Earlier quoted context omitted.
Is it fair to still call LLMs stochastic parrots now that they are enriched with reasoning? Seems to me that the simple procedure of large-scale sampling + filtering makes it immediately plausible to get something better than the training distribution out of the LLM. In that sense the parrot metaphor seems suddenly wrong. I don’t feel like this binary shift is adequately accounted for among the LLM cynics.
They are not enriched with reasoning, it's just snake oil, I'm afraid.
GPT-4.5
931–940 of 1001 posts
Re: GPT-4.5
#932Earlier quoted context omitted.
Claude just got a version bump from 3.5 to 3.7. Quite a few people have been asking when OpenAI will get a version bump as well, as GPT 4 has been out "what feels like forever" in the words of a specialist I speak with. Releasing GPT 4.5 might simply be a reaction to Claude 3.7.
Feels like when Slackware bumped their Linux version from 4 to 7 just to show they were not falling behind the rest. Wow, I'm old.
Now get off my lawn ))
Re: GPT-4.5
#933Earlier quoted context omitted.
I begin to believe LLM benchmarks are like european car mileage specs. They say its 4 Liter / 100km but everyone knows it's at least 30% off (same with WLTP for EVs).
Those numbers are not off. They are tested on tracks. You need to remove your shoe and drive with like two toes to get the speed just right, though. Test drivers I have done this with takes off their shoes or use ballerina shoes.
Re: GPT-4.5
#934Earlier quoted context omitted.
That $7 trillion dollar ask pushed me from skeptical to full-on eye-roll emoji land— the dude is clearly a narcissist with delusions of grandeur— but it’s getting worse. Considering the $200 pro subscription was significantly unprofitable before this model came out, imagine how astonishingly expensive this model must be to run at many times that price.
Or, the model is nowhere as expensive as in the api pricing and they want to pump the user value of their pro subscription artificially?
Re: GPT-4.5
#935Earlier quoted context omitted.
Is it fair to still call LLMs stochastic parrots now that they are enriched with reasoning? Seems to me that the simple procedure of large-scale sampling + filtering makes it immediately plausible to get something better than the training distribution out of the LLM. In that sense the parrot metaphor seems suddenly wrong. I don’t feel like this binary shift is adequately accounted for among the LLM cynics.
it was never fair to call them stochastic parrots and anybody who is paying any attention knows that sequence models can generalize at least partially OOD
If it makes you feel better, I'd say the Eliza Effect is good evidence human have a lot of "stochastic parrot" in them also. And there's no reason that being stochastic parrot means something can't generalize.
The thing with these terms is LLMs are distinctly new things. Even blind men looking at elephants can improve their performance with good terminology and by listening to each other. "Effective searchers", "question answers" and "stochastic parrots" are useful term just 'cause the describe concrete behaviors - notably "stochastic parrots" gives some idea of the "no particular goal" quality of LLMs (will happily be NAZIs, pacifists or communists given the proper context). On the other hand, "intelligent" gives no good clues since humans haven't really defined the term for themselves and it is a synonym for good, worthy or capable (giving the machine a prize rather than looking at it).
Re: GPT-4.5
#936Earlier quoted context omitted.
> "Early testing shows that interacting with GPT‑4.5 feels more natural. Its broader knowledge base, improved ability to follow user intent, and greater “EQ” make it useful for tasks like improving writing, programming, and solving practical problems. We also expect it to hallucinate less." "Early testing doesn't show that it hallucinates less, but we expect that putting that sentence nearby will lead you to draw a c…
What is happening to hacker news? I can understand skepticism of new tools like this but the response I see is just so uncurious.
Re: GPT-4.5
#937Earlier quoted context omitted.
Good call. Here's the same exact prompt run against: GPT-4o: https://gist.github.com/simonw/592d651ec61daec66435a6f718c06... GPT-4o Mini: https://gist.github.com/simonw/cc760217623769f0d7e4687332bce... Claude 3.7 Sonnet: https://gist.github.com/simonw/6f11e1974e4d613258b3237380e0e... Claude 3.5 Haiku: https://gist.github.com/simonw/c178f02c97961e225eb615d4b9a1d... Gemini 2.0 Flash: https://gist.github.com/simonw/0c6f…
I actually think the Claude 3.7 Sonnet summary is better.
Re: GPT-4.5
#938Earlier quoted context omitted.
AI in general is increasingly a solution in search of a problem, so this seems about right.
Only in the same sense as electricity is. The main tools apply to almost any activity humans do. It's already obvious that it's the solution to X for almost any X, but the devil is in the details - i.e. picking specific, simplest problems to start with.
It is the solution to almost nothing, but is being shoehorned into every imaginable role by people who are blind to its shortcomings, often wilfully. The only thing that's obvious to me is that a great number of people are apparently desperate for a tool to do their thinking for them, no matter how garbage the result is. It's disheartening to realize that so many people consider using their own brain to be such an intolerable burden.
Re: GPT-4.5
#939Earlier quoted context omitted.
As someone who is terrified of agentic ASI, I desperately hope this is true. We need more time to figure out alignment.
"alignment" is a bs term made up to deflect blame from the overpromises the AI companies made to hype up their product to obtain their valuations.
Re: GPT-4.5
#940Earlier quoted context omitted.
In the second handpicked example they give, GPT-4.5 says that "The Trojan Women Setting Fire to Their Fleet" by the French painter Claude Lorrain is renowned for its luminous depiction of fire. That is a hallucination. There is no fire at all in the painting, only some smoke. https://en.wikipedia.org/wiki/The_Trojan_Women_Set_Fire_to_t...
AI crash is gonna lead to decade long winter