ZeroCool2u

I had a similar thought too looking at that photo and then I realized that personally, the only computer I've ever used out 'in the field' for extended durations was a MBP when I was working on an autonomous drone project senior year of undergrad.

It was November/December in Iowa, so it was freezing and the local R/C club airfield was nestled between an ocean of corn fields and the city dump, so it smelled terrible.

But that 16" MBP was red hot from Android Studio and kept my fingers from freezing, so credit where credit is due. Really fun project too!

It's an OpenAI Dot/Open Claw competitor. Doesn't really seem to differentiate itself meaningfully at first glance.

If I want a persistent agent, I'm still not sure why I'd pick one where I'm locked into a specific model family. Having it "just work" is nice! But this feels like a product area where not being locked into one garden is more important and the net gains are greater.

No audio passthrough is obviously a huge miss and price isn't great either, but 60 Hz is super disappointing too. My Steam Machine is doing 120 Hz at 4K and it's great.

It's really a bummer that Dart gets a bad rap, because of its early versions. The recent versions of Dart are a lovely language to work with. Pub is the only package manager I've used that approaches Cargo in quality.

This just feels like an ad for Anthropic Interviewer.

This is handy, but I wonder how much it will cannibalize their services. I have a simple app deployed on cloudflare for a very niche single purpose use, but I wouldn't have bothered if I had this. Serving it from my own machine would have been fine.

Anything specific to watch out for?

You can pick up a Valve Index if you want to do this, which is a fantastic device, but I think the reality is that the market for the wired to a desktop head set just isn't there to support the product.

I'd be interested in using this with something like the new HuggingFace robots. Do you have demos showing how to go from HFlow dataset to training to deploy?

The requests packages fundamental API is good enough and is now maintained by the PSF. I don't understand why OpenAI and Anthropic don't just throw some $$$ to the PSF for focused improvements and expansion of it.

I have 5 Gbps symmetric fiber in NYC with a Google Fi data only sim as a built-in failover to 5G on my router. It did require some specialized hardware, but it's truly a wonder coming from a kid that experienced dial up.

It really changes the calculus on some things with large volumes of data on my desktop. Admittedly, my desktop maxes out at 2.5 Gbps, but everything else in the house keeps happily chugging along.

I'm shocked Teams + GitHub haven't already done something like this. But I suppose that's asking a lot from Teams.

I've been using Claude and other agents in Slack for some code tasks. It's mostly fine for simpler projects and products. Things like docs or specific libraries. But I'm not really convinced this is the ideal interface yet. Reviews are my bottleneck and GitHub has a great UI for this. Plus, token consumption with Slack is out of control.

Maybe in time this will be the way we work, but for now I still find myself using GitHub, a terminal, and slack together.

I don't disagree about distribution, but absolutely no one I know outside the tech bubble knows what Lovable is or has even heard of it.