High-fidelity trajectories and environments for frontier AI research
Brooklyn, NY
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Thanks for featuring our work @immutablejacob, @MessariCrypto, and team!
Better datasets & environments => better models
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…
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Chakra Labs retweeted
You can now run tasks in @chakra_ai's RL environments using Browserbase as the runtime.
Get task concurrency, isolated contexts, and enhanced observability.
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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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To get started with this custom run-time, check out the Dojo engine docs below:
docs.trydojo.ai/engines/brow…
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Chakra Labs retweeted
An interesting design decisions we made with dojo:
- All of our dojos inherit the following state pattern
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Chakra Labs retweeted
so we did this :)
if i was running Linear, and i wanted every AI ever to become very good at using Linear, i would make an RL environment version of Linear and open-source it for free, with a curated set of realistic sample data. every lab would train with it. who else can compete with that?
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Chakra Labs retweeted
Docs: docs.trydojo.ai/integrations…
Dojo Env: app.primeintellect.ai/dashbo…
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