Mistral AI Releases Mistral Large 4 (Le Chonk): A 1.05T Parameter Multimodal MoE Model
Mistral AI has released Mistral Large 4, nicknamed Le Chonk, as a public preview. It is a 1.05 trillion parameter Mixture of Experts model with 49 billion active parameters, native image input, and a 1 million token context window, trained on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's own Europe...
Mirror Particle is building a ‘world model’ of human behavior
Mirror Particle will launch at TechCrunch Disrupt Startup Battlefield with a world model built from scratch to predict human behavior, arguing LLM roleplay falls short for market research and brand strategy.
Anthropic is giving startups a free year of Claude Team and $1,000 in credits
"We created this program because we believe the benefits of AI will reach most people through the companies that build on top of models, rather than through the models alone."
Pinterest’s AI now turns beauty Pins into action plans
Pinterest’s new AI-powered Beauty Guides translate hair and nail Pins into salon terminology, with estimated costs, appointment times and maintenance needs.
6 questions that expose agent washing in any AI vendor demo
Vendor demos are rehearsed performances. Production is improv night with a hostile crowd. These six questions reveal whether an AI agent can reason, escalate, and hold up on your own messy data before the procurement paperwork lands.
Reka Releases Rho-1: A 19B Omni-Reasoning Model That Understands, Generates Video and Outputs Robot Actions in One
Reka has released Rho-1, a 19B omni-reasoning model trained from scratch. One network reads and generates text, images, video and robot actions over a shared KV cache. A distilled variant returns a 5.3-second clip in about a second. It is a research preview with no public weights yet.
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Beyond Domain-Specific World Models: JEPA-Anything Uses 1 Recipe for 7 Fields
JEPA-Anything splits a JEPA's single latent target into 4 orthogonal factors, each with its own predictor. Tested across 7 domains, it beat matched JEPA baselines on all 10 dynamics tasks and cut Interventional Pong intervention error by 34.8%.
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Meet Together Link: A Free CLI That Runs Open Models Like Kimi K3 and GLM 5.3 Inside Claude Code, Codex, and OpenCode
Together AI has released Together Link, a free, MIT-licensed CLI that connects Claude Code, Codex, OpenCode, Pi, and the Claude and ChatGPT desktop apps to open models like Kimi K3 and GLM 5.3. One install command sets it up, and an Auto router picks a model for each session. Together claims savings...
Building a Streaming Robotics Learning Pipeline Using NVIDIA Cosmos3-DROID
Discover how to construct an end-to-end streaming robotics learning pipeline using the NVIDIA Cosmos3-DROID dataset without local downloads, leveraging byte-range Parquet reads, behavior cloning, and temporal ensembling.
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Reflection AI Introduces Beam: A 501B Open-Weight MoE Model With 23B Active Parameters for Coding and Agentic Workloads
Reflection AI has introduced Beam, its first open-weight model. It is a 501B sparse Mixture-of-Experts model with 23B active parameters, built for coding and agentic work. Reflection says it matches GLM-5.2 on reasoning with 3 to 4x less inference compute. Apache 2.0 weights are due later in October...
Reflection debuts Beam, an open-weight AI model to rival Chinese models at lower compute cost
Nvidia-backed Reflection AI unveils Beam, its first open-weight model, which it says rivals GLM-5.2 on reasoning with far less inference compute. Weights are due this month.
Instinct brings its AI agent to group chats, even for friends without an account
Instinct is launching group chats that let friends use its AI agent together for tasks like planning trips, organizing carpools, and coordinating events. The company says personal accounts remain separate, with permission required before personal agents share information or take action.
Open or closed AI? How founders are choosing what to build on at TechCrunch Disrupt 2026
Learn how founders are choosing between building on open or closed AI at TechCrunch Disrupt 2026. Register now to save up to $100 and get a second pass at 50% off.
The Story of Qwen: Alibaba’s AI Models From 7B to 2.4T
Alibaba's Qwen went from an invite-only chatbot in April 2023 to a 2.4-trillion-parameter open-weight model in August 2026. This is the full story, release by release: every major model, its key feature, and how its license changed. Each claim links to its source.
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Can an Open Model Do Security Research? Cantina’s apex-flash-1 Solves 40 of 60 Held-Out Bug Tasks
Cantina Security, with Yeta Labs, has released apex-flash-1, an open-weights model trained specifically for vulnerability research. It is a reinforcement learning fine-tune of Z.ai’s GLM-5.3-Flash, released on Hugging Face under the MIT license. Is it deployable? Yes, the MIT weights serve on vLLM, ...