āļāļ āļāļāˇāļAGI āļāļąāˇāļąāˇ āļąāˇ
Umbe AGI definition eka mokakda?āˇāˇāˇāļģ⎠āļāļāļ§āļ¸ āļāļąāˇāļąāˇ āļąāˇ. āļāļ āļāļąāˇāļą āļāļąāˇ āļāļģāļą āˇāļ§āļ´āˇāļ§āˇāˇ āļāˇāļ¸ āˇāˇāļ¯āˇāļŊ⎠āļąāˇ. AGI āļāˇāļą research papers āˇāļ⎠āˇāļģāˇāļēāļ§ āļāˇāļēāˇāļąāˇāļ¯ āļļāļŊāļ´āļąāˇāļāˇ. āļāļ marketing buzz word āļāļāļ⎠āļ āļģ āļāˇāļŊāˇāļą āļąāˇāˇ āļ´āˇāļąāˇāļąāļąāˇāˇ āˇāļāˇ.. AGI āļāˇāļą āļāˇāļēāˇāļą papers āļ§āˇāļāļ⎠āļāˇāļēāˇāļŊ⎠āļļāļŊāļ´āļąāˇāļāˇ. āļāˇāļ¸ forward reasoning āˇāˇāļāļģāļē⎠āļ´āˇāˇ āˇāˇāļąāˇ. AGI āˇāļŊāļ§ āļāļŊāˇāļąāˇ xai āˇāˇāˇāļŗāļāļąāˇāļą āˇāˇāļąāˇāˇ. āļāļāˇāļ⎠breakthrough āļāļāļ⎠āļąāˇ āļāˇāļ¸. ML āˇāļŊāˇāļąāˇ AGI āˇāļŊāļ§ āļēāļąāˇāˇ āļąāļąāˇ xAi āļāļ āˇāˇāˇāļŗāˇāļāˇāļą āļāļąāˇāļą āļāļąāˇ āļ¸āˇāļŊāˇāļąāˇāļ¸. Statical reasoning āˇāļŊāˇāļąāˇ āļāˇāˇāļ§ āļēāļąāˇāļą āļāļąāˇ.
āˇāˇāļ¤āˇāļ¤āļ¤āˇāļĢāļēāļ⎠āˇāļ¯āļąāˇāļą āļļ⎠āļļāˇāļ¯āˇāļ°āˇāļāļ¸āļ§ āļ āļąāˇāˇAGI āļāļąāˇāļąāˇ āļąāˇ

āˇāļ¯āļąāˇāļą āļāļŊāˇāļ āˇāļ¯āļąāˇāļąāˇ āļ¸āˇāļāļ¯āˇāļ¯ āļāˇāļēāļŊ⎠āļāˇāļģāˇāļ¸āˇ āļāļąāˇāļą āļāļ´āˇāļēāļąāˇ.āˇāˇāļ¤āˇāļ¤āļ¤āˇāļĢāļēāļ⎠āˇāļ¯āļąāˇāļą āļļ⎠āļļāˇāļ¯āˇāļ°āˇāļāļ¸āļ§ āļ āļąāˇāˇ![]()
human level cognition. āļ¸āļ⎠definition āļāļāļ⎠āļąāˇāˇāˇāļēāˇ. āˇāˇāļ¸āˇāļąāˇâāļēāļēāˇāļąāˇ AGI āļāˇāˇāˇāˇāļ¸ āļāˇāˇāļ¸ āļāļāļ⎠āļāļ¸āˇ āļ āļ¯āˇāˇāˇ āļāļģāļąāˇāļąāˇUmbe AGI definition eka mokakda?
Did you use an LLM to write this?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.
a system that can match or outperform humans at almost all economically viable tasksâĻ.āˇāļ¯āļąāˇāļą āļāļŊāˇāļ āˇāļ¯āļąāˇāļąāˇ āļ¸āˇāļāļ¯āˇāļ¯ āļāˇāļēāļŊ⎠āļāˇāļģāˇāļ¸āˇ āļāļąāˇāļą āļāļ´āˇāļēāļąāˇ.
human level cognition. āļ¸āļ⎠definition āļāļāļ⎠āļąāˇāˇāˇāļēāˇ. āˇāˇāļ¸āˇāļąāˇâāļēāļēāˇāļąāˇ AGI āļāˇāˇāˇāˇāļ¸ āļāˇāˇāļ¸ āļāļāļ⎠āļāļ¸āˇ āļ āļ¯āˇāˇāˇ āļāļģāļąāˇāļąāˇ
Did you use an LLM to write this?
These systems donât need to create new knowledge to replace an overwhelming majority of knowledge work and also thereâs 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 clearâĻ
a system that can match or outperform humans at almost all economically viable tasksâĻ.
Oka unoth itin athi + uda response eka
Whatâs 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