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datatrashfire

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i have to be honest, each time a friend or co worker has demod or explained their “smart home” setup, i have always been pretty underwhelmed. a lot of complex doodads, money, and seeming never ending troubleshooting, to solve what seem to me at least, as a bunch of narrow frivolous problems that don’t really inconvenience me very much.

i feel a lot of people in tech have this incuriously deterministic attitude about llms right now… previous <expensive capital project> revolutionized the world, therefore llms will! despite there really nothing to show for it so far other than writing rote code is a bit easier and still requires active baby sitting by someone who knows what they are doing

as a clickhouse architect, i can’t help but feel they would have been better served by understanding their db’s native capabilities better before jumping into implementing this.

row level access control, resource quotas, scheduling policies, session settings, etc. all could have been used in concert to achieve a very similar outcome with a dozen or so ddl/dcl statements.

premise is wrong. have seen a number of claude/codex disasters that never make it to production with clients, yet consumed an enormous amount of human time and bandwidth.

expertise and effort is and will continue to be for the forseeable future essential.

talk, like this, still cheap.

i think the author is pretty clearly making the point the trade off is not worth it to him. which is not all that suprising given that seems to match the preferences of most people given the popularity of apple hardware which has for a very long time been on the far end of the irreparable, but smaller, quieter, etc, spectrum.

No sympathy for Larry here! Just the point that development is going to coincide with some level of increased pollution. Even an electrified economy with 0 carbon emissions is going to be ecologically devastating after all the mountain top removal mining has gathered the materials to make it possible.

Am I missing something? Predicts AGI through continuous learning in 2032? Feels right around the corner to me.

But in all the other worlds, even if we stay sober about the current limitations of AI, we have to expect some truly crazy outcomes.

Also expresses the development as a nearly predetermined outcome? A bunch of fanciful handwaving if you ask me.

Fedora desktop is actually a really nice experience in 2025. I switched in maybe 2022, after getting annoyed by the surge in nagging. The last time I tried desktop Linux was maybe 2008. Things have come quite a long way since then.

None of the institutional market intelligence products I’ve ever worked on in nearly a decade of doing this do. Why? Cause they wouldn’t otherwise work.

Many APIs require specific user agents. Tools like curl impersonate require specific user agents.

- Scraping without a contact method, or at least some unique identifier (like your project's codename), in the user agent string.

This is a very effective way to make sure you won't get any scraping done!

Ingress pricing is indeed cheaper. POST is $0.005 per thousand requests on standard and $0.0025 on express one.

Egress and storage however are more expensive on express one than any other tier. For comparison, glacier (instant), standard and express are $0.004, $0.023 and $0.16 per GB. Although slight, standard tier also receives additional discounts above 50 TB.