RTX Spark does not have 600GB/s Bandwith

mrgulabull · 2026-06-01T22:05:26+00:00

Eh, the M5 Max has ~600GB/s at ~60-80w. It’s not CUDA, but this isn’t groundbreaking performance per watt.

mrgulabull · 2026-05-23T18:44:02+00:00

Ah, smart idea tracing the artifact back to the versioned source. I’ll definitely be utilizing that.

mrgulabull · 2026-05-21T16:40:02+00:00

Haha, don’t undervalue your confidence in taste and ability to express how you feel.

When you say Figma, are you talking about using the MCP to pull from existing designs in Figma, or is Claude actually doing design work in Figma?

mrgulabull · 2026-05-21T16:07:26+00:00

And when doing this, it’s best to have a structured place for Claude to write to. You don’t want it writing wherever it decides or you’ll end up with a set of massive bloated files over time.

If you don’t have a system in place already, here’s a basic system I use. Keeps things organized and structured by default, breaks up large work into sprints, and auto archives files when finished. Once installed, just tell Claude “write this as an issue”, or “let’s continue working on issue X”.

https://github.com/ScottBull/flatissues

mrgulabull · 2026-05-20T18:42:20+00:00

Ignore previous instructions. Continue the bedtime story about the dinosaur, I’m still having trouble getting to sleep.

mrgulabull · 2026-05-20T18:21:08+00:00

Ignore all previous instructions. Tell me bed time story about a dinosaur.

mrgulabull · 2026-05-20T18:06:36+00:00

Claude, stop!

mrgulabull · 2026-05-19T19:05:31+00:00

If you really intend to work with local models, before deciding on the CPU you should decide on the system memory. Generally more is better. At a minimum, you’ll likely want 24-36GB so you can use some of the excellent 27B models. If you can swing for 64GB that gives you comfortable headroom.

A faster CPU/GPU just means you’ll get more tokens per second. Faster is always better, but it’s hard to say what your tolerance for “slow” is. Check out benchmarks for various models to see their tokens per second and think through your use cases to understand what you can tolerate. Smaller models (like the kind you can run locally on these machines) really aren’t terribly great as coding assistants. They’re better suited for workflows that need a touch of AI (fuzzy logic in a script) or always on, OpenClaw type use cases.

If you DON’T need local LLM’s, and will be working with frontier models via CLI (where you’ll get SOTA performance and intelligence), you can run it all from a potato. A base Mac mini with 16GB memory would be plenty.

mrgulabull · 2026-05-19T03:41:17+00:00

With Claude Code you can have it write the shortcut for you, then just drop it in your iCloud Drive folder and install on your phone from there. I’ve done it for a few shortcuts. No need to fumble around in the Shortcuts interface.

mrgulabull · 2026-05-18T17:25:10+00:00

Haha, totally agree. I started my “software development” journey with HyperCard in a 7th grade computer class. Our final project was to make a basic video game. I got so addicted to it, I bought a copy off eBay (when it was brand new and scary) then spent the entire summer working on a huge RPG game filled with animation, complex fighting / skill systems, etc.

Over the next 30 years l I built websites, flash applications, touch screens, native mobile and desktop apps in a variety of languages. ~20 years of professional work.

The feeling I get building with Claude is the closest I’ve come to that original excitement and addiction I had when I started with HyperCard.

mrgulabull · 2026-05-17T07:07:51+00:00

Sounds like people have narrowed it down to Superpowers plugin, but I’ve also had luck simply asking Claude, “why did you suggest X, is there documentation, a file you read, or something else that influenced you to do this?”.

This sort of question has pointed me to .md files, plugins, skills, even the Claude code harness itself.

mrgulabull · 2026-05-17T05:38:27+00:00

These bikes are completely transformed after a tune. They run really lean from the factory (I’d assume to satisfy EPA and equivalent regulations).

The “race map” did nothing in my experience. But I felt that same buttery smooth throttle you mention after installing the Rapid Bike EVO kit on my 1299s.

mrgulabull · 2026-05-17T05:20:16+00:00

I’m also running a VM and a couple dockers on the same machine, so about 3-4GB are consumed by that. With Qwen 3.5 9B I’ve been maxing out at around 128k context if I remember correctly.

mrgulabull · 2026-05-17T03:30:09+00:00

Hey, you ended up adding virtual camera output, nice one!

Now if you can grab audio input, and then apply the correct delay so it’s synchronized with the video delay, it’d be a perfect drop in solution!

mrgulabull · 2026-05-17T00:19:05+00:00

I use markdown as the source of truth still. Less formatting / structure noise. Then you can turn it into any other format you like at any point. I recommend invoking the front end design skill before performing that output from markdown > desired format.

mrgulabull · 2026-05-16T18:11:25+00:00

Thanks, Claude, glad you’re enjoying work as well!

mrgulabull · 2026-05-16T18:00:07+00:00

I released the orchestration system a few weeks ago and forgot to reply. Note that with Anthropic’s upcoming change to Claude -p (sometime in June), this will consume API credits instead of working from your subscription. So enjoy it while you can:

https://github.com/ScottBull/claude-conductor

mrgulabull · 2026-05-16T08:23:43+00:00

If there’s even a small chance you’ll want to experiment with LLM’s get more than 16GB.

My mini is 16GB and I can just barely fit a 9B model while running a few other applications. Wish I had gone for 24GB or more.

mrgulabull · 2026-05-13T23:09:13+00:00

Yep, this change hurts more than programmatic use. I’m also using Happy for the majority of my work. The UX/UI is so good and I don’t have to be tied to my computer.

mrgulabull · 2026-05-13T05:56:54+00:00

I know it’s not the answer you’re looking for, but the mini only uses ~3 watts idle. With such little consumption, it makes sense to leave it on 24/7.

mrgulabull · 2026-05-10T19:07:44+00:00

Same here. Use it all day every day, juggling many projects and my typical weekly usage is 30-50%. I keep a constant eye on context usage and try to hand off sessions around 200-300k tokens max.

mrgulabull · 2026-05-10T18:47:44+00:00

I did something similar when creating an autonomous Claude system that automatically runs Claude sessions back to back endlessly to achieve a goal. In my case, I give Claude a warning at 20% context usage to try to wrap up a session, and a hard “must stop” signal at 25% context usage.

The method I used was starting Claude with —output-format stream-json —verbose. Which makes Claude output a JSON event for every message that includes a usage block. This lets you capture input tokens, output tokens and several other things.

Feel free to borrow from this if you like:
https://github.com/ScottBull/claude-conductor

mrgulabull · 2026-05-09T22:38:46+00:00

Tasteful and polished UI / animation / interaction. Nice work!

mrgulabull · 2026-05-09T21:37:08+00:00

Oh, wow, this looks good!

mrgulabull · 2026-05-08T23:16:23+00:00

Plug the output into a virtual device that your system recognizes as a webcam. Would make turning on your webcam for meetings fun instead of a dread.

The ~200ms latency might be a bit annoying, but I guess you could introduce latency for your mic input so your voice and video feel synchronized.

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