choppy sentences, but because they lack a clear voice or position, revealing that the writer has no personal view on the subject.
I just realized Opus 5.5 can use Blender to make claymations with just a single prompt in claude dot ai now
OpenAI has released GPT-6 Sol and Luna, bringing frontier intelligence to everyday work with different balances of capability and cost. The source does not disclose parameter sizes, pricing, or specific performance metrics.
Why it matters: OpenAI has launched two GPT-6 models, Sol and Luna, giving readers a view of their different capability and cost tradeoffs.
Simon Willison has released llm-anthropic 0.29, an Anthropic-model plugin for the LLM tool ecosystem. The source does not disclose specific changes.
@mikeyk says Claude Sonnet 5.5 and Haiku 5.5 are launching in the coming weeks, with many of the same improvements to performance, efficiency, and safety. Lots more coming soon. Today is just the start!
Mike Krieger says Anthropic launched Opus 5.5 today, describing it as leading in coding and knowledge work and a great writer. He says it performs at the level of Claude Fable 5.1 for most tasks and costs 40% less to run than Opus 5.
Why it matters: The comparison with Claude Fable 5.1 and Opus 5 gives readers a concrete reference for the release’s claimed performance and running costs.
Simon Willison has released the `llm-typesafe` plugin, version 0.1a0, adding support for TypeSafe AI's new Jev model. Install it with `llm install llm-typesafe` and configure an API key.
Kimi has renamed Kimi WebBridge to Kimi Browser Extension. Users can chat with Kimi in the browser sidebar and ask it to browse pages or fill out forms. For repetitive tasks, they can record a sequence of actions once and save it as a skill for Kimi to run later. The extension is available at kimi.ai/products/kimi-browser-extension and the Chrome Web Store.
At ROSCon, NVIDIA released Isaac ROS 5.0 with new agent workflows and platform support to help developers build, customize, and deploy robotics applications faster.
Why it matters: The source lists Isaac ROS 5.0's agent skills and platform support, helping readers assess how much of the robotics development workflow can be automated.
Parallel uses GPT-6 Astra to help agents research and synthesize labor-market data, cutting both time and cost in half compared with its previous models.
AI hype surged this summer: Anthropic said Claude Mythos found vulnerabilities better than most security experts, OpenAI and Hugging Face were involved in a hacking incident, and both sides claimed mathematical breakthroughs. But expert review found that the hacking incident exposed security lapses at OpenAI, while OpenAI's Astra math result was not novel and even drew plagiarism allegations.
It’s hard to overstate @michpokrass’s impact on our consumer products. ChatGPT has had a rebirth under her leadership, and a lot of what we’ve built has been driven by her vision and conviction. Really grateful to work with her!
Xiaomi has released the MiMo-V2.6 family, including the multimodal MiMo-V2.6-Pro and MiMo-V2.6-Flash, and introduced MiMo-V2.6-Pro-UltraSpeed, which delivers up to 20× faster output.
Why it matters: Xiaomi's first entry in the frontier open-model lineup, with open RL environments and training recipes, provides a concrete example of post-training cost strategies.
Day-0 OpenVINO support from @inteldevs! 🥳 Qwen-Image-2.1 can now run with optimizations on Intel hardware. One open-weights checkpoint supports both generation and editing. 👇
Kimi K3 is now on Amazon Bedrock! Use Bedrock's access, encryption, and audit controls to run coding, document analysis, and extended agent workflows. Explicit prompt caching is supported. Start building with K3 on AWS 👉 https://docs.aws.amazon.com/bedrock/latest/userguide/model-card-moonshot-ai-kimi-k3.html
Jun Kim, creator and maintainer of oMLX, has joined Hugging Face full-time to build the MLX community. oMLX will transition from a side project to a funded, long-term effort, remain under the Apache 2.0 license, and continue under Kim's leadership, with a focus on improving stability and speeding up development.
The UK's AI Security Institute (AISI) is adopting EvalEval's Every Eval Ever schema and Evaluation Cards platform to share evaluation results publicly and improve reproducibility in evaluation science.
OpenAI has outlined priorities and principles for third-party safety evaluations of frontier models and safeguards, emphasizing that evaluations should be rigorous, safe, and independent.
Hugging Face has added GGUF support to Transformers. Users can select a GGUF checkpoint from the Hub and pass `gguf_file` to `from_pretrained` to generate locally, with no extra setup.
Why it matters: Hugging Face's official post explains how to load GGUF directly in Transformers and shares comparison results, helping readers judge whether to move their local-inference workflow.
TypeSafe AI released Jev last week, a new category it calls a System One model (the author prefers “decision models”). It accepts text input but returns floating-point values for categories, yes-or-no decisions, scores, and confidence rather than text.
In a Latent Space interview, TypeSafe AI founder Diogo Almeida introduces Jev as a System 1 model designed for code consumption and optimized for intelligence per dollar rather than chat experience. Its key innovation is unpublished RLCD (Reinforcement Learning for Calibrated Decisions), which uses calibrated probabilities instead of human-rating feedback.
Why it matters: Almeida revisits the strategic split between RLHF and RLCD and explains why the model is optimized for reliability rather than benchmark scores.
If you're building a product with AI, you should spend more than 25% of your time on benchmarks and work to get model labs to pay attention to them. It's the simplest way to accelerate a company's progress.
Andrew Ng says AI fears have been amplified over the past two weeks by an organized PR campaign and that AI has not taken an unexpected dangerous turn. He worries the reaction could set the field back. In his view, the risk of human extinction has not increased over the past few months; the biggest change is AI's cyber capability, which deserves serious attention but is not the end of the world.
Join us for a live demo of how you can use Gemini to shop. Whether you're trying to make informed purchases, comparing options, or browsing with a snap of your camera, you can shop smarter with the power of Gemini. 👉 Join the Discord to watch live: http://discord.gg/gemini 📅 Tuesday, September 22 at 11am PT
NVIDIA has launched DSX Ready, a certification program that checks whether partner products meet the requirements of NVIDIA's DSX AI factory reference design. The first categories are battery energy storage systems (BESS) and coolant distribution units (CDUs).
NVIDIA has introduced Halos, which it calls the first and only full-stack safety system for physical AI, spanning design, verification, and deployment.
At an event at the Grand Egyptian Museum, NVIDIA showcased Egypt's AI ecosystem moving from skills development to production deployments. Enrollment in NVIDIA's Deep Learning Institute in Egypt has grown more than tenfold in a year.
Microsoft has published RetroChimera, a retrosynthesis-prediction framework, in Nature and open-sourced its implementation and weights. It combines the Transformer model R-SMILES 2 with the GNN model NeuralLoc, using a learned ensemble to rerank their predictions and performing strongly on both common and rare reaction types. In blind tests, chemists preferred its single-step reaction predictions. It found complete routes for nine of ten challenging targets, compared with five for a de novo model, four for an editing model, and two for NeuralSym.
NVIDIA argues that AI safety is an engineering problem requiring enforceable controls, clear ownership, and verification evidence, and says safety boundaries must operate independently of agent reasoning. Its open-source NVIDIA OpenShell safety runtime enforces policies outside an agent's reach and provides sandboxed execution. Cisco DefenseClaw and JFrog have built governance and skill-scanning capabilities on top of it.
RAND published a long report recommending that the United States pursue a “free action” strategy amid uncertainty about the path to superintelligence, investing in AI safety, verification tools, and regulatory capacity to preserve its options instead of committing too early to one approach. Other research described growing partial human brain tissue inside mouse skulls and explored machine hermeneutics.
A MIT Technology Review investigation found systemic failures in the AI surveillance towers that make up the U.S. border “virtual wall”: equipment failures, missed detections, and agents not responding to alerts. More than 1,050 people have died, and the true number may be higher. The U.S. government plans to spend $1 billion by 2034 to double the virtual wall's size, while CBP has never audited deaths near the towers. The report offers four recommendations, including auditing deaths, fixing the migrant-death tracking system, and documenting arrests aided by surveillance technology.
A joint investigation by MIT Technology Review and The Times of San Diego found that more than 1,050 people died between 2015 and early 2026 within the nominal coverage areas of CBP border surveillance towers, including areas covered by nearly two-thirds of the towers analyzed.
With GPT-6 Astra, Higgsfield AI launched a new video feature in a single day, making it easier for small businesses to create video ads and bringing new creative tools to market faster.
OpenAI is working with an independent advisory group on mathematics and AI to guide the review and communication of emerging AI results. The article does not disclose the group's members, the scope of its work, or how it will operate.
Over a 15-month investigation with The Times of San Diego, MIT Technology Review created the first comprehensive map and analysis of deaths near surveillance towers along the U.S.–Mexico border.
At New York Climate Week, NVIDIA highlighted five companies using AI to advance clean energy. ThinkLabs AI uses digital twins and agents to reduce the evaluation time for grid-connection applications from 30–45 days to two minutes.
OpenAI has proposed a path toward shared global AI standards, calling for coordinated evaluation, reporting, and governance to improve safety.