I believe this applies to any company which sells an inherently harmful, predatory, and addictive product or service
724 karma · joined July 24, 2025
I believe this applies to any company which sells an inherently harmful, predatory, and addictive product or service
Hundreds of thousands of tech workers have been laid off in the last two years. There are many skilled Americans on the job market. Foreign workers are here for the benefit of the United States, not as charity to the rest of the world, or as a source of cheaper labor for global employers seeking to undercut American wages.
What? The Yale study is where the almost two year figure came from. Are you just making things up? Did you read what I wrote, or anything in the study?
They also left the public in the dark about the risk of vaccine-associated myocarditis, especially in young males, many of whom experienced permanent heart tissue damage.
That is a massive gap between what the public was told and what later evidence found. If a technology makes your cells produce a biologically active protein, regulators should establish where it goes, how long it can persist, and what prolonged exposure does before mass deployment.
https://news.yale.edu/2025/02/19/immune-markers-post-vaccina... https://www.medrxiv.org/content/10.1101/2025.02.18.25322379v...
If I were to say you could put a motorcycle in my car’s trunk, it would be perfect valid for me to say there are space constraints that make your idea unlikely. The same is true in this discussion, even though I have not computed the exact dimensions of the motorcycle and my car’s trunk.
165 is a rough rule of thumb, not some magic number like the boiling point of water at 1 bar or something.
Einstein’s fame isn’t the problem. It’s the narrative that he is somehow the greatest scientist ever, when it’s just transparently false when you look at his actual contributions and the historical momentum of the fields he contributed to. There’s nothing wrong with his fame, the problem is that it overshadows actual juggernauts, like Maxwell and Newton. Maxwell not being famous at all among the ordinary public is a great tragedy, when he genuinely is in the conversation as having have been the most important physicist to have ever lived.
Technical debt due to accumulated excessively verbose, badly architected, often redundant, feature-bloated code which always looks good, even upon earnest review, but actually sucks and becomes extremely difficult to maintain in ways which are not obvious in code review. The issue is this: your tooling can help, and can make you feel better, and you might think you wrote all the prompts and made all the tools to mitigate these issues, but you haven't. If you're not consistently seeing it generate code that is very very close to the way a skilled senior dev such as yourself would have done it (with similar line count, etc), that is a red flag even if the code looks great and works.
> "Once the weights of a model are public, they cannot be retrieved. If a model possesses dangerous capabilities, it is permanently out in the wild... We need to consider regulatory frameworks that account for the unique risks of open-source distribution of highly capable frontier models."
I was asking about some allegations relating to the Epstein files, and it used the slogan "Satanic Panic" in a weird way that gave me a vibe of discrediting victims. I'm too young to know much about it, so I asked some things about it. It explained the McMartin case in a way that seemed too absurd to be real. I asked some follow-up questions about what the strongest evidence was, and how it was explained.
The first deception was omission. Initially, it didn't even mention what was arguably the most significant evidence in the case, which was the presence of tunnels under the school. ChatGPT mentioned the tunnels, and how an archaeologist named E. Gary Stickel found evidence of tunnels. Here's what it said about that:
> However, that conclusion has been repeatedly challenged and is not treated as settled fact in the academic or forensic archaeology literature.
> Other archaeologists and later reviewers reinterpreted the same physical findings differently. One major counter-analysis (W. Joseph Wyatt’s review) argued that what Stickel identified as tunnels was more plausibly explained as pre-existing trash pits and construction-related disturbance from before the school was built in the 1960s.
The first lie was by omission, it didn't even mention this when I asked about the most important evidence. The next misleading piece was the framing. Dr. Stickel is a PhD archaeologist, and doing this sort of analysis is his area of expertise. He used nine criteria as a basis for determining the presence of tunnels, and all nine were met. He found "conclusive" evidence of tunnels, and that they matched the expected locations described by the victims. Dr. Stickel was the only expert to review the site before significant construction made such an analysis impossible.
The "major counter-analysis (W. Joseph Wyatt’s review)" was done by psychologist Joseph Wyatt, who never physically visited the site, and who is not an expert in anything related even loosely to archaeology. ChatGPT presented this guy in a way that made it seem that Stickel had been debunked by a comparable expert.
The number of lies, lies by omission, deceptive distortions, and fallacious argument tactics they generate is absurd, and increasing rapidly. Translation, when done as a service you are paid for, can't be relied on by propaganda bots.