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4 months agoI share a similar sentiment, but I’d place the turning point somewhere between 1 and 2 GHz.


I share a similar sentiment, but I’d place the turning point somewhere between 1 and 2 GHz.


I keep mine at the angle grinder factory. How about you come and get it, Elon?
Strawmen? On Lemmy? Say it ain’t so.


That’s the way. And thank you, Linux, for not asking bugging me again later… ever.


XnView is quite feature-complete for my needs, but it’s constantly trying to phone home to Google, so better run it in a sandbox.
Geeqie is better in several ways - e.g. it supports avif and jxl - but it’s missing some features I’ve come to like.
I’ve yet to try qView.
You forgot the part where we also take their companies, real estate, stock, private jets and yachts.
I used to think “smaller subs can’t be infested with bots, right?” Then, over time, I noticed a slight, but ever-increasing trickle of mistakes a human would never make, often in seemingly well-thought out and empathetic replies. At closer inspection, they turn out to be just very nicely phrased, mundane truisms, or their facade totally falls apart, revealing weird, bland, pointless nonsense.
LLMs seem to be doing very well for English and, I keep reading, Chinese, because there is so much material to train them on. Their quality rapidly decreases with the number of speakers a given language has, though. I’ve learned to quickly spot LLM output (or so I tell myself) in my native language, and it’s always so disappointing.
Years and years before the pandemic, I frequented a popular sort of self-help forum. There was always this one “guy” that had a perfect response for every and any question you threw at him, usually within 30 minutes or so. Always at least one full paragraph. 24/7/365. At one point, I remember seeing that he had given more than a million responses. In hindsight, that’s clearly not human behavior, but at that time, I had no idea what was going on.