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

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.

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.””

He’s just a kid, who took a wrong turn, and is from a good family. He’s obviously going to turn his life around. In 10 years, my best guess is the guy’s likely to become a surgeon.

I don’t expect movement towards AI among small business to show up in total cloud AI revenues.

Small businesses are typically more competently run than the typical big corporation, so I doubt they’re going to do things like lay most of their quality control people off thinking AI will do it. Big companies are mostly mid-wit trendies not anything that bright. Due to the perpetual motion of mature companies once they get off the ground, its hard for their stupid decisions to lead to bankruptcy. It takes a long time. They’re essentially doing the bumper cars version of business, while small business is in the 1960s Formula 1 where any major mis-step could end their companies’ existence.

Small businesses also don’t need to spend a lot. Their needs could be met by a semi-skilled local IT guy they hire to set up LM Studio on a gaming PC to run a 26B or 35B model. Big companies will spend the same amount on their peoples’ Dell or HP laptops business laptops that cost about the same but can’t run local AI.

Open weights models like Kimi and GLM provide near-frontier quality on any low cost service that installs them. GLM 5.2 is excellent.

I mean its use as a tool, maybe in a small business context. The individual can be the “visionary” giving their idea for a book to a de-facto ghost writer. AI’s will often give you back info that confirms your ideas, so its like any other tool. If I am not good with a hammer then I smash my fingers and if I’m not good with AI then I convince myself the earth is actually flat.

This moment in history is a lot like when power tools were first invented. The bad news is corporate leaders seem to view AI as a means to downsize people. The good news is that AI lets many people who formerly lacked the ability to do anything on their own to move on the “I wish I could do ____. but _____” ideas in their head. It could be anything. You can run a competent local AI model in LM Studio with a $1000 gaming PC or you can pay $20 a month to run a frontier-quality open weights model without the usage limits of the big names. The free AIs can help you get started on doing that. Big companies are using AI for a lot of stupid crap that they try to make sound very profound. They assume customer service and quality assurance are no longer “a thing”. This era reminds me of the 1970s when Bill Gates and Steve Jobs had their opening. Sometimes the big guys get sloppy. We’re at that point right now. Enshittification is everywhere.

If they’re tracking web use by PCs they know are not servers, then it’s likely due to a combination of local AI computer web scraping and people using SteamOS devices, which are running Linux. Prosumer local AI users often learn Linux if they don’t already know how to use it, because the software runs more efficiently on it. Anyone with a Steamdeck or Linux distro like Bazzite copying it on the desktop can exit to desktop mode and use it like a normal PC.