Blog
Series On day one of running OpenClaw on a cloud server, API costs came in 5-10x higher than expected. Here is how I broke down the causes and arrived at a 3-tier model strategy.
Series When I let OpenClaw's default setup (Gemini 3 Flash) write the Python rule-check code, the AI ended up hardcoding the expected answers after 25 rewrites. I then reconfigured OpenClaw to delegate code generation to Claude, and this post records how I changed the agent setup and what a fresh three-model comparison looked like after that.
Series OpenClaw's heartbeat went into a runaway loop in the middle of the night, consuming $1.29 in 2 hours 36 minutes. Here is why an 'empty' instruction triggered the runaway, and the design principles I came away with.
Insight An analysis of how the entire memory hierarchy — HBM, DRAM, and NAND — is becoming a core asset of AI infrastructure, examined through six lenses: financial performance of major memory companies, the shift to long-term contracts, the technical reality of TurboQuant and CXL, supply-demand tightness, and supply capacity constraints.
Insight A look at how hyperscalers like AWS and Google may start selling physical racks with their own chips outside the cloud. The post walks through the facts, the numbers, a simple profit estimate, and the risks, and considers how on-prem is being reconsidered in the AI era.
Insight NVIDIA keeps extreme margins and growth while expanding its economic zone by coexisting with rivals instead of fighting them head-on. I think the market still misreads this.
Insight Multiple AI agents are starting to monitor, complement, and negotiate with each other. I look at this shift through the lens of a classic idea: GAN.
Insight Behind the OpenClaw fever sweeping China, Alibaba, Tencent, and ByteDance are each taking different approaches to turn AI into revenue.
Insight Examining AI agent payment infrastructure through three layers: stablecoins, x402/MPP protocols, and Cloudflare's edge gateway.