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Joined 24 days ago
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Cake day: January 15th, 2026

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  • https://en.wikipedia.org/wiki/Coventry_Very_Light_Rail

    This has a certain gadgetbahn-smell over it and I remain skeptical.

    Ditching catenaries for batteries make the vehicles heavier, requires them to be out of service for a part of the day to recharge and increases capex per vehicle instead of taking the capex on catenaries.

    The claims of autonomous driving seem dubious - this usually warrants a level of separation that’s rarely afforded to trams. It’s possible, but it for sure requires not cheaping out on the infrastructure.

    Ditching timetables in favour of some kind of demand-driven dispatch reduces the predictability of the network, and also seems unnecessary if the claims of autonomous driving are actually true. Maybe they have to cheap out on the amount of vehicles when making each vehicle more expensive with the batteries.

    Who knows, maybe the numbers work out better than what we can see here, but until then, I remain skeptical. I hope to be proven wrong.









  • So far, there is serious cognitive step needed that LLM just can’t do to get productive. They can output code but they don’t understand what’s going on. They don’t grasp architecture. Large projects don’t fit on their token window.

    There’s a remarkably effective solution for this, that helps both humans and models alike - write documentation.

    It’s actually kind of funny how the LLM wave has sparked a renaissance of high-quality documentation. Who would have thought?