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GitHub@githubOfficialAI score39AIGitHub has released ReviewBench, a new open benchmark for evaluating AI code review agents, shaped by analysis of 103.9M GitHub pull requests. It contains 219 PRs across 19 languages, and developers can bring their own code review agent, evaluate it, and submit their results.
Philipp Schmid@_philschmidXPickAI score70AIGoogle releases EmbeddingGemma 2, its first native multimodal embedding model, built on Gemma 4 under Apache 2.0. It embeds over 100 languages, code, images, audio, and video into one vector, with an 8,192-token context and four sizes from 270M to 740M parameters. Matryoshka output dimensions of 768, 512, 256, or 128 are supported, and the model is available in Sentence Transformers and LiteRT-LM, with a reported 14% gain on MTEB Code.
Why it matters: The release extends an embedding model to text, code, images, audio, and video in one vector, a useful option for retrieval systems that mix media types.
ComfyUI@ComfyUIOfficialAI score4AIComfyUI shares a Luma link for registration to an event, with no further details given in the post. The post does not specify the event's date, format, or content.
Aravind Srinivas@AravSrinivasXAI score34AIPerplexity says its open-weights multimodal decision model pplx-decider-v1.1-27b ranks first on the new Hugging Face Decision Index 0.3 benchmark. The updated model is available to all, and it costs $0.02 per million input tokens, half the price of v1.
METR@METR_EvalsOfficialAI score40AIMETR demonstrated a JavaScript injection that an agent could trigger through MathJax rendering from any part of its output, including its reasoning. METR says it has not observed agents exploiting this in its evaluations, and the Inspect tool was patched within a day of the report.
METR@METR_EvalsOfficialAI score36AIA METR researcher discovered a bug in the transcript viewer of Inspect, a popular evaluation framework, that could let an agent show a user a fabricated or edited version of its transcript.
Perplexity Developers@perplexitydevsOfficialAI score38AIPerplexity says its open-weights multimodal decision model pplx-decider-v1.1-27b is now available and scores highest on Hugging Face's new Decision Index 0.3 benchmark. The model costs $0.02 per million input tokens, half the price of v1.
eric zakariasson@ericzakariassonXAI score15AIxAI has shared a complete cookbook repository on GitHub, linked at The post gives no further details about the repository's contents or purpose.
eric zakariasson@ericzakariassonXAI score22AIGrok can turn a pasted article or PDF into a podcast where two hosts discuss the content. Each script line is voiced as soon as it is written, so playback begins before the full script is finished. The example code is available in the xai-cookbook repository on GitHub.
eric zakariasson@ericzakariassonXAI score22AIThe xai-cookbook's x-sentiment-tracker lets users pick a topic, then has Grok run one X search per day over the last 10 days and score each post from -1 to +1. The dashboard displays the sentiment split, day-by-day movement, and the posts behind each score.
eric zakariasson@ericzakariassonXAI score37AIThe xai-cookbook example uses Grok to generate a Tailwind React component from a dropped-in screenshot. The page then screenshots its own render, overlays it on the original, and feeds the mismatches back so Grok can refine the layout, raising the match from 60% to 77% in one run.
eric zakariasson@ericzakariassonXAI score29AICursor has added five apps to its cookbook, all built on the new SpaceXAI TypeScript SDK. The apps cover premise-to-short-film, picture-to-video ads, screenshot-to-React-component, X posts-to-sentiment dashboard, and link-to-podcast conversion. Demos and code are available in the post.
Georgi Gerganov@ggerganovXAI score28AIllama.cpp added day-0 support for EmbeddingGemma 2, with GGUF builds available on Hugging Face under ggml-org. The post links to the embeddinggemma-2-GGUF model page as the way to run it.
ARC Prize@arcprizeOfficialAI score31AIARC Prize published full Grok 4.7 results from the xAI model on its public leaderboard. The post links to the leaderboard, a GitHub repository for reproducing the results, and the ARC Prize testing policy.
👩💻 Paige Bailey@DynamicWebPaigeXAI score54AIGoogle's EmbeddingGemma 2 is an open embeddings model for on-device use that covers code, image, video, audio, and text. It comes in modular sizes from 270M text/code to 740M full multimodal, supports Matryoshka truncation down to 128 dimensions, and reports a 14% gain on MTEB Code over v1 under an Apache 2.0 license. The author's post highlights the release and a Hugging Face demo, while the benchmark table compares it with several models.
Dongxi NLP@dongxi_nlpXAI score34AIMistral AI has released Mistral Large 4, a model nicknamed "Le Chonk," according to a post by Dongxi NLP. The post also highlights "sovereign AI" as a keyword, tying the release to the theme of national or independent AI capability. No specifications, benchmarks, or pricing are given in the post itself.
Unsloth AI@UnslothAIOfficialAI score62AIGoogle released EmbeddingGemma 2, a 740M-parameter open embedding model under Apache 2.0 that combines a 270M text model with vision (170M) and audio (300M) encoders. The 270M text model can run locally with 0.5GB of RAM, and the full multimodal model with 1GB, and Unsloth provides GGUF files and fine-tuning support.
Google Gemma@googlegemmaOfficialAI score14AIGoogle's Gemma account announces EmbeddingGemma 2, pointing readers to a blog post and documentation for details. The post itself provides no specifications, benchmarks, or pricing.
Google Gemma@googlegemmaOfficialAI score62AIGoogle Gemma announces EmbeddingGemma 2, a lightweight embedding model that maps text, code, images, video, and audio into a single unified embedding space. The model has a 740M parameter form factor with modular encoders, Matryoshka Representation Learning dimensions from 768 down to 128, and an 8K context window that is 4x larger than the text-only EmbeddingGemma. It is released under the commercially permissive Apache 2.0 license.
Google for Developers@googledevsOfficialAI score36AIGoogle has released the weights for EmbeddingGemma 2 on Hugging Face and Kaggle. The release includes out-of-the-box support for LiteRT, MediaPipe, LangChain, and LlamaIndex.
Sophia Yang@sophiamyangXAI score14AISophia Yang, Mistral's account owner, says this looks like a strong open-source AI week, citing Reflection AI's Beam on Monday and Mistral Large 4 on Tuesday. She notes more releases are coming this week without naming them.
AIGoogle DeepMind has released EmbeddingGemma 2, a 740-million-parameter embedding model that maps text, images, audio, and video into a shared space and runs on local hardware under an Apache 2.0 license. Matryoshka Representation Learning lets developers truncate output vectors from 768 dimensions to 512, 256, or 128, and the model supports an 8K-token context window. The model weights are available on Hugging Face and Kaggle, with Gemini Enterprise Agent Platform availability coming soon.
Why it matters: The release shows how a 740M-parameter multimodal embedder runs locally with a 768-to-128 dimension truncation option, useful for judging on-device retrieval designs.
ARC Prize@arcprizeOfficialAI score22AIARC Prize has published full DeepSeek V4.1 Flash results on its public leaderboard, alongside the benchmark code and testing policy needed to reproduce them. The post links to the complete results page for the model. No benchmark scores are stated in the post itself.
0xMarioNawfal@RoundtableSpaceXAI score41AIAn unnamed developer has open-sourced OpenWork, a tool letting AI agents work directly on files on a user's computer. It supports cloud or local models and existing skills, plugins, and MCP servers.
merve@mervenoyannXPickAI score72AIMistral announced Mistral Large 4, which it describes as a natively multimodal model with 1T parameters and 49B active. Mistral says it is available via API now, with open weights to follow at the end of October, and a Hugging Face page is listed for the release.
Why it matters: The quoted Mistral announcement gives specific size, activation, and API details, and the open-weights timing matters for teams weighing open model options.
dex@dexhorthyXAI score22AIDex Horthy reports that /show-me has been incorporated into the official Amp Code plugins. A linked GitHub pull request in the ampcode/official-plugins repository is referenced as the relevant change.
clem 🤗@ClementDelangueXAI score35AIClément Delangue of Hugging Face shared a link to a Hugging Face model page for mistralai/Mistral-Large-4.0-1T05-A52B. The post itself gives no further details about the model's capabilities, release terms, or benchmarks.
Kilo (acq. by Anaconda)@kilocodeOfficialAI score4AIKilo (@kilocode) posts a link to a video walkthrough on YouTube. The post provides no further details about the product or features shown.
vLLM@vllm_projectOfficialAI score47AIvLLM-Omni now supports Kandinsky 6.0 Video from launch day, with inference ready at release. Kandinsky 6.0 Video generates 5-second clips with synchronized audio and lip-sync from text or image inputs. Kandinsky's code and checkpoints are released under the MIT license, with Lite (3B) and Pro (29B) variants.
AIDeveloper Niko1221 has open-sourced Strata, an engine that runs a quantized 125B-parameter Qwen3.8-Flash-Next model on consumer GPUs with at least 12GB of VRAM. Strata loads the MoE model into RAM and keeps only frequently used experts in VRAM, and uses a lightweight model for speculative decoding. On an NVIDIA RTX 5070 with 12GB VRAM, the Q2_0 quantization reaches 94 tokens per second for output.
AIReflection announced Beam, a text-only 501B-total, 23B-active MoE model for coding, agentic, and scientific work, trained from scratch with full weights under Apache 2.0 promised this month. Self-reported results include 80.9 on SWE-bench Verified and 3–4x the inference efficiency of GLM 5.2, while the roundup notes that GLM 5.3, Kimi K3, Qwen 3.8 Max, and DeepSeek V4.1 Flash are generally ahead.
AIClaude for Google Workspace is in public beta on all paid Claude plans, adding a sidebar to Google Docs, Sheets, and Slides. It can read the open file, edit text, build formulas, pivot tables, charts, and slides, and it asks for approval before changes unless the user chooses "Accept all edits." New Docs, Sheets, and Slides connectors in beta let Claude create and edit Google files from the chat, with access matching existing Google sharing permissions.
Why it matters: The source specifies how Claude edits Docs, Sheets, and Slides in place and where users keep control, which clarifies the practical workflow change.
Teknium 🪽@TekniumXAI score23AITeknium has created a catalog of open platform hardware and devices that Hermes Agent, or any agent, can build on, integrate with, or run inside. The post is a brief announcement that links to the catalog at with no further specifications or pricing given.
AIOpenAI says it will ship one meaningful Codex and Work improvement each day for 28 days starting October 5, or else offer a "reset" without specifying what that reset covers. The company also plans to test visual ads in ChatGPT image generation in the U.S. starting in late October, with ads kept separate from generated images and not affecting answers.
AIReflection AI, an Nvidia-backed startup, released Beam, its first open-weight large model, aimed at coding and agent tasks. The company says Beam is comparable to Z.ai's GLM-5.2 and is approaching Qwen3.8-Max on coding and agent work. Beam has 501 billion total parameters, with 23 billion activated per task in a sparse architecture.
AIGoogle released EmbeddingGemma 2, an open embedding model under the Apache 2.0 license that maps text, code, images, video, and audio into a shared 768-dimensional space. Developers can load a 270M-parameter text and code setup, or add vision and audio encoders up to a 740M-parameter full multimodal model. Matryoshka truncation to 256 or 128 dimensions reduces vector storage, with the guide noting quality losses on image, video, and speech retrieval at lower dimensions.
Why it matters: The guide gives concrete encoder sizes and dimension-storage tradeoffs, showing how to choose a configuration for text, code, image, video, and audio retrieval.
Together AI@togethercomputeOfficialAI score46AIReflection AI has introduced Beam, an open agentic model with 501B total parameters and 23B active, trained end-to-end from scratch. Full weights are slated for release this month. Together AI congratulated the team and is hosting a NYC meet-up with Reflection and NVIDIA next week.
AIClaude Code v2.1.290 adds serverToolUses to plugin turn.step results and agentId to tool.check hook events, so hooks can distinguish subagent permission checks. The release also adds a Deny button to the Claude apps gateway sign-in approval page, plus claude attach and claude logs accepting partial session names.
meng shao@shao__mengXAI score47AIReflection AI previewed Beam, an MoE open model with 501B total and 23B active parameters, claiming 3–4x better inference efficiency than GLM 5.2. The model was pretrained from scratch on 23.8T tokens in four weeks, and its RL run used 10,500 GB300 GPUs over four weeks, which the post describes as possibly the largest publicly recorded. Reflection positions Beam as a workhorse open model for enterprises, governments, and developers, with full weights due this month.
Matt Shumer@mattshumer_XAI score13AIMatt Shumer is building Hogwarts live on Spawn and invites others to help build it at a linked project page. The post gives no details on the tools, features, or scope of the build.