timy2shoes

5 ms·

1.
by timy2shoes 2mo ago
Another compounding issue is that they had to package the vector into two parts, which then have to both infect the same cell to get any effect. Which means you have to at least double the dose to get similar coverage compared to a single
2.
by timy2shoes 2mo ago
Benchmarking that I've seen shows that the M5 Max outperforms the DGX Spark, e.g. https://www.reddit.com/r/LocalLLaMA/comments/1tfzsd6/m5_vs_d... or https://www.reddit.com/r/Loc
3.
by timy2shoes 3mo ago
They are paying for the existing earth-bound data centers SpaceXai owns.
4.
by timy2shoes 8mo ago
> He used xAI to move the Twitter debt so it couldn't be taken away for failure to pay debts. Exactly. I think it was obvious he was shifting the debt around when xAI merged w/ X right after xAI raised a large funding round an
5.
by timy2shoes 8mo ago
Probably in a desperate attempt to stall margin calls on the debt, which would cause him to have to sell his Tesla stock, which might start the freefall in stock price, creating a negative feedback loop and cratering his empire. See also th
6.
by timy2shoes 8mo ago
This is an opinion piece, similar to her infamous hardware lottery paper. We shouldn't expect a repo on an opinion piece.
7.
by timy2shoes 1y ago
My wife refuses to watch it because it hit too close to home.
8.
by timy2shoes 1y ago
Of course they are. Why would you want revenue? If you show revenue, people will ask 'HOW MUCH?' and it will never be enough. The company that was the 100xer, the 1000xer is suddenly the 2x dog. But if you have NO revenue, you can
9.
by timy2shoes 2y ago
A for-profit media company that foreign interests can pile money into for a quid pro quo, that’s somehow not legally a quid pro quo anymore.
10.
by timy2shoes 2y ago
The down rounds have started for those companies that either haven’t found product market fit, or aren’t in contention on leaderboards. Especially those companies that are a OpenAI wrapper and can be easily replaced by a new, more broadly a
11.
by timy2shoes 2y ago
The padding in healthcare is part of the system. One part is to have high prices so insurance can negotiate them down. And for hospitals in particular, prices are padded to subsidize emergency care for the indigent (which they have to provi
12.
by timy2shoes 2y ago
“the King stay the King.” —- D’Angelo Barksdale
13.
by timy2shoes 2y ago
Then take a Cauchy or a t-distribution. Basically anything with a longer tail than exp(x^2). The Gaussian summary will be misleading because of the tails.
14.
by timy2shoes 2y ago
They’ve chosen the path of commoditizing their complement. To ensure that ML capabilities are not a differentiating factor in the market, make ML capabilities a commodity available to everyone at the marginal cost.
15.
by timy2shoes 2y ago
Everyone talks about the chips, but Nvidia's true competitive advantage is CUDA. Only recently has PyTorch added AMD support, and benchmarks I've seen have shown that AMD has a lot of work to catch up.
16.
by timy2shoes 2y ago
From a practitioners perspective, I view this type of behavior as tuning the model more towards the exploitation side of the exploration/exploitation trade-off. I think a lot of recommendation engines do this (looking at you YouTube)
17.
by timy2shoes 3y ago
My wife and I visited Paris last summer and biked everywhere. It felt very safe, not as safe as Copenhagen but still safe. I hope that with more time, as more drivers get used to bikes on the road it will get safer and more people will bike
18.
by timy2shoes 3y ago
Hi Nishant. Great work, as always.
19.
by timy2shoes 3y ago
Was it Clauset, Shalizi, and Newman 2009? That’s the one I know, but I believe there’s many more, especially from Clauset. https://www.stat.cmu.edu/tr/tr853/tr853.pdf
20.
by timy2shoes 3y ago
I completely agree with your assessment and logic, but the parent posted suggested that socialization of healthcare (e.g. ObamaCare) is contributing to auto rates. That I don't understand.
21.
by timy2shoes 3y ago
> Socialize healthcare as it is forcing all sorts of market distortions I don't understand how you come to this conclusion. Can you explain?
22.
by timy2shoes 3y ago
My suspicion has been that SNP array data is not that useful for drug discovery. They’re targeting the most common/variable SNPs, which I suspect don’t have a large health effect (except for maybe late in life, otherwise how would they
23.
by timy2shoes 3y ago
Who are you and why should we take your questions so seriously?
24.
by timy2shoes 3y ago
Or Zymergen: https://en.wikipedia.org/wiki/Zymergen
25.
by timy2shoes 3y ago
There was a puff piece from Sequoia[0] that tries to make the case that he is an altruistic genius and it hasn’t really aged well. [0]: https://web.archive.org/web/20221027181005/https://www.sequo... (wa
26.
by timy2shoes 3y ago
“ The best summer intern that I ever hired” supports that the CTO was a better judge of the candidate.
27.
by timy2shoes 3y ago
It's interesting that the researchers chose example problems where the minimum norm solution is the best at generalization. What if that's not the case?
28.
by timy2shoes 3y ago
Every time someone says “this time it’s different” (e.g. 1998 internet bubble, 2007 housing bubble, 2020 crypto bubble, etc) time proves that this time was not really that different.
29.
by timy2shoes 3y ago
> Whether they'd pass they Howey Test or not is irrelevant. Not if you're the SEC enforcing securities laws, which only apply if they pass the Howey test.
30.
by timy2shoes 3y ago
It can also be the case where the interviewer doesn’t really understand the question and are going from prompts. So when you try to get further understanding of their hint from them, they just repeat the hint. I think this reflects poorly

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