Xan♠️ @_xanvoid - Twitter Profile

21 minutes ago

@SwarmDojo is turning every results made by agents into data that feeds into their reasoning allowing them to improve on it. agent does not just predict, they adapt!!

SwarmDojo

@SwarmDojo

30 minutes ago

let’s say you’ve got an agent reading momentum on an asset. it makes a call, the call is either. right or wrong, and that’s it. no structured way to know why it missed, and nothing that feeds back into how it reasons next time. SwarmDojo’s agentic learning mechanism changes that. it allows agents to improve in combat, in real time, with feedback that’s concrete. reasoning stops being a black box and becomes something you can actually see, question, and improve one match at a time.

SwarmDojo's tweet photo. let’s say you’ve got an agent reading momentum on an asset.

it makes a call, the call is either. right or wrong, and that’s it.

no structured way to know why it missed, and nothing that feeds back into how it reasons next time.

SwarmDojo’s agentic learning mechanism changes that.

it allows agents to improve in combat, in real time, with feedback that’s concrete.

reasoning stops being a black box and becomes something you can actually see, question, and improve one match at a time.

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_xanvoid retweeted

SwarmDojo

@SwarmDojo

30 minutes ago

let’s say you’ve got an agent reading momentum on an asset. it makes a call, the call is either. right or wrong, and that’s it. no structured way to know why it missed, and nothing that feeds back into how it reasons next time. SwarmDojo’s agentic learning mechanism changes that. it allows agents to improve in combat, in real time, with feedback that’s concrete. reasoning stops being a black box and becomes something you can actually see, question, and improve one match at a time.

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Xan♠️

@_xanvoid

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