backpropaganda

Good video content is created by first writing the script.

Yes, I can read it perfectly fine. It relies on a lot of notation that AI researchers are familiar with.

How would I include the definitions without the implementations?

It's Lua. They use Love2D.

FNA, Monogame, Heaps, Kha, and many other open source engines have closed source forks supporting consoles.

World Models is a good paper, but is definitely not the top three most significant RL papers.

But is autodiff combined with a blackbox jit a real solution? The jit either works for your new model or it does not. If it does not, you can do pretty much nothing about it, other than ping jax authors or get your own hands dirty with jax internal code. Why is noone working on a usable low-level framework, where I can implement QRNN or more complicated stuff without relying on a black-box jit? Jax could have chosen to be this, but instead is a fancy solution to a non-problem.

CPC trains neural nets.

You only need a few seconds to read the title, and you can cut away 150 out of those 200 with that. If it's a paper simply not in your area of research, you don't need to bother. You can then read the abstract (30 seconds) for the rest, and finally you'll pick 5-10 papers to read. You'd skim them with 5-10 mins per paper, and if you like what you see in 1-2 papers, you'll give it a more through read. So this is 10 mins + 30 mins + 2 hours + buffer, which is at best 3-4 hours.

Of course this requires a strong filter at the first stage. You can also set aside time to investigate specific topics outside your work, but you won't do that as often as you keep up with your own literature.

So in the case of AI/ML, the fashionable new thing is unsupervised learning, self-supervised learning, reinforcement learning, GANS, etc. The played out problems are image classification, speech recognition, etc.

It's in the nature of social networks that new social networks don't look like old ones. Youtube is definitely a social network, and so is Twitch, Discord, TikTok, etc. Youtube has the additional advantage of having persistent count, so I would count on Youtube lasting much longer than any other social network whose popularity changes generation to generation.

Given sibling comments, this seems relevant: https://www.lesswrong.com/posts/4AHXDwcGab5PhKhHT/humans-who...

People were meme-ing the goose game hard much before its launch, and much before Dunkey covered it, but that probably helped sustain its exponential growth.

More than streamer-friendly, it's Reddit- and Twitter-friendly. Any small clip of the game is automatically funny and share-able. The bird's simple design makes it easy for fan artists to make more memes.

What do you think about this: https://en.wikipedia.org/wiki/Genetic_sexual_attraction ?

Did you notice that you were particularly attracted to any of your half-siblings?

POs were a bit too limited for me. The sequencer isn't powerful enough to make anything more complex than basic chiptunes.

Not to diss on PO. I was super hyped about it as well, and would have liked to know about its limitations before buying it. Anyone of the numerous phone apps would be a cheaper and better replacement for a PO.

What got me started in music was Garageband. It's free (for macos users) and quite simple and intuitive. It's not as fully-featured as something like Ableton, but quite capable for making professional-level songs.

Alec Holowka was a game dev who committed suicide recently after allegations of sexual assault by ex-girlfriend Zoe Quinn. He was the developer behind Night in the Woods. The NitW studio said they've cut ties with him after Quinn's allegations.

This is just plain factually incorrect. Around two million Chinese immigrate to other countries every year (net).

Note also that it's similar to India's immigration rate, while India is doing much worse economically than China.

Source: https://en.wikipedia.org/wiki/List_of_countries_by_net_migra...

What is this thought experiment meant to say? If the people of Liverpool or San Francisco want freedom and make their own country, many in the west would support such a thing. After Trump got elected, the separationism meme was spread in California half-seriously.

The reason this thought experiment doesn't really work is that it disregards a crucial piece of information that the CCP is an authoritarian regime, while the people of Hong Kong are liberal and democratic. People generally prefer to move from the former to the latter, and not from the latter to the former.

I think history is useful, but it doesn't really change the fact that the people of Hong Kong do not want authoritarianism. It should be irrelevant what some king in the Qing dynasty or British empire did. As common folk ourselves, we should be giving more value to the will of the people, than the will of people who buy and sell countries and its people as if it was private property. So, no, Hong Kong does not "belong" to CCP just because at some point it "belonged" to Qing dynasty.

Talking about people as if they are property of kings and rulers is just slavery at the level of groups.

Small ads on the web are still more targeted than newspaper ads, since web ads appear on specific websites which are of interest to the user. If I visit a motorcycling forum, I should get motorcycling ads, and they can be effective even if they're small.

What you're saying and what's in the link seems to be consistent with the advice of refusing to talk to the police at all, and not to talk partially or to answer some questions and not answer other questions, or answering but changing the statement later.

It indicates that the model is learning a good likelihood function, and that it has still not trained to convergence which makes the samples have lower likelihood scores than real text. That's all that's needed to make it a good recognizer.

I'm curious. What made you think that OpenAI Five is playing standard DOTA? I want to know what makes OpenAI propaganda so effective.

Is there any reason to believe that some other medium won't have this exact problem? For instance, if you were to meet a public figure at a public event, do you think they will behave any differently? To me it seems like this is more a problem of public figures having a high number of people who want to talk to them or troll them, than of Twitter as a medium.

FWIW, Unity and Monogame are two popular game engines which deploy C# code to Mac and Linux using Mono. If a modern game runs on Mac/Linux, there's a high chance it's using C#/Mono. So to me, "niche" doesn't seem like an accurate description.

Consider instead that the person is an investor. But instead of investing money, they invest not only the initial idea, but also help solve some problems along the way. So, very similar to investors, but instead of money, the investors also provide the idea. 20% sounds reasonable for that.

PR is what all science is about. Without communicating ideas, science is not useful. The trio above managed to communicate deep learning ideas to the wider vision and NLP community such as by collaborating with them to come up with benchmarks which would prove usefulness of deep learning, but also to industry and general public. Schmidhuber did very little on these fronts, and even his technical contributions while laudable do not compare with the awardee's.

"merely"

People deserve credit for taking an idea and running with it. Without Hinton's efforts (in 1987, 2006, or 2012), deep learning would have never seen the explosive growth.

How do you actually define "Fiduciary duty to the charter"? Since charters tend to be vague, and are definitely not legal documents, almost anything can be said to be aligned with the charter.

Similarly, what's stopping an investor from implicit control by threat of removing their investment?

How a16z manages their social media doesn't seem very relevant to founders who are deciding on VCs. Could you clarify if you disagree?

I wish there was actually a tvtropes.org-type listing of game mechanics employed in video games. I think the design space isn't that large, and most games tend to reuse the same mechanics which work well. A lot of games use rock-paper-scissor either as primitives, or at a meta level. Does anyone know of any such listing or book which covers important game mechanics? It would be the equivalent of CLRS but for game mechanics.

This particular site is not that, because it's the author's list of novel game mechanics. They aren't particularly fundamental, and have a lot of the biases due to the author's preferences, or trends of the time.