[–] 13 points 23 hours ago

Never used them because their software wasn't open source, and thus meant I would be unable to switch to another provider. Seems I made the right choice.

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  • [–] [S] 15 points 2 days ago

    Our findings suggest structural deficiencies in the ParticleDB QA process. Perhaps tests were not run prior to release. Perhaps the test suite was run, but failed to exercise basic functionality. Perhaps engineers entrusted Large Language Models with the work of testing.

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  • [–] 4 points 3 days ago* (1 child)

    Could this be related tot the increased import taxes in the EU? They increased the taxes on small individual items (previously exempt) from outside the EU which drastically increases prices of items bought from Temu and Aliexpress. I recently looked for some Zigbee sensors on AliExpress and it was significantly more expensive than before (but still much cheaper than the dropshippers in the EU).

    2026-06-30 | EU ends tax loophole exploited by SHEIN, Temu, and Aliexpress

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  • [–] 11 points 1 week ago* (last edited 6 days ago) (2 children)

    I've been following r/decomps recently. Several times a day someone posts a new AI-generated decompile, seemingly by AI agents sent off on a mission without any guidance, effort, or proper setup. I expected the tools / harnesses to develop first before seeing results like this. It's insane that models have these abilities while still being based on what is fundamentally just text generation.

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  • [–] 17 points 1 week ago

    I mean, obviously, but I guess the only reason they're saying this is because their own models aren't that great (IBM granite sucks) and this way they can still sell consulting services.

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    Americans now oppose new AI data centers by roughly three to one, ranking them below coal plants and nuclear power stations, and towns across the country are passing moratoriums faster than tech companies can build. In this video, I look at the data center backlash: what holds up in the complaints about water, noise, and electricity bills, why the tech industry’s cash offers keep failing, and how xAI powered its Memphis supercomputer with a fleet of unpermitted gas turbines. Then we follow the money, from CoreWeave’s distressed credit default swaps to the investment-grade bonds landing in pension funds, and ask who is actually holding the risk if the AI boom turns out to be a bubble, with a look back at the railroad bubble of 1873.

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