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Sherwin Wu@sherwinwuAI score46AIOpenAI's ChatGPT Voice can now use GPT-6 Astra, available to Pro users, for search and reasoning tasks. Users can select any model and effort level, and voice will use the chosen model when it needs to search or reason.
v0@v0AI score32v0@v0AI score33AIVercel integrations are coming directly to v0, with Resend, Amazon OpenSearch, MongoDB Atlas, Algolia, and Clerk now one click away from the chat. Setup is automatic and skills load automatically, so users can build without leaving v0.
LlamaIndex 🦙@llama_indexAI score23AILlamaIndex has made LlamaParse available in the ChatGPT plugin directory, following its earlier Claude integration. The connector parses scanned, table-heavy, and chart-filled documents into Markdown, JSON, or HTML, extracts fields into a user-defined schema, searches document collections, and classifies and splits files into sections.
RadixArk@radixarkAI score38AIRadixArk says its Miles framework natively supports SGLang for fast rollouts while keeping rollout and training aligned for reliable post-training at scale. The post thanks the community for contributions and feedback shaping Miles. A related post from @adarshxs describes Miles v0.1 running fully async agentic RL on a 744B MoE across 64 GB300 GPUs.
Kimi.ai@Kimi_MoonshotAI score36AIKimi has launched Remote Control in Kimi Work, letting users leave the app running on their computer and keep tasks moving from their phone. The post frames this as enabling users to work anywhere, anytime.
Perplexity Developers@perplexitydevsAI score30AIPerplexity says its Search API is now available in Hermes Agent, giving it access to an index of more than 400 billion URLs. The API returns real-time results with snippets ranked by relevance.
Ian Johnson 🔬🤖@enjalotAI score23AIIan Johnson (@enjalot) built a font generator after finding a cluster for each letter of the alphabet in his dataset, with Astra helping write the code. The tool is available as a Hugging Face Space and on GitHub, and the dataset includes SigLIP2 embeddings that allow concept search and clicking a result to jump to similar blocks.
Ian Johnson 🔬🤖@enjalotAI score22AIIan Johnson introduced Latent Craft, a new way to explore large datasets with UMAP, letting users fly through and collect images from them. The demo covers all 1 million images explorable in the browser, drawn from a dataset of 1,080,814 public domain images, mostly from 19th-century books, shared on the Hugging Face Hub.
AIGoogle announced general availability of ADK for Kotlin 1.0, a Kotlin Multiplatform framework for building AI agents on servers and Android. Version 1.0 reaches feature parity with ADK 1.0 Core and adds Android extensions for on-device models, cloud Gemini via Firebase AI Logic, and persistent sessions and memory with Room and AppSearch. The post includes a server-side incident triage example using KSP-generated tools and skills, plus an Android financial assistant example with human confirmation for transfers.
Why it matters: The post names the new Android and server-side capabilities and the code setup, helping Kotlin developers judge whether ADK fits their agent projects.
AIFactory is now available on the Claude Marketplace, letting enterprise customers apply their committed Anthropic spend toward its autonomous software development platform. The platform automates the software development lifecycle, covering planning, implementation, testing, and security within one system, with enterprise deployment options that keep execution close to customers' code and infrastructure.
Andy Jassy@ajassyAI score24AIAmazon is giving students a free full year of Kiro, its spec-driven coding agent, at 132 universities across 18 countries. The program aims to help students move from idea to working application, the same way teams at Delta, Ericsson, Siemens, and Amazon do.
Gemini Notebook@Gemini_NotebookAI score22AIGemini Notebook's upgraded experience is rolling out across all mobile devices this week, according to the account. Web users can opt in via Settings to be notified when their artifacts are ready, and after a Quiz, Chat can recommend what to study next or generate targeted flashcards for weak spots.
Replicate@replicateAI score46AIOpenAI's GPT Image 2.5 is now available on Replicate, offering precise image editing, sharper details, and higher consistency across multi-turn edits. Two model pages are provided, openai/gpt-image-2.5-sunburst and openai/gpt-image-2.5-flare.
AI at Meta@AIatMetaAI score34AIMeta launched Muse, a personal AI agent that learns about users over time, and published a deep dive on how safety was built into its system. The company says the agent holds substantial personal context, which is why it was designed to be secure, safe, and private. Full details are in the linked security write-up.
AI at Meta@AIatMetaPickAI score67AIMeta announced Muse, a personal AI agent designed to get things done for users across many parts of life. The product is powered by Muse Spark 1.3, and the post links to an app download and a page describing how Muse was built.
Why it matters: The announcement names Muse Spark 1.3 as the underlying model, giving readers a concrete product and model pairing to track.
Granola@meetgranolaAI score34AIGranola has added webhooks to its API, letting developers notify their systems or apps when a note is generated or edited. The notifications also cover notes shared with a user or added to a folder.
Werner Vogels@WernerAI score50AIWerner Vogels says that after spending time with Kiro Crew since its launch, its memory system stands out for deciding what to keep, compress, and let go. He notes that Amazon engineers, starting from engineering constraints, arrived at an approach resembling the brain's evolved architecture. Per the referenced post, Kiro Crew is a persistent workspace that retains project context across sessions and runs scheduled jobs.
Demis Hassabis@demishassabisPickAI score73AIDemis Hassabis announced AlphaGenome Atlas, a searchable AI database that maps the predicted impact of all 9 billion possible single-letter DNA changes. The post says it can help scientists better understand disease and is freely available for academic research.
Why it matters: The post describes a searchable database of predicted effects for all 9 billion single-letter DNA variants, which is useful for researchers tracing disease-related genetic changes.
Google Antigravity@antigravityAI score22AIGoogle Antigravity announces that Google DeepMind's science-skills is available for download on GitHub. The post includes a link to the google-deepmind/science-skills repository and no further details about its contents or features.
Sundar Pichai@sundarpichaiAI score60AIGoogle DeepMind has launched AlphaGenome Atlas, an AI-powered searchable database mapping the predicted impact of all 9 billion possible single-letter DNA changes. It runs in a regular web browser without coding and is free for academic researchers.
AIGoogle DeepMind introduced AlphaGenome Atlas, an AI-powered database charting the molecular impact of every possible genetic variant. Scientists are already using it to investigate unsolved rare diseases and map rare mutations linked to complex traits.
Why it matters: The source names a concrete use case, finding disease-causing DNA variants, which shows how the database could support rare disease research.
AIGoogle DeepMind has introduced AlphaGenome Atlas, a platform with predicted molecular effects for 9 billion single-nucleotide variants in the human genome. It is free for academic research through a web portal, and the AlphaGenome Variant Impact score condenses predictions from AlphaGenome and AlphaMissense into one number for ranking variants. The source says collaborators used it to identify variants in unsolved rare disease cases and to find rare non-coding variants linked to traits.
Why it matters: The source details how precomputed variant predictions, a single impact score, and linked feature attributions make genome-wide mutation effects searchable for researchers without coding skills.
AIGoogle DeepMind has released AlphaGenome Atlas, a web portal that predicts the regulatory effects of all 9 billion possible single-letter genetic changes in the human genome. The Atlas provides an AlphaGenome Variant Impact (AVI) score that combines coding and non-coding predictions to help researchers prioritize variants. The source says the portal requires no coding skills and is available to researchers and biologists worldwide.
Why it matters: The source details how the Atlas's AVI score is used in real rare disease and UK Biobank analyses, showing a practical route for prioritizing non-coding variants.
AIGoogle DeepMind has used AlphaGenome to predict the molecular impact of every possible single-letter change in the human genome, around nine billion variants. The resulting AlphaGenome Atlas is a 1PB dataset that assigns each variant an AlphaGenome Variant Impact (AVI) score, covering both coding and non-coding variations, and is available to researchers worldwide. The video notes that AlphaGenome has not been validated or approved for any clinical use.
Why it matters: The release supplies a precomputed impact score for every possible single-letter genome change, which lets researchers look up variants without running the model themselves.
Leandro von Werra@lvwerraAI score22AIHugging Face's Leandro von Werra asked Astra to build an interactive star map for his old telescope, and Astra also built a full simulator while a missing cable delays connecting the telescope to the dashboard. The simulator is available as a Hugging Face Space at The post does not specify what Astra is.
Xiaomi MiMo@XiaomiMiMoAI score52AIXiaomi MiMo has launched MiMo Desktop in invite-only beta, a desktop agent that turns Office files, images, video, audio, and zips into finished, editable output. Invitees also get limited access to next-gen MiMo models, and the post lists features including live previews, region-based editing with versioned rollback, automatic model routing, and browser and computer use with record and replay.
Satya Nadella@satyanadellaAI score22AISatya Nadella highlights Opal, the technology behind one of Microsoft's new Autopilot experiences, now available in Frontier rings and coming to Copilot soon. The post links to a Microsoft Tech Community blog introducing Project Opal as a new way to complete task-based work.
Satya Nadella@satyanadellaAI score34AISatya Nadella says Microsoft is bringing new models into Copilot to handle increasingly complex work, from quick questions to delegated tasks and complete long-running jobs via Autopilots. As an example, an Opal-powered Autopilot on a secure Windows 365 Cloud PC sorts a month of trail cam footage, extracts species sightings, and builds a highlight reel, spreadsheet, PowerPoint, and Teams share.
AIOpenBMB released UltraData-Code-L2-Classifier, a suite of language-specific file-level scorers for 11 programming languages in UltraData-Code-L1. The L2 corpus selected with these scorers contains approximately 400B tokens and retains about 12.23% of L1 files, and a 10B-token test on a 1B model raised EvalPlus pass@1 by 7.80 points over L1 training.
Matei Zaharia@matei_zahariaAI score46AIA Berkeley Sky Lab researcher says stronger open models and new inference systems will make powerful local AI practical. The linked post reports Qwen3.8-Flash-Next running at 68.3 tok/s on a single RTX 5090 using an NVFP4 checkpoint, with 63GB host RAM and a 51GB n-gram table stored on NVMe at about 0.5% throughput cost.
v0@v0AI score40AIv0 has made GPT-6 Astra available on its platform, according to the announcement. Users can try it at v0.app.
Mustafa Suleyman@mustafasuleymanAI score25AIMicrosoft's MAI-Image-2.6-Flash is now available in Microsoft Foundry and the MAI Playground. The post links to a Foundry model card for details, but gives no further specifications, pricing, or benchmarks.
Daniel Han@danielhanchenAI score49AIUnsloth Desktop now runs GLM-5.3-Flash GGUFs out of the box with faster inference, enabling MTP and faster long-context decoding. The quoted Unsloth post reports local GGUF inference 1.6–3.4× faster with optimized decoding and multi-token prediction, and 3-bit runs on 128GB setups.
AIxAI built a Grok-powered procurement agent, Haggle Bot, that audits vendor spend, flags unused SaaS seats, and prepares renewal negotiations. The Bot has identified more than $100,000 in direct savings, including $14,220 from 43 unused seats of one SaaS product and $85,662 a year in unused SKUs from another. A person still approves any spending, contract terms, or messages sent to vendors.
Michael Truell@mntruellAI score47AIxAI has released Grok Bot for enterprise today, and it is free for all Grok and Cursor enterprise customers for the next two weeks. Cursor's Michael Truell says deployments have felt like onboarding thousands of capable teammates, calling it the most internally adopted and most powerful AI product the company has seen so far.
Gamma@GammaAppAI score22AIGamma says its API now lets users search their entire library of gammas, ranking results by relevance across both titles and full body text. Users can prompt from Claude, ChatGPT, or other connected chats, filter by creator or last-updated date, include archived work, and open results via direct links. The feature is rolling out gradually starting today.
Daniel Han@danielhanchenAI score34AIHermes now includes a local backend that runs Unsloth UD-Q4_K_XL and UD-Q4_K_M quants for DeepSeek-V4-Flash, Qwen3.8-27B, Qwen3.6-35B-A3B, and Qwen3.8-Flash-Next. The post says these models can be run locally in one click, with Unsloth GGUFs supported.
Unsloth AI@UnslothAIAI score34AIUnsloth GGUF models, including Qwen3.8-27B, Qwen3.8-Flash, and DeepSeek-V4-Flash, can now be run locally in one click through Hermes. Hermes Desktop automatically reads hardware, selects a suitable model, downloads it, and configures the runtime.
RadixArk@radixarkAI score22AIRadixArk says Miles makes frontier post-training simple to use, easy to extend, and accessible to every team. The company is open-sourcing the project on GitHub as an RL-as-a-service tool for post-training.