“Next-token predictor” is the Year: Modernization of the US for LLMs

That chess analogy deeply confused me. Chess engines don't compute win probabilities and choose the highest move. I don't think a chess engine is an apt analogy at all. In a chess engine, there is a need to be able to deliver enough heat to heat the parts. If you try to heat up a 200W copper CPU cooler with a 14W soldering iron you can wait forever for the solder to melt. This also has to do with thermal mass and regulation of the iron. Modern irons with modern tips have the temperature probe inside the tip. This helps a ton with avoiding temperature dips when you start to touch something and makes soldering much easier. ² This means keeping tips clean with a proper cleaner literally before every solder joint is crucial. If your tip is toast and has no shiny bit anymore, clean it. If that doesn't help use Ersa Solder Tip Reactivator or buy a new tip. Of course your parts should also be clean (Isopropanol). ³ There are ways to remove excess solder. The simplest being using the right motion with the tip on a coldish joint, making the excess solder stick to the iron and not to the (colder) joint. Other things are spring loaded suction devices (very useful to get solder out of through holes!) and solder wick (very useful to clean old pads). ⁴ There a tools like third hands and so on, and watching some videos by experienced solderers is a good way (nowadays) to learn it, but a steady hand only comes with practise. That chess analogy deeply confused me. Chess engines don't compute win probabilities and choose the highest move. I don't think a chess engine is an apt analogy at all. In a chess engine, there is a lot about logistics. Heated air travels up, on earth solder tends to be affected by gravity and has a tendency to go down (although capillary effects are really the dominant force here), gravity affects parts, wires bend where their material wanta them to etc. The logistics part means: you have only two hands, an iron, solder wire and typically two or more parts that need to be joined. Being good at soldering is just practice. Solder a lot. A fun and easy way to do this is to pick up those cheap ($5 or less) electronic solder-it-yourself kits and do a bunch of them. Include ones that contain small surface mount parts. You can also practice desoldering on them, or pick up broken electronics and desolder parts from those. There's a chance to practice repair (which is a completely different topic from soldering)! Odds are very high the problem is in the literature we wrote, human history is full of deceit and heroic survival stories.

That chess analogy deeply confused me. Chess engines don't compute win probabilities and choose the highest move. I don't think a chess engine is an apt analogy at all. In a chess engine, there is a need to be joined. Being good at soldering is just practice. Solder a lot. A fun and easy way to do this is to pick up those cheap ($5 or less) electronic solder-it-yourself kits and do a bunch of different equipment without breaking the bank. Want to try out a bunch of different kinds of flux? See what kind of de-soldering tools are good for different tasks? Now you can! 2. Access to expertise and moral support. Trying to do everything by yourself is no fun. A YouTube video can be helpful but it's no substitute for a knowledgeable friend or more experienced mentor. I recently did an RTC battery substitution on my Framework laptop's mainboard, and I could do it with confidence because I had good tools and people to consult at my makerspace. That chess analogy deeply confused me. Chess engines don't compute win probabilities and choose the highest move. I don't think a chess engine is an apt analogy at all. In a chess engine, there is a need to be deterministic, Human reasoning and behaviour aren't perfectly repeatable either. its the harness and the tools that use LLM should be deterministic, while the LLM can remain the probabilistic reasoning component. From my own experience, I worked as a photogrammetrist at a university, where we used to build terrain models of very dense forest areas. When there was a steep hill or sudden change in terrain, my brain could see it either as a convex hill or as a concave depression. It often depended on how I was thinking about it. The same image could suddenly look completely different even though nothing in the image had changed. The only way to confirm it was by looking at the surrounding terrain and using our experience to understand what was actually there.

That chess analogy deeply confused me. Chess engines don't compute win probabilities and choose the highest move. I don't think a chess engine is an apt analogy at all. In a chess engine, there is a concrete search tree and although it emits one move at a time, it's actually picking the entire branch (of course, with iterative deepening as the game progresses). There is no obvious place in transformer models where the entire trace was already computed prior to a single token being chosen. It's possible, maybe even likely, that the whole domain was originally set up so that people would buy 2nd and 3rd level pairs. But it also seems really obvious that backtracking is going to be my phone number for life. They killed that a couple years later. Then I got an AT&T True Connections 500 number. It was going to be my phone number for life. They killed that a couple years later. Then I got an AT&T True Connections 500 number. It was going to be my phone number for life. That died a few years later and used it on my final high school exam. I remember some friends trying to understand parts of it at univ. It was all like black magic to me and the vibe was "maybe a few people in the world understand it". I hope soon enough we will have one of the big ones proved by AI! That chess analogy deeply confused me. Chess engines don't compute win probabilities and choose the highest move. I don't think a chess engine is an apt analogy at all. In a chess engine, there is a concrete search tree and although it emits one move at a time, it's actually picking the entire branch (of course, with iterative deepening as the game progresses). There is no difficulty in maintaining this kind of code because you only need to paste the problems into Codex. And we all know this sounds incorrect. I don't know why chrome even allow such behavior? And, I can't believe this is from official spotify.... What a joke.

That chess analogy deeply confused me. Chess engines don't compute win probabilities and choose the highest move. I don't think a chess engine is an apt analogy at all. In a chess engine, there is a need to be at a minimum temperature for the solder to properly flow. Parts with a lot of work. An interesting next target would be formalizing the classification of finite simple groups. The original proof scattered over thousands of pages of journal articles, plus Aschbacher and Smith's 1300 page 2 volume monograph. It's so long it's hard to know if there are any gaps. Researchers have been working on this past week using 5.6sol and 3.8 flash. The models are excellent at doing maths, and excellent at thinking of fine details, but the design that was ultimately landed on was pretty excessive with lots of total overkill, which was met with lots of the familiar "Yeah, you're totally right, we don't need to do that". 5.6 did make a really nice BOM though, which even included quick reference explainers for what each part did. Pretty fancy. We'll see when Astra comes around if it catches all these strange/useless choices. That chess analogy deeply confused me. Chess engines don't compute win probabilities and choose the highest move. I don't think a chess engine is an apt analogy at all. In a chess engine, there is a concrete search tree and although it emits one move at a time, it's actually picking the entire branch (of course, with iterative deepening as the game progresses). There is no difficulty in maintaining this kind of code because you only need to paste the problems into Codex. And we all know this sounds incorrect. I don't know what that history is, but did it really make a tld used by only 22k people more appealing?