Puts anyone accused of being Satoshi at great risk.

When you win the lottery in the UK, they help you hide the wealth. Special bank accounts, advice on how to avoid other people finding out, that sort of thing. There is a risk of both crime and people coming to beg for money.

In the medium to long term the main outcome of this war will be accelerating the move away from US based currency and payment systems. Lots of alternatives to Mastercard and Visa already have some momentum, and trading oil is moving away from USD.

With such a system you can tolerate a lot of false positives, to ensure you don't get false negatives. All that happens is the false positive image gets sent to the ground for verification.

And remember that the other option is having nothing at all.

>> What if the white hat AI introduces the vulnerabilities?

Always possible of course but I find that the LLM's are better at writing robust code than most humans. Yesterday I was working to make a basic login page for a web app. After I got it working I asked the AI how I could make it more resistant against hacking and it came up with a long list of improvements. Brute force protection, cookie security, session binding, idle timeout, concurrent session limits, login anomaly detection, etc., etc. Very helpful.

It's a hassle to pick and choose from the various models I agree. I'm using the Windsurf IDE and recently they came up with an "adaptive" model picker that supposedly sends your prompt to the best model for the task. I was using it yesterday and got good results, no telling which model or mix of them were doing the work.

Didn't they try to do that kind of image recognition in the 90s and find it unreliable? IIRC they tested it with tanks and found that rather that detecting tanks it was detecting sunny days, and once they eliminated the weather variations it couldn't do anything useful.

Today Tesla's vision system is notoriously unreliable, and you would assume that in military applications the aircraft are going to be camouflaged.

But then you have to transmit potentially massive amounts of data back to Earth.

Say you want to detect aircraft entering airspace. They are difficult to detect with radar, so you want to do it optically. You need decent resolution to capture small drone sized ones, and you need multiple images to help with camouflage, false positives, and determining flight path.

That's a lot of data. The data rate is likely to be the limiting factor on what resolution and how frequently you can image an area. Being able to do the detection on the satellite, and only send reports or images that suggest further investigation is worthwhile, is going to be very useful.

I am thinking it costs them a gigantic amount of compute resources to run Opus 4.6. In my experience though, it is the premium model for coding and in many cases worth the extra price.

Claude can be slow I agree. But I submit that is because so many people are demanding to use it.

I work with other models too and get good results at times but if it is something particularly difficult the Anthropic models tend to do a better job for me.

"In the last few weeks, Mythos Preview has identified thousands of zero-day vulnerabilities with many classified as critical."

We are moving into a scenario where there's a race for extremely capable white hat AI to identify the existing vulnerabilities and try to plug them, and black hat to find and exploit them. I think this is a good move to try and get the white team ahead of the game. There's a possible apocalypse here.

I generally use Sonnet, it is very capable for most things and cheaper. If it gets stuck or starts to struggle I switch to the better model.

The Claude models are the best by far for coding assistance in my experience. Apparently a lot of other people think so too because Anthropic is getting swamped. They are having to ration out their compute resources and in some cases have raised their fees to 2-3 times more than the lesser competition charges. I'm finding that in order to keep costs down I'm having to use 2nd-tier models for simpler work and revert to Claude for the heavy lifting. A hassle.

Clearly the demand is there. At this point I expect Anthropic is revenue-limited by their infrastructure availability so it makes sense that they recruit the big players to help beef it up.

China is headed that way with their renewables. Ireland is planning for renewable hydrogen production as well.

I think it will probably only end up with relatively niche uses, but it's a useful option.

Cryogenic has bee used for the ground tests, so presumably it was here too.

AI slop articles that get summarized into yet more AI slop. I doubt many humans read this stuff.