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Comment · 1 month ago
Now that's a textbook strawman
Comment · 1 month ago
did you actually verify that it's output in those scenarios is good ? in my experience opus has been a disappointment and constantly trailing behind actually solving hard problems versus the OpenAI models. I'll say that both have terrible writing style though.
Comment · 1 month ago
I think that would be more of ASI than AGI, AGI is a smart human, I'd say we're pretty close if not already there for most stuff we've been focusing on like coding. ASI is a super genius, beyond the smartest human, and we're nowhere near that. But as we've already seen with LLMs you don't need to wait for ASI to solve hard problems in math and physics.
Comment · 1 month ago
But is it byte for byte identical ?
Comment · 1 month ago
Your experience sounds really interesting, can you tell us more ?
Comment · 1 month ago
I mean sure, you can add a third, and a fourth and a fifth one if ur ok with the added cost, latency and it actually helps. Redundancy is a core concept in software and CS and at the heart of making many systems, complex or otherwise, reliable.
Comment · 2 months ago
What you want can be accomplished with an extra doc, call it the Log, where the llm appends things tried, lessons learned, failed experiments etc.. while leaving the comments as terse accurate snapshot of the current state. I've been using this log pattern and it works well.
Comment · 2 months ago
from my experience they're actually much lower than people think, especially when using Postgres for things it's not well-suited for like queuing, and the problem is you rarely can just throw more hardware at it to solve the problem and it's really not a good place to be.
Comment · 2 months ago
you really went digging with that 3 months old hn comment. What's wrong with that comment btw? Are you saying he was lying and they did in fact commit to the rewrite at that point?
Comment · 2 months ago
It was communicated fine, can you be more specific ?
Comment · 2 months ago
it's not the way to go if you hit the limits very quickly and have to waste immense time migrating.
Comment · 2 months ago
Thw bottleneck become compiling and running the code every iteration so it wont be seconds
Comment · 2 months ago
This has not been my experience at all with gpt sol on ultra/max. Some concurrent code is just really really hard to write and even in those cases LLMs can help, the barrier for extensive thorough testing and writing your own custom simulator, liveness and correctness tests is simply so much lower now.
Comment · 2 months ago
Do you think diffusion models or models that generate video and image are conscious? I'd say most people who think LLMs are conscious don't think the same way about non-chattng models ( unless you ask them then they might say "sure" in an attempt to remain consistent).

My point is it's the interaction medium that's causing the confusion and causinf this psychosis that's tricking people into feeling like they're talking to someone.

LLMs are not conscious, sams as google chrome, same as GTA 5, same as your latest python script.

Comment · 2 months ago
I think you both are missing the point. Hes sayin larry is inhuman, hes closer to an apex predator or a serial killer freak of nature than your ordinary human

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