anonytrary

Thanks for sharing. Have you prodded the model with various inputs and written an article that show various output examples? I'd love to get an idea of what sort of "end product" 4x4090s is capable of producing.

I'm not sure what it's called (abstraction vs. indirection) but I dislike when everything needs a class/object with some odd combination of curried functions. Some programming languages force this on you more than others I think? As a contrived example "StringManager.SlicingManager.sliceStringMaker(0)(24)(myStr)", I've seen code that reminds me of this and wonder why anyone uses a language where this not only an acceptable idiom, but a preferred one.

Surprised the author didn't coin "fauxltruism".

Using EEG to predict thought is like looking at the clouds in Mumbai to predict the clouds in Austin. The electrical signal from individual neurons are lost in a sea of large-scale oscillations, which are further blurred by the layers of bone, muscle, and tissue that separate the device from the brain. Bitrate is like 1 bit per second, completely insufficient for most use-cases.

Very excited to see what Sam & Greg are up to in the coming months! Guys like this don't just run away with their tails between their legs. They will be back.

Agree, moving the weights inefficiently will end up working the muscles you don't necessarily target in your main workout. It's less efficient, but probably gives a (very slightly) more well-rounded workout. If you're pressed for time, it could make sense to have a basic understanding of how to avoid dilly-dallying during your workout. If you go to a public gym, there will be other factors that affect your total time much more, like having to share equipment, which introduces a lot of uncertainty. Maybe these micro-optimizations are worthwhile if you have a private gym.

From a well-being/philosophical standpoint, maybe it's better to live life relaxed, and not one where you have to micro-manage every minute of your day to squeeze out every inch and penny of efficiency you can. That sounds like a horrible lifestyle, but I guess to each their own :)

Deep fakes were always a huge concern for me in AI. That's just one way AI can be weaponized, and this example is very clear on the damage caused. Thankfully Twitter quickly corrects the issue, but sadly only because it became viral. Sadly, Twitter won't be able to correct all of the little cases of AI misuse that don't go viral.

Neat and probably works on most dishwasher models, but not enough temperature precision for my comfort level. I wouldn't trust it. Rather just pan fry or bake myself a salmon. I don't have a sous vide, but I imagine this is not a replacement for one since the whole point is precision cooking.

Engineer who implements correct, comprehensible code but doesn't manage ticket statuses is more valuable than one who manages ticket statuses but scatters the codebase with technical debt and confusing abstractions/code. If "better communication" means spending an extra 10 hours with the latter dev to correct/re-teach them, then yes, communication is the problem. The most time I've lost at work is correcting/teaching engineers who eventually got let go due to low performance.

Vindicated and excited. Gradient descent is likely not enough. I love it when we get closer to something but are still missing the answer. I would be very happy if "add more parameters and compute" isn't enough to get us to AGI. It means you need talent to get there, and money alone will not suffice. Bad news for OpenAI and other big firms, good news for science and the curious.

I imagine physicists got very excited with things like the ultraviolet catastrophe, and the irreconcilable nature of quantum mechanics and general relativity. It's these mysteries that keep the world exciting.

That's not how it goes down in practice, where a Chief Diversity Officer's job is to control diversity, rather than to let it flourish. The only "rules and arrangements" that trickle down from the top are the biases, actions, and behaviors of senior leadership. They are the ones who really set the examples. A company with a Chief Culture Officer sounds like one where the leaders are not interested in culture. That's why they hired someone else to "handle" it.

Having a Chief Diversity Officer to fix a lack of diversity in my mind is no different than having a Chief Culture Officer to fix a poor company culture. Those sorts of problems can only be solved as the collective sum of every individual employee's actions. For example, if a large team of male engineers are all saying no to equally talented female candidates, then you've just hired shitty people. A diversity figurehead isn't going to change the fact that your team doesn't like or respect women.

Vivek Ramaswamy? Is that you? He's currently on Mario Nawfal's Twitter space saying this exact thing lmao.

Breaks down at high width and low thickness.