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GPT-5

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841–850 of 1001 posts

Re: GPT-5

#841

GPT-5 knowledge cutoff: Sep 30, 2024 (10 months before release). Compare that to Gemini 2.5 Pro knowledge cutoff: Jan 2025 (3 months before release) Claude Opus 4.1: knowledge cutoff: Mar 2025 (4 months before release) https://platform.openai.com/docs/models/compare https://deepmind.google/models/gemini/pro/ https://docs.anthropic.com/en/docs/about-claude/models/overv...

Gemini does cursory web searches for almost every query, presumably to fill in the gap between the knowledge cutoff and now.

I always pick Gemini if I want more current subjects / info

Re: GPT-5

#842

I know HN isn’t the place to go for positive, uplifting commentary or optimism about technology - but I am truly excited for this release and grateful to all the team members who made it possible. What a great time to be alive.

[dead]

Re: GPT-5

#843

GPT-5 knowledge cutoff: Sep 30, 2024 (10 months before release). Compare that to Gemini 2.5 Pro knowledge cutoff: Jan 2025 (3 months before release) Claude Opus 4.1: knowledge cutoff: Mar 2025 (4 months before release) https://platform.openai.com/docs/models/compare https://deepmind.google/models/gemini/pro/ https://docs.anthropic.com/en/docs/about-claude/models/overv...

  > GPT-5 knowledge cutoff: Sep 30, 2024
  > Gemini 2.5 Pro knowledge cutoff: Jan 2025
  > Claude Opus 4.1: knowledge cutoff: Mar 2025
A significant portion of the search results available after those dates is AI generated anyway, so what good would training on them do?

Re: GPT-5

#844

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…

Perhaps it is not possible to simulate higher-level intelligence using a stochastic model for predicting text. I am not an AI researcher, but I have friends who do work in the field, and they are not worried about LLM-based AGI because of the diminishing returns on results vs amount of training data required. Maybe this is the bottleneck. Human intelligence is markedly different from LLMs: it requires far fewer examp…

> Human intelligence is markedly different from LLMs: it requires far fewer examples to train on, and generalizes way better.

That is because with LLMs there is no intelligence. It is Artificial Knowledge. AK not AI. So AI is AGI. Not that it matters for user-cases we have, but marketing needs 'AI' because that is what we were expecting for decades. So yeah, I also do not thing we will have AGI from LLMs - nor does it matter for what we are using it.

Re: GPT-5

#845

GPT-5 knowledge cutoff: Sep 30, 2024 (10 months before release). Compare that to Gemini 2.5 Pro knowledge cutoff: Jan 2025 (3 months before release) Claude Opus 4.1: knowledge cutoff: Mar 2025 (4 months before release) https://platform.openai.com/docs/models/compare https://deepmind.google/models/gemini/pro/ https://docs.anthropic.com/en/docs/about-claude/models/overv...

It would be fun to train an LLM with a knowledge cutoff of 1900 or something

Re: GPT-5

#846

Whenever OpenAI releases a new ChatGPT feature or model, it's always a crapshoot when you'll actually be able to use it. The headlines - both from tech media coverage and OpenAI itself - always read "now available", but then I go to ChatGPT (and I'm a paid pro user) and it's not available yet. As an engineer I understand rollouts, but maybe don't say it's generally available when it's not?

Weird. I got it immediately. I actually found out about it when I opened the app and saw it and thought “oh, a new model just dropped better go check YT for the video” which had just been uploaded. And I’m just a Plus user.

Re: GPT-5

#847

GPT-5 knowledge cutoff: Sep 30, 2024 (10 months before release). Compare that to Gemini 2.5 Pro knowledge cutoff: Jan 2025 (3 months before release) Claude Opus 4.1: knowledge cutoff: Mar 2025 (4 months before release) https://platform.openai.com/docs/models/compare https://deepmind.google/models/gemini/pro/ https://docs.anthropic.com/en/docs/about-claude/models/overv...

with web search, is knowledge cutoff really relevant anymore? Or is this more of a comment on how long it took them to do post-training?

Isn’t this an issue with eg Cloudflare removing a portion of the web? I’m all for it from the perspective of people not having their content repackaged by an LLM, but it means that web search can’t check all sources.

Re: GPT-5

#848

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…

Polymarket betters are not impressed. Based upon the market odds, OpenAI had a 35% chance to have the best model (at year end), but those odds have dropped to 18% today. (I'm mostly making this comment to document what happened for the history books.) https://polymarket.com/event/which-company-has-best-ai-model...

That bet does not seem to be very illuminating. Winner is likely who happens to release closest to end of year, no?

Re: GPT-5

#849
post #198

Watching the livestream now, the improvement over their current models on the benchmarks is very small. I know they seemed to be trying to temper our expectations leading up to this, but this is much less improvement than I was expecting

GPT-5 is #1 on WebDev Arena with +75 pts over Gemini 2.5 Pro and +100 pts over Claude Opus 4: https://lmarena.ai/leaderboard

What does +75 arbitrary points mean in practice? Can we come up with units that relate to something in the real world.

Re: GPT-5

#850

GPT-5 knowledge cutoff: Sep 30, 2024 (10 months before release). Compare that to Gemini 2.5 Pro knowledge cutoff: Jan 2025 (3 months before release) Claude Opus 4.1: knowledge cutoff: Mar 2025 (4 months before release) https://platform.openai.com/docs/models/compare https://deepmind.google/models/gemini/pro/ https://docs.anthropic.com/en/docs/about-claude/models/overv...

It would be fun to train an LLM with a knowledge cutoff of 1900 or something

That’s been done to see if it could extrapolate and predict the future. Can’t find the link right now to the paper.
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