Models & Releases

OpenBMB Releases MiniCPM5-2B: A 2.52B Dense Model Averaging 53.9 Across 34 Benchmarks and Built to Run On Device

OpenBMB has released MiniCPM5-2B, the second checkpoint in the MiniCPM5 series and the follow-up to MiniCPM5-1B. It is a dense causal language model with 2,516,756,480 parameters, of which 1,981,982,720 sit outside the embeddings. It uses 42 layers, grouped-query attention with 16 query heads and 2 key/value heads, and a native context window of 131,072 tokens. The architecture is standard LlamaForCausalLM, so mainstream engines load it with no custom kernels and no model-code fork. Is it de

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OpenBMB has released MiniCPM5-2B, a small language model with 2.52 billion parameters that can run on devices using standard software frameworks without requiring custom modifications. The model averages a score of 53.9 across 34 benchmarks, performing particularly well on tool use and coding tasks while being weaker on general knowledge compared to larger models. It was trained using a three-stage approach combining supervised fine-tuning on 400 billion tokens, specialized reinforcement learning teachers for different task types, and a final on-policy distillation step that merges multiple expert models. The release includes the model weights under an open license along with the training datasets and intermediate checkpoints, allowing others to verify the development process and reproduce results.

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Anthropic releases new Mythos and Fable models amid RSI concerns

Anthropic says the new models "show improvements in areas like coding, reasoning, and vision," as well as in communicating more clearly with users.

Also reported by The Verge, SiliconANGLE and MarkTechPost

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Google Launches Gemini Decisions API With Gemini Decision 1 at $0.10/M Tokens

Google has launched the Gemini Decisions API, powered by a new model, Gemini Decision 1 (gemini-decision-1). The Gemini Decisions API does not generate text. It scores up to 1,000 typed questions against one shared input and returns calibrated probabilities. For developers, this targets the small branching calls inside agents: routing, policy checks, tool selection and grading. Google prices it at $0.10 per 1M input tokens, with zero output tokens billed. TL;DR Size: Context is 262,144 t

Also reported by SiliconANGLE

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Google releases Gemini 4 Carbon with agent ‘swarm’ feature

Google is rolling out its latest AI model, Gemini 4 Carbon, to the general public after releasing it to a select group of "cybersecurity defenders" two weeks ago. Google claims Carbon is its "strongest model" yet, and capable of competing with the very best systems from Anthropic and OpenAI. Google says Gemini 4 Carbon "pushes the frontier even further" than Argon, referring to the company's other frontier model that launched only last month. The company said Argon will likely

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Gemini 4 Carbon is now available

The latest version aims to deliver improved performance while reducing the computational resources and energy required for AI operations.

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Introducing AlphaProof Code: a breakthrough in verifying complex software at depth

AlphaProof Code agents wrote three million lines of proofs in Lean to verify Signal’s core encryption.

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NVIDIA launches GR00T 2 and Isaac Lab 3.0 at CoRL

A range of developers, including RLWRLD, Skild AI, and Flexion, are already using NVIDIA’s latest technology. | Source: NVIDIA NVIDIA Corp. today introduced GR00T 2, its updated open frontier world action model, and Isaac Lab 3.0, the latest version of its open-source robot learning framework. The company made these announcements at the Conference on Robot Learning, or CoRL, in Austin, Texas. NVIDIA also gave a look at how its partners, like Ambi Robotics, Bosch Research, Dexmate, Dyna Rob