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Andrew D. Huberman, Ph.D.

668,314 views • 1 year ago

Full interview with the founder and CEO of Propr Lou sits down with me to discuss Hyperliquid and the future of prop trading Timestamps: 00:00:00 Intro 00:00:16 Meet Louis: from TradFi to crypto 00:01:52 How the crypto market has changed 00:03:49 Why build on Hyperliquid 00:06:52 How propr got started 00:08:40 Scaling a lean team (and the grind) 00:12:24 What a prop firm actually is 00:15:33 Agents, bots, and the future of trading 00:18:32 What Louis is most proud of 00:21:02 Thinking about the token and TGE 00:24:14 Where propr goes in 5 years 00:25:57 Best and worst trades 00:27:50 Life outside crypto + shoutouts

Full interview with the founder and CEO of Propr Lou sits down with me to discuss Hyperliquid and the future of prop trading Timestamps: 00:00:00 Intro 00:00:16 Meet Louis: from TradFi to crypto 00:01:52 How the crypto market has changed 00:03:49 Why build on Hyperliquid 00:06:52 How propr got started 00:08:40 Scaling a lean team (and the grind) 00:12:24 What a prop firm actually is 00:15:33 Agents, bots, and the future of trading 00:18:32 What Louis is most proud of 00:21:02 Thinking about the token and TGE 00:24:14 Where propr goes in 5 years 00:25:57 Best and worst trades 00:27:50 Life outside crypto + shoutouts

ryandcrypto

42,479 views • 1 month ago

We don't know what most microbial genes do. Can genomic language models help? there's only one way to find out! this is a 1 hour and 42 minute interview with an MIT professor (the famous Yunha Hwang) chatting about these questions, her work in solving them at Tatta Bio, and more. zoomer captions are back too Links in reply! Timestamps: 00:00:00 - Clips + sponsor roll from the wonderful LatchBio 00:02:07 – Introduction 00:02:23 – Why do microbial genomes matter 00:04:07 – Deep learning acceptance in metagenomics 00:05:25 – The case for genomic “context” over sequence matching 00:06:43 – OMG: the only ML-ready metagenomic dataset 00:09:27 – gLM2: A multimodal genomic language model 00:11:06 – What do you do with the output of genomic language models? 00:17:41 – How will OMG evolve? 00:20:26 – Why train on only microbial genomes, as opposed to all genomes? 00:22:58 – Do we need more sequences or more annotations? 00:23:54 – Is there a conserved microbial genome ‘language’? 00:28:11 – What non-obvious things can this genomic language model tell you? 00:33:08 – Semantic deduplication and evaluation 00:37:33 – How does benchmarking work for these types of models? 00:41:31 – Gaia: A genomic search engine 00:44:18 – Even ‘well-studied’ genomes are mostly unannotated 00:50:51 – Using agents on Gaia 00:54:53 – Will genomic language models reshape the tree of life? 00:59:18 – Current limitations of genomic language models 01:08:54 – Directed evolution as training data 01:12:35 – What is Tatta Bio? 01:19:02 – Building Google for genomic sequences (SeqHub) 01:25:46 – How to create communities around scientific OSS 01:29:06 – What’s the purpose in the centralization of the software? 01:35:37 – How will the way science is done change in 10 years?

We don't know what most microbial genes do. Can genomic language models help? there's only one way to find out! this is a 1 hour and 42 minute interview with an MIT professor (the famous Yunha Hwang) chatting about these questions, her work in solving them at Tatta Bio, and more. zoomer captions are back too Links in reply! Timestamps: 00:00:00 - Clips + sponsor roll from the wonderful LatchBio 00:02:07 – Introduction 00:02:23 – Why do microbial genomes matter 00:04:07 – Deep learning acceptance in metagenomics 00:05:25 – The case for genomic “context” over sequence matching 00:06:43 – OMG: the only ML-ready metagenomic dataset 00:09:27 – gLM2: A multimodal genomic language model 00:11:06 – What do you do with the output of genomic language models? 00:17:41 – How will OMG evolve? 00:20:26 – Why train on only microbial genomes, as opposed to all genomes? 00:22:58 – Do we need more sequences or more annotations? 00:23:54 – Is there a conserved microbial genome ‘language’? 00:28:11 – What non-obvious things can this genomic language model tell you? 00:33:08 – Semantic deduplication and evaluation 00:37:33 – How does benchmarking work for these types of models? 00:41:31 – Gaia: A genomic search engine 00:44:18 – Even ‘well-studied’ genomes are mostly unannotated 00:50:51 – Using agents on Gaia 00:54:53 – Will genomic language models reshape the tree of life? 00:59:18 – Current limitations of genomic language models 01:08:54 – Directed evolution as training data 01:12:35 – What is Tatta Bio? 01:19:02 – Building Google for genomic sequences (SeqHub) 01:25:46 – How to create communities around scientific OSS 01:29:06 – What’s the purpose in the centralization of the software? 01:35:37 – How will the way science is done change in 10 years?

owl

44,279 views • 7 months ago

Full Podcast with Spencer: OG Trader to Full-time Founder & CEO in Crypto. Spencer is the founder of Orange Cap Games & Head Birb at Moonbirds. “Our tagline always was ‘bring IP to life.’” 00:00:56 – Meeting Spencer 00:02:13 – Spencer’s Background Before Crypto 00:03:52 – Talking Trading Cards 00:08:04 – How Trading Cards evolved in the digital era 00:11:18 – How Environment Shapes Ambition & Success 00:14:25 – Private Influence vs Public Leadership in Crypto 00:16:07 – Why Skill Is Hard to Measure in Crypto Trading 00:19:34 – Overtrading, Conviction & Playing the Long Game 00:22:10 – Seeing the Crypto Chessboard 00:26:47 – Being Both a Founder and a Trader 00:31:48 – Why Acquiring Moonbirds Made Sense 00:38:46 – The Future of Moonbirds, IP & Brand Building

JackGK

36,015 views • 5 months ago

.Baiju Bhatt co-founded Robinhood. Now he's building something completely different - a solar panel grid in space that beams energy down to Earth with lasers at @AetherfluxUSA I mean. Why not? This is our full chat with Baiju. He's got a fascinating life story and is thoughtful and bright. The Core Memory podcast is on all major platforms and made possible by the fine people Brex and E1 Ventures 🇺🇸. Come dig in. Timestamps 00:00:00 Intro 00:01:01 Robinhood Was Born Here 00:03:16 Dad's Secret Dream 00:08:02 The Crisis Changed Everything 00:11:39 The Switch That Flipped 00:18:44 Why Physics, Not Finance? 00:23:11 Stanford or Bust 00:30:50 The GameStop Trigger 00:41:54 The Day Robinhood Almost Broke 00:48:54 The Space Idea Nobody Tried 00:56:56 Why Space Energy Makes Sense 01:03:20 AI's Dirty Secret: Power 01:05:55 How Atherflux Actually Works 01:11:36 Why the Company Is Called That 01:18:37 Could SpaceX Just Copy This? 01:26:27 Rivals or Allies in Space?

.Baiju Bhatt co-founded Robinhood. Now he's building something completely different - a solar panel grid in space that beams energy down to Earth with lasers at @AetherfluxUSA I mean. Why not? This is our full chat with Baiju. He's got a fascinating life story and is thoughtful and bright. The Core Memory podcast is on all major platforms and made possible by the fine people Brex and E1 Ventures 🇺🇸. Come dig in. Timestamps 00:00:00 Intro 00:01:01 Robinhood Was Born Here 00:03:16 Dad's Secret Dream 00:08:02 The Crisis Changed Everything 00:11:39 The Switch That Flipped 00:18:44 Why Physics, Not Finance? 00:23:11 Stanford or Bust 00:30:50 The GameStop Trigger 00:41:54 The Day Robinhood Almost Broke 00:48:54 The Space Idea Nobody Tried 00:56:56 Why Space Energy Makes Sense 01:03:20 AI's Dirty Secret: Power 01:05:55 How Atherflux Actually Works 01:11:36 Why the Company Is Called That 01:18:37 Could SpaceX Just Copy This? 01:26:27 Rivals or Allies in Space?

Ashlee Vance

23,226 views • 3 months ago

Coconote acquired by Quizlet 🎉 $6.7M ARR, 2M+ users, 1B+ views on TikTok – exit after 18 months I got Brett & Zack to share all the sauce. Full vid 👇 00:00 Intro 01:23 Superwall Podcast Overview 02:17 Coco Note Introduction 03:23 Viral Growth Strategies 05:23 TikTok Success Story 07:32 Content Creation Insights 10:14 Creator Talent Development 15:04 Discovering and Nurturing Talent 20:33 App Monetization Tactics 25:25 Building a Lean Team 30:00 Conversion and Retention Strategies 38:39 Strategic Partnerships and Acquisitions 45:02 Future Innovations and Opportunities 51:00 Closing Remarks

Coconote acquired by Quizlet 🎉 $6.7M ARR, 2M+ users, 1B+ views on TikTok – exit after 18 months I got Brett & Zack to share all the sauce. Full vid 👇 00:00 Intro 01:23 Superwall Podcast Overview 02:17 Coco Note Introduction 03:23 Viral Growth Strategies 05:23 TikTok Success Story 07:32 Content Creation Insights 10:14 Creator Talent Development 15:04 Discovering and Nurturing Talent 20:33 App Monetization Tactics 25:25 Building a Lean Team 30:00 Conversion and Retention Strategies 38:39 Strategic Partnerships and Acquisitions 45:02 Future Innovations and Opportunities 51:00 Closing Remarks

Joseph Choi

76,715 views • 3 months ago

There are honestly some decent and common questions about the Apollo program’s moon landings that I figured we should check out ourselves. Because there’s no denying things from the Apollo program look unusual and are quite literally foreign to us in all other contexts. Enjoy 10 months of research, work, dozens of animations, 9 hours of 6k dialogue that took up 3.1 terabytes of hard drive space and MOUNTAINS OF LOVE covering the most incredible journey in all of human history (so far), the Apollo Program. Send this to anyone who watched the Bart Siebrel video on Joe Rogan, and maybe Elon Musk, you should make Joe watch this so he has answers to his questions. 00:00:00 - INTRO 00:04:40 - APOLLO 17 LIFTOFF FOOTAGE 00:19:05 - WHY DON'T WE SEE STARS 00:25:40 - LUNAR SHADOWS 00:32:00 - CROSSHAIRS BEHIND OBJECTS 00:34:10 - WHY DID THE FLAG WAVE 00:38:00 - ASTRONAUTS ON WIRES 00:47:15 - FOOTPRINTS / PROP ROCKS 00:49:05 - MOON ROCK OR WOOD 00:51:35 - VAN ALLEN BELT RADIATION 01:12:55 - LOST APOLLO 11 TAPES 01:07:55 - DID NASA FAKE FOOTAGE 01:19:30 - LOST SATURN V PLANS 01:23:00 - THE LUNAR LANDER'S THIN SKIN 01:27:50 - LUNAR ROVER DUST 01:29:30 - OTHER PHOTOGRAPHIC EVIDENCE 01:37:20 - DID ANYONE ELSE TRACK THE MISSIONS 01:40:15 - THE SOVIETS' REACTION TO APOLLO 01:42:10 - ORBITAL MECHANICS OF APOLLO 01:51:15 - DELTA V OF APOLLO 02:04:30 - WHY HAVEN'T WE GONE BACK 02:14:30 - SUMMARY

There are honestly some decent and common questions about the Apollo program’s moon landings that I figured we should check out ourselves. Because there’s no denying things from the Apollo program look unusual and are quite literally foreign to us in all other contexts. Enjoy 10 months of research, work, dozens of animations, 9 hours of 6k dialogue that took up 3.1 terabytes of hard drive space and MOUNTAINS OF LOVE covering the most incredible journey in all of human history (so far), the Apollo Program. Send this to anyone who watched the Bart Siebrel video on Joe Rogan, and maybe Elon Musk, you should make Joe watch this so he has answers to his questions. 00:00:00 - INTRO 00:04:40 - APOLLO 17 LIFTOFF FOOTAGE 00:19:05 - WHY DON'T WE SEE STARS 00:25:40 - LUNAR SHADOWS 00:32:00 - CROSSHAIRS BEHIND OBJECTS 00:34:10 - WHY DID THE FLAG WAVE 00:38:00 - ASTRONAUTS ON WIRES 00:47:15 - FOOTPRINTS / PROP ROCKS 00:49:05 - MOON ROCK OR WOOD 00:51:35 - VAN ALLEN BELT RADIATION 01:12:55 - LOST APOLLO 11 TAPES 01:07:55 - DID NASA FAKE FOOTAGE 01:19:30 - LOST SATURN V PLANS 01:23:00 - THE LUNAR LANDER'S THIN SKIN 01:27:50 - LUNAR ROVER DUST 01:29:30 - OTHER PHOTOGRAPHIC EVIDENCE 01:37:20 - DID ANYONE ELSE TRACK THE MISSIONS 01:40:15 - THE SOVIETS' REACTION TO APOLLO 01:42:10 - ORBITAL MECHANICS OF APOLLO 01:51:15 - DELTA V OF APOLLO 02:04:30 - WHY HAVEN'T WE GONE BACK 02:14:30 - SUMMARY

Everyday Astronaut

924,538 views • 1 year ago

내가 보려고 모은 #조이 역대 브릿지 파트 모음.zip (Ice Cream Cake~Sweet Dreams) 💚 * 레드벨벳 앨범만 포함했습니다 00:00 Somethin Kinda Crazy 00:05 Take It Slow 00:13 사탕 (Candy) 00:20 Dumb Dumb 00:22 Campfire 00:31 Lady’s Room 00:33 Day 1 00:43 Coold World 00:51 My Dear 00:55 Bad Dracula 00:58 Happily Ever After 01:03 빨간 맛 (Red Flavor) 01:09 여름빛 (Mojito) 01:13 I Just 01:17 Kingdom Come 01:23 두 번째 데이트 (My Second Date) 01:27 Attaboy 01:36 Perfect 10 01:42 달빛소리 01:53 Bad Boy 01:59 Time To Love 02:09 #Cookie Jar 02:13 Aitai-tai 02:20 Power Up 02:23 한 여름의 크리스마스 (With You) 02:30 Mr.E 02:35 Mosquito 02:41 RBB (Really Bad Boy) 02:47 So Good 02:51 멋있게 (Sassy Me) 02:54 Swimming Pool 02:57 Sayonara 03:04 짐살라빔 (Zimzalabim) 03:12 Sunny Side Up! 03:16 Milkshake 03:21 친구가 아냐 (Bing Bing) 03:29 안녕, 여름 (Parade) 03:32 LP 03:41 음파음파 (Umpah Umpah) 03:48 카풀 (Carpool) 03:57 Love Is The Way 04:05 Jumpin’ 04:11 눈 맞추고, 손 맞대고 (Eyes Locked, Hand Locked) 04:17 Psycho 04:24 In & Out 04:34 Remember Forever 04:44 Milky Way 04:52 Queendom 05:00 Pose 05:07 Knock On Wood 05:15 Better Be 05:25 Feel My Rhythm 05:29 Rainbow Halo 05:36 Beg For Me 05:43 In My Dreams 05:48 Marionette 05:50 WILDSIDE 05:54 Jackpot 06:00 Snap Snap 06:08 ‘Cause it’s you 06:14 Color of Love 06:16 Birthday 06:19 BYE BYE 06:22 롤러코스터 (On A Ride) 06:29 Zoom 06:40 Celebrate 06:48 Chill Kill 06:56 Knock Knock (Who’s There?) 06:59 Nightmare 07:03 One Kiss 07:10 Wings 07:21 풍경화 (Scenery) 07:32 Sunflower 07:38 Love Arcade 07:44 Bubble 07:51 Night Drive 07:57 Sweet Dreams

내가 보려고 모은 #조이 역대 브릿지 파트 모음.zip (Ice Cream Cake~Sweet Dreams) 💚 * 레드벨벳 앨범만 포함했습니다 00:00 Somethin Kinda Crazy 00:05 Take It Slow 00:13 사탕 (Candy) 00:20 Dumb Dumb 00:22 Campfire 00:31 Lady’s Room 00:33 Day 1 00:43 Coold World 00:51 My Dear 00:55 Bad Dracula 00:58 Happily Ever After 01:03 빨간 맛 (Red Flavor) 01:09 여름빛 (Mojito) 01:13 I Just 01:17 Kingdom Come 01:23 두 번째 데이트 (My Second Date) 01:27 Attaboy 01:36 Perfect 10 01:42 달빛소리 01:53 Bad Boy 01:59 Time To Love 02:09 #Cookie Jar 02:13 Aitai-tai 02:20 Power Up 02:23 한 여름의 크리스마스 (With You) 02:30 Mr.E 02:35 Mosquito 02:41 RBB (Really Bad Boy) 02:47 So Good 02:51 멋있게 (Sassy Me) 02:54 Swimming Pool 02:57 Sayonara 03:04 짐살라빔 (Zimzalabim) 03:12 Sunny Side Up! 03:16 Milkshake 03:21 친구가 아냐 (Bing Bing) 03:29 안녕, 여름 (Parade) 03:32 LP 03:41 음파음파 (Umpah Umpah) 03:48 카풀 (Carpool) 03:57 Love Is The Way 04:05 Jumpin’ 04:11 눈 맞추고, 손 맞대고 (Eyes Locked, Hand Locked) 04:17 Psycho 04:24 In & Out 04:34 Remember Forever 04:44 Milky Way 04:52 Queendom 05:00 Pose 05:07 Knock On Wood 05:15 Better Be 05:25 Feel My Rhythm 05:29 Rainbow Halo 05:36 Beg For Me 05:43 In My Dreams 05:48 Marionette 05:50 WILDSIDE 05:54 Jackpot 06:00 Snap Snap 06:08 ‘Cause it’s you 06:14 Color of Love 06:16 Birthday 06:19 BYE BYE 06:22 롤러코스터 (On A Ride) 06:29 Zoom 06:40 Celebrate 06:48 Chill Kill 06:56 Knock Knock (Who’s There?) 06:59 Nightmare 07:03 One Kiss 07:10 Wings 07:21 풍경화 (Scenery) 07:32 Sunflower 07:38 Love Arcade 07:44 Bubble 07:51 Night Drive 07:57 Sweet Dreams

맑음쨩 🍏

20,678 views • 1 year ago