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cavisne
searching PlanetScale…
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15 ms
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241.
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by
cavisne
3y ago
This is exactly the sort of attack this change is helpful for, as pip would not work at all on these machines. Probably the only way to stop these “social engineering” (as google characterized it) attacks.
242.
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cavisne
3y ago
Pretty sure 1Password has the same constraint. Lastpass did not but well... they dont have the best reputation anymore.
243.
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cavisne
3y ago
Isn’t it impossible to know if you haven’t had Covid once vaccinated? (Because you will test positive for antibodies regardless)
244.
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cavisne
3y ago
Imo Google (basically by accident) owns the best place social network for the next decade - YouTube. Human generated content will become rare and more valuable, which is why the remaining non walled gardens (Reddit and Twitter) are quickly
245.
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cavisne
3y ago
I have heard it only applies to Google and Facebook at this point in time. I doubt any other companies would be even capable of complying.
246.
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cavisne
3y ago
The "even for inference" thing has turned into a bit of a trap imo. Data parallel models scaled up for training and then could run on individual chips, but these massive model parallel models require a couple of chips directly lin
247.
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by
cavisne
3y ago
One interesting thing is if the model can’t fit into GPU memory (sharded across multiple chips) it would be much slower. So one chip would take more than a month. That’s why these clusters are so valuable, even with Nvidias margins they are
248.
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cavisne
3y ago
Wonder what the outcome for early employees looks like here? This is not a very big company and hasn't been around for very long. 1.3B is a lot of money
249.
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cavisne
3y ago
I feel like it must be a bad business in general. The fact that Azure also has a weird setup with godaddy managing the domains.
250.
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cavisne
3y ago
elastic inference comes to mind.
251.
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cavisne
3y ago
One subtle benefit of cutting edge routers, a lot of routers nowadays are WiFI mesh routers. This traditionally was not very good, but at least at the moment a mesh between routers over WiFi 6E (which most devices do not support) works real
252.
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cavisne
3y ago
Claude is a mystery/surprise to me. My mental model has been to train these cutting edge closed source models you need 1) Bespoke supercomputer (no public cloud will cut it) 2) Great dataset (which takes a long time to collect unless
253.
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cavisne
3y ago
The (sad) reality of GPU capacity in public clouds at the moment is your basically need a sales call and a reservation to get any capacity. So the on demand price is not really relevant, maybe thats why they excluded it.
254.
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cavisne
3y ago
Limited to 40 miles an hour and only allowed on freeways seem like incompatible constraints...
255.
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by
cavisne
3y ago
Its impossible to profitably mine crypto on a public cloud so anyone doing it is either stupid, or has no intention of paying (much more common!). Historically GCP/GAE has had a more generous free tier without credit card requirements,
256.
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cavisne
3y ago
Not literally though, it’s run by some company that is not Amazon.
257.
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cavisne
3y ago
I feel like that’s exactly what will happen, and this company would be well placed to benefit. Basically some European company licenses the “AWS” stack and follows instructions to build and operate the data center. Works in China, and even
258.
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cavisne
3y ago
The plug and charge protocol is open https://en.wikipedia.org/wiki/ISO_15118 While what you say is true about a gas station, I think a lot of the standard privacy arguments dont really hold for a car. Its literally ill
259.
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cavisne
3y ago
Ford has already announced they will support plug and charge on Tesla chargers also The whole paying on a terminal/using an app thing is the wrong approach I think. Ultimately to charge there is a handshake protocol between two compute
260.
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cavisne
3y ago
Maybe because they have actually used an electric car? CCS is not fit for purpose, even more so the CCS chargers. https://www.youtube.com/watch?v=fq0RAjJ1PKQ They are absolute garbage hardware with a clunky, fragile connect
261.
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cavisne
3y ago
The situation is even worse as the cable length on the supercharger and the port placement on non Tesla evs means every non Tesla blocks 2 chargers. Hopefully something ford sorts out when they embed the port in 2025.
262.
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cavisne
3y ago
Yes and to be eligible for that they needed to support at least 2 automakers. This gets them there without having to retrofit stations with ccs
263.
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cavisne
3y ago
Gaming class GPU's provide much better $/FLOPS (ie a 4090 is ~5x better value than a H100) https://timdettmers.com/2023/01/30/which-gpu-for-deep-learni... Nvidia forces corporations to buy datacente
264.
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cavisne
3y ago
The Uber example seems like a stretch. If 28% of america uses it monthly, its probably comfortably a majority when you stretch to yearly (ie airport trips). Especially if you extend it to include Lyft. Rideshare has comfortably replaced tax
265.
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cavisne
3y ago
A lot of this was manufactured, it came out recently that NYT has a top down editorial policy that tech cannot be portrayed in a positive light https://twitter.com/KelseyTuoc/status/1588231892792328192 I'm su
266.
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cavisne
3y ago
Interestingly the actual judgement is significantly higher (still single digit millions). I dont really know what a "Statement of Financial Condition" is but I assume it means they are taking basically all the money these companie
267.
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cavisne
3y ago
TPU's have a TPU-TPU interconnect that is faster and lower latency than any GPU cluster [1]. That said this is a huge leap for GPU's on GCP. For A100's SOTA is 1.6tbit per host over Infiniband (which azure and some smaller gp
268.
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cavisne
3y ago
The author makes some good points but I would be wary of the motivations. Open AI's "moat" is they have got ~400 researchers to work in roughly the same direction, not working on their own projects with the sole aim of publis
269.
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cavisne
3y ago
Is MLIR a “huge success?” Is it involved at all in the Python ->PyTorch -> nvidia gpu path that dominates ml today?
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cavisne
3y ago
I guess their argument is the reason those things suck is because they are hooking in some c++ monstrosity (tensorflow) or making rpcs to an external daemon (redis, horovod). So rather than writing another Python wrapper over c++ they are m
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