larsfaye

5 ms·

31.
by larsfaye 5mo ago
This is exactly how I feel. I've begun referring to them as a "Delegation Layer", which is a new addition to the stack.
32.
by larsfaye 5mo ago
Not only can it not describe its reasoning, it can't "remember" if you ask it later; it can only observe what is. Nor can it be consistent; I've had it shift reasoning numerous times as the questioning continues, only to
33.
by larsfaye 5mo ago
Yes—this is the part that nobody is telling you. That's the real shift that is happening.
34.
by larsfaye 5mo ago
The "don't look at the code" movement is a fad that we simply have to go through to prove that the real problems were never obvious, but lie in the subtle nuances and interplay between all the moving parts of what makes softw
35.
by larsfaye 5mo ago
I do agree with this. I was able to get exactly what I needed even out of GPT3.5. If you put enough parameters and examples, along with a real solid system prompt and (if you can) proper temperature and topK/topP, there's no reaso
36.
by larsfaye 5mo ago
> The claim you should know everything about everything you work on is an intensely naive one. Author here. Where did you find I was stating that? As other users said, that's not at all found in my writing. The rest of your post goe
37.
by larsfaye 5mo ago
Author here. Thank you. I absolutely was not stating that, and I don't think its possible or necessary to "know everything", but there's certainly a movement in the industry (and not a small one) that is advocating to ab
38.
by larsfaye 5mo ago
Yeah, I can't help but chuckle when people say "Well, humans make mistakes, too". That's what we're spending 7+ TRILLION dollars, destroying ecosystems to build datacenters, and ruining society's social contrac
39.
by larsfaye 5mo ago
Author here.... "An increase in the complexity of the surrounding systems to mitigate the increased ambiguity of AI's non-determinism" I'm referring to the layers of review that are needed to be put in place to reign in
40.
by larsfaye 5mo ago
Author of the article here (had no idea someone shared it! Just found out through analytics). I actually mention this exact thing it the article under the section "LLMs accelerate the wrong parts", which seems to be saying exactly