Too late

https://en.wikipedia.org/wiki/Kessler_syndrome

https://en.wikipedia.org/wiki/Batman_vs._Teenage_Mutant_Ninj...

”This is not the claim. The claim is that, empirically, many (or enough) of the men who end up in construction jobs are underage, trafficked, or psychologically coerced (due to poverty, drug addiction, abuse, etc) such that the choice is not really the free choice of willing participant.

I am all for individual freedoms, but I've read enough about this issue, and seen enough documentaries, that I think the claim is very well-founded. Of course, some construction workers are just willing adults doing something they want to do, but there are many who are not.

You could replace construction with mining or fishing or factory work. It’s pretty clear to me that outlawing fishing jobs isn’t going to solve the problem of forced labor.

> I ask questions to confirm things

Oh my.

As someone who reads the code, I can tell you, asking questions to confirm things is inadequate. The models lie to me, daily.

Every day I have two experiences:

1. I’m blown away by what it can do

2. I say, ”wait, you said this, but the code shows that, so you were just going to leave that endpoint without requiring any authentication??” and I get the “you’re absolutely right, that was my mistake, and you’re right to call it out” song and dance. Daily.

It also adds all kinds of bloat to code, tests, and “documentation”. I’d say I spend ~30% of my dev time picking lines of code or documentation and asking, “why does this exist?” and “what would break if we deleted this line?” and then arguing with it and removing things.

But the NVIDIA dGPU is muxless, so apparently all of the display outputs (laptop screen, HDMI outputs) are effectively hard wired to the iGPU. dGPU can render in a VM, it just has no where it can send it without trying to use Looking Glass or similar approach.

- neovim

- in VS Code [1]

- in the browser

Cloud VM runs the built-in `code serve-web` command, over Tailscale using `tailscale serve`. No SSH. Extensions work. No extensions run locally (with SSH some extensions have to run locally on your machine).

I’m trying to see how little I can run on my local machine. VS Code over SSH is a good step in that direction, but there’s more attack surface if SSH is misconfigured, plus risk of an extension getting compromised.

I expected the added layers (neovim, through an extension, inside VS Code, over the web) to be slow, but so far it works surprisingly well.

[1] https://github.com/vscode-neovim/vscode-neovim

Why include node here?

TLA or TLA+?

Ah, so it’s ”No Silver Bullet” (1986) [1] all over again.

Thinking out loud here...

AI mainly helps reduce accidental complexity. It can help one understand essential complexity, but essential complexity must still be paid.

You describe doing the essential, irreducible part. And that’s specific to your needs, depends on the problem you’ve chosen, understanding reality of your domain, evaluating tradeoffs, and being accountable for the outcome.

Right?

[1] https://cekrem.github.io/posts/there-is-still-no-silver-bull...

Also extra effort to use it. This is why we have the “how do I exit vim?” meme.

A good user interface needs escape hatches so users can keep their head above water while they learn to swim.

Most of what people want when they say keyboard-driven is closer to a cockpit (requires expert knowledge) than a general purpose UI.

You drastically underestimate how bad most systems are. All of the vendors in your examples have good APIs. Those vendors already did the hard part.

All of the systems we need solutions for are moving targets that are breaking constantly. You can’t model those in 30 minutes because the ways in which they break don’t show up until months later.

Unfortunately it’s mostly not up to you. It’s a weakest-link problem. It doesn’t matter if you don’t use a note taker AI, if even one person on the call uses one. Their tool doesn’t notify you and usually the person doesn’t either.

It also has the reverse impact to the person using the note taker, where people say less around them. Same as if I'm talking to someone with Meta glasses.

I wonder if the people who use these tools know the people they meet with speak less during their meetings, and then all of the participants have a post-meeting call without them to say what they really thought.

It’s not obviously true. A higher number of attempts, a larger talent pool, typically doesn’t change the average much (or it might even make the average go down), but tends to produce higher peak outcomes.

We see this everywhere (science, startups, sports, chess, etc).

If you want the best spreadsheet, game, or whatever app you want, you’re only interested in the few highest peaks.

So you do actually get better signal to noise with a larger wasteland of discarded attempts. The higher peaks make it easier to filter out the noise.

The goal you’re intrinsically motivated by seems different than this. That seems to be the whole disagreement.

It might solve much of existing crime, but that’s not the same as a net reduction in crime.

Bribery, blackmail, and coercion would just fill the crime vacuum.

No. Agents run in VMs. Assume anywhere you’re running an agent will be compromised, because eventually, it will be.

The only reason most people haven’t is luck, they didn’t happen to install Axios or Tanstack at a certain time.