[2026-10-26] 59片晶圓算力巨獸挑戰兆級模型推論、傳統CNN何以扳倒頂級LLM皮膚癌診斷

詳細網頁版與參考連結：https://podcast.david888.com/post/2026-10-26 本集探討技術狂飆與反思：Cerebras 以 59 片晶圓晶片執行 3 兆引數模型，展示極限效能卻伴隨極高容錯成本；AWS 沙盒遭攻破則揭示語言層隔離的侷限。醫療研究驚現十年前老模型在皮膚癌診斷上輾壓頂級 LLM，打破通用模型神話。此外，AI 泛濫促使教授放棄批改作業、三星電視被爆常駐監控隱私，以及工程師重返 Gopher 極簡協定，皆引發對注意力經濟與技術本質的深刻反省。 相關連結： Cerebras Deploys Trillion-Parameter AI Models CrowdGPT - A collaboratively trained LLM. (r/LocalLLaMA) Breaking the AWS MCP Python Sandbox (r/netsec) JetBrains Thinkrail Rewriting a Commercial Engine in Jai debpalash / VoiceStudio (86,788 ⭐) A 10-year-old CNN outperforms frontier LLMs for skin cancer diagnosis I Built a Claude Code Skill That Runs a Full-Stack Security Audit in One Command by toshipon A story of a Figma bug that wasn't a bug at all (2021) Nikon photography contest winner loses title after scientists spot signs of AI Bbtree: Fastest Ordered Map AI use leads UC Berkeley math professor to see 'no point' in grading homework Root shell on Samsung TV Why Gopher in 2026?