167,823 karma · joined September 8, 2014
www.animats.com
That why Salon is disappearing. I used to read it, and I thought it disappeared around the time Brill's Content and The Standard went under.
I haven't seen Salon in a Google search result in years.
Claude Fable is now good enough that I should be using it. The latest Claude version is said to be comparable to a mid-career graphics programmer, which is about what I need. Six months ago it wasn't good enough to use for such work, and probably would have made a hash of my code. There's been progress.
But Anthropic's business practices are scary. They have a reputation for cancelling accounts for random reasons, offer rather bad terms, and have no customer support. I have a strong aversion to services with a reputation for cancelling services arbitrarily. They will apparently cancel based on their system's guesses as to what you're working on. Sometimes they guess wrong. What I'm doing (metaverse clients) is so far out of the mainstream they may guess wrong.
I'm currently stalled signing up for Claude because their verification email system can't get to my inbox. (Some problem with their using Constant Contact, a spam system, to send transactional emails to my own domain, which, long ago, I had blocked at the Constant Contact end. I think. The verification email never touches the inbound mail server.) It's very important to Anthropic that you sign up with the "right" email address, and it may not be possible to change it, so using some disposable address is not a good idea.
Suggestions?
I used to go to parties at Hacker Dojo in the early days of AI. Google wasn't into AI yet and Hacker Dojo had classes, often attended by Google people. (I learned way too much about support vector machines, in a class taught by a guy from BlackRock.) There were a lot of very good looking Chinese women at the parties who were very interested in what people were working on. They were very bright, understood the subject, and had business cards from small companies no one had heard of. Then one day they all disappeared and were not seen again. I regret not asking one how she liked working for the Third Department.
And we have no idea what AI systems will be doing in 2027.
A real risk is the market cap, including insider holdings, being large enough to force the stock into major indices. That makes the stock a must-buy for index funds. That in turn props up the stock regardless of how crappy the financial position and how small the float. That was controversial when Space-X went public. It went into several major indices despite not really being that big in terms of revenue.
Vehicle Data Sharing appears to be opt-out, not opt-in. They do say "If you’d like to ensure you’re not sharing data, check Vehicle Connectivity in your Settings menu in-vehicle and toggle it off." After doing that, someone should check to see if the wireless modem is still emitting.
[1] https://www.ford.com/data-and-privacy/manage-your-settings/c...
China has a "return to village" program for people who didn't make it in the big city. Here's the propaganda version of that.[1] Return to the land. Go back to being a peasant. Survive on 0.3 hectare? That's a back yard, not a farm.
[1] http://english.scio.gov.cn/in-depth/2024-07/30/content_11733...
[1] https://www.sceptre.com/TV/4K-UHD-TV/U650CV-UMS-65-4K-UHD-TV...
[1] https://archive.org/details/colossus-the-forbin-project-1970...
One comment was "A common piece of wisdom is that mathematicians only have a few tricks in their bag – which they skillfully apply again and again." Feynman made that point in his autobiography. For various reasons, he had a different set of mathematical tools than others in his field, and that helped him to solve problems that stumped others.
A big AI model has access to all known tools. AIs have more breadth than any human. Some of these breakthrough proofs seem to come from applying techniques from areas different from what people in the field tend to use. I'm not qualified to comment on math at that level, but the comments by mathematicians seem to hint in that direction. That may indicate why throwing vast amounts of compute at these problems works - an AI can try everything.
[1] https://proofsandprompts.com/2026/10/08/100-reactions-to-100...
Gallium might be a problem. "China accounted for 99% of worldwide primary low-purity gallium production. The remaining primary low-purity gallium producers outside of China included Japan and Russia. Germany, Hungary, and Kazakhstan ceased primary production in 2016, 2015, and 2013, respectively. Ukraine most likely ceased primary production in 2022. Several new gallium production projects were announced including those in Australia, Canada, Greece, Kazakhstan, and the Republic of Korea."[1]
The price of gallium has increased by a factor of 10 in the last 10 years. It's doubled since last year.[2] A huge new demand for gallium is going to be a problem.
[1] https://pubs.usgs.gov/periodicals/mcs2026/mcs2026-gallium.pd...
Today, it would be a bigger deal. In the age of AI, exploiting hard to exploit holes is so much easier. AI has patience limited only by your budget.
[1] https://www.itnews.com.au/news/intel-soothes-hyperthreading-...