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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

#681

Here is a trend I'm noticing: - GPT-5 mini costs $0.25/$2 and will be discontinued in December. - GPT-5.4 mini costs $0.75/$4.5 and is supposed to be the replacement. - GPT-5.4 nano costs $0.2/$1.25 and, while it ranks better in benchmarks than GPT-5 mini, it's not even close when you test it in real scenarios. So you're left being forced to go to GPT 5.4 mini if you use 5 mini today. The same thing is happening here…

No. Welcome to the wonderful world of SaaS. If you want your gui, your terms, your software, self-host.

But I think, in time, a new generation will relearn this truth.

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

#684
post #562
post #440

Earlier quoted context omitted.

https://mikeveerman.github.io/tokenspeed/?rate=750&mode=thin... This is what 750tps looks like, I guess.

That’s an awful visualization. I can skim code quite quickly, but not when it shows up one character at a time in a small window, modem style. At least that site should draw out a full page then start replacing that page with the next, starting from the top and working downwards, repeating each time it hits the bottom.

That's exactly what it looks like in the tools I use most (opencode and codex), so for that purpose it's a pretty good visualization.

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

#685
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 haven't tried the latest Codex but I switched from GPT to Claude because I think Claude writes much better Code. GPT's code ends up way more verbose/complex/overengineered than it needs to be.

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

#686
post #371

Earlier quoted context omitted.

Most FSF guys actually have very nuanced views on the topic and you’re doing everyone a disservice by reducing it to an extremist sound bite.

That's literally the official FSF position. https://www.fsf.org/resources/hw > For example: the Free Software Foundation only purchases desktop machines which support Libreboot, and Thinkpad X200 and X60 laptops with Libreboot. All desktops and servers we buy are KGPE-D16 motherboards, which are supported by Libreboot. As a result, all of the workstations used by the FSF staff have a free BIOS. https://www.gnu.org/di…

> They are also the reason you can buy a computer meeting those requirements

The latest libreboot-compatible laptop I could find, at https://libreboot.org/docs/install/t480.html, is from 2018 -- not sure if that would still be available?

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

#687

Earlier quoted context omitted.

The first sentence is “understand or learn any intellectual task that a human can.” Whatever you think of the benefits of LLMs, they don’t understand and they can only learn during the training period and with very minor adjustments in post training. So, no I don’t think any of these models are generally intelligent.

> they don’t understand I have not seen any instance of this frequently-made assertion which is at all justified. It seems to rely on a definition of "understand" which is more about spirituality than actual observable evidence (they clearly can comprehend even complex tasks well enough to execute on them, and if you won't call that "understanding", you're playing word games rather than stating an objective fact). Li…

Agents are always combining the same underlying weights to their inputs, relying on the same maps of semi-semantic space and the relationships between those that it was leaning towards at training time. The fact that it’s successful in making lots of people have an Eliza effect doesn’t make it understand something. It’s simulating understanding based on an enormous corpus of text, much of which is people working through things or sharing an understanding of something. Unless you believe that all intellectual activity is about finding the space between words you shouldn’t believe LLMs have any chance at understanding anything.

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

#688

Earlier quoted context omitted.

But you'd still need code if you need something done in a consistent way.

Not necessarily. Consider a human assistant who performs repetitive tasks at an acceptable cost and accuracy while dealing with edge cases often autonomously.

If we want reliability - we come up with processes to make it reliable and not rely on individuals getting it right. Code is a way to create a reliable process in the digital world.

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

#689

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…

The other day codex 5.5 was trying to debug my app, asked for accessibility to navigate the app and take screenshots. Instead first thing it did was use the codex app to create a new project rooted in my home directory.

I was like damn, is this common?

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

#690

Earlier quoted context omitted.

Your experience with DeepSeek v4 Flash differs from mine: while I usually use DeepSeek v4 Pro (that is also inexpensive), I find using DeepSeek v4 Flash with the Fireworks.ai API and properly configured OpenCode to be very good for routine work, and it is pleasantly very fast. Admittedly I use DeepSeek v4 Pro for difficult problems. I encourage people to at least once a month to do a quick evaluation with their own p…

We are also using fireworks as our model provider. Our harness is openClaw, so tasks are not only coding but all kinds of tasks. For instance, I asked to fetch some info from the web via Chrome browser and to collect the info in an MD. The MD never appeared, even though it claimed to. I asked it three times to write the MD and it was always: “oh yes, I do it now..” then nothing. The search itself also was very bad be…

That sounds correct: Pro for longer agentic tasks, Flash is fine for writing short programs, finding things for me in a large code base, etc.
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