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Joined 3 years ago
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Cake day: June 15th, 2023

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  • Those companies have extremely well developed propaganda machines. They have to sell their technology and products as benefits to governments (i.e. society) and solutions to chaos (i.e. crime and terrorism), and they have extremely well refined language to describe themselves in positive term. If you don’t look past the company line, it’s easy to believe that the skeptics and warnings are all just FUD from haters, especially when the propaganda pays your mortgage.

    Then Palantir goes and publishes an actual fascist manifesto…


  • To me, that’s the ‘fancy search engine’ mode of AI where it works well and basically focuses the human effort. A needle-in-haystack problem. It might still be missing things, but they’re things you’ve already missed yourself, so no loss.

    It’s different from asking Claude, for example, to create a new guest VLAN with limited internet access and access to only a specific service on the private network. For that, you have to 1) trust Claude because you lack the expertise to review, 2) spend time learning the config system well enough to review, or 3) already know the system well enough to check it. 1) just sounds bad. 2) sounds like Claude isn’t saving much time, but maybe helps focus the human where to study, and 3) seems like the human might have been able to just do the job in similar or less time than writing the prompt + reviewing the result.


  • I feel like the big mistake they continue to propagate is failing to distinguish among the uses of AI.

    A lot of hype seems to be the generative uses, where AI creates code, images, text, or whatever, or the agentic uses where it supposedly automates some process. Safe uses in that way should involve human review and approval, and if the human spends as much time reviewing as they would creating it in the first place, then there’s a productivity loss.

    All the positive cases I’ve heard of use AI like a fancy search engine - look for specific issues in a large code base, look for internal consistency in large document or document sets. That form lets the human shift from reading hundreds or thousands of pages to reading whatever snippets the AI returns. Even if that’s a lot of false positives, it’s still a big savings over full review. And as long as the AI’s false-negative rate is better than the human, it’s a net improvement in review.

    And, of course, there’s the possibility that AI facilitated review allows companies to do review of documents that they would otherwise have ignored as intractable, which would also show up as reduced productivity.









  • I have a n ESP32 with a thermocouple stuffed down my (gas) oven chimney, so I can tell what temperature it actually is (about 40°F/20°C cooler than the dial).

    I have one plugged into an addressable LED matrix, which has yet to get mounted, but will eventually be a closet/dressing light. There’s a few places where I’d like a ‘normal’ warm white light, with the option to switch to a blinding daylight for chores, and maybe a low-light, colorful animated nightlight.

    I have a Pi-0w reading temp/humidity/CO2 in a grow tent that’s a good candidate for ESP32-ification. I have an air quality sensor plugged directly into a Home Assistant server that could go on ESP32 if I wanted it in a different location. Humidity in the bathroom, with a controller for the bathroom fan is another good candidate.

    If I can come up with a good way to put them on battery, with a 6-12 month lifetime, then temperature in the attic, and on the input/output sides of the HVAC would be useful.



  • I was really intimidated by ESP32. Liked RPi, back in the 3b days, because I could comfortably sit in the python interpreter, play with sensor interfaces, and get immediate feedback of what & where I screwed up. Familiarity led me to RPi4 for libreelec and 0w for more sensors.

    Recently took the plunge on some ESP32s, though, and, just…wow. I mean, I’m going through esphome, but every sensor and control I’ve checked is just a couple of lines of YAML away. And low enough power that I’m starting to think about batteries. ESP32 is still pretty intimidating for noobs, but the ecosystem that’s grown up around it is fantastic once you get over that hump.


  • The problem isn’t necessarily corporate services - the problem is corporate services with no practical competition. If there’s an actual marketplace, then enshittification is limited, because you can just hop providers when service degrades. If there’s an actual marketplace, then you can hop providers when some government takes control your provider.

    Putting fun services behind the wall of ‘you must be this technically competent to participate’ isn’t going to fix the broken system.


  • So, these scientists were asked to evaluate a political question, “Is there a link between immigration and welfare support?” using a large survey dataset. Not like they were asked whether temperature data supported anthropogenic climate change. The 158 scientists were in 71 teams and did, collectively, of 1200 statistical tests.

    An overwhelming majority of all analyses found no link between immigration policies and support for welfare programs, regardless of investigator ideology. A handful of outlier models, where an effect could be found, show effects that correlated with the team’s politics, but it’s hard for me to look at the mountain of “no effect” conclusions and agree with the statement “politics predicted the results.” “Politics predicted the outliers,” OK.

    Actual study: https://www.science.org/doi/10.1126/sciadv.adz7173