My interpretation of the progress. 3.5 to 4 was the most major leap. It went from being a party trick to legitimately useful sometimes. It did hallucinate a lot but I was still able to get some use out of it. I wouldn't count on it for most things however. It could answer simple questions and get it right mostly but never one or two levels deep. I clearly remember 4o was also a decent leap - the accuracy increased su…
OpenAI Progress
251–260 of 372 posts
Re: OpenAI Progress
#252It doesn’t detract from the progress, but I think it would change how you interpret it. In some ways 4 / 4o were more impressive because they were going straight to output with a lower number of tokens produced to get a good response.
Re: OpenAI Progress
#253It seems like the progress from GPT-4 to GPT-5 has plateaued: for most prompts, I actually find GPT-4 more understandable than GPT-5 [1]. [1] Read the answers from GPT-4 and 5 for this math question: "Ugh I hate math, integration by parts doesn't make any sense"
Basic prose is a saturated bench. You can't go above 100% so by definition progress will stall on such benchmarks.
Re: OpenAI Progress
#254Earlier quoted context omitted.
I really wonder which one of us is the minority. Because I find text-davinci-001 answer is the only one that reads like a story. All the others don't even resemble my idea of "story" so to me they're 0/100.
text-davinci-001 feels more like a story, but it is also clearly incomplete, in that it is cut-off before the story arc is finished. imo GPT-5 is objectively better at following the prompt because it has a complete story arc, but this feels less satisfying since a 50 word story is just way too short to do anything interesting (and to your point, barely even feels like a story).
Re: OpenAI Progress
#255My interpretation of the progress. 3.5 to 4 was the most major leap. It went from being a party trick to legitimately useful sometimes. It did hallucinate a lot but I was still able to get some use out of it. I wouldn't count on it for most things however. It could answer simple questions and get it right mostly but never one or two levels deep. I clearly remember 4o was also a decent leap - the accuracy increased su…
I have a theory about why it's so easy to underestimate long-term progress and overestimate short-term progress. Before a technology hits a threshold of "becoming useful", it may have a long history of progress behind it. But that progress is only visible and felt to researchers. In practical terms, there is no progress being made as long as the thing is going from not-useful to still not-useful. So then it goes from…
It almost universally describes complex systems.
Re: OpenAI Progress
#256One thing that appears to have been lost between GPT-4 and GPT-5 is that it no longer reminds the user that it's an AI and not a human, let alone a human expert. Maybe those genuinely annoyed people, but it seems like they were potentially useful measure to prevent users from being overly credulous GPT-5 also goes out of its way to suggest new prompts. This seems potentially useful, although potentially dangerous if…
People seem to miss the humanity of previous GPTs from my understanding. GPT5 seems colder and more precise and better at holding itself together with larger contexts. People should know it’s AI, it does not need to explain this constantly for me, but I’m sure you can add that back in with some memory options if you prefer that?
Re: OpenAI Progress
#257A few data points that highlight the scale of progress in a year: 1. LM Sys (Human Preference Benchmark): GPT-5 High currently scores 1463, compared to GPT-4 Turbo (04/03/2024) at 1323 -- a 140 ELO point gap. That translates into GPT-5 winning about two-thirds of head-to-head comparisons, with GPT-4 Turbo only winning one-third. In practice, people clearly prefer GPT-5’s answers ( https://lmarena.ai/leaderboard ). 2.…
The 135 iq result is on Mensa Norway, while the offline test is 120. It seems probable that similar questions to the one in Mensa are in the training data, so it probably overestimates "general intelligence".
Re: OpenAI Progress
#258Earlier quoted context omitted.
I agree. Since I'm recently retired and no longer code much, I don't have much need for LLMs but refining a complex, niche web search is the one thing where they're uniquely useful to me. It's usually when targeting the specific topic involves several keywords which have multiple plain English meanings that return a flood of erroneous results. Because LLMs abstract keywords to tokens based on underlying meaning, you…
I’ll give you another use: LLMs are really good at unearthing the “unknown unknowns.” If I’m learning a new topic (coding or not) summarizing my own knowledge to an LLM and then asking “what important things am I missing” almost always turns up something I hadn’t considered. You’ll still want to fact check it, and there’s no guarantee it’s comprehensive, but I can’t think of another tool that provides anything close…
Re: OpenAI Progress
#259Earlier quoted context omitted.
The real jump was 3 to 3.5. 3.5 was the first “chatgpt.” I had tried gpt 3 and it was certainly interesting, but when they released 3.5 as ChatGPT, it was a monumental leap. 3.5 to 4 was also huge compared to what we see now, but 3.5 was really the first shock.
ChatGPT was a proper product, but as an engine, GPT-3 (davinci-001) has been my favorite all the way until 4.1 or so. It's absolutely raw and they didn't even guardrail it. 3.5 was like Jenny from customer service. davinci-001 was like Jenny the dreamer trying to make ends meet by scriptwriting, who was constantly flagged for racist opinions. Both of these had an IQ of around 70 or so, so the customer service trainin…
How do you use the product to get this experience? All my questions warrant answers with no personality.
Re: OpenAI Progress
#260Earlier quoted context omitted.
Every time I use ChatGPT I become incredibly frustrated with how fucking awful it is. I've used it more than enough, time and time again (just try the new model, bro!), to know that I fucking hate it. If it works for you, cool. I think it's dogshit.
Objectively he didn't cherry pick. He responded to the person and it got it right when he used the "thinking" model WHICH he did specify in his original comment. Why don't you stick to the topic rather than just declaring it's utter dog shit. Nobody cares about your "opinion" and everyone is trying to converge on a general ground truth no matter how fuzzy it is.
How do you expect to find a ground truth from a non-deterministic system using anecdata?