The downside is that unlike fines which scale by income here – the term is "päiväsakko" or "day fine", a fine unit that scales with net income – the fees are fixed sums, so unless a person with high income really does something heinous with their car, they're not as likely to get 200k€ (really) speeding tickets.

So now if you're rich you can speed all you want and pay a relatively small fee for it, as long as you're not doing 200km/h in a school zone or something like that

Edit: https://www.nbcnews.com/id/wbna4233383

From 2004. He was driving 80km/h in a 40km/h zone.

"Millionaire hit with record speeding fine"

One of Finland’s richest men has been fined a record 170,000 euros ($217,000) for speeding through the centre of the capital, police said on Tuesday.

Also, as I said, we have a crew of a Russian-operated ship on the record admitting to cutting a cable by dragging their anchor, and all the previous cases have also been traced to other Russian-operated ships (well, I think one was Chinese though) using AIS and radar data, and this has been done by OSINT folks in addition to the local authorities here around the Baltic. Are all of these people being controlled by NATO and the US?

Pro-Russian people like you assume that other countries will always just let the US or "NATO" do whatever they want and have absolutely zero autonomy at all, and you're absolute experts at ignoring everything that doesn't fit your insanely simplistic narrative that's predicated on the idea that Russia is just a perpetual victim and a spooky spooky NATO CIA USA cabal is actually doing everything bad that the Russians get up to.

The Eagle S (I think it was?) case was brought to court here in Finland and they even admitted to dragging heir anchor but steadfastly maintained that it was due to their own incompetence (which the judge unfortunately believed.)

I suppose that was also a NATO ploy?

Apropos to that, I wonder if OpenAI et al are losing money on API plans too, or if it's just the subscriptions.

Source for the OpenAI loss figure: https://www.theregister.com/2025/10/29/microsoft_earnings_q1...

Source for OpenAI losing money on their $200/mo sub: https://fortune.com/2025/01/07/sam-altman-openai-chatgpt-pro...

Unfortunately the AI bubble seems to be predicated on just improving LLMs and really really hoping that they'll magically turn into even weakly general AIs (or even AGIs like the worst Kool-aid drinkers claim they will), so everybody is throwing absolutely bonkers amounts of money at incremental improvements to existing architectures, instead of doing the hard thing and trying to come up with better architectures.

I doubt static networks like LLMs (or practically all other neural networks that are currently in use) will ever be candidates for general AI. All they can do is react to external input, they don't have any sort of an "inner life" outside of that, ie. the network isn't active except when you throw input at it. They literally can't even learn, and (re)training them takes ridiculous amounts of money and compute.

I'd wager that for producing an actual AGI, spiking neural networks or something similar to them would be what you'd want to lean in to, maybe with some kind of neuroplasticity-like mechanism. Spiking networks already exist and they can do some pretty cool stuff, but nowhere near what LLMs can do right now (even if they do do it kinda badly). Currently they're harder to train than more traditional static NNs because they're not differentiable so you can't do backpropagation, and they're still relatively new so there's a lot of open questions about eg. the uses and benefits of different neural models and such.

Well, not that they don't do stupid things all the time, but having credits live on a system with a weak consistency model would be silly.

This may come as a surprise to you, but us humans need entertainment

Now there's an idea for an esoteric language.