I do not fully understand the complexity behind achieving full-duplex but I hope this sets the bar for Anthropic to follow. Turn-based simplex is yesterday.
The main problem with these SQL calculations is that they are deterministic shortcuts for a probabilistic problem. Fraud is not usually a “true because rule X matched.” It is more like "what is the probability this is fraudulent"? SQL patterns are useful, but they are blunt instruments. I really don't think banks use deterministic heuristics but more data science stuff.
Another stupid meme-latching name. Don't normalize these *maxxing nonsense words and just use plain language. Let's see, maybe just say they were optimizing for token count?
This kimi website, it looks like a stylesheet from the 90's. They could learn a thing or two about typeface design. Steve Jobs would be incensed at this.
> As they did so, they also learned how to improve the prompts they gave AlphaEvolve. One key takeaway: The model seemed to benefit from encouragement. It worked better “when we were prompting with some positive reinforcement to the LLM,” Gómez-Serrano said. “Like saying ‘You can do this’ — this seemed to help. This is interesting. We don’t know why.”
Four top logical people in the world are acknowledging this. It is mind-blowing and we don't know why.