3+ mon, 6+ day ago   (671+ words) Harness-1 reaches 0.730 average curated recall across eight benchmarks, trailing only Opus-4.6 among the searchers tested. Their answer is Harness-1, a 20B retrieval subagent built on gpt-oss-20b. It was trained with reinforcement learning inside a stateful search harness. The harness holds the…...

4+ mon, 3+ week ago   (883+ words) Hugging Face has released ml-intern, an open-source AI agent designed to automate end-to-end post-training workflows for large language models (LLMs). Built on the company’s smolagents framework, the tool can autonomously perform literature review, dataset discovery, training script execution, and iterative…...

5+ mon, 1+ week ago   (334+ words) In the current landscape of generative AI, the ‘scaling laws’ have generally dictated that more parameters equal more intelligence. However, Liquid AI is challenging this convention with the release of LFM2.5-350M. This model is actually a technical case study in intelligence…...

5+ mon, 3+ week ago   (232+ words) We install the required libraries and import all the modules needed for the reinforcement learning pipeline. We initialize the environment, define the neural network architecture using Haiku, and set up the Q-network that predicts action values. We also initialize the…...

5+ mon, 3+ week ago   (971+ words) Mistral AI has released Mistral Small 4, a new model in the Mistral Small family designed to consolidate several previously separate capabilities into a single deployment target. Mistral team describes Small 4 as its first model to combine the roles associated with…...

7+ mon, 2+ week ago   (317+ words) K2 V2 is a dense decoder only transformer with 80 layers, hidden size 8192, and 64 attention heads with grouped query attention and rotary position embeddings. It is trained on around 12 trillion tokens drawn from the TxT360 corpus and related curated datasets that cover web text,…...

8+ mon, 2+ day ago   (176+ words) The SETA code repository showcases a Terminal Toolkit that turns a language model into an executable terminal agent. For each task run, the framework creates a structured log directory under evaluation/terminal_bench_run. The README page shows a concrete layout for a…...

8+ mon, 6+ day ago   (497+ words) Technology Innovation Institute (TII), Abu Dhabi, has released Falcon-H1R-7B, a 7B parameter reasoning specialized model that matches or exceeds many 14B to 47B reasoning models in math, code and general benchmarks, while staying compact and efficient. It builds on Falcon H1 7B Base and is…...

9+ mon, 13+ hour ago   (308+ words) Can a 3B model deliver 30B class reasoning by fixing the training recipe instead of scaling parameters? Nanbeige LLM Lab at Boss Zhipin has released Nanbeige4-3B, a 3B parameter small language model family trained with an unusually heavy emphasis on data quality, curriculum scheduling,…...

9+ mon, 1+ week ago   (357+ words) Both DeepSeek-V3.2 and DeepSeek-V3.2-Speciale use the DeepSeek-V3 Mixture of Experts transformer with about 671B total parameters and 37B active parameters per token, inherited from V3.1 Terminus. The only structural change is DeepSeek Sparse Attention, introduced through continued pre-training. DeepSeek Sparse Attention splits…...