I do wonder if there are tasks where 16k garbage words/s are more useful than 200 good words per second. Does anyone have any ideas? Data extraction perhaps?
Careful though, this test explicitly only tests the charge and discharge capabilities of the battery, not whether it's a solid state battery or not. According to ChatGPT, these results would in theory also be possible with a normal Li-ion battery. I am really hoping this is real though! And waiting for further tests.
FPV lipo batteries can charge at 5c all day, you might be able to get away with 11c for a few charges before degradation or becoming spicy. Agree that this proves nothing useful.
Presumably most people also do not use their full quota when using the official client, whereas third-party clients could be set up to start back up every 5 hours to use 100% of the quota every day and week.
It's the whole "unlimited storage" discussion again.
They did, but Uber is no longer cheap [1]. Is the parent’s point that it can’t last forever? For Uber it lasted long enough to drive most of the competition away.
Uber's in a business where you have some amount of network effect - you need both drivers available using your app, as well as customers hailing rides. Without a sufficient quantity of either, you can't really turn a profit.
LLM providers don't, really. As far as I can tell, their moat is the ability to train a model, and possessing the hardware to run it. Also, open-weight models provide a floor for model training. I think their big bet is that gathering user-data from interactions with the LLM will be so valuable that it results in substantially-better models, but I'm not sure that's the case.
Their other genius was to operate illegally, make the service so popular that politicians had no choice but to change the laws, and in the process make taxi licences, that used to cost as much as a house, worthless.
At least part of the funding went to research on hard science related to VR, such as tracking, lenses, CV, 3D mapping etc. And it paid off, IMO Meta has the best hardware and software foundation for delivering VR, and projects like Hyperscape (off-the-shelf, high-fidelity 3D mapping) are stunning.
Whether it was worth it is another question, but I would not be surprised is recycled to power a futuristic AI interface or something similar at some point.
Even within the XR industry, we had no clue where all that money went. During the metaverse debacle, the entire industry stagnated. Once metaverse failed, XR adjacent shops started to fail. There was no hardware or technique innovation shared with the rest of the industry, and at the time the technology was pretty well settled.
Since then we lost all the medium players and it's basically just Facebook, Valve, and Apple.
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