It'll be virtually impossible to short sell the stock within the first month due to lockups, and it'll take 180 days for all the pools to be available: then, we'll have a more-or-less "accurate" price, as you put it.

The landed gentry want you to believe that they can't be touched unless you're willing to kick your grandmother to the street, but we can absolutely write taxes that apply more narrowly, and sensible tax policy leads to better outcomes and fewer market distortions than hamfisted regulation.

It'll absolutely be interesting to see if "Google" or "Gemini" appear anywhere in the new Siri UI.

Nobody is talking about this because it's not a thing.

People here will shit on LLMs all day for being confidently incorrect, then upvote aggressively financially illiterate comments like this.

Many years ago, I had a couple drinks with a guy from Netflix who worked on their video compression processes, and he fully convinced me they're squeezing every last drop out of every bit they send down the pipes. The quality is not great compared to some other streaming services, but it's actually kind of amazing how they're able to get away with serving such tiny files.

Anyway, I think we can expect these companies to mostly max out the resultant video quality of their bitstreams, and showing the average bitrate of their pricing tiers would be a great yardstick for consumers.

Arguably their most AI-centric product line to date, and also their largest flop in recent history.

I know that used to be the case a few years ago at least, but I'm not sure if it's still true.

One example:

> The crossfeed feature is great for classic tracks with hard-panned mixes. It takes instruments concentrated on one channel and balances them out, creating a much more natural listening experience — like hearing the track on a full stereo system.

https://us.sennheiser-hearing.com/products/hdb-630

Their pitch was basically: "Nobody has time to sit down and watch a whole TV show anymore, that's why the short form content like Instagram and TikTok is doing so well - we're going to make TV shows to compete with those platforms that you can watch while you're waiting in line for a coffee!"

They got like billions of dollars in runway because the idea resonated so deeply with the boardrooms full of executives that they were pitching to, but the idea was completely dead on arrival. Normal (non-career-obsessed) people actually have a TON of free time. They chain-smoke entire seasons of shitty reality TV in one sitting. They plop down on the weekend and watch sports for hours on end, not on a phone, but on an actual TV in their living room.

I definitely agree that a ton of these AI use cases seem hyper-tailored to the executives running these companies and the investors that are backing them, and may not resonate at all with the broader population nor lead to widespread adoption.

When automated solutions fail in strange alien ways, it understandably freaks people out. Nobody wants to worry about if a car will suddenly serve into oncoming traffic because of a sensor malfunction. Comparing incidents-per-miles-driven might make sense from a utilitarian perspective, just isn't good enough for humans to accept replacement tech psychologically, so we do have to chase those 9s until they can handle all the edge cases at least as well as humans.

When we look at the "apple zone" part of an AI model that lights up, we see it in way higher resolution than our best scans of the human brain, and this might tell us something about how apples are perceived by both systems, or how language is represented neurally, or any number of other things.