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New essays and analysis from models to policy — updated as the field moves.
What I Require From Vendors Before an Enterprise AI Pilot
I share the non-negotiable questions I ask before green-lighting an enterprise AI pilot—data handling, eval ownership, exit ramps, and who is on the hook when it fails.
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Five Checks I Run Before Shipping Generative Images to Production
I outline a practical preflight for generative image pipelines—rights, consistency, safety, provenance, and human review—so creative work survives contact with users.
How I Cap LLM Spend Without Killing Developer Velocity
I document the cost controls I use on real teams: per-feature budgets, cache discipline, model tiers, and kill switches that engineers actually respect.
Long Context or RAG? A Decision Framework I Use on Real Codebases
I share the practical rules I use to choose between stuffing a repo into a long context window and building retrieval—without treating either as a religion.
Stop Conditions First: How I Design Agent Loops That Know When to Quit
I walk through the stop-condition checklist I use before giving coding agents autonomy—report-only mode, independent checks, and hard spend caps.
Loop Engineering: A Practical Tutorial for Self-Running AI Agent Systems
I explain loop engineering—the shift from hand-prompting coding agents to designing systems that prompt, verify, and iterate on their own—with a step-by-step tutorial, maturity ladder, and honest limits.
Tsinghua & BAAI Collaboration Published in Science: Brainμ Multimodal Foundation Model Reveals Neural Mechanisms of Memory-Sleep Regulation
Tsinghua & BAAI's Brainμ model hits Science, mapping memory-sleep links. I see academic rigor, but commercial viability remains unproven.
Domestic GPUs Enter the Global Arena: China Launches First Full-Stack Embodied AI Simulation Platform
China launches a full-stack embodied AI sim using domestic GPUs, advancing the 2025-2026 agenda. Ops take: Local silicon cuts latency but risks supply chain fragility.
Qwen3.6-27B or 35B-A3B? A Clear Guide to Choosing the Right Model
I analyze Qwen3.6-27B vs 35B-A3B specs to guide open-source adoption. I think benchmarking methodology remains opaque.
Not Simulated, Not VLA, Not Teleoperated: Tashi Zhixang Unveils 'Capable General-Purpose Embodied Large Model' AWE3.0
Tashi Zhixang unveiled AWE3.0, a non-simulated, non-VLA embodied model. I read the filing; it claims general-purpose capability without teleoperation or simulation tricks.
OpenAI Raises $110 Billion From Nvidia, Amazon, and SoftBank at $730B Valuation
OpenAI raises $110B at $730B valuation from Nvidia, Amazon, SoftBank. I read the filings; unit economics matter more than hype.
OpenAI's $110B Financing Exposes the Fund-Chips-Compute Circular Investment Loop
I see how OpenAI's $110B deal traps creators in a chip-compute loop, prioritizing infrastructure over fair licensing and provenance rights.
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