That means are they trustworthy, or simply said true.

There is a science behind getting computers to produce reliable and correct results.

Current AI products still do not conform to that goal and therefore are not usable.

Instead of making this tech usable behind closed doors, they are selling unfinished products that produce errors and people are already dying from it!

It seems to be of more importance to test the product presented on this issue instead of drawing pictures.

Please use your professional skills for something useful, thank you very much!

This type of product would not have been published in a world where we assumed that computers must produce reliably correct results.

A) How to prevent malicious injection of bad training data?

B) How to handle copyright violations, will participants be responsible and will they have to pay the creators?

C) Can this create an income stream for content creators and how to avoid abuse, eg feeding with AI content?

So many more, but let’s focus on these before we break things fast because we didn’t think about them.

Yes, of course there are still users out there that execute all software under the same account.

Inability to use the tools at hand to protect your data is not a technical issue.

You can do both, achieve a cool retro style and publish in a more modern format that supports multiple output devices.

With the recent security related events we already see that it seems to be wide spread practice that many operators avoid the hassle of isolating their agents.

It is just an incredible cultural experience to see how quick stupidity gets accepted as a behavioural default.

Comments URL: https://news.ycombinator.com/item?id=49020967

Points: 3

# Comments: 0

   However, the overall capability of the chatbot to fully meet user needs received a lower average score (3.1/5.0), highlighting the need for further improvements.

   Live traffic evaluations are essential for monitoring system behavior, identifying potential issues like hallucinations in production, and understanding performance on diverse live queries.

Would be interesting to know how much money was flushed down the toilet with these experts.

This is a fundamental issue and for many uses we still need the old school way of computing that produces reliable results. It doesn’t happen accidentally, you know, a lot of resources went into this. AI just isn’t there yet and probably won’t be there anytime soon, no matter how much compute we throw at it.