However, it's still sure as hell a lot easier to earn it as an exploitative startup than as a good one.

Although I did plan for OVH-level dedicated server prices, so as long as they don't jack up prices too I'll be fine...

I'm building an IDE for coding agents with a project management kanban board & plugin support as two of its flagship features. I think I can learn a lot from this project in its design as well as presentation.

Plugin sandboxing is an interesting tradeoff. I am planning full "video game coremod" style plugins with full access to the app and system, but it's interesting to see a WASM + sandbox approach.

More stuff done per dollar or more stuff done for more dollars? Seems to be an important distinction

I really wonder if it's possible to avoid these dynamics, even if you try really hard.

If not, it seems to me that goal alignment is the main benefit of a hypothetical lean AI company where the middle management is 1% people and 99% tokens. When most of your decision-making is not being siphoned by politics, your output scales far better with respect to input resources.

BTW for another discount opportunity, if you reload usage credits on a claude.ai plan at $1000 increments then you get a 30% discount compared to paying API.

> Your data is never stored

> Used only for your requests

> Verifiable privacy promise

Apple is cooking. Although at that point might as well bring the cloud features to more devices. Yeah it costs more but also locks users in harder.

Could result in very high efficiency and still good intelligence without having to resort to fundamental adjustments like going to a diffusion LLM

This could mean that at some point, ironically Linux becomes the most user-friendly operating system for regular people as their AIs can diagnose and fix system issues and problems for them more easily than they can with proprietary operating systems.

I am building a self-hosted tool (OpenClaw-like) to solve the same problem (running agents 24/7 and access from monile), which I think is the main alterative approach to cloud tools. I'm glad that other people have recognized the problem.

We currently use worktrees btw. We have a port allocation system that sends ports to the agent automatically, which suffices for smoke testing web projects in parallel but requires some configuration. We've also found that asking agents to find a free port works as well. There's no way to get security-relevant isolation without a containerized system, but everything else can be worked around, and IMO more easily than the setup required to make a project ready for VM/container development.

A very small share of SpaceX stock is actually publicly traded for the first 90 days after IPO. It'll become much, much larger after half a year or so, and therefore so will the amount that index funds will put into the stock.

In this case, shouldn't the impact of a passive fund going into SpaceX be small to begin with in the first 90 days anyway, compared to the long-run amount of money going into these stocks? So even if the average investor takes a loss, it should be limited in impact compared to the counterfactual where the rule change never happened.