Because contrarily to the author's assumption, all labs, Western or not, have sufficient skills to discover the optimizations anyway, and publishing or not is not actually that important?
570 karma · joined May 6, 2017
Because contrarily to the author's assumption, all labs, Western or not, have sufficient skills to discover the optimizations anyway, and publishing or not is not actually that important?
If there was any sort of coarse insight that "they're trying to solve it this way", then both those things can be true:
- The massive amount of compute from OpenAI re-discovering Buckmaster's work solely from the coarse insight (and solving the rest as well).
- OpenAI still acknowledging they basically scooped the coarse insight using compute, and they're willing to credit Buckmaster.
Buckmaster says "Concretely, what Levent and I did was to take the Cordoba and Martinez-Zoroa program, which achieved blowup results with rough forcing, and, with a great deal of help from LLMs, push it to smooth forcing and to the incompressible Euler equations".
Could that simply be the prompt they used at OpenAI? How "stolen" would the proof be in that case?
All models in the leaderboard probably have had access to the original source code in their training data.
If the only argument for a piece of tech in comparison to another one is "future-proofing", that's pretty much acknowledging the other one is simpler to setup and maintain.
Which is basically phishing:
> The meeting link itself directed to a spoofed Zoom meeting that was hosted on the threat actor's infrastructure, zoom[.]uswe05[.]us.
> Once in the "meeting," the fake video call facilitated a ruse that gave the impression to the end user that they were experiencing audio issues.
> The recovered web page provided two sets of commands to be run for "troubleshooting": one for macOS systems, and one for Windows systems. Embedded within the string of commands was a single command that initiated the infection chain.
ChatGPT has 800 millions monthly active users currently, out of 8 billions humans.
My experience is that treating the generated code as a Merge Request on which you submit comment for correction (and then again for the next round) works fairly well.
Because the AI is bad you get more rounds than in a real code review, but because the AI is fast and in your command each round is way faster than with a code review with a human (< 10 minutes feedback loop).