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.
You might check out coreboot and PCs that support it https://www.coreboot.org/end_users.html
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.
Some companies are in a race to the bottom on customer service, quality and customer satisfaction. They seem to assume the hogs will continue slurping up what’s at the trough. It’s allowed some to take marketshare that’s been off the table for upstarts for the last 20 years. Example: Independent game developers on Steam, some of which are lone developers without a team, now have a healthy business thanks to the big AAA game companies faltering. It’s not 100% about AI, but that’s part of the issue they have. Knowing when to rely on AI, possibly allowing a reduction in staff, versus when they’re over-relying on AI, seems elusive for them.