Newtra

This is awesome news. Not because of the car, but because it builds the supply lines for an alternative battery chemistry.

People have been using lithium-ion batteries for home and grid storage, which is nuts if you compare it to other battery types. Lithium is expensive and polluting and only makes sense if you're limited by weight & space. Cheaper batteries, even if they're bigger/heavier, will do wonders to the economics of sustainable electricity production.

An increasing proportion of renewables doesn't necessarily mean a decrease in overall carbon output. Our per-person electricity consumption keeps rising. AI, electric cars, crypto, air conditioning to mitigate climate change, etc. all demand more electricity each year as they become more popular.

Wins don't come from new growth being sustainable. We need to be actively shutting down the existing unsustainable energy production. It doesn't matter whether this is done by replacing it with renewables, or by reducing our consumption with e.g. efficiency standards for AI and cars.

China is also still building new coal plants at a truly alarming rate.

Don't let heavy carbon emitters steer the narrative this way. Building renewables is just the cheapest way to keep expanding your energy grid at there moment, but if you're not actively taking power plants offline to reduce carbon emissions, you're not actually getting greener.

EDIT: LMAO I'm being mass-downvoted. This is why it's important to think critically about every headline about China - there is an army of propagandists trying to make sure you only see the good stuff.

Plural? How many idle games are we talking here?

Fucking finally! Now when will they let me transfer all the games I had to put on an alt account back to my main?

(Ok really it's just 1 game that I haven't played in ages. I'm not that horny. I just hate having multiple accounts as it eats up headspace)

But the comments below say they're not able to access the new page, even with the direct URL... It seems certain tiers of customers can't opt out. Possibly they can't be included in the first place (e.g. EU users), but it's a pretty big screw up to hide one's status on such an important privacy setting.

IPL is decent, but not a complete solution. It only stops pigmented hairs, so depending on area you might only see a 50-80% reduction in hairs, but the survivors will be less visible so at least you won't need to shave as often.

It has been great on my arms & legs, helpful on my chest, but has done almost nothing for my facial hair and I don't know why.

Citizen Kane and 2001: A Space Odyssey suck now.

There are old movies that have aged much better, like The Man in the White Suit and Colossus: The Forbin Project. These should be the ones we call classics.

Honestly, I don't think that there's room for a competitor until a whole new paradigm is found. PyTorch's community is the biggest and still growing. With their recent focus on compilation, not only are TF and Jax losing any chance at having an advantage, but the barrier to entry for new competitors is becoming much higher. Compilation takes a LOT of development time to implement, and it's hard to ignore 50-200% performance boosts.

Community size tends to ultimately drive open source software adoption. You can see the same with the web frameworks - in the end, most people didn't learn React because it was the best available library, they learned it because the massive community had published so many tutorials and driven so many job adverts that it was a no-brainer to choose it over Angular, Vue, etc. Only the paradigm-shift libraries like Svelte and Htmx have had a chance at chipping away at React's dominance.

The easiest way to get the basics is to search for articles, online courses, and youtube videos about the specific modules you're interested in. Papers are written for people who are already deep in the field. You'll get there, but they're not the most efficient way to get up to speed. I have no experience with textbooks.

It helps to think of PyTorch as just a fancy math library. It has some well-documented frameworky structure (nn.Module) and a few differentiation engines, but all the deep learning-specific classes/functions (Conv2d, BatchNorm1d, ReLU, etc.) are just optimized math under the hood.

You can see the math by looking for projects that reimplement everything in numpy, e.g. picoGPT or ConvNet in NumPy.

If you can't get your head around the tensor operations, I suggest searching for "explainers". Basically for every impactful module there will be a bunch of "(module) Explained" articles or videos out there, e.g. Grouped Convolution, What are Residual Connections. There are also ones for entire models, e.g. The Illustrated Transformer. Once you start googling specific modules' explainers, you'll find people who have made mountains of them - I suggest going through their guides and learning everything that seems relevant to what you're working on.

If you're not getting an explanation of something, just google and find another one. People have done an incredible job of making this information freely accessible in many different formats. I basically learned my way from webdev to an AI career with a couple years of casually watching YouTube videos.

I could just be further down the path due to lucky opportunities. 20 years ago I had no ambitions beyond game programming. It was only when I got a biology-related job that learning in my free time started displacing mindless entertainment. The whole field is one big nerd snipe - there are endless opportunities where you can advance the frontier of knowledge by combining a few existing ideas and working out the kinks. The more you read, the more opportunities you see. It's thrilling. I don't think I can go back to non-science work.

I think the dopamine from constant learning also helps to keep my ADHD in check. If I start the weekend with some study, I'll usually also get the housework done. If I start with a video game or TV show, I'll probably spend the rest of the weekend stressing about my todo list and not getting anything done.

I've used a cheaper Braun Silk Epil model. It was a bit slow but was thorough. I'm currently using a mid range Panasonic cordless epilator with 2 rollers. It's much faster but misses quite a few hairs. The battery has run out on me on a few longer sessions, but usually it's fine for arms and lower legs.

Epilation hurts my upper legs too much though. I have to go to an electric shaver above my knees.

IPL may be worth a look if you have the right skin and hair color. It stops most colored hairs from growing. You still get transparent hairs, but I found they can grow longer before getting ugly, and cause me much less dysphoria because they're less visible.