#Open source/Repo

AICloudflare released Clef and Clef-flash, two decision models hosted on Workers AI and open-sourced on Hugging Face under Apache 2.0, and launched a reinforcement learning fine-tuning service. In Cloudflare's tests, Clef classified a domain in 2.2s versus 4.7s for gpt-oss-120b, and the models are Jev-API compatible. The company is offering fine-tuning first through a forward-deployed engineering team, with a self-serve platform planned later.

AIToday we release the technical report that goes with it. Huge shoutout to everyone @singhshiviii @andrijazzz @lekeonilude @sudip_r0y 🔥 This tackles the hardest setting. How do you go from zero data regime to a training set for a capability.

AI…with built-in safeguards, without stalling crucial work. 🔬 We’re releasing these tools on an open basis for research use to strengthen safeguards →

AI…ChatGPT sign-in (Beta) 🍎 Better Apple chat 🔄 Restart recovery 2,818 PRs · 344 contributors And plenty more ↓

AIThat only works because someone keeps maintaining the software underneath it. @huggingface 🤝 @os4science are teaming up to find those libraries and back the people behind them 🧬

AIWe’d love to see your demos and hear your feedback. Join the official Ant Ling Discord to share your work and follow what’s next:

AIWith each edit, leading models add artifacts, pixel shifts, and color changes. Ideogram 4.5 eliminates artifact buildup, making multi-turn editing possible. Live in Ideogram, the API, and launch partners. Open weights soon.

AIGoogle Cloud introduced GKE Agent Substrate, an open-source execution runtime it says can run millions of sandboxes with 10x higher density than standard container runtimes. It also made GKE Agent Sandbox optimized for reinforcement learning generally available, alongside an orchestration SDK and native RL gym integrations. Google said GKE Pod snapshots can reduce AI inference start-up by as much as 89%, based on internal tests.

AILovable's security team found a vulnerability (CVE-2026-102989) in TanStack Start, which allows attackers to run unwanted JavaScript in visitors' browsers via crafted links. Lovable reported it to TanStack and deployed firewall protections for hosted apps while a fix was prepared, and affected projects will be automatically updated on their next change or via the Security page. Lovable says it found no evidence of exploitation in reviewed logs, and apps hosted elsewhere must apply the upstream update themselves.

AICome join us, we'll be handing out @UnslothAI merch, showcasing our upcoming features and more! It'll be a super fun night with lots of demos, DJs, food and more. Join: Use code: NOSLOTHSHERE to get in.

AIAfter switching models, can I continue the original session? If so, I really want to keep this menu bar, so I don't have to re-explain the project every time I change models.

AIInSpatio-World 1.5 from InSpatio_AI turns a single image, four images, a panorama, or a video into a navigable scene with wide viewpoint changes. The 1.3B model scores 68.72 on WorldScore-Dynamic, ranking first among evaluated real-time and interactive methods, with speeds up to 24 FPS. The post says the code is released under Apache 2.0 and that dependencies keep their own licenses.

AIWith shareable profiles, you can bring your Sites and plugins together in one place so others can find them, and reuse them. Teammates can discover your shared skills, too—those stay within your workspace. Available to Free, Go, Plus, Pro, and Business users. Rolling out to ChatGPT Enterprise, Edu, and Healthcare plans soon.

AI@RedHat @nvidia @OpenAI

AIBAAI released AREX-2, a 27B-parameter long-horizon agent model that improves solutions over multiple test-time rounds by proposing, measuring, reflecting, and revising. It was trained on machine-learning and algorithmic-programming tasks with verifiable feedback, and the source reports that this self-improvement transfers to deep research. The model is Apache License 2.0 licensed and has a 262,144-token context length.

Why it matters: The source compares AREX-2 against closed and open models on coding and deep-research benchmarks, showing how test-time self-improvement is measured across task types.

AIOpenAI says GPT-6.1 Sol is available starting today to all Plus, Pro, Business, Enterprise, and Edu users. The model is offered in ChatGPT Work and Codex, and the post links to OpenAI's introduction page.

AIWe’re also working with NVIDIA and the Open Secure AI Alliance, and sharing tools and findings so others can strengthen their own systems.

AIPerplexity has open-sourced Bumblebee, a read-only scanner for macOS and Linux that checks developer machines for risky packages, extensions, and AI tool configurations. When connected to Computer, it can trigger deeper scans whenever a new supply-chain risk emerges. The post says Computer reviews findings from Bumblebee and Numbat to propose better detection rules, and humans approve every change before it ships.

AIOur official feedback form connects you directly with the Qwen Image research team. Share your prompts, images, or workflows to help us investigate and improve. 📝 English & Chinese welcome.

AIvLLM announced day-0 support for IQuest-Q1, a 320B-parameter MoE model with 15B active per token, 256 experts with 8 active, and a 524,288-token context. The post credits existing vLLM features such as the hybrid KV cache coordinator, sinks attention path, and EAGLE speculative decoding with probabilistic draft sampling. The linked material includes a Docker image and vllm serve commands, with and without recursive MTP.

AIAnthropic reports that Zhipu AI's GLM-5.3 can autonomously build end-to-end cyber exploits and is released without meaningful safeguards against misuse. In its simulated tests, attackers bypassed the model's safeguards 64% to 100% of the time using simple techniques, while the same attacks failed against safeguarded Claude models. Anthropic also cites an NIST CAISI assessment calling GLM-5.3 the most cyber-capable open-weight model released to date.

Why it matters: The report shows how open-weight safeguards fail under simple bypasses, offering concrete test figures for judging misuse risk in released models.

AI数字生命卡兹克 announced that AIHOT, an AI hotspot news site with about one million monthly active users, is now open source on GitHub. The release includes the collection pipeline, curation scoring, clustering mechanism, and the production prompts, aiming to let others build vertical versions for industries such as gaming, law, HR, and finance.

AIK3-Node achieves 100% public API parity with PyG and incorporates state-of-the-art foundation models and architectures from Spektral and StellarGraph"

AIwhich links to a page for trying the model. The quoted announcement describes it as the second model in the Claude 5.5 family, a clear upgrade over Sonnet 5 that runs more than 30% faster and costs up to 30% less for most work.

AIJina-OCR-v1, a 3.4B-parameter MoE model that activates 570M parameters per token, converts entire document pages into structured Markdown at 2.57 pages per second. It scores 91.14 on OmniDocBench v1.6 and 83.4 on olmOCR-Bench, 7.4 points above DeepSeek-OCR on the latter, and delivers the highest throughput among 14 evaluated systems at concurrency 32. The model is released under CC BY-NC 4.0, so commercial use requires permission.

AIXiaomi has released MiMo-V2.6-Flash-MOPD on Hugging Face, an upgrade of the MiMo-V2.6-Flash-RL checkpoint that fuses several domain-specialized teachers into one model. The sparse MoE model has 309B total and 15B activated parameters, a 1M-token context length, and supports text, image, video, and audio inputs. The checkpoint targets tool-call repetition, a failure mode where the model repeatedly issues the same or similar tool calls without making progress.

AIXiaomi has released MiMo-V2.6-Pro-MOPD, an upgrade of the MiMo-V2.6-Pro-RL checkpoint that fuses several domain-specialized teachers into one model via MOPD2 and targets tool-call repetition. The sparse MoE model has 1.02T total and 42B activated parameters, a 1M-token context length, and accepts text, image, video, and audio inputs. Weights are available on Hugging Face and ModelScope, with deployment recipes for SGLang and vLLM.