4 ms·
> “He leaped at the chance” and “He jumped at the opportunity” are very similar sentences expressing the same general sentiment, but they are not the same. The
by bccdee 2mo ago
> “He leaped at the chance” and “He jumped at the opportunity” are very similar sentences expressing the same general sentiment, but they are not the same. The exact words we choose when writing matter. I want any LLM I use to choose the very best, most precise words at every single decision point.
Neither of these is "better" or "more precise"; in fact, LLMs will generally choose randomly between these candidates based on temperature, and SynthID should not distort the output of an LLM any more than the default temperature settings do already.
I agree that those are not the same sentences, but if the difference matters to you, you shouldn't be using an LLM. This difference exists at the level of what sounds better and is more evocative; to an LLM, nothing sounds like or evokes anything. They simply do not write good prose.
- slowin 2mo agoI’m more concerned that this will negatively impact code generation. An additional constraint completely unrelated to code quality is unacceptable as far as I’m concerned. I was an Anthropic user but now I’m looking at OpenAI or even better, open models.
- skort 2mo agoIf you're concerned about code generation, then learn how to actually write the damn code yourself!
- jweber123 2mo agoAccording to their article, these kinds of arbitrary choices don’t come up as often with code, so it’s less likely to have watermarks: https://www.anthropic.com/news/claude-text-watermark#:~:text=for%20a%20watermark.-,What%20about%20code?%C2%A0,-As%20we%20noted https://www.anthropic.com/news/claude-text-watermark#:~:text...
- bccdee 2mo agoUnless you're already manually setting temperature to zero on the models you work with, the deviation from the "optimal" path imposed by the watermark should be no greater than what you already get from the randomization.