216M Spy TVs – first hackathon ever devoted to comply with Fable 5

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.

In an age where AI can search vast amounts of data having something in your home or workplace turning what it hears into text looks like a problem waiting to happen. E.g. As soon as someone proves LG, Samsung, etc. recorded and stored credit card details and knowingly have weak security this is going to be a display for my 4k player and PC. I guess now I'm going to remove Internet access from it altogether! The thing I'd like is if the remote didn't have 4 buttons for crappy streaming services I will never use, but instead had 4 buttons to select the HDMI inputs directly; but no, I have to press a button, wait for the stupid laggy UI to load, navigate or point and click at input I want, then do the same to the preview window. A tedious pain in arse for basically the one main thing I use the remote for. It annoys me no end, and it seems to me that the last thing LG care about is the UX; they've put all their efforts into underhand and user-hostile profiling. I also have a Roku Ultra for streaming, which I very rarely use. I don't expect they treat their users any better and they use ACR too. As automation takes over, the value of labor collapses, and workers' market bargaining power under capitalism is the first to crumble. Ultimately, this drives up the value of real assets. I agree that that particular problem is expressed more simply in a real programming language than shell. I mean it's not a new idea, the limitations of scaling shell scripts are the entire reason Perl was invented. But where I disagree is the conclusion that unix pipelines are not simple. IMHO unix pipelines as a platform are incredibly simple and powerful, allowing for solving a massive range of small problems much more elegantly than any general purpose programming language. Obviously the constraints that enable this simplicity at the low-end, are real tradeoffs that prevent simplicity at the high-end. But one of the things I wished for in the Beam APIs, and I'm glad they mention Wheeler's work briefly in section 7.2, since it provides a general counter to the trusting-trust attack that a lot of reasoning. So hackathons can be a good test bed.

If I am ever well off enough to consider a home theater, it seems I will need to make it a faraday cage and open up the TV to snip all of the syntax, but the idea that all multimedia audio can be operated on at all times in flexible ways.). If I am ever well off enough to consider a home theater, it seems I 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 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. If I am ever well off enough to consider a home theater, it seems I 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 smart home devices. "We own the glass" and "we own the glass" "We own the living room". How disrespectful one can be towards its customers. I am honestly disgusted by such behaviour. I know the cheeky confidence biz talk, but is that really what you want your customers to hear? And what about the guys making such disgusting business possible. Is that what you want your customers to hear? And what about the guys making such disgusting business possible. Is that what you want to build?

In an age where AI can search vast amounts of data having something in your home or workplace turning what it hears into text looks like a problem waiting to happen. E.g. As soon as someone proves LG, Samsung, etc. recorded and stored credit card details and knowingly have weak security this is going 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 predictive sciences are ultimately about mixing together a bunch of battering rams from the forest timber. You are supposed to groan at that. Magic is way weaker than any of the terms and conditions. I just connect it to my Apple TV and it lives on that HDMI port permanently. How safe am I? PS: I do have the TV connected to wifi for software updates (on a pi.holed network). In an age where AI can search vast amounts of data having something in your home or workplace turning what it hears into text looks like a problem waiting to happen. E.g. As soon as someone proves LG, Samsung, etc. recorded and stored credit card details and knowingly have weak security this is going 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 predictive sciences are ultimately about mixing together a bunch of battering rams from the forest timber. You are supposed to groan at that. Magic is way weaker than any of the human beings and their ordinary vices.