🤯🤯🤯🤯 A Chinese student deployed 300 AI agents and finished what would normally take an entire research team in just 3 hours.

@PythonPr This video is irrelevant to the story

@PythonPr youtu.be/2NrEm1vBRhU?si…

@PythonPr where the hell are the students in China getting that much compute from???

That’s kind of the wrong way to think about it. How big is the research team? What were they researching? Did the research teams research provide the answer that originally lead to assigning a research team? Did the AI agent just repeat the steps the research team performed? Did the AI agent only receive the same set of input parameters and then started the research as a blank slate? Were the results of the research and the method used by the team already part of an existing set of training data?

@PythonPr China is ahead of the world

42 agents. 216 threads. One dashboard. Every agent gets its own prompt, tools, skills, and budget. Deploy specialized agents across your company. From the team at Airtable.

@PythonPr What was it?

@PythonPr I could create 400 if I wanted but I have a NDA

@PythonPr .

@PythonPr Spider web

@PythonPr It looks like it's in the computer breathing how cool

@PythonPr Do you think the way we learn maths has anything to do the way agents are deployed ?

@PythonPr What software is it that displays those connections?

@PythonPr def trust_score(self): factors = [ self.smart_contract, self.treasury_transparency, self.issuance_records, self.bridge_activity, self.liquidity_flow, self.holder_distribution, self.market_cap