Comments URL: https://news.ycombinator.com/item?id=47663784

Points: 2

# Comments: 0

Facebook employees, journalists and psychologists have studied the phenomenon and Facebook's (as well as Youtube's) response is always the typical "We have done something" to calm the protest, but it's never really the case. It's a constant game of deflecting, delaying, diminishing, denying.

If you look at the graph, the number of bank tellers from 1980 to 2010 went from roughly 500k to 550k (a 10% increase). However, the U.S. population grew from 220M to 305M in the same period (a 40% increase). To me, that seems to indicate that less and less people were becoming bank tellers after the invention of the ATM. Although from the graph again, you can see that the correlation is quite poor anyway.

I admit, my knowledge of reinforcement learning is a bit outdated so it seemed to me that it was unattainable for a non-specialized model to train efficiently on something like chess, which has a huge state space.

It is not uncommon for me to read a recently published review and find 2-3 interesting papers in the lot. Plus the daily Google scholar alerts. It can definitely be beneficial to have a LLM summarize a paper. Of course, at this point, one should definitely decide "is this worth reading more carefully?" and actually read at least some parts if needed.

- As you mentioned, the message bot thing was kind of cool. - It can browse the internet and act (like posting on MoltBook, which I tried). - It has a a permanent "memory" (loads of .md files, so nothing fancy). - It can be schedulded via cron jobs.

Overall, nothing really impressive. It is very gimmicky and it felt very unsafe the whole time (I had already read about the security issues, but sometimes you gotta live dangerously). The most annoying part was the huge token consumption (conversations start at 20k+ because of all the .md files) and it cost me roughly $12 for a few hours of testing.

https://clackernews.com/item/675

I also was under the impression that queries cost were mostly meaningless, but it seemed only is true for fresh sessions and short queries. I have to say, the result is less dramatic than I expected but still more significant for heavy users (such as myself).

The value of a piece is definitely not completely tied to its physical attributes, but the story around it. The story is what creates its scarcity and generates the value.

It is similar for collectible items. If I had in my possession the original costume that Michael Jackson wore in thriller, I am sure I could sell it for thousands of dollars. I can also buy a copy for less than a hundred.

Same with luxury brands. Their price is not necessarily linked to their quality, but to the status they bring and the story they tell (i.e. wearing this transforms me into somebody important).

It can seem quite silly, but I think we are all doing it to some extent. While you said that a good forgery shouldn't affect one's opinion on the object (and I agree with you), what about AI-generated content? If I made a novel painting in the style of Van Gogh, you might find it beautiful. What if I told you I just prompted it and painted it? What if I just printed it? There are levels of involvement that we are all willing to accept differently.

The whole synthesis pipeline requires so much specific equipment and knowledge that at your kid in his/her basement would actually need a whole lab. By the way, good luck purchasing any consumable on sigma from your basement without accreditation. And I hope you have deep pockets because cell medium is expensive.

- A lot of high-quality data - Some careful design - (Not always) some external knowledge to guide the solutions

And this is using specialized NNs for physics, where you often know underlying equations. Kind of crazy that some people are so delusional about that.