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5:49EN
Jane Street· 23. Mai 2023Ian on Software Engineering at Jane StreetIan · Jane StreetA London desk developer explains code review, OCaml training, intern projects and the feedback that comes from sitting near users.Software engineeringCode review & verificationDeveloper productivity+1
6:42EN
Jane Street· 23. Mai 2023Ezio on Linux Engineering and Collaboration at Jane StreetEzio · Jane StreetA London engineer explains his team’s infrastructure work, the Pride community group and why new hires should ask questions.Infrastruktur & DeploymentCompany CultureCareers+1
4:51EN
Jane Street· 23. Mai 2023Rachel on Trading Desk Operations at Jane StreetRachel · Jane StreetA London trading desk operations professional describes her daily work, collaboration, interview advice and experience of the firm's culture.CareersCompany Culture
1:33:51EN
Cognitive Revolution "How AI Changes Everything"· 23. Mai 2023PodcastGPT-4 still writes SQL that will not run. She put a guardrail on the modelModeration: Nathan LabenzShreya Rajpal built Guardrails AI so developers can encode what “correct” means, validate the pieces, and send failures back to the model instead of hoping the prompt holds.SicherheitEvalsHuman-in-the-Loop-Validierung+3
1:29:33EN
20VC with Harry Stebbings· 22. Mai 2023Podcast · 2 StimmenNico Wittenborn on Consumer Subscriptions and Solo InvestingGast: Nico Wittenborn · Moderation: Harry StebbingsThe Adjacent founder discusses retention, acquisition, fund construction and how evolving trends shape early-stage bets.Venture CapitalInvestingGrowth Strategy+1
1:25:35EN
Cognitive Revolution "How AI Changes Everything"· 21. Mai 2023PodcastTwo and a Half Years From 33.3% to 86.5%: Google Sent Foundation Models to Medical SchoolModeration: Nathan LabenzVivek Natarajan walks Nathan Labenz through Med-PaLM and Med-PaLM 2: the data-light techniques, the nine-axis clinician evals, and why a high USMLE-style score is the wrong trophy.Modelle & TrainingAI in healthcareFine-Tuning+3
4 Folien10:16EN
Matthew Berman· 21. Mai 2023DarkBERT: Adapting a Language Model to Dark-Web TextMatthew Berman · Forward FutureMatthew Berman reviews research on a RoBERTa-based model and its cybersecurity evaluations.AI securityPretraining & midtrainingBenchmarks+1
50:24EN
20VC with Harry Stebbings· 19. Mai 2023Podcast · 2 StimmenRyan Wiggins on Growth Systems, WhatsApp and HiringGast: Ryan Wiggins · Moderation: Harry StebbingsMercury’s growth leader explains retention, experiments, small teams and the transition from product-market fit to repeatable growth.Growth StrategyProduct-Led GrowthExperimentation+2
1:38:22EN
Cognitive Revolution "How AI Changes Everything"· 19. Mai 2023PodcastSix days after “slow down,” the plugins went liveModeration: Nathan LabenzConjecture CEO Connor Leahy talks GPT-4, the magic of black-box models, and cognitive emulation as a bounded alternative to god-like AGI.SicherheitAGISicherheit & Governance+3
42:18EN
No Priors: AI, Machine Learning, Tech, & Startups· 18. Mai 2023Podcast · 2 StimmenTen Percent of Search Is Health — and the Doctor Is Googling TooModeration: Sarah Guo, Elad GilGoogle researcher Karan Singhal on Med-PaLM 2, the real bar for medical language models, and why medicine is a harder alignment lab than chatbots.Modelle & TrainingAI in healthcareSicherheit & Governance+3
59:38EN
Jane Street· 18. Mai 2023Richard Eisenberg on Dependent Types, OCaml, and AI-Assisted ProgrammingYaron Minsky, Richard Eisenberg · Jane StreetHow type systems can express correctness and performance, and why precise, readable specifications still matter when AI writes code.Software engineeringOpen-source ecosystemsCoding-Agenten+1
2:18:49EN
Lex Fridman· 18. Mai 2023Podcast · 2 StimmenAfter the Big Bang, the universe was a thin soupGast: Anna Frebel · Moderation: Lex FridmanMIT astrophysicist Anna Frebel tells Lex Fridman how leftover stars in the Milky Way still carry the chemistry of the first billion years, and how our galaxy grew by eating its neighbors.CosmologyScience CommunicationPhilosophy of Science
3 Folien8:54EN
Matthew Berman· 18. Mai 2023StableStudio in 2023: A Local Interface for Hosted Image GenerationMatthew Berman · Matthew BermanMatthew Berman walks through Stability AI’s open-source interface, its image tools and the setup that still required a hosted API.Generative mediaOpen SourceProdukt & UX+1
57:23EN
Matthew Berman· 18. Mai 2023Sam Altman, Gary Marcus and IBM Testify on AI Risks: Matthew Berman ReactsMatthew Berman, Sam Altman, Christina Montgomery, Gary Marcus, Richard Blumenthal, Josh Hawley, Amy Klobuchar, Mazie Hirono, John Kennedy, Chris Coons, Peter Welch · Forward FutureBerman reviews selected 2023 Senate hearing excerpts on safety testing, misinformation, jobs, licensing and the proposed AI pause.AI RegulationAI SafetySicherheit & Governance+2
1:11:11EN
20VC with Harry Stebbings· 17. Mai 2023Podcast · 2 StimmenEmad Mostaque on Open AI Models, National Data and the Race to DeployGast: Emad Mostaque · Moderation: Harry StebbingsThe Stability AI co-founder describes his 2023 vision for open models, healthcare applications and AI businesses, alongside concerns about a speculative boom.Foundation ModelsOpen-weight modelsAI in healthcare+2
11:15EN
AI Explained· 17. Mai 2023What Sam Altman’s 2023 Senate Testimony Said About AI RisksSam Altman, Gary Marcus · OpenAIA contemporary analysis of the hearing’s debates over jobs, military use, regulation and future model capabilities.AI RegulationAI SafetyAI research
1:28:43EN
Cognitive Revolution "How AI Changes Everything"· 16. Mai 2023PodcastClinical Guidelines Are 11% Evidence. Curai’s Founder Still Wants GPT-4 in the Exam RoomModeration: Nathan LabenzNeal Khosla of Curai Health argues that large language models already match median U.S. physicians on today’s tests — and that the real work is scaffolding, supervision, and a doctor’s signature.Unternehmen & StrategieAI in healthcareProduct Strategy+3
4 Folien11:07EN
Matthew Berman· 16. Mai 2023Testing MosaicML MPT-7B Chat and StoryWriter in 2023Matthew Berman · Forward FutureMatthew Berman examines MPT-7B model variants, their licenses and a mixed set of local tests.Open-weight modelsBenchmarksModelle & Training+1
5 Folien5:11EN
Matthew Berman· 15. Mai 2023Installing PrivateGPT to Ask Questions About Local Documents: A 2023 WalkthroughMatthew Berman · Forward FutureMatthew Berman demonstrates the original PrivateGPT setup, from cloning the repository and downloading models to ingesting files and querying them locally.RAG & WissenLocal inferenceDocument understanding & OCR+2
1:06:02EN
20VC with Harry Stebbings· 15. Mai 2023Podcast · 2 StimmenYann LeCun on Open AI Models, Safety and the Future of ResearchGast: Yann Lecun · Moderation: Harry StebbingsMeta’s chief AI scientist discusses language models, research priorities and his contested views on AI risk and employment.AI researchAI SafetyOpen-weight models+2
1:51:12EN
Lex Fridman· 15. Mai 2023Podcast · 2 StimmenHarvey Silverglate Would Fire 95 Percent of Harvard's AdministratorsGast: Harvey Silverglate · Moderation: Lex FridmanThe FIRE co-founder, running as a write-in for Harvard's Board of Overseers, tells Lex Fridman why hate speech is more useful than love speech and why discomfort is the price of a free campus.Free SpeechPolitical PhilosophyPhilosophy+2
58:47EN
20VC with Harry Stebbings· 12. Mai 2023Podcast · 2 StimmenClem Delangue on Open AI, Model Choices and Building Hugging FaceGast: Clem Delangue · Moderation: Harry StebbingsThe Hugging Face CEO discusses the company’s pivot, open-model economics, legal uncertainty and his approach to fundraising.Open SourceAI StrategyFoundation Models+2
Folien5:24EN
Matthew Berman· 12. Mai 2023Google I/O 2023: Bard, PaLM 2 and AI Across Google's ProductsMatthew Berman · Forward FutureMatthew Berman reviews Google's 2023 AI announcements and weighs its focus on improving established products.AI StrategyProdukt & UXModelle & Training+1
58:24EN
Cognitive Revolution "How AI Changes Everything"· 11. Mai 2023PodcastAmong 100 Random Doctors, Zak Kohane Would Be Surprised If One Beat GPT-4Moderation: Nathan LabenzHarvard's biomedical informatics chair on a rare newborn case, why drug-style trials will not certify a general medical model, and why the AI should still work for the patient.AI in healthcareEvalsHuman-AI Collaboration+3
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