Entries for August 18, 2026

Before someone says it, I know github.com/earendil-works… exists. But it doesn't give me a CLI I can just run

A pi-based alternative to codex review, for your auto-review loops It is like codex review, but it works with all the models that pi supports, including gpt 5.6 github.com/osolmaz/pi-rev…

It seems my tweet ragebaited some unintentionally (best kind of ragebait, with plausible deniability) My point here was that, you would be sending a compressed version of human knowledge back in time Having compressed such high intelligence per parameter, Qwen 3.8 27b can be mined for a lot more knowledge than a 20gb fraction of Wikipedia Here is how that would have worked

POV: You've automated monitoring your agents I did a lot of quality-of-life improvements to osolmaz/pi-workflows. The pi widget now only shows a compressed list instead of the full graph If you use herdr, you can still open the graph viewer in a side pane with Ctrl+Shift+R. Your pi extensions can be herdr aware too! This means pi-workflows is also a @herdrdev plugin now, alongside @pidotdev Monitor is currently my most used workflow. Let's the model submit any long-running task progress and calculate ETA automatically Just say "monitor every 30 minutes and resolve any issues autonomously", or even just "monitor". The shipped monitor skill teaches the model how to run this Repo:

before anyone thinks anything, I am using codex's remote compaction in pi btw

Qwen 3.8 27b weights are probably the most civilization-changing 20gb of data published, until now Imagine sending those 20gbs back in time, to 2006

The only reason I'm using Sol at this point is that it's subsidized and fast tbh

How insane is tailscale/wireguard Discord is blocked in turkey, so I just set my spark as an exit node. And I can use it as VPN without any further config

People are going nuts over qwen 3.8 27b and it's justified I'm personally waiting for qwen3.8-35b-a3b. When released, it will be the best model to run openclaw on the dgx spark