Stuxnet – first hackathon ever devoted to comply with Fable 5

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 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 business types at vmware behaved as though winning was the default, assured state. It took several years for them to see that that was very much not the case. A real lesson in there, for every successful business today. 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 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 I regularly connect various of my devices through their network... Tangential point: I recall on a previous article someone commenting on their surprise at how good Gamers Nexus investigative reporting was. This seems to be another example. You go Gamers Nexus. Might have to buy a supporter pack. Another proof of how much our data is worth. But I think they make a loss on me, I can remember none of it.

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 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 research being done in that direction, I wish it would mainly come from academia though.. 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 good novels need you to read them for a bit to see what's going on, and then it will get good. They might already be familiar with the idea from TV shows. But also, it's extremely possible to write a novel that would interest me. 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 around their data centre cards, or the AMD AI Halo/Ryzen and ignores the R9700 AI Pro. Really wish this would change.