OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)
271–280 of 352 posts
Re: OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)
#272The fact that AI models can be so easily distilled and replicated is such a stroke of luck. 10 or 15 years ago if one had asked me to envision a future where a private company invents artificial intelligence, I'd have thought for sure they'd have a massive moat, be very difficult to catch, and it would create an almost instant monopoly. Rather, it seems that selling intelligence might end up as a race to the bottom.…
> The fact that AI models can be so easily distilled They're not, right? If it's really easy why there are no counterparts of DeepSeek from the Europe or Japan?
Re: OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)
#273Earlier quoted context omitted.
Where is the actual evidence of distillation? I keep seeing this repeated ad nauseam but I must have somehow missed the evidence.
The evidence is Anthropic's own reporting [1]. You may doubt that they're telling the truth, but that's what they're reporting. [1] https://www.anthropic.com/news/detecting-and-preventing-dist...
Re: OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)
#274Earlier quoted context omitted.
Any cooling issues to be resolved?
No. Cooling is probably the easiest problem to solve, easier than power. And in both cases, the problem is solved by mass to orbit. All you need for cooling is a big f-ing radiator. Solar panels are chips, and not trivial to manufacture. But a radiator is just a hunk of metal with some pipes. That's why the cost of mass to orbit is the most important thing. You can solve almost any space problem by just throwing more…
Re: OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)
#275You add requirements and make previous tests invisible to see how pigeon brained the model is - Sol and Fable seem to rank the same as Opus tends to fall behind
Re: OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)
#276the fastest, most compliant model remains the cheapest. you could discount Sol to the same price as Luna and i would still prefer Luna for 90%+ of tasks. once you hit this baseline capability, speed and predictability dominate for anything i'd throw these at in production.
Re: OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)
#277Earlier quoted context omitted.
Fable is available for $100 a month. If you're a working developer, you can pay that. I wouldn't really say it's "reserved for the richest customers".
Depends on where you live, it's a decent chunk of income for every developer I know, and a significant one for those less experienced. If you have other priorities (family, mortgage, so not a hermit like myself), you won't be able to pay that here.
Re: OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)
#278The fact that AI models can be so easily distilled and replicated is such a stroke of luck. 10 or 15 years ago if one had asked me to envision a future where a private company invents artificial intelligence, I'd have thought for sure they'd have a massive moat, be very difficult to catch, and it would create an almost instant monopoly. Rather, it seems that selling intelligence might end up as a race to the bottom.…
> The fact that AI models can be so easily distilled and replicated is such a stroke of luck. Sort of. It means the country on the verge of monopolizing all aspects of hardware production (China) doesn't need to rely on outsiders for the software. So while that weakens one monopoly it strengthens another.
Re: OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)
#279The price difference to Deepseek models (deepseek-v4-flash, deepseek-v4-pro and deepseek-v4-flash-vision-exp) is still significant while the performance difference is not.
Re: OpenAI: GPT 5.6 Sol price reduction (until at least Nov 21)
#280Earlier quoted context omitted.
It's a mistake to think only OpenAI and Anthropic are actually spending the big bucks on pretrain, and the others just distill that. The Chinese models are pretrained on large clusters just like OpenAI ones are. Yes, they use outputs of the frontier models to further improve the final model, but even without those outputs they'd still have very strong models. It's not like in a world without distillation things would…
They'd still have strong models without distillation, but strong enough to challenge frontier models and to claim the meaningful market share that they have? Probably not.