Feels like there should be a way to compile skills and readme’s and even code files into concise maps and descriptions optimized for LLMs. They only recompile if timestamps are modified.

OpenAI / Gpt should do the opposite. Let the people use their subscription on openclaw and break down which tasks are efficient vs inefficient. Help openclaw learn to be efficient.

super dope. now make it infinite scroll and put ads all over the place! /s

Why can’t we bomb the missile bunkers that guard the strait?

I think both missiles and drones can launch from trucks.

This is great for consumers. More options leads to more choices means more competition means lower prices. Which group is it bad for?

The ones who recognize standards as a good thing. ARM making their own CPUs shifts their focus from making a good ISA for people to use to making a good ISA to use in their own CPUs.

Oooof another one. I think i will lock my deps to versions at least 3 months old.

The arm family of chips (apple A series, m series, and qcom snapdragon) are better on energy usage (thus battery life) and performance and design compared to many x86 style chips (intel, amd).

Time will tell if ARMs owncpu is on par or better than Apple’s ARM based chips

The perfect kid or mom device for news, homework and entertainment.

I would love to have a use case to learn and write rust today. But i am deep in node and go services for my employer. Previously wrote java and c#. What are people writing in rust today?

I use Rust for command line applications.

I find that CLI is a great way to model problems. When I find myself doing something that has graduated beyond a comfortable amount of PowerShell, Rust is there for me.

I have a template I've been evolving so it's super easy to get started with something new; I just copy the template and slam Copilot with some rough ideas on what I want and it works out.

https://github.com/teamdman/teamy-rust-cli

Just today used it to replace a GitHub stats readme svg generator thing that someone else made that was no longer working properly.

https://github.com/TeamDman/teamy-github-readme-stats

Decomposes the problem very nicely into incrementally achievable steps

1. `fetch <username>` to get info from github into a cache location 2. `generate <username> <output.svg>` to load stats and write an svg 3. `serve` to run a webserver to accept GET requests containing the username to do the above

Means that my stuff always has `--help` and `--version` behaviours too

I'm working on a multisig sign-off solution, with the first use case being file downloads like GitHub releases authentication: https://github.com/asfaload/asfaload

I'm coming from F# and find rust a good compromise: great type safety (though I prefer the F# language) with an even better ecosystem. It can also generate decently sized statically compiled executables, useful for CLI tools, and the library code I wrote should be available to mobile apps (to be developed).

I'm having fun using it to make websites. Rust→WASM works really well. Definitely a very enjoyable way to make web apps. I've been trying to think how I can contribute to the ecosystem, seeing as I enjoy it so much. Rust gives you a control over memory that is impossible to replicate in javascript, and which allows much more performant code

> What are people writing in rust today?

Rewriting existing code for karma points and GitHub stars. Plus some minority actually trying to build something new.

Whatever I used to use Node for, like web servers, I now use Rust. It's pretty nice, with a strong OCaml-like type system which I've used before (better than TypeScript even in some cases), plus it's much faster and more memory efficient such that I can run way more services on my 5 dollar Hetzner box with Dokploy compared to Node or Java or C#.

We built Feldera's engine in Rust: https://github.com/feldera/feldera

you can buy ads on instagram, fb, tiktok, reddit, youtube, amazon, apple iOS apps, the M$ windows start menu (apparently), and soon OpenAI (gemini gotta be following right)!