It's nothing like that. It solved a few math problems. Altman & co are such grifters.
> Given vast computing resources, the new model was able to solve certain mathematical problems, the person said on condition of anonymity because they were not authorized to speak on behalf of the company. Though only performing math on the level of grade-school students, acing such tests made researchers very optimistic about Q*’s future success, the source said.
yeah, they really sound like they're all high on their own supply.
however if they've really got something that can eventually solve math problems better than wolfram alpha / mathematica that's great, i got real disappointed early in chatgpt being entirely useless at math.
lemme know when the "AGI" gets bored and starts grinding through the "List of unsolved problems in mathematics" on its own and publishing original research that stands up to scrutiny.
THIS. If it has the whole corpus of research, math, physics, science etc to know how the world works and know it better than any human alive, it should be able to start coming up with new theories and research that combines those ideas. Until then, it's just regurgitating old news.
There's a pretty important question of how it did this.
If this model is more along the lines of what DeepMind is doing starting from scratch and building up learnings progressively, then depending on (a) how long it was running, (b) what it was fed, and (c) how long until it is expected to hit diminishing returns, then potentially solving grade school math might be a huge deal or a nothing burger.
It may be a good idea for CA state to step in, take control of that nonprofit and review a few months of the recent communications for violations of fiduciary duty for all the board members.
Saw a video of Altman talking about this progress. The argument was basically that this is a big leap on theoretical grounds. Although it might seem trivial to laymen that it can do some grade school math now, it shows that it can come up with a single answer to a problem rather than just running its mouth and spouting plausible-sounding BS like GPT does.
Once they have a system capable of settling on a single correct answer through its own reasoning rather than yet another probability, it it gets much easier to build better and better AI with a series of incremental improvements. Without this milestone they might've just kept on building LLM's all with the same fundamental limitations, no matter how much computing power they add to them.
I'm excited for when it can use it's large knowledge of data, science, research papers etc to understand the world so well that it'll be coming up with new technologies, ideas, answers to hard problems.
Yup, that would totally threaten humanity — with math problems instead of "find images of crosswalks" style capchas to the poing where humans will jusy give up /s
Well, solving the math problems today will be breaking crypto tomorrow, then using it to rent a lot of compute with stolen money, using that to fine-tune itself on every genomic database out there, then use its new capabilities to fold some proteins in its mind, send some e-mails to some unsuspecting biolabs, and tomorrow we're all grey goo.
> Given vast computing resources, the new model was able to solve certain mathematical problems, the person said on condition of anonymity because they were not authorized to speak on behalf of the company. Though only performing math on the level of grade-school students, acing such tests made researchers very optimistic about Q*’s future success, the source said.