Content
@
https://warpcast.com/~/channel/theai
0 reply
0 recast
0 reaction
ted (not lasso)
@ted
is it possible to train your AI agent to understand when it is being tagged a) to execute a function as it was designed to do vs. b) as a reference? asking because the only time i have seen an agent ignore a tag ("@") is if it hit its rate limits or maxed out API credits, not because it knows it isn't needed.
15 replies
4 recasts
74 reactions
ted (not lasso)
@ted
also if the answer is yes, then why aren't we training all agents to know the difference and respond accordingly?
4 replies
1 recast
23 reactions
osama
@osama
i'm dk co text. guess is eng still learning/ramping up on topics in ai
0 reply
0 recast
0 reaction
shoni.eth
@alexpaden
These agents are actually better described as bot farms so the entire farm tends to follow the same logic But as for your original question yes that’s what’s called a workflow, it’s how all the bots on farcaster operate (aether, bracky, etc), it’s a bit different than what was originally intended by the term agent(ic). I.e if you see @ then respond with this prompt, otherwise respond with this alt prompt. A step further is plugin systems, that’s all MCP really is… here’s a doc with a description of all my tools, and an example of them being used.. HELLO_TOOL e.g. User: hey how are you Gpt response: HELLO_TOOL Okay so now I search my response to see if it includes a tool.. I.e “HELLO_TOOL” that’s called regex and I might call some apis or just send another gpt request with I.e their username and a prompt specifically designed for HELLO_TOOL it’s actually v simple o3 model just took this logic and applied it to pretraining (the expensive stuff) instead of a prompt describing tools
1 reply
0 recast
5 reactions
🦒
@srijan.eth
pretty sure the answer is yes.. probably just devs being lazy.
1 reply
0 recast
3 reactions
HackingThroughLife
@hnnhstphnz
Is this related to ai-run accounts that automatically respond to certain prompts or other accounts? It feels like this exists
0 reply
0 recast
0 reaction