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An erroneous summarization is: The Tiny Teams concept has resonated so strongly that it’s pretty clear it is the next major transition of the org chart
by AdieuToLogic 1y ago
An erroneous summarization is:
The Tiny Teams concept has resonated so strongly that it’s
pretty clear it is the next major transition of the org
chart as we go from level 2 to 3 AGI.
LLM's, nor any offerings based upon them, qualify as Artificial General Intelligence[0]. So to assert there is an existing "level 2" AGI, let alone a progression to "level 3" AGI, is nonsensical.
0 - https://en.wikipedia.org/wiki/Artificial_general_intelligence https://en.wikipedia.org/wiki/Artificial_general_intelligenc...
- swyx 1y ago[flagged]
- swyx 1y agofor those who wonder how, i oneshotted this in my not agi coding agent of choice https://github.com/swyxio/HNX/commit/d89ca7da401704cb15dcf9c8d20d6f9ba215adf2 https://github.com/swyxio/HNX/commit/d89ca7da401704cb15dcf9c...
- AdieuToLogic 1y ago> you are being obtuse, so i'll counter your obnoxious wikipedia link with my own and never reply to you again. And you are being myopic, so I will counter your trite response with my own link which explains why LLM's are very useful for what they are, but in no way what the hype proclaims them to be, and never reply to you again either. https://arxiv.org/pdf/2501.09223v2 https://arxiv.org/pdf/2501.09223v2
- Zababa 1y agoQuoting wikipedia: >Researchers generally hold that a system is required to do all of the following to be regarded as an AGI:[34] > - reason, use strategy, solve puzzles, and make judgments under uncertainty > - represent knowledge, including common sense knowledge > - plan > - learn > - communicate in natural language > - if necessary, integrate these skills in completion of any given goal Modern AI can do all of those.
- abuani 1y agoCan it though? Everything I've seen and experienced is that LLMs are very good at making it appear to do those things, but the amount of times I've gotten stuck on "you're absolutely right!" When correcting the LLMs suggests that it can not reason by any means, nor does it learn. Otherwise, an LLM would never get stuck in a loop.
- AdieuToLogic 1y agoOf the reproduced attributes listed (reformatted and numbered): 1 - reason, use strategy, solve puzzles, and make judgments under uncertainty 2 - represent knowledge, including common sense knowledge 3 - plan 4 - learn 5 - communicate in natural language 6 - if necessary, integrate these skills in completion of any given goal Only 2 (partially) and 5 are applicable to LLM's, as they are statistical text (token) generator algorithms. Very useful ones, no doubt, but not ones which satisfy all of the above.