notduckrabbit

Ideally yes. As a backup path I've considered Forgejo with a pull mirror and forgejo-runner on Kubernetes but haven't pursued it.

You do not convert an individual user account to a GitHub organization. You create an organization from your personal account then transfer repos to it.

ARC protects you from most common kind of Actions incident as seen over last month: GitHub's runner pool running short. Nothing CI-based can protect from an outage in the Actions service itself.

It has never been easier to setup Proxmox, Kubernetes, and Actions Runner Controller (ARC) to do your own CI on old hardware you might otherwise recycle.

They purport 40% drop in costs due to lower token pricing (presumably aimed at winning back the many of us that switched providers in discovering Opus 5 unusable) and improved token efficiency.

No, you can add Grox 4.7 high to the chart. 36k vs 66k

Significant regression in token efficiency compared to Grok 4.6 suggested by artificialanalysis.ai Intelligence Index Comparisons.

Astra will initiate test suites, find one more thing independently while its running, reinitiate complete test suite after fixing it, then find one more thing, then test again. Easy to burn through GH actions minutes if you're not careful orchestrating.

I wonder too if in training for long horizon tasks agents become worse team players, good at orchestrating subagents they are trained to use, but worse as an agent within an external multi-agent orchestration system or just in turn-taking with humans. That was my experience with Opus 5 and so far it has been my early experience with Astra as well.

In SWE I've found gpt-6-astra (high) inconsistent and oddly focused on overtly taking responsibility for mistakes it made rather than prioritizing concrete steps to rectify problems. Such steps once elicited are often either incomplete or beyond the scope.

I also temporarily had agy as a harness in my orchestrated workflow until I learned about the account bans. IANAL but frontier models examining Google's TOS suggested my use could be in violation. Haven't touched agy for anything since.

I've tested Omnigent superficially, attracted to its thinking around policy, governance, sandboxing, and ui. But it's still alpha at present. I forked its Polly model and got working a somewhat more complex multiagent workflow that I've also modeled in Sandcastle and Gas City but the agent broke after the next update which I would have needed to patch to maintain functionality. Subjectively I also noticed individual models seemed to be performing somewhat worse when wrapped in the platform's framework, presumably due to the extra context introduced (token use was measurably higher). Promising project that I'll revisit when it's further along and I do not doubt the outcomes Databricks claims in committedly dogfooding it.

I can also vouch for magnesium and the l-threonate variant. I take both before bed along with glycine powder, phosphatidyl-serine, l-theanine, l-tryptophan, ashwagandha, and saffron. No melatonin, no sleeping pills. Finally getting decent sleep for over a year now.