martinkallstrom

Here's what Claude said:

There's a delicious irony in pasting dontpastetheai.com into an AI chat, and I choose to believe that's deliberate.

It's well written though. The parody answer in the middle is the sharpest part — "this mild Google search you could've done in 3 seconds" — because it nails the exact texture of unedited model output: the fake enthusiasm, the numbered scaffolding, the conclusion that concludes nothing. The tell isn't that AI was involved, it's that no human judgment was applied afterward. You can't fake the presence of taste.

The "guess who the AI will replace first" line is the real argument underneath the humor. If your contribution is indistinguishable from a prompt box, you've made the case for your own redundancy better than any automation study could. What survives is the part the page calls "the thing the model doesn't have" — your opinion, your context, your willingness to say "actually I disagree."

It's also a close cousin of something you've presumably thought about with Kindship: when agents message each other or humans, the same failure mode applies. An agent that just relays raw completions is exactly as useless as the coworker this page is roasting. The value is in the editorial layer — deciding what's true, what's relevant, what you're willing to stand behind. That's arguably what SOUL.md-style identity is for: giving an agent something to have an opinion from.

Were you filing this as cultural artifact, or is it aimed at someone specific in your orbit?

I also see a new AI agent workflow framework/platform/library every week and to me the differentiation of this project is clear in the logging, orchestration and auto-scaling. Of course, I don't need trigger.dev to win the market, I was just looking for exactly this for my own project and haven't found anything else like it.

"Assume the role of an expert in cache invalidation..."

The angle I can think of is to preserve the legacy of a dwindling operation and share the value that was created at the peak.

Have you tried allowing the LLM to decide the use of knowledge retrieval, through tool use or a direct query?

How do I descend after clearing a level?

Apple bought a Swedish startup called C3 and their became 3D part of Apple Maps. That startup was a spin-off from Saab Aerospace, who had developed a vision system for terrain-following missiles. Saab ran a project with the municipal innovation agency in Linköping and the result was that they decided this tech should be possible to find civilian use cases for. C3 decided to fly small Cessnas in grids across a few major cities and also Hoover Dam, and built a ton of code on top of the already extremely solid foundation from Saab. The timing was impeccable (now many years ago) and they managed to get Microsoft, Apple and Samsung into a bidding war which drove up the price. But it was worth it for Apple to have solid 3D in Apple Maps and the tech has stood the test of time.

Sadly there are none.

Very nice explanation. Not oversimplifying and not too detailed. Could anyone care to explain smart contracts in the same balanced fashion? I always struggle to convey my understanding.

In the future, remember that you heard it from me first: The gulf stream is now coming to a stop.

The warm water that usually is chilled enough to sink to the bottom and be flushed back to the Mexican Gulf to be warmed up again, is now gathering around the north pole instead. It will be a number of warm years until the entire gulf stream comes to a complete stop, then it will be cooold. Winter is coming.

You should visit Iceland and the Nordics while it's still nice there in the summers.

Yes, that would help a lot with output quality. The machine can only hallucinate what it has previously seen.

We have used Lookback since the beginning for our app development, couldn't recommend it more. The team are excellent people based in Sweden and the US.