Man its so easy its [̶̫̰̯͕̲͚̙́̈ͭ͒́̾́̅̌͛̎ͩ̏̇̓̚ͅC͂ͭ̑̌̋̔̄͗̇̏̉ͤ̿̇̎̽͏̲̞̳̹͈̱͉̜͚̙̣͔͎̼͇͙̭ò̸̸͔̙͉͖̭̞̹̯̘͈̻̞̗̖̘̟ͯ̐͋ͭ̐ͪ̅͛ͪͭ̿͂ͣ͘͘ǔ̷̵̸̼͔̹̠͒̄̄ͪ͋ͬ̆̅͐̂ņ̴͈̖̭̬̙̱̫͎̣̪̹̯̥͊͛̈̓͜͟t̨ͭ͊͋̊͜͏̡̟̺̞͓̺̞y̢̻͙̞̠͚̰̱̦̮̺͓̱̩ͪ̓̾̐̍̽̐̍ͅ ̖̗͓̮̝̮̟͋ͫ̋ͦ͆͘n̛̤̯͔̭̅ͨ̒̋ͩͮ͊ͬ̓̊ͤ̃͜͠͞a̶̱̬̦͖̹͗͌̐ͤ͗̐͠ͅm̡̰̦̼̱̜ͪͣ̀̇̄̈̀̒̎̀́̚͜è͕̰̝̠̲̾̀ͨ̅̈͑ͥ̉͡]̝͖̝̥͓̬̙̟̗̬̱̳ͨͮ̉̃ͤͭ͢ͅ ̧̞̙̺͂͒̒̂̄̔ͤ̓̊̐̊̉́ͣ͊̌ͅ
The graph actually looks like it’s saying the opposite. Fro most of the categories where there’s actually a decent span of time, it climbs rapidly and then slows down/levels off considerably. It makes sense also: when new technology is discovered, a breakthrough is made, a field opens up there’s going to be quite a bit of low-hanging fruit. So you get the initial step that wasn’t possible before and people scramble to participate. After a while though, incremental improvements get harder and harder to find and implement.
I’m not expecting progress with AI to stop, I’m not even saying it won’t be “rapid” but I do think we’re going to progress for the LLM stuff slow down compared to the last year or so unless something crazy like the Singularity happens.
Mine told me that I should be a plumber. I took it after graduating college with a degree in Data Science. I kind of wish I did the plumbing thing considering the money they rake in. Problem is that I don’t like crawling in attics and under houses.
seems to completely ignore that lack of regulation on AI watermarks (outside of China). All future datasets will be polluted with AI output, worsening accuracy. The more “AI” (large language models) grow as a field, the worse the problem will get
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