- cross-posted to:
- technology@beehaw.org
- cross-posted to:
- technology@beehaw.org
Absolutely needed: to get high efficiency for this beast … as it gets better, we’ll become too dependent.
“all of this growth is for a new technology that’s still finding its footing, and in many applications—education, medical advice, legal analysis—might be the wrong tool for the job,”
What progress are we seeing?
In what area of AI? Image generation is increasing in leaps and bounds. Video generation even more so. Image reconstruction for games (DLSS, XeSS, FSR) is having generational improvements almost every year. AI chatbots are getting much much smarter seemingly every month.
What’s one main application of AI that hasn’t improved?
Which chatbots are getting smarter?
I know AI has potential, but specifically LLMs (which most people mean when talking about AI) seem to have hit their technological limits.
Advanced Reasoning models came out like 4 months ago lol
Advanced reasoning? Having LLM talk to itself?
Lul yes but no, but they are clearly better at many types of tasks.
For example? Citations?
Pretty sure these “tasks” are meaningless metrics made up by pseudo-scientific grifters.
AlphaFold 3 which can help in the prediction of some proteins. Although it has some limitations, it cannot be used in all cases, only in what it can perform without any problem.
Copilot, ChatGPT, pretty much all of them.
Smarter how? Synthetic benchmarks?
Because I’ve heard the opposite from users and bloggers.
So you want me to provide some evidence that it’s getting smarter, but you can’t provide any that it’s getting worse other than anecdotal evidence?
What evidence would you accept?
Any proof that we have moved past the current architecture.
What does “architecture” mean in this scenario?
Any significant shift in the model, or a complete restructuralization of the approach.
As it is, it won’t grow anywhere.