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Joined 1 year ago
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Cake day: June 14th, 2023

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  • TLDR; the front side is 23% efficient, and the rear side 20% efficient.

    They don’t actually give an overall efficiency but it implies a total of 43%. They compare this to typical panels also at 23% efficient, so it’s really remarkable if true. Other emerging solar tech is up to about 32% but if that could also benefit from multiple layers then total efficiency could become insane.

    Seems a little too good to be true, really, but great if so.

    Edit: Yeah, I don’t think these efficiencies can be added like that. I guess the overall efficiency will depend on how reflective the ground under the panels is, and they will extract 20% of that. Maybe that’s why they don’t give an overall rating.



  • Yes, I don’t think people realise the scale of production involved. We’re currently producing about 8500 TWh of power with renewables annually (nuclear is about 2600 TWh), and adding about 585 TWh of renewables per year (this is steadily increasing). A typical nuke plant generates about 8.5 TWh annually, so we would need to be building 68 new nukes every year to keep up with renewables (at current renewable numbers). The cost and construction time is massively prohibitive for nuclear, uranium mining is pretty dirty and there’s some downsides of nuclear waste at present. Yes, there’s some emerging tech but we won’t be building many of those for some time to come.

    It seems unlikely nukes are a practical path to any significant contribution to new generation required and they will continue to fall behind. They can help but they’re not the magic bullet many people seem to think. Solar, wind and hydro will dominate in the medium term. I think they will ultimately make way for geothermal to dominate, maybe via plasma deep drilling like Quaise or PLASMABit utilise to potentially make bores up to 20 km deep, which opens much of the world up to being suitable.

    Fusion may become practical in the next 20 years or so, but that will also be ludicrously expensive, so also unlikely to make a meaningful contribution in the medium term either.









  • Well of course, putting it on the open internet is very intentionally making it available for everyone to see. If you don’t want everyone to see it, don’t put it on the open internet. The issue is what people do with it, not whether they can access it. Copyright forbids distributing copyrighted data. The entire point of that it is so that you can make it available to be seen but protected from people copying it. However, there is no distribution or storage of copyrighted material with an LLM - there is no copy. I think OpenAI will be OK, but these things are never certain when the big lawyers are let loose.

    Distributing the training dataset, though, that could well be a problem.