vladislav

7 ms·

1.
by vladislav 5y ago
It's pretty easy to make $100K per year doing consulting at half-time or less, and have 50% or more time left-over to do whatever you want. If there is any argument about staying in academia, it cannot be rooted in financial considerat
2.
by vladislav 5y ago
To play devil's advocate, the value these prestigious journals provide is providing an objective function to optimize allocation of resources in academia. To advance one's career in academia, one needs to publish in prestigious jo
3.
by vladislav 5y ago
The model probably takes into account the state as a variable, and states vary as far as average hesitancy goes and in terms of vaccine distribution strategy.
4.
by vladislav 6y ago
Unlikely due to the buyers also being sophisticated. "Sequoia and Steadfast Financial bought shares at a $5 billion valuation from some of Zapier’s original investors."
5.
by vladislav 6y ago
It's strictly speaking correct in that the $5B valuation was established purely on the secondary market and only from sales of shares of investors (not common holders), which doesn't give the company any VC funding. Also $1.3M in
6.
by vladislav 6y ago
Not advocating for the pool idea but that reasoning is generally incorrect. Decreasing personal capital/timing risk actually increases founder risk tolerance for bigger outcomes for their startup. Investors should want founders to be h
7.
by vladislav 6y ago
Impressive to a human is a highly subjective property. Humans generally consider the understanding of language to be an intelligent trait, yet tend to take basic vision which took much longer evolutionarily to develop for granted. Neural ne
8.
by vladislav 6y ago
"The mistake SoftBank made wasn’t investing in them, it was investing at a valuation that grossly overestimated the size of the opportunity, and how quickly they would see their return." That doesn't say much. When you'r
9.
by vladislav 6y ago
Great companies require a great deal of conviction. Waiting two years because it's harder now isn't a conclusion one draws from such a standpoint.
10.
by vladislav 6y ago
If you're doing something for which the opportunity cost of waiting two years is not very high in the first place, perhaps it's not worth doing at all.
11.
by vladislav 6y ago
The Spanish flu had a smaller outbreak in the Spring and came back with a vengeance the following Fall, so hold that thought. https://www.history.com/news/spanish-flu-second-wave-resurge...
12.
by vladislav 6y ago
Pretty much my experience as well moving from Russia to the US. Team sports and social deviance seem to dominate the popularity hierarchies of American schools (as of 2003). In Russia being the top student is respected instead.
13.
by vladislav 6y ago
"I think on average the difference between a high school student from Russia and US is negligible." That's difficult to believe. I went to comparable level early education schools in Russia and the US and observed stark diffe
14.
by vladislav 6y ago
beggars can't be choosers
15.
by vladislav 6y ago
They're probably not even detecting the lane markings or road surfaces as they're baked into the HD map.
16.
by vladislav 6y ago
"we're definetly at least 15+ years out". Similar statements were made about Go the year it was solved. AV is a vastly harder problem and requires new techniques to get there, but AI can progress can happen any time.
17.
by vladislav 6y ago
more like 0.1% there in terms of the work required to launch
18.
by vladislav 6y ago
Presenting a subset of the information to let the uninformed jump to favorable conclusions for the presenter is not a new marketing strategy. If there's no indication about the true level of progress, what is the purpose of the demo?
19.
by vladislav 6y ago
This demo is not informative as to the readiness for scalable L4 deployment, for which it would be necessary to focus on the breadth/accuracy of perception features under the hood of intent prediction and what happens at the tail end w
20.
by vladislav 6y ago
Quite a nice result. Along the lines of your point 2., it's not the first time in recent years a problem in operator algebras was resolved by the computer science community using unexpected methods: https://www.quantamagazin
21.
by vladislav 6y ago
Seriously. The entire annual budget of the NSF if $7.8B. When throwing around that kind of money deep tech becomes a hedge.
22.
by vladislav 6y ago
I don't think it was meant so literally. just an interesting way of calling someone a unique mathematician
23.
by vladislav 6y ago
Indeed such a good one when you really think about it, but it's above most readers heads.
24.
by vladislav 6y ago
That's highly doubtful. If you really think that you should be raising a fund right now.
25.
by vladislav 7y ago
"the state-of-the-art in computer vision has moved so significantly that it’s arguably now not the primary blocker to commercial deployment of self-driving cars." The state of the art in machine perception is still far from human
26.
by vladislav 7y ago
They would have able to win and get away with it if they incorporated the knowledge of the external dataset directly into the ML model, provided they had a reasonable estimate on the fraction of overlap between the external data and the tes
27.
by vladislav 7y ago
It takes a while to internalize what's difficult about the problem. Partly I think it's that humans take for granted their ability to see, which requires no conscious effort but expends 70% of the brain's computational resour
28.
by vladislav 7y ago
It's simple: choosing again switches from a losing outcome to a winning outcome and vice versa, thus the probability of winning by choosing again is 2/3.
29.
by vladislav 7y ago
yeah it's called unsupervised learning
30.
by vladislav 7y ago
computer vision is clearly much harder than go. the point is that the forefront of AI is moving quite rapidly, and the consequence are bound to catch the casual observer (or even an expert) off guard.

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