RainbowcityKun

4 ms·

1. 1.▲
   by RainbowcityKun 1y ago

   I want to clarify first: I'm not trying to defend "evolutionary theory" itself — what I'm pointing out is: > Mutation, chaos, and randomness may actually be the fertile ground where biological diversity emerges. At t
2. 2.▲
   by RainbowcityKun 1y ago

   - Cells work like this because DNA is under constant attack from mutations. - Mutations most commonly arise during cell replication. It's fascinating to realize that the "messiness" of DNA isn't a bug, but a feature—a si
3. 3.▲
   by RainbowcityKun 1y ago

   What I mean is that more powerful engineering capabilities are needed to provide LLM with processing of search results.
4. 4.▲
   by RainbowcityKun 1y ago

   Right now, most LLMs with web search grounding are still in Stage 1: they can retrieve content, but their ability to assess quality, trustworthiness, and semantic ranking is still very limited. The LLMs can access the web, but they can&#x27
5. 5.▲
   by RainbowcityKun 1y ago

   That’s a powerful point. In my view, we shouldn’t try to constrain intelligence with more logic—we should communicate with it using richer natural language, even philosophical language. LLMs don’t live in the realm of logic—they emerge from
6. 6.▲
   by RainbowcityKun 1y ago

   A lot of discussions treat system prompts as config files, but I think that metaphor underestimates how fundamental they are to the behavior of LLMs. In my view, large language models (LLMs) are essentially probabilistic reasoning engines.