Poolside
PulseAugur coverage of Poolside — every cluster mentioning Poolside across labs, papers, and developer communities, ranked by signal.
- 2026-07-24 product_launch Poolside has released new models: Laguna XS 2.1 and Laguna S 2.1. source
7 day(s) with sentiment data
Poolside to release a quantized version of Laguna S 2.1 for enhanced consumer hardware performance
Given the recent research on LLM inference speed on consumer hardware and Poolside's focus on desktop-friendly models like Laguna S 2.1, it's plausible they will release a quantized version. This would further improve its performance on consumer hardware, making it even more competitive against larger models.
Poolside will leverage Laguna S 2.1's iterative strategy for enterprise solutions
The unique iterative refinement strategy of Laguna S 2.1, which allows it to outperform larger models and solve complex problems, is a strong differentiator. Poolside may aim to package this capability into an enterprise-grade solution, offering efficiency and cost-effectiveness for business applications.
Laguna S 2.1 shows promise as a planning agent beyond coding tasks
While primarily positioned as a coding model, Laguna S 2.1's benchmark performance as a browser-agent planner suggests its iterative refinement and problem-solving capabilities are transferable to other complex task domains. This could indicate a broader applicability for the model architecture.
Poolside's Laguna S 2.1 to be integrated into desktop IDEs within 6 months
Poolside's Laguna S 2.1 is explicitly designed for desktop use and has demonstrated strong coding performance, outperforming larger models. This suggests a clear path towards integration into popular Integrated Development Environments (IDEs) as a powerful, locally-run coding assistant. We predict this integration will be announced or become available within the next six months.
Poolside to release a quantized version of Laguna S 2.1 for broader consumer hardware compatibility
Given the recent research on LLM inference speed on consumer hardware and the trend towards smaller, efficient models, Poolside is likely to release a quantized version of Laguna S 2.1. This would further enhance its accessibility and performance on a wider range of consumer devices, aligning with the goal of providing a desktop-ready coding model.
-
Poolside releases updated Laguna-S-2.1-NVFP4 model
Poolside has released an updated version of their Laguna-S-2.1-NVFP4 model, superseding the previous checkpoint. Users who downloaded earlier versions are advised to re-download the model to access the latest weights an…
-
Open AI Models Proliferate, Challenging Consolidation Predictions
Several organizations are releasing powerful open-weight AI models, challenging the predicted trend of consolidation in the industry. Companies like Thinking Machines, Poolside, and Tencent are contributing to this prol…
-
Laguna S 2.1 model updated with 1M context and new weights
Poolside has released updated weights for their Laguna S 2.1 model, specifically for FP8 and NVFP4 formats. These updates increase the default context size to 1 million tokens and include revised configurations. Users h…
-
Anthropic launches Claude Opus 5, faces legacy prompt issues
Anthropic has released Claude Opus 5, which demonstrates strong performance on benchmarks but has encountered issues with legacy prompts. The week also saw the release of FLUX 3 video, an OpenAI sandbox escape, and a ne…
-
Poolside releases Laguna XS 2.1 and Laguna S 2.1 models
Poolside has released two new models: Laguna XS 2.1 and Laguna S 2.1. The Laguna XS 2.1 model offers a context window of 262.1k tokens and is available for $0.06 in and $0.12 out per million tokens, or as a free and ope…
-
Small AI model Laguna S 2.1 outperforms larger rivals by revising its work
Poolside's Laguna S 2.1, a smaller AI model, has demonstrated the ability to outperform larger models. This is achieved through its capacity for self-revision and persistence during complex, long-duration tasks. Notably…
-
Poolside's Laguna S 2.1 model prioritizes agent efficiency over scale
Poolside's Laguna S 2.1 model demonstrates that agent efficiency can outperform raw scale, achieving a 70.2% score on the Terminal-Bench 2.1 test. This 8-billion parameter model, utilizing a novel thinking mode, has suc…
-
Poolside's Laguna S 2.1 coding model outperforms larger rivals
Poolside has launched Laguna S 2.1, a compact open-weight coding model designed to improve its problem-solving capabilities. Unlike larger models that rely on sheer scale, Laguna S 2.1 is trained to iteratively check it…
-
Poolside releases Laguna S 2.1, users share experiences
Poolside has released Laguna S 2.1, a new iteration of their language model. Users on the r/LocalLLaMA subreddit are discussing their experiences and opinions with the model, particularly its performance in agent loops.
-
Laguna S 2.1 model receives looping issue fix
Poolside has released an update for their Laguna S 2.1 model, addressing a looping issue that users have encountered. Both full precision and FP8 versions of the model have been updated, with other variants expected to …
-
New equation predicts LLM inference speed on consumer hardware
A solo researcher has developed an equation to predict the inference speed of large language models on consumer hardware, based on parameters like model size, RAM, and bandwidth. This equation, derived from four observe…
-
Poolside's Laguna S 2.1 open model surpasses DeepSeek-V4-Pro-Max
Poolside has released Laguna S 2.1, an 118-billion parameter Mixture-of-Experts model that outperforms the 1.6-trillion parameter DeepSeek-V4-Pro-Max on the Terminal-Bench 2.1 benchmark. This American-made open model bo…
-
Poolside releases Laguna S 2.1 with 256K context, achieving high token speeds
Poolside has released Laguna S 2.1, a new model that fits within 256K context at F16 quantization. Early performance tests show impressive speeds, with prefill reaching 400-600 tokens/sec and generation at 16-20 tokens/…
-
US startups challenge Chinese AI models with new open-source offerings
American AI startups are emerging to compete with dominant Chinese models. Poolside, co-founded by former GitHub CTO Jason Warner, has launched its Laguna model, aiming to be the leading open-source model in the West. W…
-
Poolside launches Laguna S 2.1, an 118B open-weight coding model for desktops
Poolside, a company co-founded by former GitHub CTO Jason Warner, has launched Laguna S 2.1, an 118-billion-parameter open-weight coding model. This model is designed to run on a desktop and reportedly matches or surpas…
-
Poolside's Laguna S 2.1 benchmarked as browser-agent planner
Poolside's new Laguna S 2.1 (118B-A8B) model has been benchmarked as a browser-agent planner. It achieved 71% alignment with Sonnet, performing comparably to Tencent's Hy3 and Minimax M3, but falling short of Gemma 4 31B Q.
-
US AI Labs Launch Open-Source Models to Challenge Chinese Dominance
American AI startups are emerging to challenge the dominance of Chinese open-source models in the AI landscape. Poolside, co-founded by former GitHub CTO Jason Warner, has released a new model named Laguna, which claims…
-
Poolside releases Laguna S 2.1 with 1M context and agentic capabilities · 4 sources tracked
Poolside has released Laguna S 2.1, a 118B parameter Mixture-of-Experts model with 8B activated parameters per token. This model is designed for agentic coding and long-horizon tasks, featuring a 1M token context window…
-
LLM Pricing Fluctuates: NVIDIA, Qwen, and Z.ai See Changes; New Models Added · 10 sources tracked
The Token Ledger has released daily updates on LLM pricing changes throughout early August 2026. Several models saw price adjustments, including NVIDIA Nemotron 3 Super and Ultra, Qwen variants, and Z.ai's GLM 5.2, with…
-
Open AI model ecosystem diversifies with niche players and varied motivations · 1 source tracked
The open-source AI model ecosystem is rapidly diversifying, moving beyond a few dominant players to include a wide array of niche companies globally. This expansion is driven by varied motivations, including companies a…