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In your analogy to the Apple II, is there a fundamental problem people claimed for early computers, which didn’t just boil down to “they need to be faster”? Th
by kietay 4y ago
In your analogy to the Apple II, is there a fundamental problem people claimed for early computers, which didn’t just boil down to “they need to be faster”?
There are fundamental limitations to what an LLM can achieve.
- mjburgess 4y agoYou missed the ever-powerful ellipsis in what he said: Today "..." and then it will be solved. It's the most powerful operator in the whole of applied computer science.
- nerpderp82 4y agoYeah, ChatGPT/copilot kinda is that ellipsis.
- gptgpp 4y agoTrue, I mean, just look at all of the examples of technologies that were projected to revolutionize computing and machine learning "..." eventually, here: https://en.wikipedia.org/wiki/AI_winter https://en.wikipedia.org/wiki/AI_winter Just because they haven't happened to yet doesn't mean they never will! I've heard very good things about expert systems and IBM's Watson for Oncology. The Harvard Business Review has a great article on all of the eventual "..." AGIs here: https://hbr.org/2022/03/why-ai-failed-to-live-up-to-its-potential-during-the-pandemic https://hbr.org/2022/03/why-ai-failed-to-live-up-to-its-pote...
- baq 4y agoIntegrate it with wolfram alpha and Google, tack on a bullshit detector and spank dispenser conetwork and it looks like limitations of LLMs are easily overcome by not running anywhere near them.