Chakra Labs
149 posts

Chakra Labs
@chakra_ai
High-fidelity trajectories and environments for frontier AI research
Brooklyn, NY Katılım Haziran 2024
10 Takip Edilen10.7K Takipçiler

Thanks for featuring our work @immutablejacob, @MessariCrypto, and team!
Better datasets & environments => better models

Jake@immutablejacob
Despite the incoming drought of public text, we're nowhere close to using up the world's data. The world's total data is ~200 ZBs and doubles every ~2 years. The valuable modalities and sources that can be drawn from include: > Audio (@psdnai, @silencioNetwork, @Meet_Perle) > Video (@grass, @playonshaga, @chakra_ai) > Sensor (@375ai_, @frodobots, @Hivemapper) > Synthetic (@PrimeIntellect, @SynthdataCo, @driaforall) > Personal (@vana, @getoro_xyz, @CudisWellness)
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To get started, check out our docs and code examples below. docs.trydojo.ai/integrations/o…
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You can now run tasks in @chakra_ai's RL environments using Browserbase as the runtime.
Get task concurrency, isolated contexts, and enhanced observability.
Chakra Labs@chakra_ai
Update: Dojo now supports @browserbase
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To get started with this custom run-time, check out the Dojo engine docs below:
docs.trydojo.ai/engines/browse…
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We're excited to announce support for Browserbase, which allows researchers to quickly spin up 1000's of browser tasks concurrently using their serverless hosted infrastructure.
Researchers now benefit from:
- Hyper-scalable browser infra
- Secure SOC II instances
- Native observability and session recordings

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This is awesome...
This is how we craft the future of CUAs, by actually open-sourcing the RL env suites...
Chakra Labs@chakra_ai
Today, we’re excited to announce Dojo, a collaborative RL environment suite for computer use agents (CUA).
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