4 ms·

Continue asking it to provide details and it can. Or , prior to asking it about performance, ask it to respond with as much detail as it can and have it includ

Continue asking it to provide details and it can. Or , prior to asking it about performance, ask it to respond with as much detail as it can and have it include details you specially want to see. Comparing GPT-4 to a monkey with a typewriter , and claiming the absolute of “there’s no getting better from this” when we’ve literally seen dramatic progress in just months? I think you’re missing out on some of the utility this stuff can actually provide .

xwdv 4y ago
No, you see it needs to do these things on its own, unprompted. It has to consider multiple solutions to problems it encounters and choose the best one, not just the most probable one. It’s not made to evaluate things that way, you can’t hand it multiple implementations and ask it to weigh the pros and cons of the different approaches and recommend the best one for what you’re trying to do. You can’t hand it your code for code review and ask what you could improve and expect to get a response that isn’t just fabricated from what other people have said in code reviews. And it will never do those things, because it’s an LLM and there are limits to what LLMs can do. There is no “getting better”, it will only sound better. If it’s going to replace programming, the prompts simply cannot be more laborious than writing the damn code yourself in the first place.
- SanderNL 4y ago
  Think 50 LLMs with different personalities and focus points talking to each other, mixed with stuff like Wolfram. You can instruct them to “invoke” tools. An outside system parses their “tool use” and injects results. You can get quite crazy with this. LLMs are just the part of a much larger looping system that can do these things you speak of. Be active and seek out stuff. Of course, it’s all illusory, but I’m sorry I think it’s no different with myself. By the way, it actually gives ok reviews on novel code, so I’m not sure what you mean. At some point nothing is truly novel, even innovation is composing existing “patterns” (at whatever abstraction level).
  - xwdv 4y ago
    I would like to see examples of these “ok code reviews”. Everything I’ve seen has been fairly plain and not too insightful.

xwdv 4y ago

No, you see it needs to do these things on its own, unprompted. It has to consider multiple solutions to problems it encounters and choose the best one, not just the most probable one. It’s not made to evaluate things that way, you can’t hand it multiple implementations and ask it to weigh the pros and cons of the different approaches and recommend the best one for what you’re trying to do. You can’t hand it your code for code review and ask what you could improve and expect to get a response that isn’t just fabricated from what other people have said in code reviews. And it will never do those things, because it’s an LLM and there are limits to what LLMs can do. There is no “getting better”, it will only sound better. If it’s going to replace programming, the prompts simply cannot be more laborious than writing the damn code yourself in the first place.

SanderNL 4y ago
Think 50 LLMs with different personalities and focus points talking to each other, mixed with stuff like Wolfram. You can instruct them to “invoke” tools. An outside system parses their “tool use” and injects results. You can get quite crazy with this. LLMs are just the part of a much larger looping system that can do these things you speak of. Be active and seek out stuff. Of course, it’s all illusory, but I’m sorry I think it’s no different with myself. By the way, it actually gives ok reviews on novel code, so I’m not sure what you mean. At some point nothing is truly novel, even innovation is composing existing “patterns” (at whatever abstraction level).
- xwdv 4y ago
  I would like to see examples of these “ok code reviews”. Everything I’ve seen has been fairly plain and not too insightful.