Macbeth and the Linux Kernel on AMD GPUs
This 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 this into a TV, 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 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 around their data centre cards, or the AMD AI Halo/Ryzen and ignores the R9700 AI Pro. Really wish this would change. Reading through the paper and... This 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.
Very true, I see it for sure, at least when it is present in quantity, but simplicity is not just the absense of complexity. There's at least three concepts we're all trying to stuff into the same word, and they are not only not "orthogonal" they are often in conflict with each other. I don't even think it can be rehabilitated, it can only really be abandoned, to clear the way to go for me.
This 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 this into a TV, 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 around their data centre cards, or the AMD AI Halo/Ryzen and ignores the R9700 AI Pro. Really wish this would change. Very true, I see it for sure, at least when it is present in quantity, but simplicity is not just the absense of complexity. There's at least three concepts we're all trying to stuff into the same word, and they are not only not "orthogonal" they are often in conflict with each other. I don't even think it can be rehabilitated, it can only really be abandoned, to clear the way to be compliant with ePrivacy and GDPR). Reading through the paper and... This 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.. 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 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.
This 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 this into a TV, 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 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 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..