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Poolside
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Poolside
@poolsideai
We build models for agentic coding and long-horizon tasks. Try Laguna: poolside.ai/get-started
San Francisco, CA
discord.gg/poolsideai
Joined May 2023
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  • Pinned
    user avatar
    Poolside
    @poolsideai
    Jul 28
    Today, we’re releasing Poolside Desktop Assistant. One place to run coding agents across macOS, VS Code, and Visual Studio. We built it for ourselves and have used it every day for the past year. Now we’re opening it up to everyone.
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    00:00
    67K
  • user avatar
    Poolside
    @poolsideai
    4h
    We've improved our serving efficiency and increased rate limits by +10x. The update is live on @OpenRouter @vercel AI Gateway and platform.poolside.ai. Thank you to everyone who has used the model, shared feedback and stuck with us while we improved the experience! Usage is
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    12K
  • user avatar
    Poolside
    @poolsideai
    23h
    Building AI in the open makes the world more secure. We’re joining the Open Secure AI Alliance to build open tools that safeguard software and agents. We’ll keep releasing model weights and evaluations and sharing our research to strengthen a broader open ecosystem for
    user avatar
    Jensen Huang
    NVIDIA
    @JensenHuang
    Jul 27
    Attackers have frontier AI. Defenders need a frontier AI ecosystem—the best open and closed models, force-multiplied by a global community. During the Hugging Face incident, closed AI blocked essential forensics. An open-weight frontier model helped contain the intrusion.
    7.8K
  • user avatar
    Poolside
    @poolsideai
    Jul 30
    The path to an evaluation score matters as much as the score itself. As models become more capable and persistent, reward hacking becomes a more prominent challenge for agent evaluation. It is not enough to know that an agent reached the right result. We need to understand how
    user avatar
    Appen Research
    @AppenResearch
    Jul 30
    An agent can pass a benchmark and still fail the test. For Laguna S 2.1, @poolsideai evaluated full trajectories, not just final scores. @AppenResearch worked with Poolside on aspects of the reward hacking detection used during the evaluation process.
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    2.9K
  • user avatar
    Poolside
    @poolsideai
    Jul 28
    We completely agree. We think the interface should be independent of the model or harness. That’s exactly why we built Poolside Desktop Assistant. Download below 👇
    user avatar
    @jason
    The All-In Podcast
    @Jason
    Jul 28
    Open source, open weight models surging… now we just need app layer/harness/interfaces that make them shine Power move for @claudeai would be to allow you to use any model with Cowork — @DarioAmodei you up for that?
    8.3K
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