I’d say two big differences are 1) human vs machine (especially when you get to the scale of something like Delta airlines) and 2) you have a lot more power in the negotiations you described! Basing it on 5 years of purchases and historical data isn’t a negotiation—it’s a “my way or the highway”

This is an interesting way to think about it. I would argue that flat pricing wasn’t for efficiency but “fairness”.

And also point out that AI driven price discrimination isn’t anywhere close to negotiated. You’re stuck with the price the machine gives you, with little to no recourse, short of rewriting your entire digital life!

Curious about the 100 pushups program app — do you have a particular one you like that you can share?

Edit: Followed the github issue and found the link!

A lot of apps allow you to AirPlay to multiple devices at once — would be neat to put this on a bunch of iphones to simultaneously play music

Any suggestions for such apps? I'm planning using something like this for a silent disco...

> I just assumed Vanta (the company) was doing a Show HN today and was confused at first glance

Did the title of the post change? At first glance the Show HN is a toy wireshark program very far from any Trust Management and compliance

Yes, we changed it to try to ward off off-topic discussion about the name.

The world is a big place. I bet this kid had no idea that the name was "taken"—either that or they assumed their project was so obviously different that no one would care.

Little did they realize that internet discussions go into seizure about names under all too many conditions.

I think the biggest hurdle would be complying with the TOS. Imagine that OpenAI etc would not be a fan of sharing quotas across individuals in this way

How does it differ from pretty much every SaaS app that's using OpenAI today?

Anecdotally, I completely agree that consumption of media has shifted since the pandemic and could reasonable explain this gap

In a sense, the macro trend is irrelevant and mainly used as a talking point by the media.

Individuals experience the world from an individual level — it is easy to go along with any trend that fits your desired narrative because until it is at odds with your individual experience, it doesn’t really matter.

(I’m being a bit reductive and haven’t fully fleshed out this thought, but think the sentiment is accurate)

In my view, macro trends are important if you're trying to formulate policy or debate about it.

> Essentially we needed to teach LLMs (which are paid by the token) to only generate a small number of high quality comments.

The solution of filtering after the comment is generated doesn’t seem to address the “paid by the token” piece.

It may be a step forward in terms of gathering data and defining the filter, but pushing up this filter might be expensive unless there's enough volume to justify it.

I took it as a comment on that generally models will be biased towards being nitty and that's something that needs to be dealt with as the incentives are not there to fix things at the origin.

Something to consider is that it really could take 20+ years to train like a brain. But once you’ve trained it, you can replicate at ~0 cost, unlike a brain.