Laguna-m.1
PulseAugur coverage of Laguna-m.1 — every cluster mentioning Laguna-m.1 across labs, papers, and developer communities, ranked by signal.
5 day(s) with sentiment data
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ik_llama.cpp adds support for Laguna M.1 GGUF model
A pull request has been submitted to the ik_llama.cpp repository to add support for the Laguna M.1 GGUF model. This update, identified as pull request #2003, aims to integrate the new model format into the existing code…
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Poolside releases Laguna M.1 open-source AI model
American AI company Poolside has released the weights for its Laguna M.1 model, making it available as an open-source model under the Apache 2.0 license. This model, previously available only via API, boasts a 256K cont…
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GLM-5.2 emerges as top open-weight AI model, rivaling GPT-5.5
The open-weight language model GLM-5.2 has garnered significant attention, with multiple sources indicating it performs comparably to frontier models like GPT-5.5 and Anthropic's Opus 4.8. This model features architectu…
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AI models Laguna M.1 and North Mini Code released, agent ecosystems discussed
Poolside AI has released the weights for its Laguna M.1 model, boasting a 256K context length. Separately, Cohere announced that its North Mini Code model is now supported on Ollama, enabling local execution with tools …
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AI model pricing sees major shifts; Z.ai cuts costs, new models emerge
AI pricing is seeing significant shifts, with Z.ai notably reducing its GLM 5.2 prompt and completion prices, offering substantial savings for high-volume users. Other providers like MoonshotAI and Qwen have also adjust…
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Poolside releases Laguna M.1, a 225B MoE model for agentic coding
Poolside has released Laguna M.1, a 225 billion parameter Mixture-of-Experts model optimized for agentic coding tasks. The model features a large sparse MoE architecture with 256 experts and global attention, enabling i…
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LLM agents struggle to patch security bugs, leaving vulnerabilities open
A new benchmark, CVE-Bench, was developed to evaluate LLM agents' ability to patch security vulnerabilities in Python projects. Across 18 projects and 20 real-world CVEs, the best performing models achieved only a 50% s…
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Laguna M.1/XS.2 Models Debut for Agentic Coding Tasks
Researchers have introduced Laguna M.1 and Laguna XS.2, two Mixture-of-Experts foundation models designed for long-horizon, agentic coding tasks. Laguna M.1 features 225.8 billion total parameters with 23.4 billion acti…
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AI Models Tested: Grok 4.3 Leads, Free Tiers Show Wild Variance
A recent test of ten AI models on coding tasks revealed significant performance disparities, particularly within free tiers. Grok 4.3 emerged as the top performer with an 81.6% success rate, while Perceptron Mk1 offered…
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Poolside AI releases open-weight agentic coding models Laguna XS.2 and M.1
Poolside AI has launched two new open-weight agentic coding models, Laguna XS.2 and M.1. The models achieved impressive scores on the SWE-bench Verified benchmark, with M.1 reaching 72.5% and XS.2 reaching 68.2%. The XS…
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Poolside AI releases open-weight Laguna XS.2 and M.1 coding models
Poolside AI has released two new agentic coding models, Laguna M.1 and Laguna XS.2, along with their agent training and operation runtime. Laguna M.1 is a large Mixture of Experts (MoE) model trained on 30T tokens using…