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18:31EN
AI Engineer· 2026년 10월 25일Janie Gu and Suyeol Yun: Why Frontier Models Fail as Buy-Side AnalystsJanie Gu, Suyeol Yun · Google DeepMindJanie Gu explains why benchmark scores can mislead, while Suyeol Yun presents MandateBench, which tests whether a model can turn a fund mandate into a defensible investment memo. The two talks show why real workflows, reproducible grading, and evidence-backed reasoning matter.
26:41EN
Latent Space· 2026년 10월 22일팟캐스트 · 2명Anekha Sokhal on Moshi, a Recommendation Engine for Commodity Traders게스트 Anekha Sokhal · 진행자 swyxThe Moshi founder tells swyx how she would rebuild a trader’s workflow: connect market data, private files and conflicting sources, then push the second-order effects people would otherwise miss. The hard part is not the dashboard. It is getting someone to actually use it.
23:39ZH
跟李沐学AI· 2025년 7월 23일李沐：给文本大模型加入一千万小时语音，开源 Higgs Audio李沐 · Boson AI李沐介绍团队如何在文本大语言模型的训练里加入大量语音数据，做成能听能说的 AudioLLM，并把 Higgs Audio 开源。他讲了架构取舍、token 压缩、数据从哪来，以及怎么在 3090 上跑起来。
27:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023년 12월 7일팟캐스트 · 2명Seven People Did the Work of 700. Salesforce's AI Chief Says Enterprise AI Is Still in the Second Inning진행자 Sarah Guo, Elad GilClara Shih tells Sarah Guo and Elad Gil why Salesforce built a shared LLM platform, why data cleanup beats model shopping, and why AI is becoming the enterprise UI.
15:43EN
Lex Fridman팟캐스트 · 2명Inside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving Study게스트 MIT-AVT · 진행자 Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.