jsinai

26 ms·

91.
by jsinai 6y ago
My thoughts exactly. Being on the shorter side what matters is the stand over height - too high and it greatly limits on/off/standing manoeuvrability and agility. I was surprised to learn that the smallest adult bikes tend to have
92.
Fox News Digitally Alters Images of Seattle’s Capitol Hill Autonomous Zone(seattletimes.com)
18 points by jsinai 6y ago|3 comments
93.
by jsinai 6y ago
>Personally I respect somebody who “freestyled” his way through PhD as measured by research output a lot. E.g., quite a few women take that route along with maternity leaves Nitpick: You may want to change "his way" to the gend
94.
by jsinai 6y ago
True. I hadn’t thought about this. With some CSS overhead you can really have control over formatting.
95.
by jsinai 6y ago
If you look at tech and most startups, an overwhelming amount of founders come from a similar background: white, male. I don’t have the data on this but you could for example make inferences from the YC summer and winter showcases. I would
96.
by jsinai 6y ago
Markdown is dead simple, quick and has minimal overhead. Sometimes the power of convenience trumps the power of features. It’s a trade-off. I would hate to have to use LaTeX for every small document I compose, but then I would hate to write
97.
by jsinai 6y ago
One of the big issues is transparency, and this applies across the entire price spectrum. If people knew that certain brands, luxury or not, were exploiting labour, would some people still be inclined to buy them? It’s easy to say that most
98.
Understanding Bayesian Inference(jontysinai.github.io)
2 points by jsinai 6y ago|0 comments
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Understanding Bayesian Inference(jontysinai.github.io)
3 points by jsinai 6y ago|0 comments
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Understanding Bayesian Inference(jontysinai.github.io)
2 points by jsinai 6y ago|0 comments
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Understanding Bayesian Inference(jontysinai.github.io)
1 points by jsinai 6y ago|0 comments
102.
by jsinai 6y ago
What is CFR?
103.
by jsinai 7y ago
Actually g(x) = 3 is multiplicatively and additively invertible.
104.
by jsinai 7y ago
I once asked a mathematics professor why so many obvious or natural results (“Cauchy-Swchartz” being the most contentious) are named after people, when something more descriptive would do. His response: “It makes it easier to refer to those
105.
by jsinai 7y ago
Not necessarily. Numerical integration of differential equations is function approximation. Yes the algorithm you would use may be an “artificial” implementation of “intelligence” but it is not AI in the sense people usually think of it tod
106.
by jsinai 7y ago
I’m a cyclist in London and I do agree this with this. A lot of cyclists forget that the rules of the road apply to them. However what I fear the most isn’t cars or other cyclists but mopeds and motorcycles, especially ones with high accele
107.
by jsinai 7y ago
I think there is little evidence to suggest that neural networks and human minds behave in the same way modulo complexity. In science there is a tendency to come up with models of the world - simplifications which we can observe and quantif
108.
by jsinai 7y ago
>Ironically, all these complaints about "guys there that have a disgusting sense of entitlement" just go to show how picky she is, and can afford to be, in San Francisco It’s not a matter of being picky. It’s a matter of self r
109.
by jsinai 7y ago
I’ve started using Uber’s Jump bikes in London to avoid changing tubes (sometimes this is possible) and the experience is revelatory. Cycling on the road by e-bike is quieter, easier and more effortless compared to changing tubes at a busy
110.
by jsinai 7y ago
This is an impressive and eerie showcase of how realistic GANs can be: https://thispersondoesnotexist.com/ Sometimes it fails but most of the time the faces generated are uncannily realistic. Make of it what you will. If yo
111.
by jsinai 7y ago
Really interesting article! This is a great example of scientific strategy and thought being used in an applied setting. I also like the effort to make the different choices interpretable. Loss functions are an often overlooked area of mach
112.
by jsinai 7y ago
Tube adverts also tend to play on people’s insecurities only making it worse
113.
by jsinai 7y ago
Neural Networks are good at curve fitting which makes them useful for inference +- noise. In control systems you need to do inference to predict feedback signals +- noise. So you can use a neural network for that. Train it on input and feed
114.
by jsinai 7y ago
Well they are the algorithms that are they are using, whether they built them or not
115.
by jsinai 7y ago
> Here again we have misaligned incentives. Banks optimize revenue when customers have as much debt as possible. > While expensive to develop, the beauty of software is it can be infinitely replicated. And at scale, the marginal cost
116.
by jsinai 7y ago
Precisely. +1 to TheOtherHobbes There is so much to human cognition that researchers haven’t or have been unable to address in AI. We can tell from our memories that when we experience something, it is not simply raw perception. In fact our
117.
by jsinai 7y ago
I’m not sure that ML’s success in AlphaGo generalizes well. For example, Transformer architectures may be able to generate seemingly realistic text, but after a couple of paragraphs a human can pick out the incoherence. Furthermore ML still
118.
by jsinai 7y ago
Automagic is my new favourite word
119.
by jsinai 7y ago
Second this, although perhaps not as loud. I prefer music for concentration, which has melody and harmony, rather than ‘silence’ which is usually interrupted by noise such as chatter or scruffing or chairs scraping etc.
120.
by jsinai 7y ago
> particularly when I hear a mouse click getting louder and more violent. What really gets to me is loud and furious typing. Otherwise most office noise doesn’t bother me. But that’s mostly because I’m surrounded by colleagues who I get

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