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Comment So his argument is... (Score 1) 69

So his argument appears to be something like :Stealing clients money and spending it on something different than what you took it and said you're spending it on is a crime, but the amount you take is not related to the severity of the punishment, because it biases the jury" Right.

Comment Re:Just another grift (Score 1) 153

Comcast and Verizon were granted special tax breaks in order to reach 98% diffusion of 'broadband' in PA. By 1998. They still haven't met the 1998 definition of broadband, but Comcast has exclusive licensing to the region I live in. I have only starlink, dialup, or god freaking awful geostationary satellite as an alternative, and it is not legal to start another cable provider, even if I wanted to here.

Comment Re:Just another grift (Score 1) 153

Those cell companies throttle down to LTE all the time. I tried the T-mobile thing once for about half an hour. It flip flopped connection protocols in the middle of conference calls and dropped in the middle of downloads in order to hop between connection types. It was damned near unusable.

Comment Anything that maximizes engagement (Score 1) 217

IF they don't pair engagement signals with sentiment analysis on those same ones and treat them like a whole signal together (subtracting points for negative sentiment and adding it to positive) then they will all do this. The algorithm is public. We already know it doesn't use sentiment.

Comment Thinning wouldn't be a full solution but (Score -1, Flamebait) 111

We still should be thinning. That jackass in the article saying thinning couldn't be done is an idiot. You don't fix it in a year, you start the practice of thinning so that a decade from now it can be under control. Cutting emissions is the same kind of a solution, except the timeline is EVEN LONGER.

Comment Re: US Bubble AI Economy Pops - Chinese Cheapness (Score 1) 109

They can be called in the same way, but not all of them are as good at working in a particular harness as each other. Anthropics models have been trained to call tools in a certain way, the chinese models may or may not work in a way that is compatible. Tool calling ability (not just whether or not you can do it, but how and when it decides which tools to call and why) differs WILDLY between open models.

Comment Re: They can only self-improve if they are capable (Score 1) 216

They are. It's just not happening on the versions we have access to. Look at Sakana. RSI just involves defining an experiment and parameters, and varying the values of the parameters, trying out a training run, and record the results. If it works well, use the results as part of the base model for the next iteration. All of that can be automated. I have no idea why people are saying they can't be. If people iterate on them and change one variable at a time, and use that as a means to improvement, an AI can be tasked to do the same. And they can also be trained to design the experiments themselves.

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