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Introducing LFM3: Every Modality for Specialized Intelligence
Liquid AI releases LFM3, an open-weight family of 2B-class models (text, vision, audio, omni and decision) built on one new tri-hybrid backbone pre-trained on 22T tokens; LFM3-1.7B beats the larger LFM2.5-2.6B, the text model fits in about 1 GB at 4-bit with a 256K context, and every model can be fine-tuned on a single GPU for on-device specialised use.
20 min · 4,683 words
Zero-Shot to New Robots: Introducing Dream-1
Dream Labs comes out of stealth with $90M in seed funding and releases Dream-1, a World Action Model offered through a public API that controls bimanual parallel-gripper robots it was never trained on, zero-shot, from $3/hour, with fine-tuning-as-a-service for robots further from its training data and a candid look at its limits.
15 min · 3,417 words
Introducing Clairic, a new System One class of extraction models
Cloudflare previews Clairic, a System One-style extraction model on Workers AI that extracts, computes, estimates and forecasts values from unstructured text and images with higher accuracy, lower latency and lower cost than general LLMs, with worked examples, how requests work, and plans to release open weights.
18 min · 4,046 words
Diffusion at Scale: Introducing Mercury 3
Inception introduces Mercury 3, a diffusion-based LLM more than 40x larger than Mercury 1 that it says matches or beats speed-optimized frontier models while running at over 1,000 tokens per second, with a 1M-token context, low per-token pricing, and early production use in browser agents, tutoring, search and support.
4 min · 888 words
Moondream is joining Prime Intellect
Moondream announces it is joining Prime Intellect: models stay open, get Prime’s training stack, and Moondream Cloud shuts down November 13, 2026 with unspent credits refunded and migration help.
1 min · 255 words
Introducing Glimpse: Visual thinking that stays grounded
Elorian introduces Glimpse, a research-preview visual thinking model that reasons directly with visual evidence: it zooms into regions, rewatches video intervals, tracks objects through motion and uses multimodal tools and subagents. Elorian reports frontier-level multimodal benchmark results at $0.60/$3.00 per million input/output tokens.
12 min · 2,751 words
Reflection releases the weights of Beam, its first open-weight model, a 501B-parameter sparse Mixture-of-Experts with 23B active parameters, on Hugging Face under Apache 2.0, with a model card and safety technical report. The post covers early developer demos, BF16/FP8/NVFP4 builds, the open-source Mirror CLI harness, fine-tuning and RL recipes, and more than 40 launch partners.
6 min · 1,393 words
Welcome Beam: a 501B open model you can own, customize, and scale
context window of 1M tokens, and is released under the Apache 2.0 license. Beam is focused on coding and agentic use cases. It is for teams that want a frontier-scale model on their own hardware, infrastructure, or cloud, and want to customize it to their own use cases. Beam ships with its own dedicated open source Rust based harness that delivers the best performance from the model.
18 min · 4,113 words
Black Forest Labs releases FLUX 3 Image Klein, a 5.6B-parameter open weights model for text-to-image generation, editing and multi-reference generation with up to 10 references, with native 4K output and bounding-box control. It ships base and step-distilled checkpoints plus FP8, INT8 and NVFP4 builds under the FLUX Kommunity License, and is available through the BFL API.
5 min · 1,130 words
Introducing Timestral: Mistral's time-series foundation models
Mistral releases Timestral, its first family of time-series foundation models in four sizes from 5M to 209M parameters. The largest ranks first on GIFT-Eval, TIME and fev-bench, delivers probabilistic multivariate forecasts with past and known-future covariates, runs efficiently on CPU, and ships under a modified MIT licence.
6 min · 1,385 words
Introducing Muse Spark Open, The Most Capable US Open-Weight Model to Date
Meta Superintelligence Labs releases the weights of Muse Spark Open, a natively multimodal 816B-parameter (42B active) model with a 1M-token context window built for coding and agentic work. It runs on two Apple M5 Ultra Mac Studios via MLX, is offered through hosted inference partners and major model hubs, ships with Helion GPU kernels for SGLang, and is released under the Muse Model License after safety evaluation.
3 min · 644 words
LFM2.5-24B-A2B: Built for Fast On-Device Agents
Liquid AI releases LFM2.5-24B-A2B, an open-weight 24B-parameter reasoning model with 2B active parameters aimed at fast, private on-device agents. The post covers changes since LFM2-24B-A2B, agentic and tool-use benchmarks against Qwen3.6-35B-A3B, inference speed on Apple and NVIDIA hardware, and how to get started.
6 min · 1,330 words
Frontier Models for Every Robot: Announcing our API beta
Physical Intelligence opens a beta of the Pi API, letting robotics developers upload data, fine-tune its latest robot foundation models on managed compute and run cloud-hosted inference on their own hardware, and shares results from early partners deploying it across different tasks, robots and industries.
3 min · 707 words
Indra OCR: a 1M-parameter OCR model that reads 49 pages per second on CPU
Datalab releases Indra OCR, an open OCR package built around a 1M-parameter recognition model that reads 49 pages per second on 32 CPU cores, 11-17x faster than Tesseract and PP-OCR, while returning full layout with line and block boxes, labels, reading order and clean markdown or JSON output.
7 min · 1,500 words
Announcing pg_vectorsearch: Scalable Open-Source Vector Search in PostgreSQL
Tiger Data launches pg_vectorsearch, an open-source PostgreSQL extension whose PRISM index uses partitioning and compression instead of HNSW graphs to deliver faster vector queries with far less memory and quicker index builds.
11 min · 2,613 words
Microsoft-Decision-1: Our model for fast decision-making
Microsoft introduces Microsoft-Decision-1, a decision-scoring model in Foundry built to return structured outputs software can act on immediately, and reports that it leads on latency and quality across structured decision tasks against LLMs and other decision models.
6 min · 1,358 words
$50K First Letters Prize awarded for PHerc 343
The Vesuvius Challenge awards a $50K First Letters Prize to Erwin Nieuwlaar for virtually unwrapping and detecting ink in PHerc. 343, revealing the first text read from this still-rolled Herculaneum scroll since AD 79. Papyrologists read a Greek sequence likely meaning 'everything that happens' and discuss possible references to music.
4 min · 975 words
Zephon: Fast, Flexible, Elastically Deterministic Data Loading
DatologyAI open-sources Zephon, a data loader for text and multimodal foundation model training that tokenizes, packs and mixes data on the fly while keeping the exact same sequence of global batches when GPU count, operator parallelism or execution backend change. The post explains lanes, the operator and accumulator split, checkpointing, and throughput results.
19 min · 4,359 words
EmbeddingGemma 2: an open, lightweight multimodal embedding model
Google launches EmbeddingGemma 2, a 740M-parameter Apache 2.0 embedding model built on Gemma 4 that puts text, code, images, video and audio in one embedding space, with modular encoders, Matryoshka truncation, an 8K context window and on-device RAM use as low as about 191MB for text-only weights.
3 min · 668 words
Introducing Beam: Reflection’s 501B open-weight model
Reflection introduces Beam, its first open-weight model: a sparse Mixture-of-Experts with 501 billion total and 23 billion active parameters, pretrained on 23.8 trillion tokens and trained with large-scale reinforcement learning for coding and agentic work, with Apache 2.0 weights, a technical report, and a model card promised later this month.
12 min · 2,858 words