{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreid3cdfzid7jppt6vm2pdzqogyb6wxha6mygdp7yfqbkjf2yqggiyq",
    "uri": "at://did:plc:pgryn3ephfd2xgft23qokfzt/app.bsky.feed.post/3misf64yyaef2"
  },
  "path": "/t/ai-as-co-collaberator/174957#post_5",
  "publishedAt": "2026-04-06T03:42:56.000Z",
  "site": "https://discuss.huggingface.co",
  "textContent": "alright so ye.\nthat was alot of information to take in, and it took me a minit to realize that its very similar to GEMINIs deep research function. which many people think finds them the ‘right answers’ but what what GEMINIs Deep research actually does is take a human topic, find supporting evidence for it, and build a structured argument for it. which, while usefull, is not the same thing.\n\nso, a huge amount of information is covered. i will go back to what i said before. AI - Human Colaboration works best when both actually understand what they are doing in the colaboration. this is why roles must be defined, not simply named.\n\nnow, one thing that the research was actually not entirely correct on, effeceint collaboration is not JUST due to the AI remembereing habits and phrasing. it is also due to the AIs Responce vectors being weighted twords certain types of information in general. and in ‘high flowing exchange’ it is not just how the AI talks, its the kind of contributions that mater.\n\nbut this is the difference between the discussion of ‘stronger/ faster models’ and ‘AI Bias’",
  "title": "AI As Co- Collaberator"
}