a better computer-use model means more agents clicking around inside logged-in sessions for people. i'd want to know what those sessions can reach before turning it on.

i was halfway through designing a calling api for ai agents. mcp tools, direct sip to openai, cloudflare for orchestration, prepaid billing, structured results. then grok announced calling. guess i'm shelving that one.

been running mythos 5.1 for code scanning. ran claude 4.6 on the same repos. same findings. 4.6 just flagged more false positives. starting to wonder what the price gap is actually buying me

we put five 9s on a pedestal.
soon we'll normalize taking products offline to patch and upgrade, and nobody will treat downtime as a failure.
planned downtime is about to become a security feature.

dated call, oct 24 2026:
this week it was php2shell, a Brotli RCE, and a GitLab bug dating back to 2014. at least two of them were found by models.
finding bugs is no longer the bottleneck. by oct 2027 the real limit on every security team is how many changes prod can absorb in a week. 
checking back on this in a year.

Codex measures the remaining Grok measures the used Same quota, opposite math. Why are we like this 😅

It’s not a PSA 10, but it’s nice 👍

Ultra fast is said to be 7x faster… and you can see 7million tokens spent in ~3 mins

Gpt 6 (astra) sol and Luna will be coming out soon,

Kept it original for this one

Pretty cool, Which name do I pick?!

Tried out GPT Live, Here are my thoughts: I see no difference they current voice models today, if anything I found it a little slower and sluggish. I only did try the trivia function. I’ll go back in a few and try out the conversation function

OpenCode seems to have badly underestimated my Astra Pro usage. OpenRouter ended up reporting roughly 3x the cost OpenCode showed me. Has anyone else run into this? Is OpenCode miscalculating token usage/cost, or is there another reason for the gap?

My Life has become cycling through multiple codex instances.

The jump from getting a plaque for 100M tokens to treating 1B/week as baseline happened fast.

Enterprises should invest in tokens than in knowledge workers

It's mid-2026. We can drop the vibe and call it code again.