There could still be more unknowns that I did not encounter and by definition don't know about.

And the final output could be wrong, wording, exact legal terminology etc.

Can we say working with an actual lawyer is guaranteed to be better, more correct? Lawyers are people and they also make mistakes, wake up on the wrong side of the bed, hate their job etc, just like the rest of us.

I had start with asking for a contact with some details I provided. But then I ask the model to be an experienced corporate lawyer and ask me a series of questions to gather the details it needed and then write the contract. The result covered a lot of details that were highly relevant but were absent from the original attempt.

The key insight is that you can lean on the model to cover your unknown unknowns.

It is possible to reduce token usage. It’s just much harder than the basic approach.

It's understandable, I'm aware of my limited time.

But a major drawback is that it reduces random exploration / serendipitous discovery by trying unknown things out and sometimes being positively surprised. I have always found that kind of intellectual and physical wandering to be hugely valuable in creating alpha.

How do you deal this?

Comments URL: https://news.ycombinator.com/item?id=49589479

Points: 5

# Comments: 5

Separately, I've been wondering how uneven human progress is. I think we have come a long way in electronics (relays to vacuum tubes to transistor to … to an M5 chip) but in some other domains, like moving objects through space, we are basically mostly reliant on thrust generated by burning fuel (EV's are a genuine advance, but mostly due to battery tech).

Don’t take this as an argument against these technologies. It’s a huge win to not be increasing the CO2 concentration in the atmosphere by burning fossil fuels.

I have found that sometimes a smaller model with max reasoning is actually more expensive than using the next tier model with a lower reasoning effort. It’s certainly faster.

But for writing, I usually see the advice that says you should read a lot instead of write a lot. What gives?

OTel looks like something designed by a committee of committees, funded by someone who is in the business of selling cloud storage/data warehousing services.

An example iirc was waiting for luggage at the airport. It takes min of x minutes for the first bags to show. In one version, passengers went directly from the gate to the luggage carousel and waited x mins for the first bag → unhappy. Then the airport decided to add a long, round-about "walk" path from the gate to the luggage area that burned some of those minutes → same total "wait" but happier passengers.

When we solve problems we usually follow a heuristically guided energy efficient path. We just prune a lot of possibilities based on our existing knowledge and experience.

Creativity happens when we consciously (or not) go off the beaten path and explore. Most of those explorations are dead ends. But some will yield unexpected connections, patterns etc that we call “creativity” .

An AI system could also go on those kinds of explorations. Today they aren’t it because we are not asking them to.