[LASR]

Honestly, GPT-4o is all we ever needed to build a complete human-like reasoning system.

I am leading a small team working on a couple of “hard” problems to put the limits of LLMs to the test.

One is an options trader. Not algo / HFT, but simply doing due diligence, monitoring the news and making safe long-term bets.

Another is an online research and purchasing experience for residential real-estate.

Both these tasks, we’ve realized, you don’t even need a reasoning model. In fact, reasoning models are harder to get consistent results from.

What you need is a knowledge base infrastructure and pub-sub for updates. Amortize the learned knowledge across users and you have collaborative self-learning system that exhibits intelligence beyond any one particular user and is agnostic to the level of prompting skills they have.

Stay tuned for a limited alpha in this space. And DM if you’re interested.

[bGl2YW5j]

What you're describing sounds a lot like traditional training of an ML model combined with descriptive+prescriptive analytics. What value do LLMs bring to this use case?

[LASR]

Ability for normal people to set up reasoning chains.