icyfox

There's been a lot of recent swiss efforts to curtail advertising. Off the top of my head:

- Zurich's parliament voted 58–57 last year to place limits on outdoor advertising (have 2027 to come up with implementation)

- Bern fully instituted the ban but reversed course over revenue concerns

- Vernier & Lancy have banned billboards

They certainly seem to have the appetite to reduce the size of the industrial advertising complex... but there's clearly some successful industry pushback (like in the case of Bern). Curious to see how this profiling shakes out. Hard to make a revenue loss argument so I'm guessing it'll pass.

1. Factory limits basically. There's a limit to the amount of fabrication lines that can create ram. Combined with the market incentives right now to make high bandwidth memory (HBM) over server memory (DRAM)... HBM starts as DRAM dies, so it competes with normal DRAM for wafer starts / cleanroom fab capacity.

2. Eventually more plants will come on line. Most of the main manufacturers have announced expansions but these can take O(years) to come online.

Not particularly. I'm not yet convinced people's mouse movements are unique enough to our identity that they're useful as a fingerprint, whereas it's very easy to classify whether something looks bezier or looks human.

Eventually I'm hoping to collect enough data here to train a biased decoding model, so you could input some randomized personality vector (which implicitly encodes slow movement, jerky motion, trackpad, mouse, etc) and have that impact the RNN generation. So in theory there would be infinite combinations from the larger subspace we're sampling from.

Could look into addressing this. What are you trying to achieve?

As far as I've seen, local OSS video understanding models just really aren't there yet. I briefly looked at facial recognition models but a good amount of signal was actually in the video's audio instead of the raw video frames. Depends on the accuracy you're looking for at the end of the day.

Digitizing my old tapes was one of the most rewarding side projects that I did over the last year. I managed to get in under the wire (pun intended) of Firewire compatibility on Sequoia and a long daisy-chain of adapters. But it was clear the days of this approach were numbered. I'm optimistic these 3rd party accessories will become more standardized into self-contained cheap boxes where people can easily transfer over their stuff before camcorders degrade.

My pipeline went camera -> dvrescue -> ffmpeg -> clip chunking -> gemini for auto tagging of family members and locations where things were shot.

We now have all our family's footage hosted on a NAS with Jellyfin serving over Tailscale to my parents Macbooks. I found the clip chunking in particular made the footage a lot more watchable than just importing the two-hour long tapes although ymmv.

I'm not commenting on the externalities. For that I'd also cite economic impact, job loss, occasional emergency services issues, etc. I'm saying the experience when you yourself are taking a ride. I haven't met a single person who's said "this sucked - I'm going back to Uber".

Waymo is such an interesting case study. For most other ~AI deployments you have strong public reaction to the proliferation of slop, non-human failure modes, cost cutting at the expense of quality, etc. But I haven't met a single person who doesn't like the experience of Waymo. They ended up cracking the code on what I suspect people really want:

- consistent car quality

- safety of the drive (conservative driving and potential fear of drivers)

- no randomly chatty driver

All of those feel like a breath of fresh air especially when stacked up against the current state of Uber & Lyft rides. People really just want consistency. I don't actually think you needed AI to get there (I've had occasional rides in black cars that provided the same experience). Waymo was just right time, right place, right price.