0: https://claude.ai/settings/usage

It is a pity though. For less than an hour of setup the Nanoclaw bot proved enormously useful at tracking meal times, training progress, etc and the interface was easy enough for the family to get involved. The ease of setup was really remarkable, and Anthropic creating artificial barriers just seems user hostile.

You can configure the storage template for the photos and include an "album" part, so if a photo is in some album it'll get sorted into that folder. Then the file tree on disk is as you wish.

I haven't tested what it does when a photo is in multiple albums, but it does handle the no album case fine as well.

In the context of having a phone stolen, it's possible to at least limit the damage and revoke accesses via the Tailscale control server. Then the files on device are still vulnerable, but not everything in Immich (or whatever other service is running).

Immich really is fantastic software, and their roadmap is promising. I hope they have enough funding to keep going.

Offline support is alright, though I haven't worried about this much. I think it doesn't do any local deletion, so whatever stays in your DCIM folder is still on device.

My partner isn't very technical, but having an Immich server we are both invested in has gotten her much more interested in self hosting and the skills to do it.

That is to say, the real conflict isn't between boomers and millennials, it's between billionaires and everyone else. But generational friction is not new, a more common experience, and easy to exploit in media.

0: https://www.federalreserve.gov/econres/feds/files/2024007pap...

I'd be very open to any Firefox extension suggestions (or standalone applications that can consume a Firefox history) that makes it more searchable. I don't often need to search my browser history, but when I do the answer is rarely easy to find.

All of the other features look like a high potential for abuse, but with lots of glitz to make it seem essential to laymen.

Flexible seat back pockets are easy for people to stuff all kinds of trash in, so that's just one more task for the crew. Inflexible slots are harder to put trash in, and harder for passengers to notice there's trash in.

I was working with a team that was wrapping up a period of many different projects (including a reverse geocoding service) and adopting one major system to design and maintain. The handover was set to be after the new year holidays and the receiving teams had their own exciting rewrites planned. I was on call the last week of the year and got an alert that sales were halted in Taiwan due to some country code issue and our system seemed at fault. The customer facing application used an address to determine all sorts of personalization stuff: what products they're shown, regulatory links, etc. Our system was essentially a wrapper around Google Maps' reverse geocoding API, building in some business logic on top of the results.

That morning, at 3am, the API stopped serving the country code for queries of Kinmen County. It would keep the rest of the address the same, but just omit the country code, totally botching assumptions downstream. Google Maps seemingly realized all of a sudden what strait the island was in, and silently removed what some people dispute.

Everyone else on the team was on holiday and I couldn't feasibly get a review for any major mitigations (e.g. switching to OSM or some other provider). So I drew a simple polygon around the island, wrote a small function to check if the given coordinates were in the polygon, and shipped the hotfix. Happily, the whole reverse geocoding system was scrapped with a replacement by February.

If major cuts essentially leave a skeleton crew, or no crew, for an extended period of time would later reinvestment be able to put the observatories back to use with only lost time? Or do these things need constant remote maintenance to stay operational?

Very much a comedy of the 70s rather than an earnest silent film from the 20s/30s. It's a silent movie about making a silent movie -- in my opinion, peak Mel Brooks.

A later employer was in the hiring tech space, enabling this kind of take home exercises. Lots of time was invested into getting signals as the developer was doing it because everyone knew that's just as valuable, if not more, than the final solution. But many companies using these take-home exercises do it just to filter out candidates. To them, it's a proof-of-work system that helps regulate the intake of their hiring funnels.

True to form, with an appointment I waited 3 hours at the office and watched the guard staff turn away countless people. Finally saw a person, gave then my passport, and finished in a minute.

The super verbose chain-of-reasoning that o1 does seems very well suited to logic puzzles as well, so I expected it to do reasonably well. As with many other LLM topics, though, the framing of the evaluation (or the templating of the prompt) can impact the results enormously.