Now how am I supposed to get this to my desk without either spilling it all over or burning my lips trying to slurp it here. I've been drinking coffee for at least 25 years and I still do this to myself at least 3 times a week.

A kludge or kluge is a workaround or makeshift solution that is clumsy, inelegant, inefficient, difficult to extend, and hard to maintain. Its only benefit is that it rapidly solves an important problem using available resources.

Olisi hyödyllistä tietoa seuraavia vaaleja ajatellen.

Ihmetyttää kyllä myös miten vähän tästä on Yle ainakaan mitään uutisoinut. Tuntuu melkein tarkoitukselliselta salamyhkäisyydeltä.

I figured I’d give this chisel knife a try, since it’s not like I use this particular knife for its intended purpose anyway but rather as a general purpose sharpish piece of steel. I’m already carrying a folding knife and a Leatherman, so I don’t need a third knife with a pointy tip.

I see a huge amount of confusion around terminology in discussions about Artificial Intelligence, so here’s my quick attempt to clear some of it up.

Artificial Intelligence is the broadest possible category. It includes everything from the chess opponent on the Atari to hypothetical superintelligent systems piloting spaceships in sci-fi. Both are forms of artificial intelligence - but drastically different.

That chess engine is an example of narrow AI: it may even be superhuman at chess, but it can’t do anything else. In contrast, the sci-fi systems like HAL 9000, JARVIS, Ava, Mother, Samantha, Skynet, or GERTY are imagined as generally intelligent - that is, capable of performing a wide range of cognitive tasks across domains. This is called Artificial General Intelligence (AGI).

One common misconception I keep running into is the claim that Large Language Models (LLMs) like ChatGPT are “not AI” or “not intelligent.” That’s simply false. The issue here is mostly about mismatched expectations. LLMs are not generally intelligent - but they are a form of narrow AI. They’re trained to do one thing very well: generate natural-sounding text based on patterns in language. And they do that with remarkable fluency.

What they’re not designed to do is give factual answers. That it often seems like they do is a side effect - a reflection of how much factual information was present in their training data. But fundamentally, they’re not knowledge databases - they’re statistical pattern machines trained to continue a given prompt with plausible text.

I was delivering an order for a customer and saw some guy messing with the bikes on a bike rack using a screwdriver. Then another guy showed up, so the first one stopped, slipped the screwdriver into his pocket, and started smoking a cigarette like nothing was going on. I was debating whether to report it or not - but then I noticed his jacket said "Russia" in big letters on the back, and that settled it for me.

That was only the second time in my life I’ve called the emergency number.