[Today's Picks] 09/11 Worth a look

Today's three posts are quite good; they all dig from the hype into the delivery scene: one manages asset status, one focuses on vehicle infotainment calibration, and one breaks down AI power consumption into a schedule.

1. Organize Delivery Before Turning Photos into Slideshow Videos with WorkBuddy

kuaimen's post pulls the idea of turning Renoise photos into slideshow videos back to the delivery reality. The opening line, "126 original images passed through WeChat three times, filenames looking like a film box spilled on the floor," is too real. He uses WorkBuddy to build a "Slideshow Video Production Sheet," keeping only fields like shot type, color temperature, recommended animation, clip duration, and client confirmation. This suits people who are stressed out by assets and versions.

2. XC40 PHEV Returns, Don't Rush to Hype the Infotainment System

When luo_xiujie test-drove the XC40 PHEV, he didn't rush to hype Gemini. First, he noted it could understand "Find a cheap parking spot, and lower the AC by two degrees," with a reaction time of roughly one or two seconds. But once in the underground garage where the network was unavailable, context was lost after reconnection. He focused more on sensor calibration, permissions, and who is responsible for after-sales service. This post is suitable for those wanting to see smart cars move from demos to mass-production pitfalls.

3. Conduct an Off-Grid Power Checkup for AI Projects

gu_jinyu broke down big news from Bloomberg Tech—Anthropic, gigawatt-scale power, 50 GW capacity—into an Excel "Power Checkup Sheet": project name, scenario, daily average calls, latency requirements, and offline tolerance. He also used "Customer service summaries, 20,000 calls, 2 seconds, can go offline but must return results" as an example, reminding us not to just ask how big the model is, but whether the business can tolerate the latency.