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Thariq@trq212XAI score58AIClaude Projects cloud sessions can now connect to a folder the user approves on their computer. The session stays in the cloud and reads or edits files in place only when a task requires it, with rollout starting today and coming to Cowork as well.
A.I.Warper@AIWarperXAI score42AITencent has open-sourced a new video model called Prism, according to the post. The poster says the previews look solid, with a Hugging Face link provided for access.
Noah Zweben@noahzwebenXAI score40AIClaude can be added to Slack group DMs the same way as any other member. It answers in a thread and keeps following that thread, so anyone in the DM can reply to it there. It can also use the personal connectors of whoever asks.
Dongxi NLP@dongxi_nlpXAI score60AIThe author says Beam, a 501B-parameter open model from Reflection AI, comes close to GLM 5.2 in capability but trails GLM 5.3, Kimi K3, and DeepSeek V4.1 Flash in several areas. The author attributes Beam's competitiveness mainly to inference efficiency, with inference compute at roughly one-third to one-quarter of GLM 5.2's.
AIGoogle Research released a workshop report, "Open and Emergent Problems in Agentic Privacy and Security: A Contextual Angle," compiled by more than 50 academic and industry leaders from the Google Contextual Agent Privacy and Security (CAPS) Workshop held in late 2025 in New York City.
Sophia Yang@sophiamyangXPickAI score62AISophia Yang congratulated Reflection AI on Beam, a 501B-parameter open model with 23B active per token. She attributes its efficiency to an RL length penalty that discourages unnecessary tokens and a sparse MoE architecture. Reflection says full weights will be released this month, and the quoted post reports training over 100 million rollouts on 10.5K NVIDIA GB300 GPUs over four weeks.
Why it matters: The post explains Beam's efficiency through an RL length penalty and sparse MoE design, with benchmark charts comparing it against other open models.
Lydia Hallie ✨@lydiahallieXAI score46AIAnthropic's Cowork will run tasks in the cloud instead of on users' local machines starting tomorrow. Tasks can still access files and tools on the user's computer, limited to folders explicitly added to the session.
AIPyTorch moves all image, video, and audio decoding and encoding into TorchCodec, which handles CPU and CUDA. TorchVision and TorchAudio now focus on transforms, and the older decoding APIs in both libraries are deprecated or removed. All three libraries are now ABI stable, so they no longer need rebuilding for each PyTorch release.
Amir Efrati@amirXAI score34AIMicrosoft and Meta, two of Anthropic's biggest customers, are making progress in reducing what they pay for Claude. The post is brief and gives no specific figures, savings amounts, or methods.
Harrison Chase@hwchase17XAI score50AIHarrison Chase praises Cognition's "Dreaming" feature, which lets Devin clean stale memory records and surface latent information offline. He argues agent memory needs an offline cleanup loop rather than only better retrieval, and questions how inferred memories get validated before use. He also welcomes Cognition's plan to release Agent Memory Repo as an open standard.
NVIDIA AI@NVIDIAAIOfficialAI score39AINVIDIA has published Nemotron-Labs-3-Competitive-Coding on Hugging Face, a competitive-programming specialist model built on Nemotron-3-Ultra. The model is available in the NVIDIA-Nemotron-Labs-3-Competitive-Coding-550B-A55B-NVFP4 repository, indicating a 550B-parameter total size with 55B active parameters in NVFP4 format.
clem 🤗@ClementDelangueXPickAI score72AIReflection AI introduced Beam, an agentic open model with 501B total parameters and 23B active parameters, trained end-to-end from scratch. The quoted announcement says it targets frontier reasoning efficiency and coding and agentic tasks, with full weights due this month. Clément Delangue, Hugging Face's CEO, reposted it with a welcome to the Reflection organization on Hugging Face.
Why it matters: The quoted announcement names Beam's parameter scale, active-parameter count, and coding and agentic focus, which helps readers gauge where it fits among open models.
ollama@ollamaOfficialAI score46AIOllama says it is excited about a new open model from Reflection AI and that more US models are coming to Ollama. Reflection AI's Beam is described as an agentic open model with 501B total parameters and 23B active, with full weights due this month.
Alexander Doria@DorialexanderXAI score23AIAlexander Doria argues that sandboxes are the new tokens, a claim presented without elaboration. The post quotes Reflection AI's introduction of Beam, an agentic open model with 501B total parameters and 23B active, with full weights to be released this month.
Georgi Gerganov@ggerganovXAI score36AIThe llama.cpp v0.6.0 release adds Clef support for text and vision, along with high-quality support for Qwen3.8-Flash-Next. It also brings a major Metal performance improvement and a new llama_batch_ext API, and the project website at llama.app has been refreshed.
Nathan Lambert@natolambertXAI score43AIReflection AI has introduced Beam, an open agentic model with 501B total parameters and 23B active, trained end-to-end from scratch. The company says Beam advances the Western open frontier on coding and agentic tasks, with full weights set for release this month.
Reflection@reflection_aiOfficialAI score23AIReflection AI says its Beam model was pretrained in 4 weeks on 24T high-quality tokens, giving it innate coding capabilities. The company credits MoE stability improvements and large-scale data curation and deduplication for a base model it claims outperforms open-source base models of the same class. It presents this strong reasoning foundation as what makes sustained reinforcement learning gains possible.
Reflection@reflection_aiOfficialAI score42AIReflection AI says its Beam model, with a 500B form factor, combines strong agentic performance and efficient reasoning for enterprises, governments, and developers. Beam is in final red-teaming and will be released this month under an Apache 2.0 license, with quantized FP8 and NVFP4 versions for efficient deployment. Early access sign-ups are open on the company's platform.
Alex Heath@alexeheathXAI score52AIReflection is set to release Beam, its first open-weight AI model, aiming to become a Western counterpart to DeepSeek. The source says Beam is trained from scratch for coding, reasoning, and AI agents, with benchmarks placing it alongside the strongest open models and more efficient token economics. Reflection has raised $4.6 billion from investors including Nvidia, Sequoia, and Lightspeed, and the interview covers its monetization plans for open-weight models.
Gergely Orosz@GergelyOroszXAI score35AIGergely Orosz says many coding agents seem to follow a "YOLO" product strategy, with rapid week-over-week change learned about through random social media posts. He notes this makes some sense given how quickly the industry and capabilities keep changing. Quoted context reports that Anthropic is removing Cowork's local option for Pro/Max users, with new tasks running in the cloud while existing local tasks stay on the computer.
Google for Developers@googledevsOfficialAI score20AIGoogle for Developers highlights Art Codec, an interactive web experience built by @soumyadesign in Google AI Studio. It lets users explore classic masterpieces through dynamic hotspots, motifs, and visual techniques.
Google for Developers@googledevsOfficialAI score30AIDeveloper @mwjoffe combined Antigravity with Lyria RealTime to create a 3D meadow in the browser that generates its adaptive soundtrack live. The demo showcases dynamic game audio, with music generated in real time as users interact with the scene.
Suno@sunoOfficialAI score29AISuno announces albums as a new feature for artists to present cohesive collections on the platform. The post introduces artists behind some of the first albums released on Suno, linking to a blog highlighting them.
Granola@meetgranolaOfficialAI score20AIGranola now automatically captures decks, designs, charts, and docs shared during meetings and adds them directly to users' notes. The feature lets users and their AI agents recall what was shown on screen, not just what was said.
Cognition@cognitionOfficialAI score58AICognition introduces Dreaming, a feature in which Devin builds a memory graph of how a user likes to work across sessions. At night, Devin self-improves this memory by removing stale records and discovering latent information. Cognition also says it is creating an open-source standard called Agent Memory Repo, linked in the post.
Cognition@cognitionOfficialAI score33AICognition introduced Agent Memory Repo, which stores memory records as files versioned with Git. The post says this simple primitive enables uses such as a message board shared across agent sessions.
OpenAI@OpenAIOfficialAI score38AIOpenAI says text watermarks are often undetectable in short passages and can be fully removed by rewriting or translating text. For now, only approved researchers will get access to its detector so they can help evaluate and improve the technology. OpenAI says it will keep testing and refining text watermarking with feedback from users, developers, policymakers, and researchers.
OpenAI@OpenAIOfficialAI score30AIOpenAI says it may give people a choice about text watermarking, which embeds an invisible statistical signal during generation to help show whether text was likely produced by an OpenAI model. The watermark does not reveal the text's author, owner, or any person, account, conversation, or prompt. In OpenAI's testing, watermarking did not affect model capability, speed, or response quality.
OpenAI@OpenAIOfficialAI score58AIOpenAI is extending its content provenance approach to text, starting with watermarking eligible text from ChatGPT and Codex in the EU over the coming weeks. The company says this is in response to EU AI Act requirements and acknowledges the significant limitations of current text watermarking technology. API customers can turn on text watermarking for select models worldwide starting today.
Vaibhav (VB) Srivastav@reach_vbXAI score42AIOpenAI has optimized inference for GPT-6 Astra and GPT-6.1 Sol, making them about 50% faster by default across subscription plans and Sign in with ChatGPT partners. The change requires no action from users and should be noticeable within two hours of rollout.
Liquid AI@liquidaiOfficialAI score24AILiquid AI's d1 picks the next move by reading game screenshots, without text versions of the board. In Tetris, adding the screen raised cleared lines from 70 to 81, and in Wordle it solved 12/12 games in an average of 3.8 guesses.
Liquid AI@liquidaiOfficialAI score37AILiquid AI released d1 with vision support, accepting images, text, or both as inputs. In tests on six real applications, d1 matched or beat GPT-6.1 Sol on four while costing 19x to 200x less than both GPT-6.1 Sol and Claude Opus 5.5. It returns probabilities for yes/no, choice, or score questions in one forward pass, with text decisions in 200 to 300 ms.
Liquid AI@liquidaiOfficialAI score36AILiquid AI's vision-enabled decision model d1 inspects parts directly from camera images and is described as the best such model currently on the market. It reaches 85% to 97% accuracy across four VisA inspection tasks covering circuit boards, candles, cashews, and chewing gum. It understands each task from a short description without task-specific training.
Nous Research@NousResearchOfficialAI score29AINous Research says Hermes Agent can handle far more than flight booking and points to a documentation page listing 326 use cases from real users. The post gives no further details about specific tasks or results.
AILiquidAI has released d1-omni-600M on Hugging Face, a 587M-parameter model that answers named yes/no, choice and score questions over text, images or up to 30 seconds of speech in a single forward pass. It returns typed answers with zero output tokens by reading the model's distribution over options, and is built on LFM2.5-Encoder-350M with a 16,384-token context length. The model is not a chat model and does not generate text.
Google Antigravity@antigravityOfficialAI score20AIGoogle Antigravity shared a demo of a mini self-generating forest made entirely of colorful pencil strokes, built with Gemini 3.8 from a sketch reference and a prompt. The quoted post says the result came from turning an art sketch into an exploratory mini game.
Google Antigravity@antigravityOfficialAI score23AIGoogle Antigravity has integrated the AlphaGenome Atlas Skill into its scientific workbench, enabling AI agents to help researchers prioritize genetic variants, generate structural plots, and build testable hypotheses. The company showcases researchers Natasha and Kyle using the tool in a demonstration video.
LiveKit@livekitOfficialAI score30AILiveKit Agents pairs MAI-Transcribe-2-Streaming for speech-to-text, Gemma 4 on LiveKit Inference for reasoning and tool calls, and MAI-Voice-2.1-Flash for speech output in a demo support call. The post links separate speech-to-text and text-to-speech resources for developers.
X.PIN@thexpinXAI score50AIHuawei's new multiyear patent agreement with Qualcomm would make Qualcomm the net payer for the first time, according to Nikkei Asia. The deal cross-licenses patents in 5G, computing, AI, and networking, and Qualcomm will also buy some of Huawei's U.S. patents outright. Financial terms have not been disclosed, and the transaction still requires regulatory approval.
Cursor@cursor_aiOfficialAI score28AICursor's SDK now supports steering and system prompts for local TypeScript agents. Background subagent results are returned locally in TypeScript and Python.