AI is the latest gimmick to avoid paying people a fair share of the profits. Hoarding profits is the only way anyone can afford to make $100 million before age 30 or be a billionaire by age 40. There is no other way to do it.

Pre-1860s: Have slaves do the work, to avoid paying fair wages

1860s-1920s: Have Chinese and low-wage immigrants do the work, to avoid paying fair wages

1930s: Plenty of unemployed, so no need to pay fair wages

1940s: War

1945-1960s: Lets try paying fair wages

1970s-early 2020s: That sucked! Offshore to Asia and Latin America and hire low wage foreigners, to avoid paying fair wages.

mid-2020s: Replace the humans with AI, to avoid paying fair wages

It’s a simple supply-demand issue that took 30 years to arrive and will take at least 5 years to solve unless the AI bubble pops a lot sooner to stop the hoarding by big tech cloud companies, Chinese state-backed investment and others who are betting it all on black like a has-been Hollywood actor at a Caesars roulette table on a Saturday night. The US never penalized US tech companies for shuttering the dozen memory plants since the 1990s so they just relied on the Koreans and a few others. Now Korea can’t keep up and the US tech companies have been caught with their pants down. While these kinds of people are very bright within their areas of expertise, leading to huge earnings, they’re not bright on most business topics and eventually the market shifts and they’re struggling.

This is where the tech companies founded in the 1970s-2000s are right now. Their original ideas are long in the tooth at best and about to be disrupted, if not already disrupted. The cash cows are looking a little fatigued. They’re looking for a lifeboat to keep the good times going, thinking its AI, just now realizing their industry screwed itself with all of the offshoring but its too late now. They have to once again “fake it until they make it”.

They just hope the people providing the capital don’t start asking about when the market will accept the higher price points so they can break even. That’s a question nobody acknowledges today when it’s asked because they know it could sink the boat if it becomes a hot topic of the month on CNBC and Bloomberg.

AI is the new African slave

They can vote out the city and county leaders then change the zoning to warehouses only.

Seems like a click bait article. One of those the reporter prompted the AI until it came back with that reply.

X loses money so no margins there. Twitter has never made a profit in its history that I’ve ever heard of. Facebook’s on the way out. 20 years ago it was college age users. 10 years ago it was people over 50. Now it’s a lot of commercial accounts posting as they do on other basically dying or dead platforms. The only sign of life is streaming video and chats related to streaming video. YouTube has been losing users and content creators to both Rumble and Twitch. The right 1/3 of America is on Rumble while Twitch took the gamers. Youtube still has business but they basically gave away enough business to make those 2 relevant.

Alphabet’s dependent on Youtube, cloud services, web search, and related ads to pay for the unprofitable parts of the business, which appears to be where the bulk of their employees work, rather than at the earnings-generators. If they screw up youtube, then they will have to lay a lot of the people in the fun and interesting jobs off, along with the many layers of bureaucracy and non-coders working in jobs that nobody’s quite sure what they do there. They can’t really afford to screw up youtube any more than they have. It can’t merely do well. It has to do great to pay all of their bills. Very similar to the action-hero movies at the movie studio paying for all the unprofitable ones that most people work on

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It’s relevant. To sum it up, this much smarter-than-average part of the PC user base routinely uses Linux rather than Windows 11. A part of the user base that is far more familiar with relative performance of both on the same hardware.

If I were a mid-wit reporter, I would still try to find a real story rather than troll the AI trying to get it to tell me something stupid.

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Anyone familiar with cops in europe knows experiences vary widely. British police have gone on a campaign to arrest people for preaching on sidewalks. German and other european police physically beat people with clubs without much provocation. They were arresting people for talking walks by themselves in the woods in 2020-2022. In Switzerland, they use water cannons to spray protesters when it’s below freezing. Small towns in America are pretty laid back for the most part, because there’s not much happening to begin with. All of the murder is in the larger cities or a few regions where they have a history of high crime like northern alaska and native american reservations and the areas marijuana is farmed illegally by organized criminals. These are easily avoided.

Seems the same pattern at X, probably because they hired in an ex-YouTuber at the top. Moderation algorithms are universally very poorly written and don’t appear to have gotten better in the last 6-8 years when they began using them to replace human moderators. On X they seem to have a timer for new accounts that puts a fake label on accounts as if they’re spamming or a bot, when it’s just a real user with opinions the algorithm is trained to dislike. Same exact crap the old Twitter did. They put the source code on the web and it showed how if you posted or replied on any of a broad range of topics, your account was scored lower until you were deemed low quality and made invisible. It’s like they just wanted cat memes and recipes from elderly women, but not many of them on Twitter or X. Probably because they hired in people from companies where non-controversial topics were a much larger share of what was discussed there. 1 trick ponies who weren’t suitable for doing the same job at X.

There’s no way to boost ad views or MAU with that approach. I believe X will never be profitable due to those people running the show and Musk not ever hiring anyone a lot better to run X. Musk had a similarly bad experience with Solar city. Another company he didn’t know enough about to manage himself and the people he hired to do it weren’t good enough either.

Based on my usage of Linux, Windows 10 and Windows 11, I have no doubt that Windows 11 uses at least 1-2gb more of ram. It runs like crap on older PCs while Windows 10 runs okay. That’s the true test.

I’ve dealt with AI and know the history with hallucinations. Today Hallucinations are more of an issue when it’s a controversial topic (politics, religion, or issues the political influencers have taken control of in the media).

They’re fed training data pushing a narrative preferred by the AI developers, who leave out the contradictory info. It’s a lot like social media moderation. Ultimately, there’s a group of individuals at the company who think a certain way and think the rest of the world should think like them too. It’s more of an issue after the R&D model has been turned into a commercial variant at the company by the engineers there and it’s out of the hands of the Ph.Ds who originally made it.

As soon as you prompt a basically decent AI to not rely on a training data or a superficial web scrape, and it goes looking for contradictory info, then it re-thinks what it told you. This is more of an issue with the commercial corporate subscription AIs and the older small LLMs from years ago that didn’t have web scraping capability. Things have definitely changed in the last year or two where the dense models with web scraping capability are concerned. At least, if you go with the uncensored or ablitterated “Thinking” versions of them available on the Huggingface site, or you use a third party service to access a large open weights model that’s been made uncensored by whoever maintains it.

Software developers will always be needed, at least to make sure the vibe code didn’t make a logic error that will cause the elevator to crash when someone pushes the wrong series of floor buttons, etc. However its making a lot more coding equivalent to an Excel Macro, where an end-user can do it without a pro developer being involved. Things like JSONs for AIs or basic python apps. It might even lure some of those people into learning a little about the language.

There’s no way possible an AI can hack anyone unless the people running it intended for that to occur or were negligent. Anyone with questions about that should install a copy of LM Studio or Ollama on their PC, download a model, and see how easy it is for the AI to hack someone. It’s impossible. Only human intervention can make it possible.

These stories seem like propaganda intended to get the US government to block usage of open weight models, since they pose an existential threat to the marketshare of expensive closed AI services these companies offer. Open weight models exist in all sizes, from very rudimentary small models to massive near-frontier quality models, and anyone with the tech know-how and a computer able to run them can do so without paying the AI companies or involving the AI companies in any way. It’s like Linux for AI.

It comparable to if Microsoft declared Linux a hacker OS that hackers can use to take down networks. Fear, uncertainty and doubt are the first resort, not last resort, of big companies who know they can’t possibly compete with a better alternative.

I’ve been using Linux and Graphene for a long time and welcome all third party OS phones not controlled by Google and Apple. Jolla never marketed theirs in the USA and it always seemed more like a prototype phone for hobbyists more than a daily driver (same as all of the others).

This will probably continue to be the case until someone with deep pockets in the USA does a deal with a friendly phone OEM who makes a decent quality product and a mobile OS group who can make it at least as user friendly as Android. Considering the Byzantine labyrinth that Android’s user interface is today, the last part should not be that difficult.

oh no, it’s not just in the USA. Big companies in China are making AIs, like GLM, Wan, Hunyuan, Kimi, Qwen, Kling, etc. The difference is, except for Kling, GLM and Kimi, you can also run those on a gaming PC at your house rather than just in a cloud server farm. American AI companies don’t really do that except Google’s Gemma (which they turn into Gemini) The American hyperscalers are probably buying up most of the world’s GPUs, Ram, and SSDs but the Chinese aren’t far behind. They have state money to spend. Some say they are way ahead on expanding energy production to power all those data centers.

Indie developers, like the 1-5 staff game studios on Steam, never stopped doing so. You can run most indie games on an old PC today. The big AAA game companies like Activision are taking a big gamble on the next generation, which they insist you’ll need a newer console or PC to run. Bethesda tried that with Starfield and it didn’t work out so well. The game’s not as terrible as people say, but its kind of in the middle of the pack of AAA gaming RPGs and it demanded a fairly large amount of VRAM to run well. I predict things will not go well for games like Modern Warfare 4 that won’t run on the last gen consoles or PCs. If developers aren’t aiming at older devices then they’re making a niche product not a mass market product

Windows 11 is bloated enough that people using local AI avoid it like the plague. These aren’t dumb, non-technical people. They’re the opposite of that. They all use Linux or maybe Windows 10 (still updated and you can use IoT which goes to 2032). A near-frontier quality AI told me using IoT would free up about 1-2gb of ram compared to Windows 11.

While the headline doesn’t discuss it, the article begins with “Meta has opened Pandora’s box with its AI-infused smart sunglasses. The pricy accessory has sparked a heated debate over privacy, with unsavory individuals abusing the eyewear’s easily-missed cameras to harass unsuspecting strangers in public — garnering the specs the distinctly unflattering nickname of “pervert glasses.””