Surely this should all have been behind the firewall and accessible only from a corporate device associated mac address?

Mind you even more amazing I was on youtube yesterday and a short film showing the first chapter of the brand new book (published really recently) that I was reading popped up.

Now I see that there is not only that film (in the DUST series) but also a miniseries someone has made...

https://www.youtube.com/results?search_query=antimemetics+di...

He's super interested in brain disorders and spins a good story about the trade offs of a terrible reaction to right angles in exchange for savant like powers of perception.

I think that the parent probably meant Henry VIII.

There, fixed it.

https://medium.com/gft-engineering/using-text-embeddings-and...

Validation is a problem here - you find relationships, but so what? Is it right.... I can't say. It is interesting though.

The other issue is that the value is more or less all in the LLMs (at the minute). For example, I built a data engineering toolkit using LLMs, it created synthetic data from examples, it created ingestion pipelines given different source filed and a target, it created data test rules. I liked my little toolkit and some people were impressed, but the value was all in the models that underpinned it. The crust of clever bits that added value was thin, very thin. Ok, we used the llms to generate some python that then created the synthetic data and testing rules to reduce costs, we had three or four "agents" that worked together to create the pipelines. We decorated target code with open provenance code to create provanance... But just by saying these things or letting you use the toolkit and you seeing what it made - that's enough for any half competent person to relicate it (with AI assistance) in an afternoon, or maybe a couple of afternoons. Maybe.

So, to create a viable company is going to take significant effort (if you can think of a value add) because the value add still has to be real.

Maybe these will crash and burn, but can folks identify the characteristics of an AI project that mean that it needs an expert running it and some smart engineers doing it?

Comments URL: https://news.ycombinator.com/item?id=46365548

Points: 2

# Comments: 0

I think it's more about someone trying to do the most good that was possible at that time.

I doubt he cares much about prizes or money at this point.