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  • 年入千万的北美私董会们,背后有哪5个营销小窍门?

    19/10/2023

    1

    年入千万的北美私董会们,背后有哪5个营销小窍门?

    企业家排队参加的心理治疗?土豪怎么实现NBA梦?世界上顶级大聪明? 上半集包括恶搞富人的码农牛排馆、已经上市的富二代精英俱乐部和素人一手搭建的世界顶级富豪度假村;这一集将会聊到百万美金创始人心理治疗、实现NBA白日梦的土豪夏令营,没谱的学生荣誉社团和世界上最牛的大聪明。 内容从正经到爆笑,我们两个主播笑得逐渐模糊,推荐从头开始听,搭上我们这辆小火车。希望你会喜欢! [时间轴] (00:00) 主题简介 (01:08) 百万美金创始人排队参加的心理治疗: Hampton (16:37) 实现NBA梦的土豪夏令营: K Academy (23:25) 没谱的学生荣誉社团: Honors Soceity (34:00) 爆笑!世界上最聪明的人竟然是他: Giga Society [社交媒体] Youtube: @⁠⁠⁠Thomasjoepod⁠⁠⁠ | TikTok: @⁠⁠⁠thomasjoepod⁠⁠⁠ ⁠⁠⁠小宇宙⁠⁠⁠ & ⁠⁠⁠喜马拉雅⁠⁠⁠ & ⁠⁠⁠抖音⁠⁠⁠ & ⁠⁠⁠小红书⁠⁠⁠ & ⁠⁠⁠哔哩哔哩⁠⁠⁠ & 视频号:小火车过桥 [搞钱!还差九千多万就赚到一个亿了!]

    19/10/2023

    •
    43 min
  • 码农开的假牛排馆、私人会所的商业模式、黄石公园背后的地产大亨

    16/10/2023

    2

    码农开的假牛排馆、私人会所的商业模式、黄石公园背后的地产大亨

    谁不想成为有钱人?搞钱这事儿急不来,但是我们可以提前了解富豪的生活。所以今天我们就来聊聊世界上都有哪些神秘的有钱人俱乐部。上半集包括恶搞富人的码农牛排馆、已经上市的富二代精英俱乐部和素人一手搭建的世界顶级富豪度假村;下半集将会聊到百万美金创始人俱乐部、满足NBA白日梦的土豪夏令营,男权网红的猛男俱乐部和没谱的学生荣誉社团。 内容从正经到爆笑,我们两个主播笑得逐渐模糊,推荐从头开始听,搭上我们这辆小火车。希望你会喜欢! [时间轴] (00:00) 主题简介 (00:36) 码农恶搞的牛排馆: Mehran's Steak House (03:39) 已经上市的富二代精英俱乐部: Soho House (26:28) 世界顶级富豪度假村: Yellowstone Club (34:28) 十亿美金俱乐部第三位: Michael Meldman [社交媒体] Youtube: @⁠⁠⁠Thomasjoepod⁠⁠⁠ ⁠⁠⁠小宇宙⁠⁠⁠ & ⁠⁠⁠喜马拉雅⁠⁠⁠ & ⁠⁠⁠抖音⁠⁠⁠ & ⁠⁠⁠小红书⁠⁠⁠ & ⁠⁠⁠哔哩哔哩⁠⁠⁠ & 视频号:小火车过桥 [搞钱!还差九千多万就赚到一个亿了!]

    16/10/2023

    •
    45 min
  • How to be a "Super Ager" (it's not your genes)

    5 DAYS AGO

    3

    How to be a "Super Ager" (it's not your genes)

    From peptides and protein, to sleep hygiene and vaccines, what actually helps you age well? Physician Eric Topol breaks down the science — and the myths — of longevity and anti-aging. TED Radio Hour+ listeners now get access to bonus episodes, with more ideas from TED speakers and deeper conversations with Manoush. By signing up for Plus, you directly support our work and public media, so all your episodes (like this one!) come to you without sponsor breaks. Learn more at plus.npr.org/ted. See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences. NPR Privacy Policy

    5 days ago

    •
    50 min
  • Episode 93 - Starting A Consultancy From Nothing

    27/02/2023

    4

    Episode 93 - Starting A Consultancy From Nothing

    Send us Fan Mail In this episode I talk with Justin Beals the CEO & Co-Founder of Strike Graph. We discuss how he was able to build a consultancy from nothing and grow that experience into helping companies become more secure. We had a fantastic conversation and I hope you enjoy the episode! If you do enjoy the episode then please leave a review & share the podcast! Justin's Links: LinkedIn: https://www.linkedin.com/in/jubeals/ Website: https://www.strikegraph.com/ Support the show Follow the Podcast on Social Media! Tesla Referral Code: https://ts.la/joseph675128 YouTube: https://www.youtube.com/@securityunfilteredpodcast Instagram: https://www.instagram.com/secunfpodcast/ Twitter: https://twitter.com/SecUnfPodcast Affiliates ➡️ OffGrid Faraday Bags: https://offgrid.co/?ref=gabzvajh ➡️ OffGrid Coupon Code: JOE ➡️ Unplugged Phone: https://unplugged.com/ Unplugged's UP Phone - The performance you expect, with the privacy you deserve. Meet the alternative. Use Code UNFILTERED at checkout *See terms and conditions at affiliated webpages. Offers are subject to change. These are affiliated/paid promotions.

    27/02/2023

    •
    51 min
  • #495 – Vikings, Ragnar, Berserkers, Valhalla & the Warriors of the Viking Age

    9 APR

    5

    #495 – Vikings, Ragnar, Berserkers, Valhalla & the Warriors of the Viking Age

    Lars Brownworth is a historian, teacher, podcaster, and author specializing in Viking history, medieval Europe, and the Byzantine Empire. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep495-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/lars-brownworth-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: Lars’s Website: https://larsbrownworth.com/ The Sea Wolves (book): https://www.amazon.com/Sea-Wolves-History-Vikings/dp/1909979120 Lars’s Books: https://amzn.to/4sHY0xw 12 Byzantine Rulers Podcast : https://12byzantinerulers.com/ Norman Centuries Podcast: https://apple.co/4sgSxNi SPONSORS: To support this podcast, check out our sponsors & get discounts: Larridin: Measure AI adoption in your business. Go to https://larridin.com BetterHelp: Online therapy and counseling. Go to https://betterhelp.com/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex Fin: AI agent for customer service. Go to https://fin.ai/lex Shopify: Sell stuff online. Go to https://shopify.com/lex Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ OUTLINE: (00:00) – Introduction (01:03) – Sponsors, Comments, and Reflections (08:57) – The start of the Viking Age (18:50) – Viking military strategy, tactics & technology (32:33) – Ragnar Lothbrok (42:00) – The Great Heathen Army (46:42) – Rollo and Normandy (56:54) – Viking religion and Valhalla (1:07:25) – Viking explorers (1:12:33) – Vikings in North America (1:25:55) – Vikings in the East (1:45:33) – Byzantine Empire (1:54:17) – History and human nature PODCAST LINKS: – Podcast Website: https://lexfridman.com/podcast – Apple Podcasts: https://apple.co/2lwqZIr – Spotify: https://spoti.fi/2nEwCF8 – RSS: https://lexfridman.com/feed/podcast/ – Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 – Clips Channel: https://www.youtube.com/lexclips

    9 Apr

    •
    2h 10m
  • Striking a Balance between Security and Privacy: Exploring the Advantages and Disadvantages of AI-Driven Predictive Policing

    27/09/2023

    6

    Striking a Balance between Security and Privacy: Exploring the Advantages and Disadvantages of AI-Driven Predictive Policing

    Setting the Scene for AI in Policing As we stand on the cusp of a new era, the prospect of Artificial Intelligence (AI) revolutionizing yet another facet of our lives looms large. This time, it's the realm of law enforcement and crime prevention that stands to benefit, through the advent of AI-driven predictive policing. Picture a cityscape, teeming with unpredictability and criminal activity, where law enforcement often seems to be playing an exhausting game of catch-up. Now, imagine the transformation as AI enters the scene, not unlike a superhero wielding an arsenal of deep learning tools. This is an audio version of the article. The article can be found here: https://dhillemann.medium.com/striking-a-balance-between-security-and-privacy-exploring-the-advantages-and-disadvantages-of-1d411b806b78

    27/09/2023

    •
    20 min
  • Ferrari

    13 APR

    7

    Ferrari

    Ferrari is the pinnacle of luxury scarcity — across its entire 79-year history, the company has sold just 330,000 cars at an average price today of $500,000. For context, Hermès sells that many Birkins and Kellys roughly every 2 years, and Rolex moves that many watches every 3 months. And yet this ultimate luxury product also lives under the same roof with a widely beloved professional sports team… one with 400 million rabid fans from all walks of life who live and die by the Scuderia’s performance every F1 race weekend! How is it possible that these two seemingly contradictory customer bases can coexist within the same company? And far from destroying each other’s value, only reinforce it? The answer, it turns out, is a beautiful, bloody, tragic and romantic opera that spans two families and three generations — and just might be one of the best tales we’ve ever told on Acquired. Buckle up for the story of Ferrari. Sponsors: Many thanks to our fantastic Spring '26 Season partners: J.P. Morgan PaymentsVercelServiceNowStatsigLinks: Sign up for email updates, get out takeaways and research photos from each episode, and vote on future topics!Our Ferrari "episode preview" in WSJEnzo Ferrari by Luca Dal MonteSeeing Red on IMDbGo Like Hell by A.J. BaimeStephen Wilmot's great WSJ piece on FerrariFerrari factory tourWorldly Partners' Multi-Decade Ferrari StudyAll episode sourcesCarve Outs: Ford v FerrariMaison Wheat sweatersCraighill scissorsAmazon grocery serviceTravelpro Altitude backpackMore Acquired: Get email updates and vote on future episodes!Join the SlackCheck out the latest swag in the ACQ Merch Store!00:00:00 Start00:01:08 Intro00:06:11 Enzo Ferrari's Early Life & Tragedies (1898-1919)00:12:39 Scuderia Ferrari: Enzo's Racing Dream (1920-1933)00:25:08 The Prancing Horse & Ferrari's Branding00:35:41 First Ferrari Road Cars & Le Mans Victory (1947-1949)00:51:31 F1 & The Tragedies of Enzo's Life (1950s)01:14:03 Ford vs. Ferrari: The Le Mans Rivalry (1963-1966)01:21:24 Enzo Sells 50% to Fiat (1969)01:29:10 Luca di Montezemolo's Return to F1 Glory (1971-1976)01:52:40 Ferrari's "Pepsi Challenge" and how Luca rescued the company (1991)02:27:41 Post-IPO Ferrari: New Models & Growth (2015-Present)02:48:24 The FUV Purosangue & Model Range03:07:16 Ferrari Luce: The EV Future with Jony Ive03:12:37 Ferrari Today by the Numbers03:29:39 Analysis03:50:04 Carve-Outs + Thank Yous ‍Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions.

    13 Apr

    •
    3h 59m
  • AI-Proofing Your Skillset - High-Meaning, High-Specifity Vocabulary is the Path to Growth

    29 APR

    8

    AI-Proofing Your Skillset - High-Meaning, High-Specifity Vocabulary is the Path to Growth

    Why I'm Not "Picking a Fight" on AI: A listener asked if I'm intentionally stoking a flame war by treating agentic coding as a foregone conclusion. The honest answer is that I've used it, the data points one direction, and a show built around pretending otherwise would slowly drift away from reality — and away from being useful to you. Respecting the Misgivings, Without Getting Stuck in Them: Ethical concerns, skill atrophy worries, and questions about long-term effects are all legitimate. But the goal of this show is practical applicability, so we focus on mental models you can use Monday morning rather than litigating every angle of the debate. The "Minecraft" Principle: If I ask you to "build Minecraft," I've handed you several chapters of specification in a single word. That's meaning-rich abstraction — language that points at a huge amount of shared context with very little token cost. Meaning-Rich AND Specific: "Human history" is meaning-rich but uselessly broad. "Block-building game" is specific but loses fidelity. The sweet spot is vocabulary that is both compact and unambiguous — sitting in the top right of the meaning-density / specificity graph. A Real Example — Strategy Pattern: When working on authorization rules, I didn't want a pipeline. Instead of describing base classes, shared interfaces, and parallel execution to the LLM, I used the words "strategy pattern." Three words did the work of three paragraphs, and the output landed where I wanted it. Vocabulary as Leverage: Named patterns, named algorithms (Monte Carlo, etc.), named architectural concepts — these act like compressed pointers. The more of them you genuinely understand, the higher the leverage of every prompt you write and every conversation you have with another engineer. How to Build This Vocabulary: Have conversations with senior engineers. Ask an LLM what patterns are at play in a codebase, which ones you're using incorrectly, and which ones you're tricked into thinking you're using. Learn the abstraction layer that sits one step above your day-to-day implementation work. The Asterisk — Shared Context Required: This only works when both sides know the term. Public, well-documented concepts (patterns, papers, algorithms) translate immediately to LLMs. Private or organization-specific concepts need to be loaded into context — via CLAUDE.md, AGENTS.md, or skills — before that compression kicks in. Episode Homework: Pick one area of your current codebase. Ask an LLM to name the patterns in play, the patterns you're using incorrectly, and the ones you might be missing. Use that conversation to add at least one new piece of meaning-rich vocabulary to your working set. 🙏 Today's Episode is Brought To You by: Unblocked Your coding agents have access to your code base — and probably more — but access isn't the same as context. Agents can't reason well across MCPs on their own, they don't know your architecture decisions, and they don't know which docs are reliable versus written by someone in their free time two years ago. ● Unblocked is the context layer your agents are missing. ● It synthesizes your PRs, docs, Slack messages, and Jira issues into organizational context that agents actually understand. ● That means better plans, higher quality code, fewer tokens, and fewer correction loops. ● Whether you're running Claude Code, Cursor, Codex, or any agentic workflow, it's worth a look. Get a free three-week trial at getunblocked.com/developertea. 📮 Ask a Question If you enjoyed this episode and would like me to discuss a question that you have on the show, drop it over at: developertea.com. 📮 Join the Discord If you want to be a part of a supportive community of engineers (non-engineers welcome!) working to improve their lives and careers, join us on the Developer Tea Discord community today! 🗞️ Subscribe to The Tea Break We are developing a brand new newsletter called The Tea Break! You can be the first in line to receive it by entering your email directly over at developertea.com. 🧡 Leave a Review If you're enjoying the show and want to support the content head over to iTunes and leave a review!

    29 Apr

    •
    31 min
  • Can we preserve knowledge … forever?

    24 APR

    9

    Can we preserve knowledge … forever?

    Information feels more accessible than ever, but the ways we store data are surprisingly fragile. Can we save anything forever? This hour, TED speakers explore preserving our past, present and future. Guests include game designer CM Ralph, digital librarian Brewster Kayle, molecular biologist Dina Zielinksi and archeologist Chris Fisher. Original air date: January 27, 2023 TED Radio Hour+ listeners now get access to bonus episodes, with more ideas from TED speakers and deeper conversations with Manoush. By signing up for Plus, you directly support our work and public media, so all your episodes (like this one!) come to you without sponsor breaks. Learn more at plus.npr.org/ted. See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences. NPR Privacy Policy

    24 Apr

    •
    50 min
  • #494 – Jensen Huang: NVIDIA – The $4 Trillion Company & the AI Revolution

    23 MAR

    10

    #494 – Jensen Huang: NVIDIA – The $4 Trillion Company & the AI Revolution

    Jensen Huang is the co-founder and CEO of NVIDIA, the world’s most valuable company and the engine powering the AI computing revolution. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep494-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/jensen-huang-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: NVIDIA: https://nvidia.com NVIDIA on X: https://x.com/nvidia NVIDIA AI on X: https://x.com/NVIDIAAI NVIDIA on YouTube: https://youtube.com/@nvidia NVIDIA on Instagram: https://www.instagram.com/nvidia/ NVIDIA on LinkedIn: https://www.linkedin.com/company/nvidia/ NVIDIA on Facebook: https://www.facebook.com/NVIDIA/ NVIDIA on GitHub: https://github.com/NVIDIA Nemotron: https://developer.nvidia.com/nemotron SPONSORS: To support this podcast, check out our sponsors & get discounts: Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ Shopify: Sell stuff online. Go to https://shopify.com/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex Fin: AI agent for customer service. Go to https://fin.ai/lex Quo: Phone system (calls, texts, contacts) for businesses. Go to https://quo.com/lex OUTLINE: (00:00) – Introduction (00:26) – Sponsors, Comments, and Reflections (06:34) – Extreme co-design and rack-scale engineering (09:20) – How Jensen runs NVIDIA (28:41) – AI scaling laws (43:41) – Biggest blockers to AI scaling laws (45:25) – Supply chain (47:20) – Memory (53:25) – Power (58:45) – Elon and Colossus (1:02:13) – Jensen’s approach to engineering and leadership (1:07:38) – China (1:15:51) – TSMC and Taiwan (1:21:06) – NVIDIA’s moat (1:26:43) – AI data centers in space (1:30:31) – Will NVIDIA be worth $10 trillion? (1:40:40) – Leadership under pressure (1:54:26) – Video games (2:01:18) – AGI timeline (2:03:31) – Future of programming (2:17:02) – Consciousness (2:23:23) – Mortality PODCAST LINKS: – Podcast Website: https://lexfridman.com/podcast – Apple Podcasts: https://apple.co/2lwqZIr – Spotify: https://spoti.fi/2nEwCF8 – RSS: https://lexfridman.com/feed/podcast/ – Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 – Clips Channel: https://www.youtube.com/lexclips

    23 Mar

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