dbmnt

It is not, played over time, a losing game. Just look at the lifetime graph of any major index.

If you just buy and hold, and don't panic sell during a recession, you'll win.

Will other more sophisticated players make money exploiting short-term swings? Sure. Will other players beat your returns? Also yes.

But that money isn't coming out of your pocket, so why does it matter? You're still beating leaving your money in a savings account, where inflation is outpacing interest.

I disagree. I've tried Codex, and two of the provider-agnostic harnesses (Pi and OMP), and I strongly prefer Claude Code.

> The pattern seems to be that it makes people more productive when you measure it in terms of raw work product volume. But not all work product is equally valuable.

This is a good point. I can code with Claude Code at 10x or maybe 100x, but have very little in the way of design, sales or marketing skills, and thus, I've been unable to make much side-hustle money from my new superpowers.

Meanwhile at my boring day job, my productivity is gated by a frustrating variety of coworkers and embedded processes, none of which seem to operate at 10x, to put it politely.

The only counter-point here is, I think a lot of larger orgs operated like this before AI. Pointless meetings, a lot of people only really working a few hours a week. It's the classic Office Space portrayal. Or Big Head at Hooli just hanging out on the roof in Silicon Valley. It's real. So I understand the temptation to say "this can't last", but yet...

"throughput is limited by my approval"

This is exactly where I'm at with AI. (Mostly via Claude Code, but I'm not sure the harness, or my workflow in particular, is the important part.)

I am increasingly wondering though, is there really a valid reason to keep blocking on my approval? Most of the time, I wind up saying yes anyway, because the model has a valid, efficient solution.

What if it's faster at this point to just fix the mistakes?

Scary thought, but it seems like we're close, or already there.

As misguided and misinformed as some of it may be, the "anti AI" and "no more datacenters" pushback in the US is actually working to some extent. Multiple states and locales have issued construction/permit moratoriums already. If you think it's a threat, help slow it down.

Another reason is hardware fragmentation. An Android developer has to account for over 20,000 unique devices, compared to an Apple developer targeting around 40 supported models at most.

Apple has a very different business model than Google (Alphabet). It's not even close to the same in terms of how they make most of their money.

No, because the GU in GUID stands for globally unique. Adding it to a second image would cause a detectable collision.

Also, C2PA, another technology mentioned in the article, means tampering is easily detected.

I'm so jaded that my first thought was "oh no, the AI is going to learn terrible customer service."

I hate what corporate IT has become. Hate.

OMG I didn't know about this. It works! Hover over the speaker icon and adjust with the mouse wheel.

Sounds interesting. Tailscale without handing off key management?