AI Weekly Malaysia

A hands-on write-up of dual-booting Linux on the MSI Prestige N16 Flip AI Plus (Nvidia RTX Spark) found that Linux works — desktop, GPU acceleration via Nvidia's open kernel driver, 4K 120Hz, audio, touchpad — but the GPU locks to roughly 780 MHz when plugged in versus about 2.2 GHz on Windows. The cause is Nvidia's Platform Controllers and Framework, a Windows-only component whose power table is encrypted and unreadable by Linux. On GPT-OSS-120B the gap is stark: Windows 65.4 tokens/sec, WSL 65.1, DGX Spark 61, native Linux 13.9; a second blocker is that the laptop reserves 96GB of unified memory for the GPU by default and only Windows exposes the setting to change that split.

Why: If you were planning to buy an RTX Spark laptop as a portable local-inference box for Linux, the measured numbers say don't run it bare-metal today: 13.9 vs 65.4 tokens/sec on GPT-OSS-120B is a ~4.7x penalty, and you also can't repartition the 96GB GPU memory reservation from Linux. The practical workaround is WSL, which rides the Windows driver stack, keeps full GPU boost on battery and wall power, and still runs Linux-first tooling like vLLM — so budget for Windows as the host OS until Nvidia ports the platform controller's power management into its Linux driver.

Simon Willison published the October edition of his sponsors-only monthly newsletter, accessible to sponsors at $10/month, with the September issue available free as a preview. The teaser lists four topics: an "October inflection point for vibe game development", "the vulnerability apocalypse gets hot", new LLM releases, and API credits bundled into $100+/month subscriptions. The post itself contains no article body, numbers, or technical detail — only the topic list and a sponsor slot for Greptile's code-review agent.

Why: There is nothing here you can act on yet: the four teased topics are paywalled and unelaborated, so no version numbers, prices, or findings are given. The one signal worth noting is that a $10/month subscription tier is being positioned around the claim that API credits are now bundled into $100+/month LLM plans — if that pattern holds, it changes how you'd compare a coding-assistant subscription against paying per token, but this text supplies zero figures to evaluate it with.