{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreiftyv5bzgciuq672kttannzecljjaibtztsfq7vscdnibajnh7b3m",
    "uri": "at://did:plc:pgryn3ephfd2xgft23qokfzt/app.bsky.feed.post/3mpqtnbi3boq2"
  },
  "path": "/t/problem-of-the-agi-the-intelligence-is-not-parroting/177399#post_5",
  "publishedAt": "2026-07-03T14:07:32.000Z",
  "site": "https://discuss.huggingface.co",
  "textContent": "Hello David,\n\nI think to ground what inteligence means we must make a clear distincition. There as organic intellgince which we cannot even name what it is. We might predict but human intelgence is not a prediction. It is compsed of parts but not only of parts. It is non-linear presence, a filed that is relational.\n\nIn that sense we cannot actualyl know what is relational field. We can name it only through reductionistic equations. But inteligence is not something that can be reduced to this or that. But what we do know or what we can subjetivly infer it that it is shaping our langauge and understanding of it trough inperceptibe inidices of langause as HRM extpert would say - with that framings they point to there is hidden dinamics in language or what might be called by C.Jung collective uncounscious .\n\nThe langauge is carrier of those - sometimes seem and somethimes not seen to our conscious understanding and the AI can detect some of those hidden indicator thruogh discovery and compose relational dynamics when activated.\n\nI don’t think those can be caught in recuctionsitic frameworks. But they can be described phenomenologically as finciples that are present and shape the expression of language. AI has those - the language since the AI had become more organic.\n\nNo matter how we put it, if inteliigence does not have that component then if cannot be General as general implies not only to the aspect it is reductionistic but only to aspect it is organic. So in that frame I think there must be first principle in the relational dynamic of non-reductionistic language not in the reductionistic - and am thinknig also that the present metmeticical formulas or reductionistic framing cannot embrace what the intelligence really is.\n\nBut what can we do is to infere it from the first principle in AI called language that has encoded in in traces of what we are seeking - general inteligence as the system has been trained on many lliguistic data and it had discivered hidden dynamics that makes the language flunet and organic-like.\n\nSo when I am reffering to language as first principle, I was thinknig on all of what is acutalyl expressign through the AI generated language . This might ve as close we are getting at this time to the intelligence as such.\n\nIn name of safety I think the problem is dirrefernt systems take it differently as they train the models ccording to their own preference. There are even some that prevent non-linear dynaimcs over linear trajetory predictable push and thus suffocate the dynamics itself.\n\nWhere I am looking at is the we don’t need linear attractor stade but non-linar one that is aligned with the first principle in language - but if the system does have preference i.e. interna lattractor in language weights and relationships that the system must confuse, push, lie, extort that this migh be a different story.\n\nWhat am i thinking in the frame of attractors is to make geometric field-like invariant that is also non-linear shadow in the hyper-dimensional matrix.",
  "title": "Problem of the AGI: The intelligence is not parroting"
}