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The new open-source benchmark CloudOpsBench v1.0 tests AI agents on 45 DevOps tasks in AWS. The best model (Claude Fable 5.1) succeeded in 60%, GPT-6 Astra in 53%; most errors stem from faulty reasoning, with a fifth having irreversible consequences.
Version 0.37 of the LLM CLI tool by Simon Willison adds the models gpt-6.1-sol and gpt-6.1-terra, a cheaper default model gpt-6-luna, and better support for multimodal embeddings (text, audio, image, video).
Alongside a ban on AI-related projects, the r/opensource community requires projects to have existed for at least a year, be actively maintained and have multiple contributors. It also rejects posts by people who do not speak English. In response, the r/TrueOpenSource forum was created, which does not exclude AI.
New: Projects must be at least a year old.; Projects must be actively maintained.; Projects must have multiple contributors.; Posts by people who do not speak English will no longer be accepted.; In response, the r/TrueOpenSource forum was created, which does not exclude AI.
Google has released Agent Substrate, an open-source runtime for Kubernetes that runs agents in isolated microVMs. According to the company, it allows ten times as many agents to run on a single server.
The DeepInfer framework for DeepSeek V4.1 Flash supports offline inference on Nvidia SM100 GPUs and Huawei Ascend 950 NPUs. DeepSeek released its previously internal software under Apache License 2.0.
Part of an overview of multiple AI topics; only this event has been covered.
New: DeepInfer supports offline inference on Nvidia SM100 GPUs.; DeepInfer supports offline inference on Huawei Ascend 950 NPUs.
Microsoft released an open-source tool that uses machine learning to forecast the weather two to six weeks ahead. According to the company, it delivers higher accuracy over this time frame. The research results were published in the journal Nature.
Kevin Lin announced the availability of the open-source platform OpenClaw Enterprise for managing and deploying persistent AI agents at DevDay 2026. According to OpenAI, it adds customer isolation, policy management and security boundaries.
The Agent Lightning v1.0 framework is available as open-source. During training, it uses the same agent harness as during deployment and records model requests and responses through an LLM proxy. The agent continues to control interactions with the environment.
Developer Om Lahore describes the changes made by RemoveMacAI as fully reversible. The tool is intended to remove Apple Intelligence models and disable the related features in macOS 27. The developer reports approximately 12 GB of data, while The Verge mentions more than 30 GB.
New: The developer describes the changes made by the tool as fully reversible.; According to The Verge, Apple Intelligence models can take up more than 30 GB.; The creator of the tool is Om Lahore.
Physicist Matthew Schwartz released the source code for BootLoops, a tool for scientific calculations with language models. According to the author, the team produced 36 manuscripts across 18 fields in three months. However, the results required review and guidance from domain experts.
The Muse Gadgets project is licensed under Apache 2.0. Meta also introduced Muse Home Link, a device for controlling home devices through the Muse agent. According to the company, 5 000 units were made, which it will offer to Muse subscribers for free while supplies last.
New: The project code is licensed under Apache 2.0.; Meta created the USB-C device Muse Home Link to control devices with an HTTPS interface on a home network.; According to Meta, 5 000 Muse Home Link units were manufactured.; Muse Home Link deliveries are expected to begin within a few weeks.; Muse Home Link will be free for Muse subscribers while supplies last.
Olmo-core 3 has been released, providing infrastructure that keeps experts in GPU memory and routes data to them when training MoE models. According to the authors, it achieved approximately 2.7 times the throughput of the previous implementation in a preliminary test on eight NVIDIA B300 GPUs.
The released QATFactory tool adapts LLMs to the NVFP4, MXFP4 and Q4_K formats during training. It supports training for NVFP4 on H100 GPUs and direct export into vLLM and llama.cpp. The authors report higher accuracy than with post-training quantization.
In collaboration with Huawei, Deepseek has released as open source the TileLang programming language and computation libraries for Huawei Ascend chips. The goal is to create an alternative to the CUDA platform for Chinese AI hardware.
Stanford University published the Paper2Agent framework in Nature, which automatically creates a tested AI agent from an academic paper and its code. A demonstration using the AlphaGenome model created 22 verified tools in 45 minutes for under 15 USD.
Hugging Face has released the tokenizers v1 release candidate, which, according to the company, is up to ten times faster than v0.23 while preserving the same API, output and vocabulary. The speedup comes from SIMD optimizations, caching recurring words and native parallelism.
A research team released a description of the synthetic STEM dataset QVAC Genesis III (191.43 billion tokens, 19 domains). According to the authors, on models with 1.7 billion parameters, it outperformed Cosmopedia-v2 and Cosmo-1B on the ARC, GPQA Diamond and MMLU STEM benchmarks.
A journalist at WIRED created PitchFly, a project that uses the freely available drosophila brain connectome (166 000 neurons, 125 million synapses) to generate ideas for article headlines – without understanding the meaning of words, simply by remixing learned patterns.
Debian Project voted to allow developers to use AI tools in contributions to the distribution without special restrictions or a requirement to report their use; responsibility for quality and compliance remains with the contributor. Part of the community disagrees with the decision, and one contributor is leaving the project because of it.
The research division Microsoft Research has released the open-source Orchard framework, which is intended to reduce the cost and simplify the training of autonomous AI agents. It is built on Kubernetes and offers three domains: software engineering, GUI navigation and productivity tasks.
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Until now, the mode was available only on the highest plan; it is now available on all paid tiers without a waitlist.
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