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GPT-5

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Re: GPT-5

#361

Post by beeflet »

highfrequency wrote: post #331

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 examples to train on, and generalizes way better. Whereas LLMs tend to regurgitate solutions to solved problems, where the solutions tend to be well-published in training data.

That being said, AGI is not a necessary requirement for AI to be totally world-changing. There are possibly applications of existing AI/ML/SL technology which could be more impactful than general intelligence. Search is one example where the ability to regurgitate knowledge from many domains is desirable

Re: GPT-5

#362

Post by dbagr »

kybernetikos wrote: post #184

ChatGPT5 in this demo: > For an airplane wing (airfoil), the top surface is curved and the bottom is flatter. When the wing moves forward: > * Air over the top has to travel farther in the same amount of time -> it moves faster -> pressure on the top decreases. > * Air underneath moves slower -> pressure underneath is higher > * The presure difference creates an upward force - lift Isn't that explanation of why wings…

See also about this misconception: https://www.grc.nasa.gov/www/k-12/VirtualAero/BottleRocket/a...

Re: GPT-5

#363

Post by croes »

mrcwinn wrote: post #300

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.

Did you test it or is it just 5 is greater than 4 so it must be better?

Re: GPT-5

#364

Post by porphyra »

highfrequency wrote: post #331

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 seems that the new tricks that people discover to slightly improve the model, be it a new reinforcement learning technique or whatever, get leaked/shared quickly to other companies and there really isn't a big moat. I would have thought that whoever is rich enough to afford tons of compute first would start pulling away from the rest but so far that doesn't seem to be the case --- even smaller players without as much compute are staying in the race.

Re: GPT-5

#365

Post by juped »

827a wrote: post #305
doctoboggan wrote: post #61

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

I have a suspicion that while the major AI companies have been pretty samey and competing in the same space for a while now, the market is going to force them to differentiate a bit, and we're going to see OpenAI begin to lose the race toward extremely high levels of intelligence instead choosing to focus on justifying their valuations by optimizing cost and for conversational/normal intelligence/personal assistant u…

I think this is pretty much what we've already seen happening, in fact.

Re: GPT-5

#366

Post by levocardia »

surround wrote: post #297

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?

Re: GPT-5

#367

Post by low_tech_punk »

kybernetikos wrote: post #184

ChatGPT5 in this demo: > For an airplane wing (airfoil), the top surface is curved and the bottom is flatter. When the wing moves forward: > * Air over the top has to travel farther in the same amount of time -> it moves faster -> pressure on the top decreases. > * Air underneath moves slower -> pressure underneath is higher > * The presure difference creates an upward force - lift Isn't that explanation of why wings…

That was debunked by Veritasium 13 years ago: https://www.youtube.com/watch?v=aFO4PBolwFg

Re: GPT-5

#368

Post by asgr »

"Perhaps it is not possible to simulate higher-level intelligence using a stochastic model for predicting text." - beeflet

Re: GPT-5

#369

Post by pradn »

hrpnk wrote: post #336

They will retire lots of models: GPT-4o, GPT-4.1, GPT-4.5, GPT-4.1-mini, o4-mini, o4-mini-high, o3, o3-pro. https://help.openai.com/en/articles/6825453-chatgpt-release-... "If you open a conversation that used one of these models, ChatGPT will automatically switch it to the closest GPT-5 equivalent." - 4o, 4.1, 4.5, 4.1-mini, o4-mini, or o4-mini-high => GPT-5 - o3 => GPT-5-Thinking - o3-Pro => GPT-5-Pro

Finally, someone from the product side got a word in. Keep it simple!
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