Pot calls the kettle black.

Like, they’re both liars. Both are making unreasonable promises to suck up as much capital as possible.

“No, you see, we promise all this tech is real and awesome. It’s totally another hyper growth market that will drive economic development! Ignore the fact we’re slipping in to recession despite this being a “booming” market.”

The thing is, companies like Google, Facebook, Amazon and Microsoft are already profitable, so it could lose them huge amounts of money, with no real meaningful benefit to user retention or B2B sales, but the companies as a whole would still be profitable. It could be a huge money black hole, but they continue to chase it out of unjustified FOMO and in an attempt to keep share prices high through misplaced investor confidence.

Apple’s share price has taken a pretty big hit from the perception that they’re “falling behind” on AI, even if they’ve mostly just backed away from it because users didn’t like it when it was shoved in their face. Other companies are probably looking at that and saying “hey, we’d rather keep the stock market happy and our share prices high rather than stop wasting money on this”.

It’s so disingenuous and absurd to claim this is a AI problem. It’s an over saturation of qualified individuals in a field, problem. These companies and executives are just using AI as a cover story to hide the fact that the industry is not growing fast enough to employ the number of skilled professionals in the field. This was the point of the whole “learn to code” talking points. Executives and shareholders wanted an over-saturation in the field so as to push down wages and reduce the bargaining power of employees.

This situation kind of hammers home the importance of a robust social safety net, strong unions, minimum wages that keep up with inflation, and maintaining an affordable cost of living. There being a saturation in one job market should not doom people to poverty conditions. Even a job at chipotle should pay well enough to live comfortably on, and workers there should have enough bargaining power to ensure decent treatment.

Like, we need to act collectively to ensure stability and prosperity. There is no path that someone can take individually to ensure these things, no escape hatch to prosperity for “hard workers”. “Learning to code” and “Get a CS degree” seemed like a straight forward answer, but here we are.

open sourcing doesn’t effect the core issue.

“Why? Uh… because, uh, it was too hard to maintain a separate version. Definitely not because we want everyone on the main version so we can slurp up that delicious personal information from a captive user base”

It also is just making up a string of words that are probabilistically plausible as a continuation of the dialog.

You can do the same tests with other words and it will just contradict it’s self and get things wrong about how many times a letter is pronounced in a word.

I asked it how many X’s there are in the word Bordeaux it told me there are none.

I asked it how many times X is pronounced in Bordeaux it told me the x in Bordeaux isn’t pronounced with the word ending in an “o” sound.

I asked it how many “o” there are in Bordeaux it told me there are no o in Bordeaux.

So, is it counting the sounds made in the word? Or is it counting the letters? Or is it doing none of the above and just giving a probabilistic output based on an existing corpus of language, without any thought or concepts.

This is known. There are many jerks in the world.

But at the end of a the day, a jerk with good principles is better than the nicest person with none.

It’s so weird to see a company with such strong and straightforward brand chasing trends in such a sloppy manner.

The thing that would get old is managing all that damn grass. That and presumably having to drive 20 minutes to get anything.

Never personally had issues with living near or even with friends. Only ever had issues with was a rando roommate I had because a friend had to move for work.

Although a lot of the tooling for manufacturing is made In Germany and the Netherlands. Particularly the lithography machines. A lot of important of the chemicals come from Japan. Japan also has a history of manufacturing chips, although they haven’t been on the leading edge node for a while.

Because there are no rich connected socialite interest groups that frequent same country clubs as the payment processor C suites who care about nazi’s, in fact, the same people pushing fash politics at sub stack probably go to the same country club.

A lot of artists will practice anatomy by drawing people nude, largely because it’s hard to get a good understanding of anatomy by only drawing people with clothes on.

If you wanted to put some examples of bare human anatomy in odd positions to expand the range that the model is capable of, well there aren’t many larger corpuses of that than porn.

Also, even if they don’t want it to make explicit content, they probably want it to make “suggestive” or “appealing” content. And they just assume they can guide rail it away from making actual explicit content. Although that’s probably pretty short sighted given how weak guardrails really are.

It’s insane to me that people are actually trying get these LLMs to do things. Let alone outside of an experimental setting. Like, it’s a non starter at a fundamental conceptual level.

It reminds me of an experiment where they had a few try and run simulated vending machines.

It was pretty clear from the results that none of the LLMs were capable of consistently performing basic tasks, with them routinely introducing irrelevant or incorrect information that would derail things. Such as ordering nonexistent products, assuming capabilities that it was never given, and generally just failing to properly recall information or keep values it was given consistent. Some of the failures were quite spectacular, ranging from insisting it had gone bankrupt and was trying to sell the vending machine, to threatening to nuke suppliers and trying to contact the FBI.

Exactly, They’re just probabilistic models. LLMs are just outputting something that statistically could be what comes next. But that statistical process does not capture any real meaning or conceptualization, just vague associations of when words are likely to show up, and what order they’re likely to show up in.

What people call hallucinations are just the system functional capability diverging from their expectation of what it is doing. Expecting it to think and understand, when all it is doing is outputting a statistically likely continuation.

”we’ve built a machine to minimize the amount of time people need to spend touching grass.”

“Oh no, someone’s gone insane from not touching grass”

I can’t imagine how much it sucks for him to be dealing with this, but also, he’s been a major backer of the technology and pushing for it to be used in places it really shouldn’t be. Sort of ironic.

I actually kind of believe them on this. Like, the last team they’d want to cut back on if they were gung hoe on AI would be web services. Like, most “AI” companies aren’t hosting their own services, they’re relying on a third party to do that.

Admittedly AWS isn’t really built around providing what those companies need, being focused more on hosting websites (you know, a proven business model that actually makes profit) and less on massive racks of Nvidia GPUs to run probabilistic models.

But still, that’s a fairly small cut relatively speaking compared to Microsoft and other’s recent announcements. So I’m tempted to believe that theses are actually just fairly normal cuts, as supposed to what Microsoft is doing; cutting to the bone to free up more cash to buy a few more Nvidia GPUs.

Free speech is the right to say what you believe without facing legal consequences from the government, not the right to publish what ever other people say uncritically, especially when what they’re publishing is directly inciting real harm to the public.

Their current moderation stance is akin to allowing people to shout “fire!” In a crowded public space.

If you want a serious answer ask a serious question. Not an absurd and ghoulish hypothetical.