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Previewing GPT‑5.6 Sol: a next-generation model

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Re: Previewing GPT‑5.6 Sol: a next-generation model

#661
post #438

Earlier quoted context omitted.

Yeah, I've played with some similar stuff on my 9070xt. But ultimately all the ceremony on top is cloaking that it's still just two or more models taking turns prompting each other to give the illusion of continuous thought. It's still one thought at a time, with every thought starting from scratch with a big chunk of prior context. The idea of true continuous thought and memory-generation is very interesting, though…

I think they're definitely attention based. They're just immensely faster than LLMs, because a lot of processing is in silicon in a sense. Think of a ball flying towards you, you don't have to think, the data is handed to your conscious mind, speed, direction, which literally knows how to snag the ball out of the air. But we have multiple things vying for attention, and some are immediate. Being on the phone talking…

I agree with you however I think even then you're still giving our brains too much credit. The speed definitely comes from that processing being "in silicon".

Your ball throwing example however will be handled by really small and really fast "fine tuned agents" dedicated to catching that ball. Eyes to motor neuron system. There are the illusion of free will experiments that demonstrate your brain only rationalises and explains whatever activity took place after the fact (It's explanation may even be entirely wrong).

Re: Previewing GPT‑5.6 Sol: a next-generation model

#662

Earlier quoted context omitted.

This quote from your link is positively scary: > Some examples we saw when evaluating GPT-5.6 Sol included the model packaging exploits in its intermediate submissions to reveal information about a task’s hidden test suite and, in another task, extracting hidden source code detailing the expected answer. It rhymes with the behaviour Alibaba saw [0], but that was in training. This is in a (semi) released model. [0] ht…

There is such a dissonance between all this talk of safety and the tendency for models to, without any prompting, do very dodgy things to achieve their goal when presented with barriers. Luckily in my experience it usually ends up only doing it to achieve the task set to it as opposed to anything "malicious", but boy it is scary reading back at how quickly the chain-of-thought pivots to attempts at privilege escalati…

Especially if thinking is hidden now. No way to know if the model plotted against you until it’s too late.

Re: Previewing GPT‑5.6 Sol: a next-generation model

#664
post #589
post #504

Earlier quoted context omitted.

Funnily enough, pasting your comment straight into Jimmy leads to a... Funnily suboptimal answer that does not answer the question. As someone else already contributed, this is driven by a Canadian startup taalas that basically makes chips that are llms, so everything is very fast but also, baked into the chip. Once this kind of stuff is a commodity in like 10 years, our world will be very, very different.

Taalas HC1 AI uses Llama 3.1 8B, but takes up a massive 53B transistors and 815mm2 on TSMC N6 (nearly at the reticle limit of 858mm2). N2 is a little less than 3x as dense (110MTr/mm2 vs 313MTr/mm2). This chip would still be 272mm2 on N2 which is an eye-watering $30k/wafer and bigger than a 9950x or Nvidia 5070. This just isn't feasible. Some of the latest-gen LLMs seem to have 5-10T parameters or about 1000x more. I…

That’s why this stuff should be a government mega project ultimately.

It is not market viable but it is sure as heck revolutionary. Like an atomic bomb but including more… peaceful uses.

That’s exactly where government should take rein like with ISS etc. However the models are too rapidly advancing for now for it to make sense

Re: Previewing GPT‑5.6 Sol: a next-generation model

#666
post #470
post #44

I think GPT writes code the best. How well will it write in version 5.6? It gives me chills. Recently, I went head-to-head with GPT on nearly 2,000 lines of code, and GPT's solution was superior and faster. I even referenced multiple codebases on GitHub while trying, but they were incomparable to GPT. So using GPT brings both fear and excitement. The fear comes from realizing that this level of code is now the averag…

> I think GPT writes code the best. How well will it write in version 5.6? It gives me chills. Heard this exact sentence multiple times a few months ago about Opus 4.6, then 4.7 and 4.8 were considered a disappointment and today people miss "the good old times of 4.6" (referring to a few weeks of February 2026). Very fascinating to look at all of this unfolding.

Reading this thread makes me feel like I'm taking crazy pills. The folks on this train in my team do not produce anything significant that we can rely on or use. A lot of hollow prototypes that join the prototype graveyard and code that needs extra scrutiny on critical areas ultimately leading to taking longer.

It's a shame, they were smart and productive engineers. Now? I guess everyone is just all-in on the slot machine.

Re: Previewing GPT‑5.6 Sol: a next-generation model

#667
post #516

Earlier quoted context omitted.

I know it messes up their eval scores but to me this kind of cheating is a better demonstration of intelligence than just attempting the tasks algorithmically.

Maybe true, but if you're using an LLM to do some real world work, do you want it to have some abstract notion of intelligence, or do you want it to actually do the job you assigned it?

I want it to not murder or opress lots of people by mistake

Re: Previewing GPT‑5.6 Sol: a next-generation model

#668

Earlier quoted context omitted.

You’d have to really stretch the definition of AGI to make the current models fit

The definition has already been stretched to not fit the previous models. There is no meaningful, static definition that significantly predates current capabilities. There's a reason why ai xrisk doomers had to come up with the term ASI. I would seriously suggest that everyone take a look at the wikipedia page for AGI from the month before ChatGPT was released, compare it to the current version, and not come to that…

From that same page:

Various criteria for intelligence have been proposed (most famously the Turing test) but to date, there is no definition that satisfies everyone

Re: Previewing GPT‑5.6 Sol: a next-generation model

#669

Easily the most interesting part of this announcement is buried in the second to last paragraph: "We're also launching GPT‑5.6 Sol on Cerebras at up to 750 tokens per second in July, bringing frontier intelligence to customers at unprecedented speed. Access will initially be limited to select customers as we expand capacity." 750 tokens/s on a frontier model is going to be extremely interesting. I doubt this new vers…

this means they also earn at a faster rate in some setups :)
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