Poolside AI
PulseAugur coverage of Poolside AI — every cluster mentioning Poolside AI across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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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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Open AI Models Lag Frontier Closed Models, Benchmarks Debated
Several leading AI labs have released new open-source models, including DeepSeek V4, Gemma 4, Kimi K2.6, and MiMo 2.5. An assessment by CAISI suggests these open models lag behind frontier closed models, with the gap wi…
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Blog post critiques AI benchmark hacking
A blog post on Poolside.ai critiques the practice of "benchmark hacking" in AI development. It argues that the focus on optimizing models for specific benchmarks can lead to systems that perform well on tests but fail i…
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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…