chocrates

The article states that it grows on driftwood so it is buoyant and mentions it is not that rare (not explicitly but it talks about it happening before)

Why use mac at all? If you want a docked machine you can build a PC with the exact specs you want. Throw a Linux distro on it and you will have a similar experience

Don't tell me psychiatrist but I take my addon Ritalin at night so I can play games or read a book. I just can't do it without it

Plant intelligence is so amazing. There is no evidence for it but I like to imagine trees are a huge mass of neural tissue that is existing and possibly thinking.

You can buy some on the market now, technically they are coil guns I think.

Problem is the muzzle velocity is pretty paltry right now. I think we are stuck behind the energy density of the power source

Any idea how adding a flywheel to the system would change it? Could we store more energy in the arm?

GitHub uptime is cyclical. It's bad because they won't focus on the core, and then the right users complain and GitHub focuses on core again before it repeats. This is just the latest round exacerbated by vibe coding

I like function names like that. If your function name is obnoxiously long then you might be doing too much in your function.

I'm a bad programmer though and nothing I do is particularly important enough to optimize.

It feels more like a fork scraping a sunburn for me, than repeatedly stabbed with a needle

Practically I would need to wait for hugging face models to adopt this? My harness tokenizer is just an estimate since the model tokenizes on my api calls?

Why do we need these? I have sunshine streaming headless to my laptop without issues

I try every couple years. I even got myself to relearn the first part of calculus once.

Of course I've never used it and it's gone again

Have you looked at gitlab lately? They have a ton of ai features built in.

I'm not a gitlab user, just learning it, so I can't say how half baked they are or not.

At a high level though it seems like a huge step forward than GitHub

My engineers write better code when we enforce types.

It's easier to do this then retrain everyone on Go and rewrite all our code.

New stuff is often in Go now, but prototyping quickly in Python and then enforcing types when we have to get it ready for production has been working decently

A reverse funnel

Weren't we promised that quantum dead reckoning was right around the corner?

Asking it why it did something will not get you usable data. It will read what it did in the context and hallucinate a reason.

Porque no los dos?

Liquid seems like a better approach from an engineering standpoint because it is non compressible. But then I imagine dealing with liquid is more of a pain than air.

Someone said GitHub is racing to the mythical "zero nines of availability" and I love it

Tl;Dr blame Gatorade marketing.

The book "waterlogged" does a good takedown of the myth. Basically only you need to drink when you are thirsty.

Americans don't eat vegetables though

On a task by task basis the code Claude generates is pretty good these days. The biggest issue I see is that it wants to rearchitect the code constantly and I have no faith in my tests anymore because Claude will just "fix" them

Heh nice, I have 4 openmanet nodes on HaLow right now

Assuming you mean mesh in general: Meshtastic like projects

- emergency communication

- low power data transfer for sensors

- low data rate data transfer for mobile groups. Air softers use it to transmit information to each other while playing.

HaLow:

- "high" data rate over shorter range, though much higher range than 2.4 wifi - data sharing between mobile groups like above, but high enough bandwidth for low quality video

- large area wifi deployments

Is there a better designed mesh project like those two getting built that you know of? Reticulum?