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GPT-5

openai.com

641–650 of 1001 posts

Re: GPT-5

#641
It's a really good model from my testing so far. You can see the difference in how it tries to use tools to the greatest extent when answering a question, especially compared to 4.1 and o3. In this example it used 6! tool calls in the first response to try and collect as much info as possible.

https://promptslice.com/share/b-2ap_rfjeJgIQsG

Re: GPT-5

#642

It is frequently suggested that once one of the AI companies reaches an AGI threshold, they will take off ahead of the rest. It's interesting to note that at least so far, the trend has been the opposite: as time goes on and the models get better, the performance of the different company's gets clustered closer together. Right now GPT-5, Claude Opus, Grok 4, Gemini 2.5 Pro all seem quite good across the board (ie the…

It doesn't take a researcher to realise that we have hit a wall and hit it more than a year ago now. The fact all these models are clustering around the same performance proves it.

Re: GPT-5

#643

It is frequently suggested that once one of the AI companies reaches an AGI threshold, they will take off ahead of the rest. It's interesting to note that at least so far, the trend has been the opposite: as time goes on and the models get better, the performance of the different company's gets clustered closer together. Right now GPT-5, Claude Opus, Grok 4, Gemini 2.5 Pro all seem quite good across the board (ie the…

It's also worth considering that past some threshold, it may be very difficult for us as users to discern which model is better. I don't think thats what's going on here, but we should be ready for it. For example, if you are an ELO 1000 chess player would you yourself be able to tell if Magnus Carlson or another grandmaster were better by playing them individually? To the extent that our AGI/SI metrics are based on…

> For example, if you are an ELO 1000 chess player would you yourself be able to tell if Magnus Carlson or another grandmaster were better by playing them individually?

No, but I wouldn't be able to tell you what the player did wrong in general.

By contrast, the shortcomings of today's LLMs seem pretty obvious to me.

Re: GPT-5

#645

I'm not really convinced, the benchmark blunder was really strange but the demos were quite underwhelming, and it appears this was reflected by a huge market correction in the betting markets as to who will have the best AI by end of the year. What excites me now is that Gemini 3.0 or some answer from Google is coming soon and that will be the one I will actually end up using. It seems like the last mover in the LLM…

I am convinced. I've been giving it tasks the past couple hours that Opus 4.1 was failing on and it not only did them but cleaned up the mess Opus made. It's the real deal.

Re: GPT-5

#646

Anecdotally, as someone who operates in a very large legacy codebase, I am very impressed by GPT-5's agentic abilities so far. I've given it the same tasks I've given Claude and previous iterations via the Codex CLI, and instead of getting loss due to the massive scope of the problem, it correctly identifies the large scope and breaks it down into it's correct parts and creates the correct plan and begins executing.…

I'm a solo founder. I fed it a fairly large "context doc" for the core technology of my company, current state of things, and the business strategy, mostly generated with the help of Claude 4, and asked it what it thought. It came back with a massive list of detailed ambiguities and inconsistencies -- very direct and detailed. The only praise was the first sentence of the feedback: "The core idea is sound and well-differentiated."

It's got quite a different feel so far.

Re: GPT-5

#647

74.9 SWEBench. This increases the SOTA by a whole .4%. Although the pricing is great, it doesn't seem like OpenAI found a giant breakthrough yet like o1 or Claude 3.5 Sonnet

That would assume there is a giant breakthrough to be found.

Re: GPT-5

#649

It is frequently suggested that once one of the AI companies reaches an AGI threshold, they will take off ahead of the rest. It's interesting to note that at least so far, the trend has been the opposite: as time goes on and the models get better, the performance of the different company's gets clustered closer together. Right now GPT-5, Claude Opus, Grok 4, Gemini 2.5 Pro all seem quite good across the board (ie the…

They use each other for synthesizing data sets. The only moat was the initial access to human generated data in hard to reach places. Now they use each other to reach parity for the most part.

I think user experience and pricing models are the best here. Right now everyone’s just passing down costs as they come, no real loss leaders except a free tier. I looked at reviews of some of various wrappers on app stores, people say “I hate that I have to pay for each generation and not know what I’m doing to get”, market would like a service priced very differently. Is it economical? Many will fail, one will succeed. People will copy the model of that one.

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