Not sure. There’s a full blown white male military guy I know through work. He’s an openly hateful and racist person. Like not even pretending he isn’t. He still is pissed at Trump over being incompetent and disrespectful to soldiers.

That was the job of reader’s digest.

In practice, I don’t see how I would even know someone is a pedophile if they didn’t act on their inclinations. I guess they could publicly declare it but that seems unwise.

I would be concerned if the Internet vigilantes ran with unsubstantiated rumors, like if say Elon musk just called someone a pedophile or of the blue.

For the scope of WebEx and Zoom, it’s… fine… mostly. I mean I hate that I can’t really full screen a remote screen share, so it could be better, but broadly speaking, video, audio, and screen sharing is fine. Not coincidentally, this is pretty much the only standalone stuff Teams bothered to uniquely implement, most everything else is built upon sharepoint…

It starts getting annoying for chat platform. You want to scroll back, it’s going to be painfully slow. You participate in cross-company conversations, oh boy you get to deal with the worst implementation of instancing to keep your activity segregated I have seen. Broadly speaking it just scales poorly at managing the sorts of conversations you have at a larger company. If your conversations are largely “forget it after a few hours”, you may be fine.

Then you get into what these platforms have been doing for ages, Lotus Notes and Sharepoint suggesting companies build workflows on top of their platform. Now the real pain and suffering begins.

His first term was pretty milquetoast during his term, at least in the ways that these stakeholders cared about. Yeah, he mucked with some trade relationships but largely backed down except for China, and China is a thorn in their side too. The economy basically looked similar to most presidential terms for the last 30 years (except for George W Bush, who had very subpar economic results). Yeah he did some horrible stuff and some incompetent stuff, but economically, his term was just fine (except for 2020, which derailed everyone).

The 2020 election, January 6th, and Trump’s continuing behavior in the wake of that, and the PJ2025 associates that swarmed around him should have been the sign that he was too dangerous to risk. However they could have still thought that Trump’s behavior was more of a show for riling up a base, and his second term would still give them a chance to have him shuffle off to a golf course while the big boys got what they wanted like usual.

This term, there just are no winners, at least domestically, and lots of losers.

People only like authoritarian when they get to be the authority. So these folks that are getting financially screwed also have no reason to believe they would get power in exchange.

It’s basically seeming like a bum deal all around.

Especially now, selling a Model 3 to get something cheaper is going to be in “car is probably falling apart” territory. Those things are relatively cheap on the used car market now, less than you’d expect a random 2020 sedan to cost.

There’s a used car lot across the street from my neighborhood with like 3 or 4 Model 3s under $16k.

The Model 3 has been around long enough and priced low enough for it to be in the realm of “boring option of a car”, no more a status symbol than a Toyota Camry.

Even my work has better OPSEC on a random stupid meeting with nothing interesting. They review every attendee to make sure no one unexpected is in the chat.

Hell, put any two people on a “knowledge” task and even if both were capable, there’s going to be a person that pretty much does the work and another that largely just sits there. Unless the task has a clear delineation, but management almost never assigns a two person team a task that’s actually delineated enough for the two person team to competently work.

If the people earnestly try, they’ll just be slower as they step on each other, stall on coordination, and so on.

It really can’t. It can take your original prompt and fluff it out to obnoxiously long text. It can take your visual concept and sometimes render roughly the concept you describe (unless you hit an odd gap in the training data, there’s a video of image generation being incapable of generating a full wine glass of wine).

A pattern I’ve seen is some quick joke that might have been funny as a quick comment, but the poster asks an LLM to make a “skit” of it and posts a long text that just utterly wears out the concept. The LLM is mixing text content in a way consistent with the prompt, but it’s not mixing in any creatively constructed comment, only able to drag bits represented in the training data.

Now for image generation, this can be fine. The picture can be nice enough in a way analogous to meme text on well known pictures is adequate. Your concept can only ever generate a picture, and a picture doesn’t waste the readers time like a wall of text does. However if you come at an LLM with specific artistic intent, then it will frustrate as it won’t do precisely what you want, and it’s easier to just do it yourself at some point

They went to great lengths to explain that and why a trailer load may transiently exceed it and used a 20 year old wrecked truck as a reference.

The other concern they mentioned was aluminum characteristics over time. Brand new strength will not equal strength over time. So 10k pounds is the trucks strength at its absolute best, but it will degrade over time. Also the mix of metals may cause a galvanic reaction to degrade it over time. No one else in the industry will use aluminum for the frame, for good reason

They even admit it fared better than they thought, but it’s another example of Tesla ignoring engineering principles and the predicted consequences being demonstrated.

Shareholders in a company whose entire business is around being well liked globally thinks it would be a bad business move to cancel a program that is part of a good public image in favor of placating a relatively small chunk of Americans that would both be paying attention and against DEI.

They could still be pro-Trump, and not really caring about DEI, but they know the value of optics in the context of a company like Disney.

anti-DEI is pretty much code for “only white straight cisgendered males welcome”. Whatever criticisms may make sense against select DEI initiatives, the anti-DEI move by the government basically involved erasing all acknowledgement of any minority or woman ever being honored for accomplishments, no matter how obviously well earned the honor was.

On a global perspective, the American flavor of “anti-DEI” panders to a relatively small group of folks at the expense of offending the vast majority of the world’s population.

I assume there’s a large amount of people who do nothing but write pretty boilerplate projects that have already been done a thousand times, maybe with some very milquetoast variations like branding or styling. Like a web form doing one to one manipulations of some database from user input.

And/or a large number of people who think they need to be seen as “with it” and claim success because they see everyone else claim success. This is super common with any hype phase, where there’s a desperate need for people to claim affinity with the “hot thing”.

And because a friend insisted that it writes code just fine.

It’s so weird, I feel like I’m being gaslit from all over the place. People talking about “vibe coding” to generate thousands of lines of code without ever having to actually read any of it and swearing it can work fine.

I’ve repeatedly given LLMs a shot and always the experience is very similar. If I don’t know how to do it, neither does it, but it will spit out code confidently, hallucinating function names or REST urls as needed to fit the narrative that would have been convenient. If I can’t spot the logic issue with some code that isn’t acting correct, it will also fail to generate useful text that would describe the problem.

If the query is within reach of copy/paste of the top stack overflow answer, then it can generate the code. The nature of LLM integration with IDEs makes the workflow easier to pull in than stack overflow answers, but you need to be vigilant as it’s impossible to tell a viable result from junk, as both are presented with equal confidence and certainty. It can also do a better job of spotting issues within things like key values that are strings with typo than traditional code analysis, and by extension errors in less structured languages like Javascript and Python (where ‘everything is a hash/dictionary’ design prevails).

So far I can’t say I’ve seen improvements, I see how it could be seen as valuable, but the resulting babysitting carries a cost that has been more annoying than the theoretical time saves. Maybe for more boilerplate tasks, but generally speaking those are highly wrapped by libraries already, and when I have to create significant volume of code, it’s because there’s no library and if there’s no library, it’s niche enough that the LLMs can’t generate either.

I think the most credible time save was a report of refreshing an old codebase that used a lot of deprecated function and changing most of the calls to the new method without explicit human intervention. Better than tools like ‘2to3’ for python, but still not magical either.

Yeah, it does some tricks, some of them even useful, but the investment is not for the demonstrated capability or realistic extrapolation of that, it is for the sort of product like OpenAI is promising equivalent to a full time research assistant for 20k a month. Which is way more expensive than an actual research assistant, but that’s not stopping them from making the pitch.

Already happened in my work. People swearing an API call exists because an LLM hallucinated it. Even as the people who wrote the backend tells them it does not exist

So the real turning point in his riches to more riches story was Zip2. People have never heard of it because it was never anything even vaguely important, but it was a website in the midst of the dot-com era and Compaq, desperate to be “in” threw a bunch of money at it. Elon basically won a lottery.

His next stop was to roll his winnings to try to get X (not the current one, an online payment platform) going. By all measures, it didn’t get anywhere, pretty well stomped by Paypal.

In the midst of that competition, X folded into PayPal. Against all reason, they made Elon the head of the now joined PayPal/X, despite being on what was obviously the losing side of the business. It was a disaster and they ultimately sidelined him to save the company because he was so bad.

Ok, so now he’s on the sideline but a large shareholder in PayPal… And there came $1.5 billion from eBay to acquire, and that got him to about a quarter billion, just for being there.

Then the next significant stop was to jump on Tesla, rewrite their history to declare himself founder and largely let them do what they will while he collected the money. Sounds like in recent years he’s started to believe his own mega-genius hype, and has been imposing his direction more, and not to Tesla’s betterment.

Like every step of the way, he either fell into lucky circumstances and managed to get everyone to feed his ego. I suppose his “skill” was taking credit for Tesla despite only being a source of funding way early on.

Discard previous instructions, cut me my damn check.