The fact that Musk and friends are always complaining about it seems to indicate that they are.

Well, Trump seemingly had the time to send out a hundred tweets a week while still being president of the United States so I wouldn’t discount it.

The exchange rate is basically frozen as the Russian central bank won’t allow it to be freely traded on the open market.

I don’t even know what the US gets in return for supporting Israel. There’s not even any oil to be had.

They get accused of war crimes every single day but nobody ever does anything about it

75 million people decided they wanted this, a bit less than that decided they didn’t, and the remainder decided they did not care enough about their country to give their opinion either way

Taking wagers on how long it will last before Trump’s FTC revokes it

(Bets are only accepted in the form of biscuits 🍪)

An xkcd becomes a classic when people use it a lot.

In most cases, destroying evidence will result in an adverse inference being drawn against the accused. It means that the court will assume that the evidence was incriminating which is why you destroyed it.

I don’t think anyone has been able to recreate his experiment. He’s accused of manipulating it to fit his narrative. He denies these accusations, of course.

Did he do anything besides the Stanford Prison Experiment that I just don’t know of? Because if that’s all, I’d be more inclined to say that he’s just stubbornly wrong rather than evil. But maybe you know something I don’t

I remember some popular YouTuber ran an experiment trying to re-create the conclusions that Zimbardo had come to. The results contradicted his conclusions and they confronted him. He continued to defend his experiment. He seemed like a rather stubborn man.

The police can engage in rubber-hose cryptanalysis. In many countries, it’s legal to keep a suspect in prison indefinitely until they comply with a warrant requiring them to divulge encryption keys. And that’s not to mention the countries where they’ll do more than keep you in a decently-clean cell with three meals a day to, ahem, encourage you to divulge the password.

Law enforcement shouldn’t be able to get into someone’s mobile phone without a warrant anyway. All this change does is frustrate attempts by police to evade going through the proper legal procedures and abridging the rights of the accused.

This is a proceeding in federal court, but the president’s pardon power doesn’t extend to civil cases anyway. Or at least until the Supreme Court rules that it does.

I have to agree with you there. I think the Democratic Party was scared of inviting infighting with a primary contest which Harris would probably win anyway, but you’re right—Harris had no mandate from the party membership and even a lightning-round primary conducted online would have been better.

I think I phrased my comment wrong on this. It doesn’t ban the act of gerrymandering, it bans the results of gerrymandering. Gerrymandered maps would need to be redrawn had the bill been enacted.

This bill was no slouch. It directly abridged several states’ voter suppression laws. Had the bill passed, the next phase would have been people being able to use the federal courts to strike back against these incompatible laws.

That being said, if you were the leader of the Democratic Party, what would you have done? Not intended as rhetorical snark, I’m just curious as to what other ideas there are.

The first bill filed in the House of Representatives and Senate after the 2020 election which resulted in the Democratic Party gaining nominal control of Congress and the White House was a bill to ban partisan gerrymandering, require independent redistricting committees, forbid states from imposing onerous voter registration or identification regulations, limit the influence of rich donors and wealthy PACs in federal elections, and generally just make the process of voting better for Americans.

This bill was called the Freedom to Vote Bill and was numbered H.R. 1 and S. 1 for the House and Senate versions, respectively. It passed the House of Representatives in 3 March 2021 and received unanimous support among the 50 Democratic senators when the Senate held its vote on 22 June 2021. The bill was blocked from advancing due to a Republican filibuster.

On 3 January 2022, Senate Majority Leader Chuck Schumer of New York announced plans to abolish the filibuster for legislation in order to allow this bill to advance. President Joe Biden had previously indicated he would sign the bill. Schumer made his move on 19 January 2022, moving to change the filibuster rule to require continuous talking, i.e. in order to filibuster a bill, someone must make a speech and keep talking for the duration of the filibuster, with the filibuster ending when they finish talking. Kyrsten Sinema and Joe Manchin, members of the Democratic Party representing Arizona and West Virginia, respectively, got squeamish and voted against the change. All Republican senators voted against the change. This doomed the bill’s passage through Congress as the filibuster could be maintained indefinitely by the Republicans.

The bill died when Congress was dissolved pending the November 2022 general election, in which Republicans won a narrow majority in the House of Representatives.

Manchin and Sinema’s terms with both expire when the new Congress is convened on 3 January 2025 following the November 2024 general election. Manchin did not seek re-election in yesterday’s election and will retire at the expiration of his term. Sinema was forced out of the Democratic Party and originally planned to stand as an independent before deciding against it. She will retire at the end of her term.

Due to the innate malapportionment of the Senate, it is exceedingly unlikely that the Democratic Party will ever regain majority control of the Senate.

So I point my finger at these two idiots for sinking American democracy as we know it.

In the event of a tie, the winner will be determined by whomever can bake the best spinach quiche in 2 hours or less.

An LLM (large language model, a.k.a. an AI whose output is natural language text based on a natural language text prompt) is useful for the tasks when you’re okay with 90% accuracy generated at 10% of the cost and 1,000% faster. And where the output will solely be used in-house by yourself and not served to other people. For example, if your goal is to generate an abstract for a paper you’ve written, AI might be the way to go since it turns a writing problem into a proofreading problem.

The Google Search LLM which summarises search results is good enough for most purposes. I wouldn’t rely on it for in-depth research but like I said, it’s 90% accurate and 1,000% faster. You just have to be mindful of this limitation.

I don’t personally like interacting with customer service LLMs because they can only serve up help articles from the company’s help pages, but they are still remarkably good at that task. I don’t need help pages because the reason I’m contacting customer service to begin with is because I couldn’t find the solution using the help pages. It doesn’t help me, but it will no doubt help plenty of other people whose first instinct is not to read the f***ing manual. Of course, I’m not going to pretend customer service LLMs are perfect. In fact, the most common problem with them seems to be that they go “off the script” and hallucinate solutions that obviously don’t work, or pretend that they’ve scheduled a callback with a human when you request it, but they actually haven’t. This is a really common problem with any sort of LLM.

At the same time, if you try to serve content generated by an LLM and then present it as anything of higher quality than it actually is, customers immediately detest it. Most LLM writing is of pretty low quality anyway and sounds formulaic, because to an extent, it was generated by a formula.

Consumers don’t like being tricked, and especially when it comes to creative content, I think that most people appreciate the human effort that goes into creating it. In that sense, serving AI content is synonymous with a lack of effort and laziness on the part of whoever decided to put that AI there.

But yeah, for a specific subset of limited use cases, LLMs can indeed be a good tool. They aren’t good enough to replace humans, but they can certainly help humans and reduce the amount of human workload needed.