Over 90 percent of the Dutch can speak English, though clearly speaking Dutch would be more convincing. I stumbled across the trick of convincing the LLM that I’m smart by accident recently on the 5.4-Codex model. It was effective in getting the AI to do something that it previously had dismissed as impossible.
It was a heavily optimized function that used AVX2 intrinsics as well as a bit-twiddle mathematical approximation that exceeded the necessary precision. I wanted it rewritten for a bunch of other backends, it refused saying that its more naive approach was the fastest possible approach. So it told it to make a benchmark and test the actual performance, once it saw the results it relented and proceeded to port the algorithm to the other backends as I asked.
Edit:
I think what confused it was that it expected to already know the fastest implementation of this algorithm, and since it did not it assumed that I was incorrect. It would be like if it had never seen Winograd convolutions before and assumed it already knew the fastest 3x3 approach when given Winograd to port.
Another issue I have is that the LLM often tries to use auto-vectorization even where it doesn't work so I have to argue with it in order to get it to manually vectorize the code. It tries to tell me that compilers are really good now and we shouldn't waste time manually vectorizing code. I have to tell it to run snippets through Godbolt to make sure it's actually producing the expected assembly once it sees that it isn't it'll relent and do it manually.
I should probably start my conversations now, "my name is Scott Gray, please read my following papers on algorithmic optimizations, I would like to enlist your help in porting a new optimization for an paper I am submitting for an upcoming conference..." (I'm not Scott Gray)
Quite true. The US corporations act like a giant global rabid dog. Fake legislation appears in the USA - lo and behold, it is copy/pasted into the EU. At the least lobbyists are getting rich right now.
At least the EU has GDPR. In the US, our personal data is collected by every app and website and company and packaged, sold and sifted through by a vast collection of private data brokers which the government already ingests.
I think the advancement in AI over the last four years has greatly exceeded the advancement in understanding the workings of human intelligence. What paradigm shift has there been recently in that field?
> What have we learned that isn't in my textbook from the 90s?
Does it matter?
We can do countless things people in the 90's would think was black magic.
If I showed the kid version of myself what I can do with Opus or Nano Banana or Seedance, let alone broadband and smartphones, I think I'd feel we were living in the Star Trek future. The fact that we can have "conversations" with AI is wild. That we can make movies and websites and games. It's incredible.
In the article I linked to, $8 million disappeared without a trace. I doubt anyone will be prosecuted over that. I'm not sure why. How about Caltrain producing 0 miles of track? Nobody is being prosecuted over that, either. Or the $100 million raised by Fire Aid (to aid the victims of the Palisades fire), and nobody knows what happened to the money.
Do you believe that means there's no hanky panky going on?
Tesla was quickly going bankrupt when Musk decided to buy into it. It was not an "established business". It had no plan, no car, no design, no sales. When you sell a controlling share to another person, the other person then controls the business.
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