ctrl+f "cutoff, 0 results"
Surely it doesn't still have the same ancient data cutoff as 5.4 did?
GPT-5.5
561–570 of 1001 posts
Re: GPT-5.5
#562Earlier quoted context omitted.
I am still trying to figure out the business model of open weights. Like... it's wonderful that there are open LLMs, super happy about it, good for everyone, but why are there these? What is the advantage to their companies to release them?
The majority are released by socialists, and by socialist I mean the People's Republic of China. Which everyone seems to forget is a socialist country working towards world communism. They are a prestige propaganda tool on par with the space race. On top of that they insert a subtle pro-socialist bias in everything they touch. Ask deepseek about the US economic system for a blatant example. Now think what something a…
Is China even really communist? If anything they seem to be fairly on the Capitalist side but just a bit opposite on the spectrum of the US. And much more authoritarian
Re: GPT-5.5
#563Earlier quoted context omitted.
I am still trying to figure out the business model of open weights. Like... it's wonderful that there are open LLMs, super happy about it, good for everyone, but why are there these? What is the advantage to their companies to release them?
The majority are released by socialists, and by socialist I mean the People's Republic of China. Which everyone seems to forget is a socialist country working towards world communism. They are a prestige propaganda tool on par with the space race. On top of that they insert a subtle pro-socialist bias in everything they touch. Ask deepseek about the US economic system for a blatant example. Now think what something a…
You're talking to a Canadian, and I'm not scared of the "red menace". You should be more scared - those guys can build bullet trains while you Yanks are finding it hard to even keep the old ones you have running. The solution here isn't going to be some kind of ideological force that protects people from different ideas, and that's an unAmerican way to fix things anyway. Embrace other ideas; central planning doesn't have to be evil, you just have to find a way to stop putting evil people in charge.
Re: GPT-5.5
#564Earlier quoted context omitted.
I am not a Marxian economic expert but this doesn’t make sense to me. Modulo skill atrophy, the big AI model provider can’t capture that surplus value because its customers can just go back to bidding for human labor instead.
The human labor just said: "Losing access to GPT‑5.5 feels like I've had a limb amputated.” How well would an assembly line of quadriplegics work? Also this isn't a Marxist analysis. Underneath all the formulas neo-classical economics makes the same assumptions about labor.
ChatGPT isn’t literally or figuratively cutting off anybody’s limbs though. It’s more like, the guy on the assembly line had a mech suit, and now he doesn’t have a mech suit, and he’s sad. Skill atrophy is a real concern but unless you assume that nobody is working to maintain those skills it doesn’t change my analysis much.
Re: GPT-5.5
#565Earlier quoted context omitted.
> power loom When the power loom came around, what happened with most seamtresses? Did they move on to become fashion designers, materials engineers to create new fabrics, chemists to create new color dyes, or did they simply retire or were driven out of the workforce?
There were riots and many people died. Many people lost their jobs. I didn't say this is good but it is happening. As individuals we should act to protect ourselves from these changes. That might mean joining a union and trying to influence how AI is adopted where you work. It might mean changing which if your skills you lean on most. But just whining about AI is bad is how you end up like those seamstresses.
> Many people lost their jobs.
On the other hand, a lot of those jobs were offshored to places where labor is cheaper. It would be interesting to compare how many people work in the textile industry in Bangladesh today compared to the US 50 years ago.
> joining a union and trying to influence how AI is adopted where you work.
Did the strong unions for car manufacturers in Detroit protected the long term stability of the profession? Did it ensure that the Rust belt was still a thriving economic area?
> Just whining about AI is bad
I'm not whining. I just think that we are witnessing the end of "knowledge workers" and a further compression of the middle class. Given that I'm smack in the middle of my economically active years (turning 45 this year), I am trying to figure out where this puck is going and whether I will be fast enough to skate there to catch it.
Re: GPT-5.5
#566Earlier quoted context omitted.
LLMs upend a few centuries of labor theory. The current market is predicated on the assumption that labor is atomic and has little bargaining power (minus unions). While capital has huge bargaining power and can effectively put whatever price it wants on labor (in markets where labor is plentiful, which is most of them). What happens to a company used to extracting surplus value from labor when the labor is provided…
I am still trying to figure out the business model of open weights. Like... it's wonderful that there are open LLMs, super happy about it, good for everyone, but why are there these? What is the advantage to their companies to release them?
Cultural influence is another benefit. China is securing its sphere of influence as well as keeping us ai in check.
Re: GPT-5.5
#567This model is great at long horizon tasks, and Codex now has heartbeats, so it can keep checking on things. Give it your hardest problem that would take hours with verifiable constraints, you will see how good this is:) *I work at OAI.
Sorry, what is "heartbeats", exactly?
Re: GPT-5.5
#568Earlier quoted context omitted.
A library is deterministic. LLMs are not. That we let a generation of software developers rot their brains on js frameworks is finally coming back to bite us. We can build infinite towers of abstraction on top of computers because they always give the same results. LLMs by comparison will always give different results. I've seen it first hand when a $50,000 LLM generated (but human guided) code base just stops workin…
The thing is, it's possible to ask the LLM to add dynamic tracing, logging, metrics, a debug REPL, whatever you want to instrument your codebase with. You have to know to want that, and where it's appropriate to use. You still have to (with AI assistance) wire that all up so that it's visible, and you have to be able to interpret it. If you didn't ask for traceability, if you didn't guide the actual creation and just…
And if that had been done the $50k code base would be a $5,000,000 code base because the context would be 10 times as large and LLMs are quadratic.
If only we taught developers under 40 what x^2 meant instead of react.
Re: GPT-5.5
#569Earlier quoted context omitted.
The majority are released by socialists, and by socialist I mean the People's Republic of China. Which everyone seems to forget is a socialist country working towards world communism. They are a prestige propaganda tool on par with the space race. On top of that they insert a subtle pro-socialist bias in everything they touch. Ask deepseek about the US economic system for a blatant example. Now think what something a…
You're talking to a Canadian, and I'm not scared of the "red menace". You should be more scared - those guys can build bullet trains while you Yanks are finding it hard to even keep the old ones you have running. The solution here isn't going to be some kind of ideological force that protects people from different ideas, and that's an unAmerican way to fix things anyway. Embrace other ideas; central planning doesn't…
>you just have to find a way to stop putting evil people in charge.
Of course, why did no one think of that?
Re: GPT-5.5
#570Once upon a time humans had to memorize log tables.
Once upon a time humans had to manually advance the spark ignition as their car's engine revved faster.
Once upon a time humans had to know the architecture of a CPU to code for it.
History is full of instances of humans meeting technology where it was, accommodating for its limitations. We are approaching a point where machines accommodate to our limitations -- it's not a point, really, but a spectrum that we've been on.
It's going to be a bumpy ride.