Writing the plan for an AI-generated audit-rules project, we chose to reverse-engineer rules from years of proven production scripts rather than rebuilding a rule system from raw data and business logic.
Setting up Microsoft’s VibeVoice to test audio-to-subtitle generation and text-to-speech: the ASR side (multi-speaker SRT generation) turned out production-ready, while TTS — especially Chinese — wasn’t there yet.
An honest review after months of daily use, from when it was still called ClawdBot: genuinely useful for memory, reminders, and lightweight investing research — but with real drift and security caveats.
Setting up Claude’s Finance Analysis tool through Cowork, then having it produce a full comps-based valuation report on NVIDIA against AMD, Broadcom, Qualcomm, Marvell, and Intel.
Two full-reticle dies fused into one GPU, FP4 inference, and a fifth-generation NVLink that connects up to 576 GPUs — the architecture behind NVIDIA’s ‘AI factory’ strategy.
Moving OpenClaw off a Linux VPS and onto a hackintosh, then adding NotebookLM’s CLI to turn a finished blog post into a narrated slide video automatically.
Reacting to Citrini Research’s viral 2028 doom scenario: technological revolutions have never shrunk the economy, but the gap between people who can afford frontier AI and those who can’t is opening faster than any previous divide.
Watching an AI-curated information feed surface a YC ’ex technical founder’ listing made one thing click: the real skill now is building systems with AI, not just using it.
Voice in, an Obsidian note out, a blog post and short video out the other end automatically — plus Apple Notes, Google Sheets, and an email pipeline running hands-free.
Codex writes the code fast, Claude Code audits it, Gemini plugs into OpenClaw as a tool, NotebookLM organizes notes, and Nanobanana handles visuals — a small AI production line.
My notes on Jensen Huang’s unusually candid remarks at a 2026 AI summit: syntax stopped being the moat, and domain expertise became the whole game.
A benchmark chart making the rounds shows large models shifting from chatbots to agents — with Opus 4.6 dominating agentic computer use, GPT-5.2 still king of pure reasoning, and Gemini 3 Pro owning vision and multilingual work.
