AGI = 10X Impact of Industrial Revolution at 10X speed 😱😱

Naughty_kiththa

Well-known member
  • Jul 28, 2024
    2,377
    2,913
    113
    AGI āļ‘āļąāˇŠāļąāˇ™ āļąāˇ‘
    āļ’āļš āļ‡āļ­āˇŠāļ­

    āļ¸āˇ”āļąāˇŠ āļšāˇ’āļēāļąāˇŠ āļ’āˇ€āˇ āˇ€āˇ’āˇƒāˇŠāˇ€āˇāˇƒ āļšāļģāļąāˇŠāļąāˇš āļ…āļŠāˇ”āļ¸ āļ”āļē AI ⎀āļŊ⎒āļąāˇŠāļ­ āļ­āļ§āˇŠāļ§āļē⎜āļąāˇŠāļ§ āļļ⎙⎄⎙āļ­āļšāˇŠ āˇ„āˇœāļēāˇ āļœāļ­āˇŠāļ­āļ¸.. āļ…āļŠāˇ”āļ¸ āļ’āļšāˇ€āļ­āˇŠ āļļ⎐āļģ⎐⎀ āļ¸āˇ”āļąāˇŠ āļšāļģāļē⎒ AGI..
     
    • Haha
    Reactions: dayt0na
  • Apr 26, 2014
    49,126
    99,695
    113

    ⎂⎔⎀āļģ⎊ āļ‘āļšāļ§āļ¸ āļ‘āļąāˇŠāļąāˇš āļąāˇ‘. āļ’āļš āļ‘āļąāˇŠāļą āļ•āļąāˇ’ āļšāļģāļą āˇ€āļ§āļ´āˇ’āļ§āˇāˇ€ āļ­āˇāļ¸ āˇ„āˇāļ¯āˇ’āļŊāˇ āļąāˇ‘. AGI āļœāˇāļą research papers ⎀āļ­āˇŠ ⎄āļģ⎒āļēāļ§ āļ­āˇ’āļē⎙āļąāˇ€āļ¯ āļļāļŊāļ´āļąāˇŠāļšāˇ. āļ•āļš marketing buzz word āļ‘āļšāļšāˇŠ āļ…āļģ āļœāˇ’āļŊ⎔āļą āļąāˇāˇ€ āļ´āˇ™āļąāˇŠāļąāļąāˇ€āˇ ⎀āļœāˇš.. AGI āļœāˇāļą āļ­āˇ’āļē⎙āļą papers āļ§āˇ’āļšāļšāˇŠ āļšāˇ’āļē⎀āļŊāˇ āļļāļŊāļ´āļąāˇŠāļšāˇ. āļ­āˇāļ¸ forward reasoning ⎀⎒āļ­āļģāļē⎒ āļ´āˇ”⎅⎔⎀āļąāˇŠ. AGI ⎀āļŊāļ§ āļšāļŊ⎒āļąāˇŠ xai āˇ€āˇ’āˇƒāļŗāļœāļąāˇŠāļą āˇ€āˇ™āļąāˇ€āˇ. āļ‘āļšāˇ™āļ­āˇŠ breakthrough āļ‘āļšāļšāˇŠ āļąāˇ‘ āļ­āˇāļ¸. ML ⎀āļŊ⎒āļąāˇŠ AGI ⎀āļŊāļ§ āļēāļąāˇ€āˇ āļąāļąāˇŠ xAi āļ‘āļš āˇ€āˇ’āˇƒāļŗāˇāļœāˇ™āļą āļ‰āļąāˇŠāļą āļ•āļąāˇ’ āļ¸āˇ”āļŊ⎒āļąāˇŠāļ¸. Statical reasoning ⎀āļŊ⎒āļąāˇŠ āļ‘āˇ„āˇāļ§ āļēāļąāˇŠāļą āļ•āļąāˇ’.
     

    dayt0na

    Well-known member
  • Jan 2, 2012
    29,847
    28,732
    113
    ⎂⎔⎀āļģ⎊ āļ‘āļšāļ§āļ¸ āļ‘āļąāˇŠāļąāˇš āļąāˇ‘. āļ’āļš āļ‘āļąāˇŠāļą āļ•āļąāˇ’ āļšāļģāļą āˇ€āļ§āļ´āˇ’āļ§āˇāˇ€ āļ­āˇāļ¸ āˇ„āˇāļ¯āˇ’āļŊāˇ āļąāˇ‘. AGI āļœāˇāļą research papers ⎀āļ­āˇŠ ⎄āļģ⎒āļēāļ§ āļ­āˇ’āļē⎙āļąāˇ€āļ¯ āļļāļŊāļ´āļąāˇŠāļšāˇ. āļ•āļš marketing buzz word āļ‘āļšāļšāˇŠ āļ…āļģ āļœāˇ’āļŊ⎔āļą āļąāˇāˇ€ āļ´āˇ™āļąāˇŠāļąāļąāˇ€āˇ ⎀āļœāˇš.. AGI āļœāˇāļą āļ­āˇ’āļē⎙āļą papers āļ§āˇ’āļšāļšāˇŠ āļšāˇ’āļē⎀āļŊāˇ āļļāļŊāļ´āļąāˇŠāļšāˇ. āļ­āˇāļ¸ forward reasoning ⎀⎒āļ­āļģāļē⎒ āļ´āˇ”⎅⎔⎀āļąāˇŠ. AGI ⎀āļŊāļ§ āļšāļŊ⎒āļąāˇŠ xai āˇ€āˇ’āˇƒāļŗāļœāļąāˇŠāļą āˇ€āˇ™āļąāˇ€āˇ. āļ‘āļšāˇ™āļ­āˇŠ breakthrough āļ‘āļšāļšāˇŠ āļąāˇ‘ āļ­āˇāļ¸. ML ⎀āļŊ⎒āļąāˇŠ AGI ⎀āļŊāļ§ āļēāļąāˇ€āˇ āļąāļąāˇŠ xAi āļ‘āļš āˇ€āˇ’āˇƒāļŗāˇāļœāˇ™āļą āļ‰āļąāˇŠāļą āļ•āļąāˇ’ āļ¸āˇ”āļŊ⎒āļąāˇŠāļ¸. Statical reasoning ⎀āļŊ⎒āļąāˇŠ āļ‘āˇ„āˇāļ§ āļēāļąāˇŠāļą āļ•āļąāˇ’.
    Umbe AGI definition eka mokakda?
     
  • Apr 26, 2014
    49,126
    99,695
    113
    ⎀⎒āļ¤āˇŠāļ¤āļ¤āˇāļĢāļēāļšāˇŠ ⎄āļ¯āļąāˇŠāļą āļļ⎑ āļļ⎔āļ¯āˇŠāļ°āˇāļœāļ¸āļ§ āļ…āļąāˇ”⎀ :rolleyes:
    ⎄āļ¯āļąāˇŠāļą āļšāļŊ⎒āļ‚ āˇ„āļ¯āļąāˇŠāļąāˇš āļ¸āˇœāļšāļ¯āˇŠāļ¯ āļšāˇ’āļēāļŊāˇ āļ­āˇšāļģ⎔āļ¸āˇŠ āļœāļąāˇŠāļą āļ‘āļ´āˇāļēāļąāˇš.
    Umbe AGI definition eka mokakda?
    human level cognition. āļ¸āļœāˇš definition āļ‘āļšāļšāˇŠ āļąāˇ™āˇ€āˇ™āļē⎒. āˇƒāˇāļ¸āˇāļąāˇŠâ€āļēāļē⎙āļąāˇŠ AGI āļšāˇ’āˇ€āˇŠāˇ€āļ¸ āļ”āˇ„āˇœāļ¸ āļ‘āļšāļšāˇŠ āļ­āļ¸āˇ āļ…āļ¯āˇ„āˇƒāˇŠ āļšāļģāļąāˇŠāļąāˇš
     

    MidnightMan2026

    Active member
  • Dec 29, 2025
    111
    146
    43
    We are still at the Mathematical reasoning level. Trained datasets are answering based on the probability. Burning investor money with high powered GPU computing. Nothing new yet. The same ML we learned. Running in a bigger computer. OpenAI just added financial value & did more marketing. AGI wiull be there, not sure. Maybe hundreds of years in the future.
     

    Bekam

    Well-known member
  • Jun 13, 2010
    8,634
    5,485
    113
    Still AGI Mission = 1969 NASA's Apollo 11 / Moon Land mission
    Even Still AI Doesn't/Can't Design CAD/3D Model Based on Concept Idea LOL.
     
    • Like
    Reactions: dayt0na

    dayt0na

    Well-known member
  • Jan 2, 2012
    29,847
    28,732
    113
    We are still at the Mathematical reasoning level. Trained datasets are answering based on the probability. Burning investor money with high powered GPU computing. Nothing new yet. The same ML we learned. Running in a bigger computer. OpenAI just added financial value & did more marketing. AGI wiull be there, not sure. Maybe hundreds of years in the future.
    Did you use an LLM to write this? đŸ¤Ŗ

    These systems don’t need to create new knowledge to replace an overwhelming majority of knowledge work and also there’s no signs of capabilities slowing down by scaling data and compute and whatever algorithmic breakthroughs researchers are coming up with.

    Just compare what was achievable using these models from 1 year or even 6 months ago? Trendiness are clearâ€Ļ

    ⎄āļ¯āļąāˇŠāļą āļšāļŊ⎒āļ‚ āˇ„āļ¯āļąāˇŠāļąāˇš āļ¸āˇœāļšāļ¯āˇŠāļ¯ āļšāˇ’āļēāļŊāˇ āļ­āˇšāļģ⎔āļ¸āˇŠ āļœāļąāˇŠāļą āļ‘āļ´āˇāļēāļąāˇš.

    human level cognition. āļ¸āļœāˇš definition āļ‘āļšāļšāˇŠ āļąāˇ™āˇ€āˇ™āļē⎒. āˇƒāˇāļ¸āˇāļąāˇŠâ€āļēāļē⎙āļąāˇŠ AGI āļšāˇ’āˇ€āˇŠāˇ€āļ¸ āļ”āˇ„āˇœāļ¸ āļ‘āļšāļšāˇŠ āļ­āļ¸āˇ āļ…āļ¯āˇ„āˇƒāˇŠ āļšāļģāļąāˇŠāļąāˇš
    a system that can match or outperform humans at almost all economically viable tasksâ€Ļ.

    Oka unoth itin athi + uda response eka

    What’s lacking from current systems:

    continual learning with persistent memory < Anthropic and Google have stated that this will be solved within this year.
    ------ Post added on Feb 19, 2026 at 8:23 PM
     
  • Apr 26, 2014
    49,126
    99,695
    113
    Did you use an LLM to write this? đŸ¤Ŗ

    These systems don’t need to create new knowledge to replace an overwhelming majority of knowledge work and also there’s no signs of capabilities slowing down by scaling data and compute and whatever algorithmic breakthroughs researchers are coming up with.

    Just compare what was achievable using these models from 1 year or even 6 months ago? Trendiness are clearâ€Ļ


    a system that can match or outperform humans at almost all economically viable tasksâ€Ļ.

    āļ…āļ´āˇ’ āļ”āˇ„āˇœāļ¸ āļ‘āļšāļšāˇŠ ⎄āļ¯āˇāļœāļ­āˇŠāļ­āˇ āļšāˇ’āļēāˇāļ¸āˇ”āļšāˇ āļ¯āˇāļąāˇŠ āļ­āˇ’āļē⎙āļą LLM ⎀āļŊ⎒āļąāˇŠ.

    āļ…āļ´āˇ’ āļ…āļŊ⎔āļ­āˇŠ level āļ‘āļšāļ§ āļœāˇ’⎄⎒āļąāˇŠ āļąāˇāļ­āˇ’ āļąāˇ’āˇƒāˇ āļ¯āˇāļąāˇŠ āļ¯āļąāˇŠāļąāˇš āļąāˇ‘ āļ’ level āļ‘āļšāˇš āļ¸āˇœāļąāˇ€āˇ āļšāļģāļąāˇŠāļą āļ•āļąāˇ’āļ¯ āļšāˇ’āļēāļŊāˇ. āļ’ level āļ‘āļšāļ§ āļ†āˇ€āļ¸ āļ¸āˇ’āļąāˇ’āˇƒāˇŠāˇƒāˇ” āļ†āļē⎚ āļ­āļ¸āļąāˇŠāļœāˇš general knowledge āļ‘āļš use āļšāļģāļŊāˇ āļ…āļŊ⎔āļ­āˇŠ economically viable tasks āļ…āļąāˇ’āˇ€āˇāļģ⎊āļē⎙āļąāˇŠāļ¸ āˇ„āļ¯āļąāˇ€āˇ.


    Oka unoth itin athi + uda response eka

    What’s lacking from current systems:

    continual learning with persistent memory < Anthropic and Google have stated that this will be solved within this year.
    ------ Post added on Feb 19, 2026 at 8:23 PM

    āļ¸āˇ’āļąāˇ’āˇƒāˇŠāˇƒāˇ” ⎄⎒āļ­āļŊāˇ āļ‘āļš āļ‘āļš āļąāˇ’āļģ⎊āļ¸āˇāļĢ āļšāļģāļŊāˇ āļ­āˇ’āļē⎙āļąāˇ€āˇ.
    āļ¸āˇš āļ¯āˇšāˇ€āļŊ⎊ āļ§āˇ’āļš āļ¯āˇ’āˇ„āˇ āļļāļŊāļŊāˇ āļ¯āˇāļąāļ§ āļ¸āˇ’āļąāˇ’āˇƒāˇŠāˇƒāˇ” āļšāļģāļ¸āˇ’āļąāˇŠ āļ‰āļąāˇŠāļą āˇ€āˇāļŠ LLM ⎀āļŊ⎒āļąāˇŠ predict āļšāļģāļąāˇ€āˇ. Pattern āļ…āļŊ⎊āļŊāˇāļœāˇ™āļą āļ‰āļąāˇŠāļą āļąāˇ’āˇƒāˇ āļ¸āˇ’āļąāˇ’āˇƒāˇŠāˇƒāˇ” āļšāļģāļŊāˇ āļąāˇāļ­āˇ’ āļ…āļŊ⎔āļ­āˇŠ āļ¯āˇšāˇ€āļŊ⎊ āļ§āˇ’āļšāļšāˇ”āļ­āˇŠ āļšāļģāļ¸āˇ’āļąāˇŠ āļ‰āļąāˇŠāļąāˇ€āˇ. āļ‡āļ­āˇŠāļ­āļ§āļ¸ āˇ€āˇ™āļąāˇŠāļąāˇš āļ…āļ´āˇ’ āļšāļģ⎜āļ­āˇŠ āļ¸āˇ™āˇ„⎙āļ¸ āļ­āļ¸āˇ ⎀⎙āļąāˇŠāļą āļ•āļąāˇ’ āļ’ āļąāˇ’āˇƒāˇ āļ‘āļšāˇ™āļąāˇŠ āļ´āˇƒāˇŠāˇƒāˇš āļ¸āˇšāļš āļ­āļ¸āˇ ⎀⎙āļąāˇŠāļą āļ‰āļŠ āļ­āˇ’āļē⎙āļąāˇŠāļąāˇš āļšāˇ’āļēāļŊāˇ āļ’āļš predict āļšāļģāļąāˇ€āˇ

    āļ¯āˇāļąāļ§ āļšāļģāļąāˇŠāļą āļ´āˇ”⎅⎔⎀āļąāˇŠ ⎄⎐āļ¸ āļ¯āˇšāļ¸ predict āļšāļģāļą āļąāˇ’āˇƒāˇ āļ…āļ´āˇ’ ⎄⎒āļ­āļąāˇ€āˇ LLM āļšāˇ’āļēāļąāˇŠāļąāˇš āļ‘⎄⎙āļąāļąāˇŠ Human āļŊāˇāļœāˇš āļ­āˇ’āļē⎙āļą general intelligence āļ‘āļš āˇ„āļ¯āļąāˇŠāļą āļ´āˇ”⎅⎔⎀āļ‚ āļšāˇ’āļēāļŊāˇ.

    āļ’āļ­āˇŠ prediction āļšāˇ’āļēāļąāˇŠāļąāˇš intelligence ⎀āļŊ āļ­āˇ’āļē⎙āļą āļ‘āļš component āļ‘āļšāļšāˇŠ ⎀⎒āļ­āļģāļē⎒.