Exploring the echoes reverberating through time left by the technology of yesterday as we embrace the technology of tomorrow.
Super Bowl week. Anthropic ships Opus 4.6 with agent teams and takes a swing at OpenAI on national TV. Mistral pushes Voxtral and closes the open-weights audio gap. Block cuts headcount nearly in half. SB 53 is officially live and the first frontier safety frameworks are in the wild.
By early 2026, open-weights models are competitive with closed frontier on most workloads I actually run. The gap that remains is real but narrower than the keynote conversation suggests, and the practical case for owning your stack got stronger, not weaker.
You're not a team of one anymore. Engineering logs aren't audit trails. Auditors want six things: who, what, when, why-allowed, what-changed-as-a-result, and signed proof of immutability. The gap between 'we have logs' and 'we have an audit trail' is wider than most teams realize.
A year after Anthropic shipped MCP, the protocol is everywhere. OpenAI's Apps SDK, GitHub Agent HQ, every major lab. Time to grade my earlier takes. Some held up. Some didn't. A few things genuinely surprised me.
Post-Davos week. The China open-weights flywheel is the most consistent shipping story in AI right now. Kimi K2.5, Qwen wired into Taobao, Tencent dropping cash for Lunar New Year. Plus Yahoo Scout on Claude, three different bets on agentic commerce, and the AI-cited layoff playbook hardening.
A practical six-rung ladder for AI agent autonomy: suggest, draft, execute-with-confirmation, execute-bounded, execute-with-rollback, execute-and-report. Each rung has different operational requirements. What promotes an agent from rung N to N+1, and what sends it back down.
NotebookLM was the consumer surface that made the team-second-brain pattern legible. The pattern itself is older and the builds that work in production are usefully different from the consumer demo. Worth pulling the thread.
Davos week. Amodei calls chip exports to China selling-nukes-to-North-Korea. Nadella warns the AI bubble is real if adoption stays inside big tech. Musk promises AGI by year-end. The labor displacement story hardens, and the pace is the part to watch.
AI is going to displace jobs, faster than I expected, slower than the doomers want you to believe. The honest conversation is about pace, incentives, where the lines are, and what human+AI collaboration actually looks like. I'd rather be wrong than caught off guard.
The four 'as code' methodologies aren't competing, they layer. IaC builds the foundation. Config-as-code parameterizes it. PaC enforces what's allowed. DaC is the surface a non-engineer reads. Walking through the layers, with concrete examples from Terraform up to the form a business owner sees.
The multi-agent demos make it look like running several agents in parallel multiplies your output. The git-worktree pattern shows the actual shape of what works, and exposes the trick the multi-agent framing is using.
OpenAI flips the switch on ChatGPT ads, the DOJ's AI Litigation Task Force stands up to challenge state laws, xAI closes a $20B Series E, and the Q1 layoff wave starts taking shape. Davos opens Monday. What I make of the week.
