And Japan isn’t either. They are requiring that by the time you retire you’ll have paid at least 30 years into the pension system or have equivalent financial resources any gap.

I don’t think this is a very good use case. You could do it better with a strong LLM and structured outputs.

The problem is that you want the model to carefully reason about the goal and code.

Zero shot classification with an approach like this isn’t going to do that. It’ll answer on first pass vibes.

Why? What business is it of yours?

They were probably under an agreement not to reveal the buyer or amount.

Meta in turn probably wouldn’t have wanted news to get out and people forerunning them to claim other online properties just to sell them back.

That cuts both ways. US entities own huge amounts of overseas assets including debt.

A more appropriate saying would be cutting off your foot to spite your leg.

Thankfully no one has done that yet.

We have a subscription at work. They have a CLI agent that works pretty well. Lately I mostly use it with grok, which is actually quite a capable model.

Aider (and probably others) came well before CC.

No. Japan certainly doesn’t. If you want to renew your visa you go apply at the local immigration department and they mail you your renewal notice a month or two later. No need to leave the country at all.

It was a long time ago, so I might have the details wrong. I suspect it may have been expats from Korea taking a short trip to Japan to renew their visa, or even folks switching the type of visa they were on.

It’s not really clear what you mean. 100kWh is more than the entire battery capacity of the EV.

Maybe lifetime?

Grid scale batteries and household batteries are being widely deployed.

Australia is the third largest market in the world for grid scale batteries, and has the highest per-capita capacity in the world; https://www.pv-magazine.com/2025/10/21/australia-becomes-wor...

Not to mention more than 200k new household batteries installed in 2025 (out of roughly 10 million households).

Agree. Another consideration is that input token costs are effectively quadratic with the number of conversation turns. The minute you get into a long conversation you can see the costs shoot up.

You can get far more gas out of even a $20 plan of you’re careful to break things up into relatively small discrete steps, clear context regularly and give the model plenty of information to work with.

My workflow for bigger features is to write out a plan document and then proceed in smaller implementation steps, reviewing as I go. If I find something odd, I ask the agent why and often that leads to discovering a new dimension to the problem, which in turn is an opportunity to adjust the approach.