If you don't follow anemll, they also have a usable version of OpenClaw running on iPhone.

With hardware and model improvements, the future is bright.

This is really promising. Are they now going to scale this up to hundreds of billions of parameters? Why stop at 1.5B if they found a potentially SOTA architecture?

Probably constrained by training resources. It's much easier to experiment with a smaller architecture. You may need many training runs to figure out hyperparameters for example. If each run needs multiple GPUs for a week the cost adds up quickly. I think it makes a lot of sense to start small.

This just happened up north, apparently the largest proposed AI data center in Canada (Synapse's $10B 1GW campus in Olds, Alberta) was just put on pause after the Utilities Commission rejected its power application on March 6, 2026 due to noise pollution concerns from 20 gas turbines, 10 steam generators, and up to 600 diesel backups near 800 homes (just 200m away). The assessments failed to model cumulative worst-case noise. The proposal will be revised and resubmitted of course but the concern isn't going to go away.

Seriously, why do they have to build a DC 200m from homes? Is Alberta out of space?

I recently set up Hammerspoon to surveil my own computer usage actions (active tab/window, typing state, scrolling) to have a next-action predictor. It shows the predicted next action at the top of the screen but I was thinking of using it to improve voice command accuracy.

What I think would actually be useful is a version of what was implemented on /r/ClaudAI which is an official bot which summarizes the discussion (and updates after x number of comments have been added). I think this level of synthesis has a compounding effect on discussion quality and pruning redundant arguments/topics.

Example: https://www.reddit.com/r/ClaudeAI/s/BJKLxzJA16

I don't spend much time on that subreddit, but I've seen that bot on a couple posts I've read and have been pleasantly surprised by how useful it seemed. I may eat my words on this later, but to me this is exactly the kind of application of AI that I have always thought was the most promising.

I came to the same conclusion from first principles. Whether AI or not, it's useful to have a third party facilitator identify and compress the key topics of a conversation to help experts navigate the crystallization of new knowledge

Just read the posts instead of an AI slop summary

My favorite:

"And honestly? That's rare"

Wait for the alleged touchscreen MacBooks to drop, possibly this week

wait .. what ... for real? Take my money Apple.

If it's using ONNX, can this be ported to Transformers.js?

Do you have an alias or something so that every time you open CC, tmux is running?

How do you deal with multiple concurrent sessions of CC with this setup?

How important is mosh? I wasn't able to get it set up the last time I tried... ran into a bunch of issues.

I always setup my terminals to open a tmux session by default (or attach to any existing one). For example, in my ~/.config/alacritty/alacritty.toml:

    [terminal.shell]
    args = ["-l", "-c", "tmux attach || tmux"]
    program = "/opt/homebrew/bin/zsh"

tmux supports tabs so you can have multiple Claude Code sessions running concurrently. You do need to learn a few tmux keyboard shortcuts to use it effectively (e.g. opening/closing/switching tab).

Sorry didn't answer "how important is mosh?"

Depends- how good is your signal? Mosh has a great property that it buffers everything locally so there's no lag even if your connection sucks.

On ssh, every keystroke is a roundtrip

"tmux ls" shows you all the open tmux sessions

Could even use cc to check in on and/or "send-keys"

What wasn't working about mosh? Just install mosh and use mosh to connect

I recommend Eternal Terminal instead of mosh for this.

There's two kinds of sociopaths, the uncontrollable ones and the controllable ones. The CIA only wants the latter.