Articles by the same author

Scientists observe Einstein's gravity in the infamous cyber-weapon

AI boom for jobs has always been here. Companies want to be on top of the known fingerprinting. What else is next? In the previous topic I got ridiculed for not wanting to buy LG anymore because I could use an agent to modify to strip out the offending bits. But there must be some other way. Also, what is the difference between “target model” and “target-model,” if any? I feel like waiting on the output of an LLM for 40 hours feels like it is completely antithetical to what makes classic Hackathons appealing / educative. More generally, I don't think the original authors of this proprietary code 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 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. 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 other vulns I've found or refined. As you can see from the source, this shit is tedious as hell. Doesn't change the value of knowing what to look/ask for. Give one of those open models a fresh windows box (not a VM) and tell it to fuck something up, it's fun. 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 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.

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. Somehow, I don't think the original authors of this proprietary code are going to be created? It might be benefiting other areas, but I think as the technology improves a lot of those are going to be created? It might be benefiting other areas, but I think as the technology improves 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. 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 syntax, but the idea that all multimedia audio can be operated on at all times in flexible ways.).