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ClawsGO Science
The AI research agent with its own cloud lab
125 followers
The AI research agent with its own cloud lab
125 followers
Research, fully automated. ClawsGO Science takes a question to discovery and writes it up as a cited paper. Its cloud lab has 500+ tools and 90+ datasets. Its long-horizon harness runs clusters of Claude and GPT agents for days. The next paradigm for science.
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The self review is interesting. Can it show what claim was changed and why?
Can a private S3 bucket be mounted directly, or do files need to be uploaded?
A cited paper at the end instead of a chat answer is a strong output format. How can researchers check which tool or dataset each claim came from?
@suleymankasikci Great question, and it's the one that matters most in science. Every search, command and file edit is on record. Open the run and you see which tool ran, on which data, and what it returned. Replay the whole run, or share it with a public link so a colleague can check it too.
The preloaded lab is the part that caught my eye. Most agents I've tried stall on setup before doing anything. How much setup does a typical first run still need?
@sarasolomaker For most first runs, none. Sign up, type your question, and the agent starts on a workstation where the tools and reference data are already installed. The only thing you might add is your own data. Drop the files into the task. Ready on minute one.
the self-review step is the part I keep thinking about - rereading a draft against sources and code will catch a citation mismatch, but what about when the agent just misread what the data actually shows in the first place? that feels like a harder failure mode than a wrong citation. does self-review catch that too, or is that still on the human to catch?
A research agent that stays on one question for days across its own cloud lab is a completely different use of agents than the five minute loops I am used to, and citing sources makes the output checkable.