What do they invest in?

Good riddance. I love giving the middle finger to the empty warehouse with the shadow of an Amazon ensign when I drive past it.

Dead eyes

I’m using PayloadCMS now. It’s fauxpensource, but eh, so is WordPress in a lot of areas.

It violates it

They can disable it based on geolocation, or like others said, put the onus on the user to know best.

How many times has Strava leaked secret military base coordinates?

Not every country or country subdivision has two party consent. Canada is a one party consent legislation.

Poisoned “unsubscribe” link? Ohhh that’s evil

Happy 9/11!

I was gonna ask, “what kind of AI”

We really need to stop using the catch-all term AI, because it’s designed to let OpenAI and Anthropic take credit for everything ML and NN-related, and then even some.

24 GB VRAM. Damn, jealous! My 16 GB seems pitiful in comparison 😅

I do wonder if the Ryzen AI CPUs compare with Apple’s UMA. I’m mostly interested in LLM inference for code generation and automation.

You’re right, they’re not watertight. But I’m not trying to defend against MPI, just hallucinations. Never looked into Nix flakes, I always just used OCIs.

I actually did exactly that previously! I had both an RX 6800 XT and an RX 6600 in my system and I used the 6600 for video output. Unfortunately, this cuts my RX 6800 XT from PCIe 4 16x to PCIe 4 8x and severely slows down model loading for llama-swap. Joys of the X570!

And yes, I do have it running right now with a bit of occupied VRAM, but I need to limit my model to 14 GB to leave 2 GB free for GNOME Shell. I really want one of those 64 GB UMA Mac Mini, I heard they work really well because the GPU has direct access to system RAM.

Cheers, I’ll give this a try!

Regarding containerization, familiarize yourself with Dev Containers, they’re super useful for limiting agents to your codebase, with the added bonus that any project you work on comes out of the box with the right version of the tools you need.

It does!

Alarm: beeps

Push

Alarm: “I’m sorry Dave, I’m afraid I can’t do that”

…

Alarm: keeps beeping

No onboard graphics unfortunately, that would have been the easy way out.

How has tool use been for you? I struggled a lot with tool use with Gemma and Qwen, to the point where I needed to build a healing layer.

Regarding the coding harness, I was looking for something CLI-based or JetBrains-based, and I haven’t had much luck getting my local llama.cpp models playing ball with OpenCode. They keep losing context and misusing tools.

I’m not too familiar with Apple containers as I’m running a full Linux stack, but I’ll give Pi a try, seems interesting! Does it work for coding tasks or is it strictly an “orchestrator”?

Correct, that’s how I would do it, but then I need another machine to act as a head.