Earlier quoted context omitted.
That's unfortunate. When an LLM makes a mistake it's very helpful to read the CoT and see what went wrong (input error/instruction error/random shit)
Yeah, exposed chain of thought is more useful as a user, as well as being useful for training purposes.
Learning to Reason with LLMs
221–230 of 1001 posts
Re: Learning to Reason with LLMs
#222The progress in AI is incredibly depressing, at this point I don't think there's much to look forward to in life. It's sad that due to unearned hubris and a complete lack of second-order thinking we are automating ourselves out of existence. EDIT: I understand you guys might not agree with my comments. But don't you thinking that flagging them is going a bit too far?
"A good human plus a machine is the best combination" — Kasparov
Re: Learning to Reason with LLMs
#223"Open"AI. Should be ClosedAI instead.
Re: Learning to Reason with LLMs
#224One thing that makes me skeptical is the lack of specific labels on the first two accuracy graphs. They just say it's a "log scale", without giving even a ballpark on the amount of time it took. Did the 80% accuracy test results take 10 seconds of compute? 10 minutes? 10 hours? 10 days? It's impossible to say with the data they've given us. The coding section indicates "ten hours to solve six challenging algorithmic…
People have been celebrating the fact that tokens got 100x cheaper and now here's a new system that will use 100x more tokens.
Re: Learning to Reason with LLMs
#225Just did some preliminary testing on decrypting some ROT cyphertext which would have been viable for a human on paper. The output was pretty disappointing: lots of "workish" steps creating letter counts, identifying common words, etc, but many steps were incorrect or not followed up on. In the end, it claimed to check its work and deliver an incorrect solution that did not satisfy the previous steps. I'm not one to j…
Impressive but the problem with RL is that it requires knowledge of the future.
Re: Learning to Reason with LLMs
#226The progress in AI is incredibly depressing, at this point I don't think there's much to look forward to in life. It's sad that due to unearned hubris and a complete lack of second-order thinking we are automating ourselves out of existence. EDIT: I understand you guys might not agree with my comments. But don't you thinking that flagging them is going a bit too far?
It seems opposite to me. Imagine all the amazing technological advancements, etc. If there wasn't something like that what would you be looking forward to? Everything would be what it has already been for years. If this evolves it helps us open so many secrets of the universe.
First of all, I don't want to be poor. I know many of you are thinking something along the lines of "I am smart, I was doing fine before, so I will definitely continue to in the future".
That's the unearned hubris I was referring to. We got very lucky as programmers, and now the gravy train seems to be coming to an end. And not just for programmers, the other white-collar and creative jobs will suffer too. The artists have already started experiencing the negative effects of AI.
EDIT: I understand you guys might not agree with my comments. But don't you thinking that flagging them is going a bit too far?
Re: Learning to Reason with LLMs
#227Just did some preliminary testing on decrypting some ROT cyphertext which would have been viable for a human on paper. The output was pretty disappointing: lots of "workish" steps creating letter counts, identifying common words, etc, but many steps were incorrect or not followed up on. In the end, it claimed to check its work and deliver an incorrect solution that did not satisfy the previous steps. I'm not one to j…
Re: Learning to Reason with LLMs
#228Sounds great, but so does their "new flagship model that can reason across audio, vision, and text in real time" announced in May. [0] [0] https://openai.com/index/hello-gpt-4o/
This one [o1/Strawberry] is available. I have it, though it's limited to 30 messages/week in ChatGPT Plus.
I'm a ChatGPT subscriber.
Re: Learning to Reason with LLMs
#229Reading through the Chain of Thought for the provided Cipher example (go to the example, click "Show Chain of Thought") is kind of crazy...it literally spells out every thinking step that someone would go through mentally in their head to figure out the cipher (even useless ones like "Hmm"!). It really seems like slowing down and writing down the logic it's using and reasoning over that makes it better at logic, simi…
Re: Learning to Reason with LLMs
#230The model performance is driven by chain of thought, but they will not be providing chain of thought responses to the user for various reasons including competitive advantage. After the release of GPT4 it became very common to fine-tune non-OpenAI models on GPT4 output. I’d say OpenAI is rightly concerned that fine-tuning on chain of thought responses from this model would allow for quicker reproduction of their resu…
When are they going to change the name to reflect their complete change of direction? Also, what is going to be their excuse to defend themselves against copyright lawsuits if they are going to "understandably" keep their models closed?