FerrisEuler
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.
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.
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.