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Cohere@cohereOfficialAI score11AICohere says its headcount has more than doubled, from about 400 employees at the start of 2026 to over 800 now. The company is promoting a video with senior product manager Ana Cismaru about why she joined and what keeps her motivated, and says it is still hiring.
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.
Thariq@trq212XAI score14AIThariq from Anthropic asks users to install the html-plan plugin from the claude-community marketplace and send feedback. The post gives install commands for adding the anthropics/claude-plugins-community marketplace and installing html-plan@claude-community, plus a Claude artifact example.
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.
Reflection@reflection_aiOfficialAI score14AIReflection AI says its model Beam is 3-4x more efficient than GLM 5.2 and more than 4x more efficient than leading Western open models in inference. The company says this means Beam completes tasks faster and cheaper.
Goodfire@GoodfireAIOfficialAI score10AIGoodfire announced three talks at ICML on neural network representation geometry, including manifold steering, whether sparse autoencoders capture concept manifolds, and Llama's base-10 addition for cyclic concepts. The post gives session times and rooms but no findings beyond the paper titles.
Suno@sunoOfficialAI score4AISuno's X post introduces Old Soul, an album by Isaiah Wallace about the growing pains of getting older. Over warm acoustic guitar, the songs look back on evergreens, sweet tea, and late summer nights.
Suno@sunoOfficialAI score5AISuno introduces KakerMix, an album inspired by 1980s sounds, built from vintage synths, punchy electronic drums, and spacey reverb. The post links to the album on Suno.
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.
Google for Developers@googledevsOfficialAI score12AIGoogle is highlighting internal experiments and builds that its teams created using Gemini models, including interactive 3D worlds and real-time speech tools. The post is a short thread teaser that previews several favorite projects without giving specific technical details.
Suno@sunoOfficialAI score16AISuno now allows users who have been using playlists as albums to convert a playlist into an Album. The post links to a short video tutorial showing how to do it.
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.
Modal@modalOfficialAI score14AIModal's Runtime keynote is live and covers updates to Inference, Training, and Sandboxes. Announced items include Endpoint Candidates, Modal Clusters, VM Sandboxes, and Sandbox Sidecars, with more updates also promised.
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 score8AICognition published a blog post about memory and dreaming, linking readers to the full article at devin.ai. The post itself gives no further details, so its specific claims cannot be summarized from this source alone.
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 score13AILiquid AI has opened a live d1 Playground and a decision models page, with access also available through its Liquid API. Vercel and OpenRouter currently support text only, with vision support coming to both platforms soon.
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.
eric zakariasson@ericzakariassonXAI score18AIxAI's Grok bot now has a changelog listing every release since launch, covering what's new, improved, and fixed. An RSS feed is also available for programmatic access.
Luma@LumaLabsAIOfficialAI score3AILuma (@LumaLabsAI) posted a short call to action inviting readers to try Luma through a tracked app link. The post contains no details about features, models, pricing, or capabilities.
Luma@LumaLabsAIOfficialAI score12AILuma argues that a model alone has never made a film, and that the real work lies in getting new capabilities into creators' hands and ensuring they can use them. The post frames this delivery and usability as how research becomes part of the creative craft.
Ado@adocompleteXAI score8AIAdo Kukic, an Anthropic-affiliated account, posted an enthusiastic one-line message saying Go plus Opus 5.5 means "shipping." The post gives no details on features, benchmarks, or specific use cases.
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.
Prime Intellect@PrimeIntellectOfficialAI score13