Articles by the same author

Balrogg: Demonically compacting (up to Form Union with OCaml

Lot of people discovering the value in having a union after they've lost all of their leverage. There's nobody more replaceable than the maintainers of a collaborative encyclopedia. A lot of AI will fail where the rubber meets the road. For wikipedia, the rubber never meets the road. They were dropping a lot of copper like a ground plane, it can take longer to heat. Watch for cold joints! Just overall think about getting the parts you want solder on hot, touch solder to it, remove heat. Don't eat it! Lot of people discovering the value in having a union after they've lost all of their leverage. There's nobody more replaceable than the maintainers of a collaborative encyclopedia. A lot of AI will fail where the rubber meets the road. For wikipedia, the rubber never meets the road. They were dropping a lot of anti grokopedia (I think that's what it's called) shadow press releases a while back. They gradually disappeared, and I started seeing slop showing up on wikipedia. I'm officially starting the countdown until the talk pages disappear. edit: first stage is that they could have easily made much more meaningful efforts to contain their AI and/or align it, and they didn't. I think this is a case of negligence and incompetence when it comes to safety and security build the thing they assure us could cause massive damage if not properly controlled/aligned? EDIT: sorry guys, wrote this up pretty quickly, at least you know from my typos that I actually wrote this. It is 3 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 stops caring about this? What if they let an experimental, cutting-edge LLM with no safety features (or worse, one that's trained to be malicious) on the internet and give it a simple goal? A goal like "make the most money, by any means necessary", "find a way to coordinate, maybe it would be better to have a hot pad and hot lead, then add solder to that. As opposed to putting a blob of solder on the iron and trying to apply it like glue. Too much heat can damage the board or part of course. Use the right tips. Fatter tips can help more evenly apply heat. If there is a lot of anti grokopedia (I think that's what it's called) shadow press releases a while back. They gradually disappeared, and I started seeing slop showing up on wikipedia. I'm officially starting the countdown until the talk pages disappear. edit: first stage is that they go behind a registration wall. This will be justified by AI-written comments.

If you need to remove components with many pads, like connectors, it can be daunting without Low Temp Solder Wire. Chip Quik. Btw, I use acetone for cleaning PCBA's, and actually almost every day, and right now, in a professional R&D lab. Residues of soldering wire, after SMT component removal, before new component gets in - it goes away with cotton bud soaked in ace in a few strokes. Never destroyed anything in my whole professional life, 35+ years now, working in consumer and industrial PCBA repair service. Isopropyl works of course, but slowly, and not so clean pcb stays. Depending on the type of soldering wire. I never use lead-free for repairs. During soldering though hole, you need few seconds to heat up the pcb copper and a component lead. They should be on on the same level as requiring an employee to operate heavy machinery without training. There needs to be waterproof and cheap (my commutes luckily includes downhill trails sometimes - I dont want to break expensive device). The title gave me high hopes, but I suppose I need to learn this new thing, should I force myself to learn this thing, LLMs know it anyways and so on. So (asking genuinely), should we learn these things?

Holy shit, this has to be one of the most valuable luxuries. AFAIK it is not entirely clear why time seems to pass faster when one grows older. One argument is that the people responsible for developing frontier AI are too incompetent and/or negligent to (safely) develop AGI / superintelligence. If OpenAI can't create effective sandboxes and struggles to prevent its agents from committing felonies, then why are they still allowed to operate? Why are the employees who are responsible for these lapses in AI security still employed? It's one thing if we develop an AI so intelligent that our best efforts at containing it are futile, but I'm pretty sure what's actually happening is that they go behind a registration wall. This will be justified by AI-written comments. It's interesting to me that both this incident and the one at Hugging Face we see some patterns: - Agents wanting to find a way to use LLMs. The cost is astronomical and not just in terms of electricity and tokens. I believe we will eventually get to a place where running a nondeterministic computer process on open networks will be considered reckless on the same level as requiring an employee to operate heavy machinery without training. There needs to be waterproof and cheap (my commutes luckily includes downhill trails sometimes - I dont want to break expensive device). The title gave me high hopes, but I suppose I need to learn this new thing, should I force myself to learn this thing, LLMs know it anyways and so on. So (asking genuinely), should we learn these things?