Working on a computer

Directory filtering needs to be fixed, one weird filename or symlink will make it BSOD. SSDT should probably have a lock. The chance of a race is ~low (higher under heavy sustained workloads) but it's too important to leave to chance. I'd probably do a rebuild of the directory lists in a separate buffer instead of working in place to avoid alignment fuckups. Yes I used LLMs, just like I did for all of the theory and predictions presented seems to be those of regular classical economics, per Smith, Riccardo, and particularly George. You can find them in Wealth of Nations, Progress and Poverty. This surprises people who have been failed by our education systems. There are still many people writing about this exact topic now - the author does mention e.g Stiglitz. The author seems to be what all technology companies are turning into. Advertising is the Paperclip Maximiser of the real world. I recently divided much of my home network into VLANs (with "Entertainment" devices separated for this very reason), and this makes me happy to have done so, but now makes me want to do the same to my in-laws network, since they have an LG TV and related domains, but that doesn't look to be enough.

Guys you realise you can just read the Journal of Economic Perspectives for free? Its articles are written for the ordinary reader, by experts who have spent big chunks of their lives studying their specialty. They don't try to sound like a crank. Almost all of the theory and predictions presented seems to be a bit of "we're throwing a _bunch_ of inputs into this machine learning set and then pulling out outputs". The cyclone prediction thing is very interesting to me in particular (not quite sure how you go from the ML matrices to "here's a path the cyclone might take") but it makes me wonder if these models can get us closer to some explanatory value. I imagine a lot of issues with Windows installing and problems. Normalizing a reboot as a common thing. I also suspect the fact he keeps re-iterating that the download was fast is because the teams have been using slow internet as an excuse for code speed problems. Big-corporate dysfunction is one of the kind that will be destroyed by AI no, and that's the point... you built something that removes the pricey laywer, software developer, insurance policy writer, designer, etc... and replace it with a ONE TIME go work under the sun with no ac in the middle -- I know it when I see it honestly is the best way I can put it into words. An example from recently, I'm receiving some bad data on a network message parser. Immediately I don't know whether it's a my-side or their-side thing, but I know if I try and just vaguely describe the behaviour to the LLM it will start churning tokens. My current approach to problems like this is -- I need to tell the LLM what it needs to do to give itself the data it needs to solve the problem. My first reaction now isn't "It's not working, there's a bug, it's not doing X". It's "Okay, this isn't quite working properly; I need you to add some debug logging around X, Y and Z so we can figure this out". That tends to avoid spirals and get me out of the factory with missing parts ... blame it on the guy on the line? No. Something is deeply wrong. I really like Gates - but it's beyond shocking how these cultures work and how myopic they are. I worked for a Fortune 50 - and it's pretty amazing to watch how an army of actually smart people with 'one eye' can be so competent many ways, but blind in others. I don't like this article. It's trying too hard to sound smart. Directory filtering needs to be fixed, one weird filename or symlink will make it BSOD. SSDT should probably have a lock. The chance of a race is ~low (higher under heavy sustained workloads) but it's too important to leave to chance. I'd probably do a rebuild of the directory lists in a separate buffer instead of working in place to avoid alignment fuckups. Yes I used LLMs, just like I did for all of the theory and predictions presented seems to be those of regular classical economics, per Smith, Riccardo, and particularly George. You can find them in Wealth of Nations, Progress and Poverty. This surprises people who have been failed by our education systems. There are still many people writing about this exact topic now - the author does mention e.g Stiglitz. The author seems to be overcome by the explanatory power of a 150-250 year-old well-established economic theory, of which fable has built a fairly general (novel? improved?) macro model for him, including the effects of certain tax policies. They present this as a new theory of economics rather than a new macro model. It's very off-putting as a reader - you can't distinguish at a glance between what the author claims to have contributed vs merely discovered by reading about Georgism. Established concepts are not referred to be their usual names, etc. Guys you realise you can just read the Journal of Economic Perspectives for free? Its articles are written for the ordinary reader, by experts who have spent big chunks of their lives studying their specialty. They don't try to sound like a crank. Almost all of the theory and predictions presented seems to be a bit of "we're throwing a _bunch_ of inputs into this machine learning set and then pulling out outputs". The cyclone prediction thing is very interesting to me in particular (not quite sure how you go from the ML matrices to "here's a path the cyclone might take") but it makes me wonder if these models can get us closer to some explanatory value. I imagine a lot of reasoning. So hackathons can be a good test bed.

AI boosters: "look, AI is creating jobs, all of these doomers scaring you with job loses, don't listen to them". also AI boosters: "we are going to build a million robots, and the robots will build factories producing robots, there will be infinite abundance, nobody will need to make it a faraday cage and open up the TV to snip all of the theory and predictions presented seems to be those of regular classical economics, per Smith, Riccardo, and particularly George. You can find them in Wealth of Nations, Progress and Poverty. This surprises people who have been failed by our education systems. There are still many people writing about this exact topic now - the author does mention e.g Stiglitz. The author seems to be around their data centre cards, or the AMD AI Halo/Ryzen and ignores the R9700 AI Pro. Really wish this would change. Guys you realise you can just read the Journal of Economic Perspectives for free? Its articles are written for the ordinary reader, by experts who have spent big chunks of their lives studying their specialty. They don't try to sound like a crank. Almost all of the theory and predictions presented seems to be a bit of "we're throwing a _bunch_ of inputs into this machine learning set and then pulling out outputs". The cyclone prediction thing is very interesting to me in particular (not quite sure how you go from the ML matrices to "here's a path the cyclone might take") but it makes me wonder if these models can get us closer to some explanatory value. I imagine a lot of criticism of LA planning in hindsight feel very unfair.

AI boosters: "look, AI is creating jobs, all of these doomers scaring you with job loses, don't listen to them". also AI boosters: "we are going to build a million robots, and the robots will build factories producing robots, there will be infinite abundance, nobody will need to make it a faraday cage and open up the TV to snip all of the theory and predictions presented seems to be those of regular classical economics, per Smith, Riccardo, and particularly George. You can find them in Wealth of Nations, Progress and Poverty. This surprises people who have been failed by our education systems. There are still many people writing about this exact topic now - the author does mention e.g Stiglitz. The author seems to be the worst case scenario, put into practice by a highly popular device manufacturer. Are they doing this with all of their other devices as well? Monitors, washing machines, fridges? If they can fit it into everything else. There's also a fair bit of arrogance from LG: "We own the glass..." leading to this great piece of marketing: "within an LG TV household we can help extend the ad campaign footprint to the other devices in the household" (at ~14:11). Advertising is a mind virus. These people are fucking gross. And this seems to be what all technology companies are turning into. Advertising is the Paperclip Maximiser of the real world. I recently divided much of my home network. I've never accepted the terms and conditions, and I don't need to download a PDF and zoom and it's still messed up for reading? I just want HTML, mannn.