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Jackson Solley (Jackson Solley 2027 QB) passing comp below 👇 Episcopal Academy x PASwag Favorite reps: 00:39, 00:50, 00:54, 1:11, Formerly out of Upper Merion, Solley is going to have a crack at putting forth great tape at EPA as a 2027. PRZ 2027 Ranking: Pos 5, Ovr 101

VicCastilloPRZ

73,930 subscribers

17,602 次观看 • 1 年前 •via X (Twitter)

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Pooty Cunningham (Pooty Cunningham 2027 QB) passing comp below 👇 Monroe x CTC Favorite reps: 00:22, 00:55, 1:20, 1:30, 1:50 Another Tournament MVP Candidate. Will be a passer I’ll keep my eye on moving forward. Love his demeanor, anticipator who wins w accuracy.

Pooty Cunningham (Pooty Cunningham 2027 QB) passing comp below 👇 Monroe x CTC Favorite reps: 00:22, 00:55, 1:20, 1:30, 1:50 Another Tournament MVP Candidate. Will be a passer I’ll keep my eye on moving forward. Love his demeanor, anticipator who wins w accuracy.

VicCastilloPRZ

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These ladies had an amazing time at Tennessee Softball camp! Huge thank you to Karen Weekly, Craig Snider 🍊, and Stephanie Sanders for putting on such a great experience! Tampa Mustangs Rene- Pynes 16U will be at T25 in Dalton, GA this weekend — Game 1 at 2:00 PM on Field 5, and Game 2 at 8:00 PM on Field 6. 2027 Gracyn Needle 2027 2027 Emma Pynes 2027 Madison Rider 2027 Sabrina Boyer

These ladies had an amazing time at Tennessee Softball camp! Huge thank you to Karen Weekly, Craig Snider 🍊, and Stephanie Sanders for putting on such a great experience! Tampa Mustangs Rene- Pynes 16U will be at T25 in Dalton, GA this weekend — Game 1 at 2:00 PM on Field 5, and Game 2 at 8:00 PM on Field 6. 2027 Gracyn Needle 2027 2027 Emma Pynes 2027 Madison Rider 2027 Sabrina Boyer

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12,151 次观看 • 1 年前

RHP Jackson Fulginite (MA) is a name to circle in the 2027 class ⤵️ Good athlete at 5-foot-11 160 lbs w/ plenty of room to add strength Ball jumps out of the hand, up to 90 FB: 88-89 T90 SL: 74-75 Shooter Hunt | Scorpions Baseball | Prep Baseball New England

RHP Jackson Fulginite (MA) is a name to circle in the 2027 class ⤵️ Good athlete at 5-foot-11 160 lbs w/ plenty of room to add strength Ball jumps out of the hand, up to 90 FB: 88-89 T90 SL: 74-75 Shooter Hunt | Scorpions Baseball | Prep Baseball New England

Connor Holdren

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Few people have lived a golf life as rich as Jimmy Dunne. And we covered a lot of it in our latest podcast. Here are 10 great moments from the episode: 00:01:56 - Buying the Muirfield captain’s desk for his office 00:06:21 - Introduced to Shinnecock by painting a member’s house 00:10:21 - Jimmy’s methodology for ranking golf courses 00:13:41 - 63 at Shinnecock with a driver he bought on the range 00:23:11 - How he got into the best clubs in the world 00:32:40 - The secret to making friends on the range at The Masters 00:38:39 - What he would’ve done differently with the PGA Tour 00:43:16 - The courses still on his bucket list 00:44:17 - The time he forgot he was a member at Portrush 00:49:35 - Rapid fire opinions on golf courses TGJ Podcast #212, presented by Titleist

Few people have lived a golf life as rich as Jimmy Dunne. And we covered a lot of it in our latest podcast. Here are 10 great moments from the episode: 00:01:56 - Buying the Muirfield captain’s desk for his office 00:06:21 - Introduced to Shinnecock by painting a member’s house 00:10:21 - Jimmy’s methodology for ranking golf courses 00:13:41 - 63 at Shinnecock with a driver he bought on the range 00:23:11 - How he got into the best clubs in the world 00:32:40 - The secret to making friends on the range at The Masters 00:38:39 - What he would’ve done differently with the PGA Tour 00:43:16 - The courses still on his bucket list 00:44:17 - The time he forgot he was a member at Portrush 00:49:35 - Rapid fire opinions on golf courses TGJ Podcast #212, presented by Titleist

The Golfer's Journal

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Ben Davino was LIGHTS OUT at National Duals. Listen to him on The Bader Show 0:40 - Ben started wrestling at the age of 5-6 and cried a lot 2:45 - Consistency and always showing up 3:50 - Goals and state titles 4:55 - COVID and missing the 8th grade state championship 6:40 - Development during COVID and the barn tournament 9:10 - Going in on freestyle 10:00 - Experience at U17 World Championships 13:20 - Rebounding from Worlds at WNO 14:00 - Recruiting process 16:15 - Adjusting to college wrestling 17:00 - Deciding to redshirt 19:30 - Improving mentally 21:15 - Mental reps are just as important for improving 23:00 - Watching his practices afterward 24:00 - National Duals 25:55 - Prepping for Iowa and Drake Ayala 27:00 - Learning to keep things simple 29:00 - Watching Bouzakis get a pin against Iowa 30:50 - Breaking down his win over Drake Ayala 36:55 - Dual meets are awesome! 39:10 - What makes Jesse Mendez great? 41:30 - Potential eventual match with Lucas Byrd 42:50 - Feeling fresh all season 44:30 - All-time favorite wrestler 45:50 - Wins and whoopins #TheBaderShow Ohio State Wrestling

Ben Davino was LIGHTS OUT at National Duals. Listen to him on The Bader Show 0:40 - Ben started wrestling at the age of 5-6 and cried a lot 2:45 - Consistency and always showing up 3:50 - Goals and state titles 4:55 - COVID and missing the 8th grade state championship 6:40 - Development during COVID and the barn tournament 9:10 - Going in on freestyle 10:00 - Experience at U17 World Championships 13:20 - Rebounding from Worlds at WNO 14:00 - Recruiting process 16:15 - Adjusting to college wrestling 17:00 - Deciding to redshirt 19:30 - Improving mentally 21:15 - Mental reps are just as important for improving 23:00 - Watching his practices afterward 24:00 - National Duals 25:55 - Prepping for Iowa and Drake Ayala 27:00 - Learning to keep things simple 29:00 - Watching Bouzakis get a pin against Iowa 30:50 - Breaking down his win over Drake Ayala 36:55 - Dual meets are awesome! 39:10 - What makes Jesse Mendez great? 41:30 - Potential eventual match with Lucas Byrd 42:50 - Feeling fresh all season 44:30 - All-time favorite wrestler 45:50 - Wins and whoopins #TheBaderShow Ohio State Wrestling

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12,134 次观看 • 9 个月前

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25,997 次观看 • 2 个月前

$New episode with the incredible former PepsiCo CEO Indra Nooyi - the first woman of color and immigrant to run a Fortune 50 company. In this conversation, Indra discusses the stories behind her rise to the top of one of the world's largest companies. From early days at the Boston Consulting Group using satellite photos to analyze competitor facilities, to personally tracking 400 potential executives as CEO, Indra reveals the granular thinking that separates great leaders from good ones. Her "zoom in, zoom out" philosophy transformed how she understood business — from the "right side of the decimal" where even a fraction of a penny matters across millions of transactions, to setting company strategy at 30,000 feet. She explains why most leaders fail because they don't understand their business at the most granular level. But perhaps most powerful is her candid discussion about the reality of being a working mother in the C-suite where she argues there is no such thing as work-life balance. Watch now for a masterclass in leadership, strategy, and the sacrifices required to reach the top. (00:02:37) Growing Up In India (00:04:38) USA Culture Shock (00:09:54) Lessons From Working In Consulting (00:14:13) Right Side Of The Decimal Lesson (00:16:59) Lessons From Working In Consulting PT 2 (00:20:39) Delivering A Message That Gets Heard (00:23:19) Developing Talent (00:26:46) How To Minimize Office Politics (00:29:14) Power And Humility In Life (00:31:53) Prioritizing Work Over Family / Finding Balance (00:37:39) Turnover After A CEO Change (00:41:09) CEO Vs Board Member (00:44:41) Implementable Change In A Company (00:47:00) Removing Friction Instead Of Using Force (00:48:46) Lessons From Amazon (00:50:36) Leading Through Crisis (00:54:01) Dealing With Activist Investors (00:57:20) Women As CEOS (00:58:40) Equality of Opportunity (01:02:32) Bias In Performance Reviews (01:04:09) Almost Quitting PepsiCo (01:05:48) What I Learned From Steve Jobs (01:10:35) Lessons From Costco And Walmart (01:18:43) Secrets to PepsiCo Merchandising (01:20:59) Making Decisions At A Multi Billion Dollar Company (01:22:40) Lessons From Acquisitions (01:25:52) Traits Of A High Performing Employee (01:27:44) Remote Work Vs In Office$

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114,125 次观看 • 1 年前

Shredding the Deep State with DataRepublican | Going Rogue with Lara Logan | Episode 95 Why Tech Nerd DataRepublican is Such a Threat to America’s Enemies Jennica Pounds is the data analyst known on X as DataRepublican. She is a deaf database engineer and mother who rose to prominence after accurately predicting Donald Trump’s 2024 victory through direct voting data analysis, at a time when most polls and experts were wrong. She later assisted DOGE efforts by building a website that enables text searches inside government award descriptions and maps money flows through the NGO industrial complex. Those networks involve figures like George Soros as well as groups tied to USAID and activist funding. In her book 'Unelected' she argues that the real power structure is a self-reinforcing system of “everyone and no one.” Throughout it all, she has navigated doxxing, public scrutiny, and personal cost, drawing strength from her Christian faith and using AI-enhanced tools that have given her a public voice for the first time. 00:00:00 – Who Really Runs the System? 00:00:29 – Introducing Data Republican 00:05:20 – Unelected: Why She Fought the Machine 00:08:00 – Connecting the Dots: Soros, Singham & the Networks 00:10:00 – The Visionary Machine: Reflexivity Explained 00:15:30 – Color Revolutions and the Battle for the Mind 00:17:50 – How the Data Saw What the Experts Missed 00:25:50 – From Elections to DOGE: Building the Search Tool 00:29:00 – The NGO Industrial Complex Exposed 00:36:10 – 400 Years Back: Enlightenment Seeds of the Blob 00:40:00 – Everyone and No One: How the Cycle Sustains Itself 00:48:00 – When Reality Breaks the Dogma 00:53:00 – The Debt Reckoning and the End of the Cycle 00:58:00 – Faith, Family, and Finding a Voice DataRepublican (small r) | Going Rogue with Lara Logan

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299,758 次观看 • 12 小时前

Ludvig Åberg breaks down his strategy for every hole at Augusta National in TGJ Podcast #207: 00:01:11 But first, some LEGO talk. 00:10:52 No. 1: The hardest pin on the course. 00:14:42 No. 2: Left is dead, so you have to love the bunker. 00:18:36 No. 3: "I've got trust issues with banking it into the hill." 00:22:49 No. 4: The most visually deceptive hole at Augusta. 00:25:02 No. 5: "It's long and has one of the hardest greens." 00:27:07 No. 6: Hit it high to fit the swirling wind 00:29:46 No. 7: The simplest hole, but only if you hit the fairway. 00:31:22 No. 8: More uphill than you think. 00:33:31 No. 9: "It sets up for a low cut or low skank." 00:39:04 No. 10: The left side of the fairway is the place to be. 00:41:56 No. 11: "If I could ever take back one shot, it'd be here." 00:43:50 No. 12: Limit the external factors as much as you can. 00:48:23 No. 13: Ludvig is a reformed doubter of the pull of Rae's Creek. 00:52:15 No. 14: It's birdie or bust. 00:54:20 No. 15: The layup debate in the caddie room is real. 00:57:56 No. 16: "The highlights make the left pin look automatic. It’s not." 00:59:26 No. 17: Rae's Creek has some mythical pull up here too. 01:01:15 No. 18: Rory's winning putt was harder than you think. 01:07:57 The last book Ludvig read is exactly what you'd expect.

Ludvig Åberg breaks down his strategy for every hole at Augusta National in TGJ Podcast #207: 00:01:11 But first, some LEGO talk. 00:10:52 No. 1: The hardest pin on the course. 00:14:42 No. 2: Left is dead, so you have to love the bunker. 00:18:36 No. 3: "I've got trust issues with banking it into the hill." 00:22:49 No. 4: The most visually deceptive hole at Augusta. 00:25:02 No. 5: "It's long and has one of the hardest greens." 00:27:07 No. 6: Hit it high to fit the swirling wind 00:29:46 No. 7: The simplest hole, but only if you hit the fairway. 00:31:22 No. 8: More uphill than you think. 00:33:31 No. 9: "It sets up for a low cut or low skank." 00:39:04 No. 10: The left side of the fairway is the place to be. 00:41:56 No. 11: "If I could ever take back one shot, it'd be here." 00:43:50 No. 12: Limit the external factors as much as you can. 00:48:23 No. 13: Ludvig is a reformed doubter of the pull of Rae's Creek. 00:52:15 No. 14: It's birdie or bust. 00:54:20 No. 15: The layup debate in the caddie room is real. 00:57:56 No. 16: "The highlights make the left pin look automatic. It’s not." 00:59:26 No. 17: Rae's Creek has some mythical pull up here too. 01:01:15 No. 18: Rory's winning putt was harder than you think. 01:07:57 The last book Ludvig read is exactly what you'd expect.

The Golfer's Journal

157,909 次观看 • 4 个月前

My conversation with OpenAI co-founder Greg Brockman This is the most detailed first-person account of the 72 hours after Sam Altman was fired. We also go deep on what comes next: the global race to AGI, why ChatGPT stopped showing reasoning, how much of OpenAI's own code is now written by AI ("it's hard to know what percent is not"), and the untold story of how OpenAI actually started in 2015. 00:00:00 Introduction 00:00:49 Meeting Sam Altman and Starting OpenAI 00:02:40 Building the Founding Team 00:04:25 DeepMind's Lead Over OpenAI 00:04:54 Changing OpenAI to a For-Profit Model 00:06:05 Breakthrough Moments at OpenAI 00:08:22 What Dota 2 Meant for OpenAI 00:10:04 Reasoning Versus Prediction 00:11:59 Tensions Grow at OpenAI 00:15:44 Sam Altman's Firing 00:17:49 Greg Quits OpenAI 00:19:56 Sam Explores Deal with Microsoft's Satya 00:20:28 Petition for Altman's Return 00:23:43 Ilya Sutskever Leaves OpenAI 00:24:59 Lessons Learned after Sam Ousting 00:28:22 The Thing Ilya Said that Greg Can't Forget 00:32:22 Is AI Going Parabolic? 00:33:24 How Much of OpenAI's Code is Written by AI? 00:36:21 Do AI Chatbots Tell Us What We Want to Hear? 00:38:06 The Global AI Race to Reach AGI 00:38:40 What Happens if US Doesn't Reach AGI First? 00:39:49 Are Countries Stealing AI Advancements? 00:40:38 Why ChatGPT No Longer Shows Reasoning 00:41:47 The Finite Constraints of Compute 00:43:38 On Investing Early in Data Centers 00:46:31 The Future of Data Center Specialization 00:47:52 How to Decide Whose Queries to Serve 00:49:08 OpenAI on Consumer vs Enterprise Models 00:53:05 Data Centers in Space? 01:00:56 What Should AI Regulation Look Like? 01:04:33 The Future of AI-Powered Entrepreneurship 01:04:44 AI and Job Loss 01:07:15 The Skills Young People Should Invest In 01:11:30 What Does Success Look Like For You? Full episode on X below. Also find it on: • YouTube: • Spotify: • Apple:

My conversation with OpenAI co-founder Greg Brockman This is the most detailed first-person account of the 72 hours after Sam Altman was fired. We also go deep on what comes next: the global race to AGI, why ChatGPT stopped showing reasoning, how much of OpenAI's own code is now written by AI ("it's hard to know what percent is not"), and the untold story of how OpenAI actually started in 2015. 00:00:00 Introduction 00:00:49 Meeting Sam Altman and Starting OpenAI 00:02:40 Building the Founding Team 00:04:25 DeepMind's Lead Over OpenAI 00:04:54 Changing OpenAI to a For-Profit Model 00:06:05 Breakthrough Moments at OpenAI 00:08:22 What Dota 2 Meant for OpenAI 00:10:04 Reasoning Versus Prediction 00:11:59 Tensions Grow at OpenAI 00:15:44 Sam Altman's Firing 00:17:49 Greg Quits OpenAI 00:19:56 Sam Explores Deal with Microsoft's Satya 00:20:28 Petition for Altman's Return 00:23:43 Ilya Sutskever Leaves OpenAI 00:24:59 Lessons Learned after Sam Ousting 00:28:22 The Thing Ilya Said that Greg Can't Forget 00:32:22 Is AI Going Parabolic? 00:33:24 How Much of OpenAI's Code is Written by AI? 00:36:21 Do AI Chatbots Tell Us What We Want to Hear? 00:38:06 The Global AI Race to Reach AGI 00:38:40 What Happens if US Doesn't Reach AGI First? 00:39:49 Are Countries Stealing AI Advancements? 00:40:38 Why ChatGPT No Longer Shows Reasoning 00:41:47 The Finite Constraints of Compute 00:43:38 On Investing Early in Data Centers 00:46:31 The Future of Data Center Specialization 00:47:52 How to Decide Whose Queries to Serve 00:49:08 OpenAI on Consumer vs Enterprise Models 00:53:05 Data Centers in Space? 01:00:56 What Should AI Regulation Look Like? 01:04:33 The Future of AI-Powered Entrepreneurship 01:04:44 AI and Job Loss 01:07:15 The Skills Young People Should Invest In 01:11:30 What Does Success Look Like For You? Full episode on X below. Also find it on: • YouTube: • Spotify: • Apple:

Shane Parrish

450,952 次观看 • 4 个月前

Here is my conversation with Foresight Institute's Allison Duettmann. She's about as brilliant as it gets; one of those rare polymath futurist Moloch-slaying goddess types, as you'll see. So if you want to solve coordination problems, I highly recommend a listen. Chapters below, and give her a follow at Allison Duettmann 2:18 - Existential Hope 5:45 - Utopian vs Dystopian Art 11:00 - The Story Circle 16:03 - Naturalistic Arguments vs Transhumanism 25:29 - Foresight Institute 27:46 - World-building Hackathons 33:20 - Pareto-topia 35:24 - How to make win-wins more obvious? 41:02 - Building Cooperation in Society 45:38 - Avoiding 1984 50:58 - Building the Third Attractor 1:11:00 - Crypto Solutions to Tragedy of Commons 1:15:56 - Prediction markets 1:21:00 - AGI & the Cooperation Game 1:28:00 - Super Rationality 1:32:48 -Advice to Listeners 1:41:31 - Favorite Games 1:44:14 - Rapid fire Predictions

Here is my conversation with Foresight Institute's Allison Duettmann. She's about as brilliant as it gets; one of those rare polymath futurist Moloch-slaying goddess types, as you'll see. So if you want to solve coordination problems, I highly recommend a listen. Chapters below, and give her a follow at Allison Duettmann 2:18 - Existential Hope 5:45 - Utopian vs Dystopian Art 11:00 - The Story Circle 16:03 - Naturalistic Arguments vs Transhumanism 25:29 - Foresight Institute 27:46 - World-building Hackathons 33:20 - Pareto-topia 35:24 - How to make win-wins more obvious? 41:02 - Building Cooperation in Society 45:38 - Avoiding 1984 50:58 - Building the Third Attractor 1:11:00 - Crypto Solutions to Tragedy of Commons 1:15:56 - Prediction markets 1:21:00 - AGI & the Cooperation Game 1:28:00 - Super Rationality 1:32:48 -Advice to Listeners 1:41:31 - Favorite Games 1:44:14 - Rapid fire Predictions

Liv Boeree

38,280 次观看 • 1 年前

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 次观看 • 8 个月前

Ivan Raiklin NAMES The Deep State, J6, & Stolen Election Conspirators! ⏲️ TIME STAMPS ⏲️ 0:00 : Preview… 11:00 : Show begins!🔥 - Quick Announcements 13:00 : Who is Ivan Raiklin? 15:00 : Mark Zuckerberg admitted to gen0c!de & stealing 2020 elections 17:00 : Who is the Deep State? 23:00 : Working at the Ukraine crisis team in 2014 29:30 : Hunter Biden 41:00 : Every Presidential Findings leads to CIA covert action 47:00 : The Deep State went after General Flynn & coerced him into a guilty plea 51:00 : What prompted Ivan to expose the Deep State? 56:00 : Exposing Catherine Semen & Josh Pitc0ck 1:01:00 : Sponsor - Rumble Premium / We’ll stream on Rumble & Twitch exclusively from next week 1:04:00 : Summary of the show & Deep State connection with the CIA 1:09:00 : Viral Video of Ivan - Calling Deep State by name 1:19:00 : C0v!D va**!ne = DNA mutilation / 80,000+ soldiers left the military because of the mandate 1:27:00 : Exposing Jim Baker of FBI & Mike Pence 1:31:00 : TDS - Trump Derangement Syndrome 1:33:00 : The Speaker of The House is the most powerful person on the planet 1:37:00 : Why are the JFK files still not declassified? 1:40:00 : How the Deep State manipulates the politicians 1:42:00 : Thomas Massie 1:44:00 : How is Ivan still alive? 1:48:30 : Sponsor - BeNaked (Guest gets naked for the ad💀😂) 1:51:30 : January 6th riots & never seen before details 2:07:00 : Black privilege 2:08:00 : Ivan goes after the J6 coverup committee 2:14:00 : Jack Smith is an idiot 2:16:00 : How they violated the constitution & stole the 2020 elections 2:34:00 : LinkedIn kicked out Ivan for running as a Republican 2:37:00 : 12th Amendment - The house will decide who the president is 2:54:00 : Did Mike Pence knew about all of this? 2:56:00 : Mike Pence planned a trip to Isr@el starting January 6th 3:05:30 : The only way Nancy Pelosi can stop the guaranteed re-election 3:08:00 : Sponsor - 1775 Coffee 3:10:00 : Mike Pence role on January 6th 3:19:00 : Myron gets his mind blown 3:22:30 : Mike Pence’s letter on Jan 6 3:27:00 : Trump is bringing in all the snakes who didn’t support him before 3:32:00 : How the January 6th Feds ressurection took place 3:39:30 : Who is Yogananda Pittman

Ivan Raiklin NAMES The Deep State, J6, & Stolen Election Conspirators! ⏲️ TIME STAMPS ⏲️ 0:00 : Preview… 11:00 : Show begins!🔥 - Quick Announcements 13:00 : Who is Ivan Raiklin? 15:00 : Mark Zuckerberg admitted to gen0c!de & stealing 2020 elections 17:00 : Who is the Deep State? 23:00 : Working at the Ukraine crisis team in 2014 29:30 : Hunter Biden 41:00 : Every Presidential Findings leads to CIA covert action 47:00 : The Deep State went after General Flynn & coerced him into a guilty plea 51:00 : What prompted Ivan to expose the Deep State? 56:00 : Exposing Catherine Semen & Josh Pitc0ck 1:01:00 : Sponsor - Rumble Premium / We’ll stream on Rumble & Twitch exclusively from next week 1:04:00 : Summary of the show & Deep State connection with the CIA 1:09:00 : Viral Video of Ivan - Calling Deep State by name 1:19:00 : C0v!D va**!ne = DNA mutilation / 80,000+ soldiers left the military because of the mandate 1:27:00 : Exposing Jim Baker of FBI & Mike Pence 1:31:00 : TDS - Trump Derangement Syndrome 1:33:00 : The Speaker of The House is the most powerful person on the planet 1:37:00 : Why are the JFK files still not declassified? 1:40:00 : How the Deep State manipulates the politicians 1:42:00 : Thomas Massie 1:44:00 : How is Ivan still alive? 1:48:30 : Sponsor - BeNaked (Guest gets naked for the ad💀😂) 1:51:30 : January 6th riots & never seen before details 2:07:00 : Black privilege 2:08:00 : Ivan goes after the J6 coverup committee 2:14:00 : Jack Smith is an idiot 2:16:00 : How they violated the constitution & stole the 2020 elections 2:34:00 : LinkedIn kicked out Ivan for running as a Republican 2:37:00 : 12th Amendment - The house will decide who the president is 2:54:00 : Did Mike Pence knew about all of this? 2:56:00 : Mike Pence planned a trip to Isr@el starting January 6th 3:05:30 : The only way Nancy Pelosi can stop the guaranteed re-election 3:08:00 : Sponsor - 1775 Coffee 3:10:00 : Mike Pence role on January 6th 3:19:00 : Myron gets his mind blown 3:22:30 : Mike Pence’s letter on Jan 6 3:27:00 : Trump is bringing in all the snakes who didn’t support him before 3:32:00 : How the January 6th Feds ressurection took place 3:39:30 : Who is Yogananda Pittman

Myron Gaines

110,419 次观看 • 1 年前

"You just can't build a slow, expensive blockchain anymore." Solana founder toly 🇺🇸 built a $47 billion network from an idea he couldn't sleep on. Two coffees and a beer at Cafe du Soleil in 2017, and he was up until 4 a.m., figuring out how to use proof of work to measure time. His parents escaped the USSR in the 90s with $50 to their name and landed in Chicago in their 40s. His mom was a pianist. His dad was a civil engineer who took blue-collar roofing jobs while getting his electrician certificates. His son did the circuit analysis homework for him. That 4 a.m. idea became proof of history, the core mechanism behind Solana. In this episode: 00:00:00 Trailer 00:01:06 Intro 00:01:17 Growing up in the Soviet Union 00:04:02 Immigrating to the United States 00:07:34 Career dreams and studying computer science 00:09:47 First startup and early lessons 00:11:19 13 years at Qualcomm 00:22:32 Meeting Raj and founding Solana 00:26:44 Fundraising and early investors 00:28:41 Surviving the FTX collapse 00:40:19 Solana's mission and impact 00:43:54 Using AI to run side projects 00:49:39 Hardest decisions as a leader 00:52:51 Outlook on crypto and Solana's future 00:59:22 Twitter, being public, and politics 01:05:52 Beliefs on human nature and life philosophy 01:09:34 Outro Full episode:

"You just can't build a slow, expensive blockchain anymore." Solana founder toly 🇺🇸 built a $47 billion network from an idea he couldn't sleep on. Two coffees and a beer at Cafe du Soleil in 2017, and he was up until 4 a.m., figuring out how to use proof of work to measure time. His parents escaped the USSR in the 90s with $50 to their name and landed in Chicago in their 40s. His mom was a pianist. His dad was a civil engineer who took blue-collar roofing jobs while getting his electrician certificates. His son did the circuit analysis homework for him. That 4 a.m. idea became proof of history, the core mechanism behind Solana. In this episode: 00:00:00 Trailer 00:01:06 Intro 00:01:17 Growing up in the Soviet Union 00:04:02 Immigrating to the United States 00:07:34 Career dreams and studying computer science 00:09:47 First startup and early lessons 00:11:19 13 years at Qualcomm 00:22:32 Meeting Raj and founding Solana 00:26:44 Fundraising and early investors 00:28:41 Surviving the FTX collapse 00:40:19 Solana's mission and impact 00:43:54 Using AI to run side projects 00:49:39 Hardest decisions as a leader 00:52:51 Outlook on crypto and Solana's future 00:59:22 Twitter, being public, and politics 01:05:52 Beliefs on human nature and life philosophy 01:09:34 Outro Full episode:

luba yudasina

260,786 次观看 • 1 个月前

I'm often asked for the best public example of AI evals done right for a real, production product. I finally have an answer. Teresa Torres shares how she shipped an AI interview coach, and used evals to rapidly squash bugs and improve the product. Teresa shows how she: 1. did error analysis FIRST to find real issues (instead of using generic metrics) 😍 2. used Jupyter notebooks to analyze errors 3. built custom annotation tools + custom widgets in notebooks 4. built a LLM-judge and assertions to test for specific errors 5. iterated through this feedback loop until it worked. 6. kept things simple the whole time It's also probably the best commercial for Jupyter notebooks you can imagine. 🥰 Chapter summary below. Link to YT in next thread 00:00:00 - Intro 00:01:45 - The Product: Building an AI Interview Coach 00:06:34 - The Problem: How Do I Know if My AI Coach is Any Good? 00:10:15 - Using Airtable for Traces and Annotation 00:12:15 - Discovering Jupyter Notebooks and Designing the First Evals 00:15:15 - Example Evals: LLM-as-Judge vs. Code-Based Assertions 00:21:00 - Learning Python with ChatGPT to Analyze Eval Results 00:31:00 - VS Code, Custom Tools, and an Eval Investigation Notebook 00:39:45 - Building a Custom Annotation Tool with Claude 00:41:00 - From Personal Project to Production App 00:46:02 - How Should PMs and Engineers Collaborate on AI Products? 00:55:45 - Q&A: Capturing Feedback and Annotations from End Users 00:58:11 - Q&A: Is a Technical Background Necessary to Build AI? 01:02:28 - Q&A: What's Next for Teresa? 01:03:13 - Q&A: Unpacking the Micro-Decisions of Building an AI App

I'm often asked for the best public example of AI evals done right for a real, production product. I finally have an answer. Teresa Torres shares how she shipped an AI interview coach, and used evals to rapidly squash bugs and improve the product. Teresa shows how she: 1. did error analysis FIRST to find real issues (instead of using generic metrics) 😍 2. used Jupyter notebooks to analyze errors 3. built custom annotation tools + custom widgets in notebooks 4. built a LLM-judge and assertions to test for specific errors 5. iterated through this feedback loop until it worked. 6. kept things simple the whole time It's also probably the best commercial for Jupyter notebooks you can imagine. 🥰 Chapter summary below. Link to YT in next thread 00:00:00 - Intro 00:01:45 - The Product: Building an AI Interview Coach 00:06:34 - The Problem: How Do I Know if My AI Coach is Any Good? 00:10:15 - Using Airtable for Traces and Annotation 00:12:15 - Discovering Jupyter Notebooks and Designing the First Evals 00:15:15 - Example Evals: LLM-as-Judge vs. Code-Based Assertions 00:21:00 - Learning Python with ChatGPT to Analyze Eval Results 00:31:00 - VS Code, Custom Tools, and an Eval Investigation Notebook 00:39:45 - Building a Custom Annotation Tool with Claude 00:41:00 - From Personal Project to Production App 00:46:02 - How Should PMs and Engineers Collaborate on AI Products? 00:55:45 - Q&A: Capturing Feedback and Annotations from End Users 00:58:11 - Q&A: Is a Technical Background Necessary to Build AI? 01:02:28 - Q&A: What's Next for Teresa? 01:03:13 - Q&A: Unpacking the Micro-Decisions of Building an AI App

Hamel Husain

51,376 次观看 • 1 年前

UATX Professor of Religion and Philosophy J.J. Kimche on the Talmud and why it matters. 00:00 — Intro 00:54 — Why this lecture is necessary 02:50 — What is the Talmud? 07:40 — The destruction of Jerusalem 09:46 — Scriptural interpretation 11:23 — The central curriculum of Jewish law, learning, & memory 13:30 — Argument & folklore 16:44 — Anti-Talmudism 19:07 — Why the Talmud can sound strange 20:26 — History's first “yo mama joke" 23:38 — How to read a Talmudic passage 25:37 — What is a Sukkah? 28:55 — Laying out the basic laws 30:59 — Seeking a scriptural source 33:23 — Finding practical differences between interpretations 39:25 — Form vs. material 43:45 — Legal driving age 49:09 — How to think Recorded: June 1, 2026 at UATX.

UATX Professor of Religion and Philosophy J.J. Kimche on the Talmud and why it matters. 00:00 — Intro 00:54 — Why this lecture is necessary 02:50 — What is the Talmud? 07:40 — The destruction of Jerusalem 09:46 — Scriptural interpretation 11:23 — The central curriculum of Jewish law, learning, & memory 13:30 — Argument & folklore 16:44 — Anti-Talmudism 19:07 — Why the Talmud can sound strange 20:26 — History's first “yo mama joke" 23:38 — How to read a Talmudic passage 25:37 — What is a Sukkah? 28:55 — Laying out the basic laws 30:59 — Seeking a scriptural source 33:23 — Finding practical differences between interpretations 39:25 — Form vs. material 43:45 — Legal driving age 49:09 — How to think Recorded: June 1, 2026 at UATX.

University of Austin (UATX)

20,031 次观看 • 1 个月前