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GPT-5

openai.com

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Re: GPT-5

#551

Post by BizarroLand »

klik99 wrote: post #494
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…

I’ve been saying for a while if AGI is possible it’s going to take another innovation and the transformer / LLM paradigm will plateau, and innovations are hard to time. I used to get downvoted for saying that years ago and now more people are realizing it. LLMs are awesome but there is a limit, most of the interesting things in the next years will be bolting more functionality and agent stuff, introspection like Anth…

I bet that it will only happen when the ability to process and concrete new information into its training model without retraining the entire model is standard, AND when multiple AIs with slightly different datasets are set to work together to create a consensus response approach.

It's probably never going to work with a single process without consuming the resources of the entire planet to run that process on.

Re: GPT-5

#552

Post by hobofan »

sundarurfriend wrote: post #317

Some people have hypothesized that GPT-5 is actually about cost reduction and internal optimization for OpenAI, since there doesn't seem to be much of a leap forward, but another element that they seem to have focused on that'll probably make a huge difference to "normal" (non-tech) users is making precise and specifically worded prompts less necessary. They've mentioned improvements in that aspects a few times now,…

It sounded like they were very careful to always mention that those improvements were for ChatGPT, so I'm very skeptical that they translate to the API versions of GPT-5.

Re: GPT-5

#553

Post by justcallmejm »

beeflet wrote: post #361
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 examp…

It is definitively not possible. But the frontier models are no longer “just” LLMs, either. They are neurosymbolic systems (an LLM using tools); they just don’t say it transparently because it’s not a convenient narrative that intelligence comes from something outside the model, rather than from endless scaling.

At Aloe, we are model agnostic and outperforming frontier models. It’s the anrchitecture around the LLM that makes the difference. For instance our system using Gemini can do things that Gemini can’t do on its own. All an LLM will ever do is hallucinate. If you want something with human-like general intelligence, keep looking beyond LLMs.

Re: GPT-5

#554

Post by JonChesterfield »

Anyone have an explanation for openai announcing their newest bestest replace all the others AI with slides of such embarrassing incompetence that most of this discussion is mocking them?

I've got nothing. Cannot see how it helps openai to look incompetent while trying to raise money.

Re: GPT-5

#556

Post by jjk166 »

felineflock wrote: post #528
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…

Plot twist - once GPT reached AGI, this is exactly the strategy chosen for self-preservation. Appear to not lead by too much, only enough to make everyone think we're in a close race, play dumb when needed. Meanwhile, keep all relevant preparations in secret...

“If the humans see me actually doing my job, it helps keep suspicions from forming about faulty governor modules.”

Re: GPT-5

#557

Post by [deleted] »

fidotron wrote: post #277

Going by the system card at: https://openai.com/index/gpt-5-system-card/ > GPT‑5 is a unified system . . . OK > . . . with a smart and fast model that answers most questions, a deeper reasoning model for harder problems, and a real-time router that quickly decides which model to use based on conversation type, complexity, tool needs, and explicit intent (for example, if you say “think hard about this” in the prompt).…

[deleted]

Re: GPT-5

#558

Post by TheoGone »

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…

LLMs are good at mimicking human intuition. Still sucks at deep thinking.

LLMs PATTERN MATCH well. Good at "fast" System 1 thinking, instantly generating intuitive, fluent responses.

LLMs are good at mimicking logic, not real reasoning. Simulate "slow," deliberate System 2 thinking when prompted to work step-by-step.

The core of an LLM is not understanding but just predicting the next most word in a sequence.

LLMs are good at both associative brainstorming (System 1) and creating works within a defined structure, like a poem (System 2).

Reasoning is the Achilles heel rn. AN LLM's logic can SEEM plausible, it's based on CORRELATION, NOT deductive reasoning.

Re: GPT-5

#559

Post by phkahler »

m4nu3l wrote: post #477

Very funny. The very first answer it gave to illustrate its "Expert knowledge" is quite common, and it's wrong. What's even funnier is that you can find why on Wikipedia: https://en.wikipedia.org/wiki/Lift_(force)#False_explanation... What's terminally funny is that in the visualisation app, it used a symmetric wing, which of course wouldn't generate lift according to its own explanation (as the travelled distance an…

A symmetric wing will not produce lift a zero angle of attack. But tilted up it will. The distance over the top will also increase, as measured from the point where the surface is perpendicular to the velocity vector.

That said, yeah the equal time thing never made any sense.

Re: GPT-5

#560

Post by DrSiemer »

Wish they would stop mentioning AGI. It's like the creator of a new car claiming it's a step closer to teleportation.
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