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Yeah $TIG is flying under the radar An open protocol for algorithm development listening to John explain how algorithms can optimise & help you extract maximum utility from any given chip DeepMind, OpenAI, Anthropic, they're all racing to own the algorithmic layer if they win, you pay a tax...

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Jack Ai-Leung

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38,463 views • 3 months ago •via X (Twitter)

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Dan Shipper 📧

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Rajat Soni, CFA

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This week, Colin M. McDonald joins us on The Arena. We discuss the Trump Administration’s fight against fraud, U.S. Department of Justice’s brand-new Fraud Division, and the most shocking fraud schemes DOJ has uncovered. 00:00 - Intro 00:36 - Colin McDonald Joins the Show 00:59 - Who Are You and What Do You Do? 02:22 - Why Public Service? 03:25 - Why Be a Prosecutor? 05:50 - What Does a Prosecutor Actually Do? 09:21 - No Prosecution Without Law Enforcement 11:08 - Relentless: Cases That Last Years 12:02 - Turning to Fraud Enforcement 13:06 - Why No One Tackled Fraud Before 13:41 - The Old Binary Choice: Violent Crime vs. Fraud 15:21 - Tallying the True Cost of Fraud 17:10 - Wasteful Spending vs. Outright Theft 19:17 - The Goal Is Deterrence 21:25 - Building Roots, Not a Potted Plant 23:18 - No Fraud Too Big, No Fraud Too Small 25:28 - Fraud Wounds the Soul, Not Just the Wallet 27:36 - Quarterbacking the Fight 28:26 - One Front Door to DOJ 29:38 - A 500-Person Division in Two Weeks 31:13 - A Career Home for Young Lawyers 33:26 - The Ripple Effects of Unchecked Crime 34:24 - Changing the Incentive Structure 35:23 - Which Statutes Do You Enforce? 36:05 - Healthcare Fraud: The Biggest Target 37:00 - The Student Athlete Who Died 38:03 - The Skin Graft Scheme 39:28 - Fraud Robs Dignity, Too 40:49 - Benefit Programs and the Public Trust Section 42:06 - Global Trade and Commerce Enforcement 43:43 - The Many Inspectors General Offices 45:05 - The Most Shocking Cases 45:56 - “Everybody’s Doing This” 46:48 - The Home Care Scam 48:25 - Billing Medicaid From Egypt and Prison 50:22 - Minnesota’s Looted Housing Program 51:27 - Clearing the Decks for the Truly Needy 52:44 - DOJ Is Here to Help 54:14 - Outro

The Arena America First Legal

446,720 views • 21 days ago

Yoshua Bengio thinks he knows how to make provably safe superintelligent agents. Bengio built the foundations of modern AI and is the most cited living scientist. He believes his alternative training setup would: 1. Guarantee honesty 2. Prevent unintended goals 3. Produce capable agents 4. Port over most data and techniques from current LLMs 5. Not be inherently more expensive, and perhaps be more intelligent Bengio claims the honesty and lack of unintended goals can be proven mathematically, at least given particular assumptions. And his new organization, LawZero, is aiming to build a scrappy prototype as soon as possible. The architecture is called 'Scientist AI' and it's based on training a model to explain empirical observations, including what people say, rather than training AIs that mimic human behaviour or seek our approval. (Bengio's frank assessment is that "reinforcement learning is evil" and that allowing AIs to independently train their successors is "the most crazy, dangerous bet that unfortunately we are on track to do.") But skeptics question whether Scientist AI really does solve the fundamental problem of 'eliciting latent knowledge' from AI models. And with the commercial race for superintelligence so intense, it's not clear whether the proposal will be able to compete or have time to bear fruit, even if it's sound in theory. On The 80,000 Hours Podcast, links below – enjoy! • Making AI honest and safe (00:00:00) • Scientist AI in plain English (00:02:27) • How Scientist AI differs from LLMs (00:06:32) • How the training data works (00:14:02) • Can this become an agent? (00:21:02) • Why Yoshua is now more optimistic (00:32:11) • Why companies can’t stop racing (00:36:35) • A working prototype won't take long (00:49:15) • Scientist models might be more capable (00:53:34) • “Reinforcement learning is evil” (01:01:27) • Scientist AI from guardrail to agent (01:08:37) • Can safe AI still be competent? (01:12:38) • How much will this cost? (01:19:29) • Can it generalise beyond maths and science? (01:23:26) • A multi-national push for superintelligence (01:39:19) • Want to work with or fund Yoshua? (01:51:16) • Why smart people ignore AI risk (01:54:45) • Don’t let AI build the next AI (02:01:33) • Why politicians miss the real risks (02:12:28) • Why Yoshua changed his mind about AI risk (02:21:27)
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Yoshua Bengio thinks he knows how to make provably safe superintelligent agents. Bengio built the foundations of modern AI and is the most cited living scientist. He believes his alternative training setup would: 1. Guarantee honesty 2. Prevent unintended goals 3. Produce capable agents 4. Port over most data and techniques from current LLMs 5. Not be inherently more expensive, and perhaps be more intelligent Bengio claims the honesty and lack of unintended goals can be proven mathematically, at least given particular assumptions. And his new organization, LawZero, is aiming to build a scrappy prototype as soon as possible. The architecture is called 'Scientist AI' and it's based on training a model to explain empirical observations, including what people say, rather than training AIs that mimic human behaviour or seek our approval. (Bengio's frank assessment is that "reinforcement learning is evil" and that allowing AIs to independently train their successors is "the most crazy, dangerous bet that unfortunately we are on track to do.") But skeptics question whether Scientist AI really does solve the fundamental problem of 'eliciting latent knowledge' from AI models. And with the commercial race for superintelligence so intense, it's not clear whether the proposal will be able to compete or have time to bear fruit, even if it's sound in theory. On The 80,000 Hours Podcast, links below – enjoy! • Making AI honest and safe (00:00:00) • Scientist AI in plain English (00:02:27) • How Scientist AI differs from LLMs (00:06:32) • How the training data works (00:14:02) • Can this become an agent? (00:21:02) • Why Yoshua is now more optimistic (00:32:11) • Why companies can’t stop racing (00:36:35) • A working prototype won't take long (00:49:15) • Scientist models might be more capable (00:53:34) • “Reinforcement learning is evil” (01:01:27) • Scientist AI from guardrail to agent (01:08:37) • Can safe AI still be competent? (01:12:38) • How much will this cost? (01:19:29) • Can it generalise beyond maths and science? (01:23:26) • A multi-national push for superintelligence (01:39:19) • Want to work with or fund Yoshua? (01:51:16) • Why smart people ignore AI risk (01:54:45) • Don’t let AI build the next AI (02:01:33) • Why politicians miss the real risks (02:12:28) • Why Yoshua changed his mind about AI risk (02:21:27)

Rob Wiblin

65,088 views • 4 months ago

AGI is coming. Reid Hoffman (Reid Hoffman) just wrote the book on how to prepare. According to Reid, every major tech breakthrough (the written word, the printing press, the telephone) triggered mass fear. But, contrary to our worries, new technology tends to enhance human agency—even more so, if you know how to use it well. Reid is the cofounder of LinkedIn, Inflection AI, and Manas, a partner at Greylock Partners, an award-winning podcaster, and an early backer and board member of OpenAI. We spent an hour talking about how to develop a compass for navigating AGI. Here are a few takeaways: - Our sense of human agency is not just about external control but an internal stance—how we approach uncertainty & new tech is crucial - In new technology waves, NO blueprint or plan will have the right answers. Instead, adapting to new technology requires broad access, an experimental mindset, and flexibility - In an AGI world most jobs will transform, not disappear—and how you can prepare with hands-on trial and error - How certain social norms and ethics should change as AGI changes the landscape—like individual access to personal data - Why now may be finally be the era where quantified self tools become valuable …and more, including everything in his new book Superagency, out this week. It was a pleasure to have him on the show for a second time. This is a must-watch for anyone who wants to help build a more human future with AI. Watch below! Timestamps: Introduction: 00:01:29 Patterns in how we’ve historically adopted technology: 00:02:50 Why humans have typically been fearful of new technologies: 00:07:02 How Reid developed his own sense of agency: 00:13:25 The way Reid thinks about making investment decisions: 00:20:08 AI as a “techno-humanist” compass: 00:29:40 How to prepare yourself for the way AI will change knowledge work: 00:35:30 Why equitable access to AI is important: 00:41:39 Reid’s take on why private commons will be beneficial for society: 00:45:15 How AI is making Silicon Valley’s conception of the “quantified self” a reality: 00:47:23 The shift from symbolic to sub-symbolic AI mirrors how we understand intelligence: 00:52:14 Reid’s new book, Superagency: 01:03:29
1:09:23

AGI is coming. Reid Hoffman (Reid Hoffman) just wrote the book on how to prepare. According to Reid, every major tech breakthrough (the written word, the printing press, the telephone) triggered mass fear. But, contrary to our worries, new technology tends to enhance human agency—even more so, if you know how to use it well. Reid is the cofounder of LinkedIn, Inflection AI, and Manas, a partner at Greylock Partners, an award-winning podcaster, and an early backer and board member of OpenAI. We spent an hour talking about how to develop a compass for navigating AGI. Here are a few takeaways: - Our sense of human agency is not just about external control but an internal stance—how we approach uncertainty & new tech is crucial - In new technology waves, NO blueprint or plan will have the right answers. Instead, adapting to new technology requires broad access, an experimental mindset, and flexibility - In an AGI world most jobs will transform, not disappear—and how you can prepare with hands-on trial and error - How certain social norms and ethics should change as AGI changes the landscape—like individual access to personal data - Why now may be finally be the era where quantified self tools become valuable …and more, including everything in his new book Superagency, out this week. It was a pleasure to have him on the show for a second time. This is a must-watch for anyone who wants to help build a more human future with AI. Watch below! Timestamps: Introduction: 00:01:29 Patterns in how we’ve historically adopted technology: 00:02:50 Why humans have typically been fearful of new technologies: 00:07:02 How Reid developed his own sense of agency: 00:13:25 The way Reid thinks about making investment decisions: 00:20:08 AI as a “techno-humanist” compass: 00:29:40 How to prepare yourself for the way AI will change knowledge work: 00:35:30 Why equitable access to AI is important: 00:41:39 Reid’s take on why private commons will be beneficial for society: 00:45:15 How AI is making Silicon Valley’s conception of the “quantified self” a reality: 00:47:23 The shift from symbolic to sub-symbolic AI mirrors how we understand intelligence: 00:52:14 Reid’s new book, Superagency: 01:03:29

Dan Shipper 📧

47,229 views • 1 year ago

all of us use and love Jupiter, but how does one of the biggest DeFi platforms in Solana work under the hood? how do they about their product? what is managing infra at their scale like? how do they optimise performance? shek and Harkirat Singh dive deep into all of this and more with ⚔️ SIONG, cofounder of jupiter in episode #1 of the OnlyDevs pod. the cherry on top? we have two dev bounties using jupiter for you to apply and win $$ from. check out the pod and tweets below to learn more! timestamps: (00:00) intro of the video and bounty announcements (04:50) meet siong! (10:45) scaling user demand (12:40) building a token swap product (19:06) switching from JS to rust (23:08) optimizing algorithms & performance (28:23) open-sourced opportunities (30:02) monetization & decentralization (41:15) UX & adaptation (52:18) expanding solana's dev community
54:00

all of us use and love Jupiter, but how does one of the biggest DeFi platforms in Solana work under the hood? how do they about their product? what is managing infra at their scale like? how do they optimise performance? shek and Harkirat Singh dive deep into all of this and more with ⚔️ SIONG, cofounder of jupiter in episode #1 of the OnlyDevs pod. the cherry on top? we have two dev bounties using jupiter for you to apply and win $$ from. check out the pod and tweets below to learn more! timestamps: (00:00) intro of the video and bounty announcements (04:50) meet siong! (10:45) scaling user demand (12:40) building a token swap product (19:06) switching from JS to rust (23:08) optimizing algorithms & performance (28:23) open-sourced opportunities (30:02) monetization & decentralization (41:15) UX & adaptation (52:18) expanding solana's dev community

Superteam India

16,744 views • 1 year ago

Here's my conversation with Lucas Atkins and the team at Arcee.ai on their path to training and releasing Trinity Large today. From going all in on open models built end to end in the US 6 months ago to having the model in hand is no easy feet. I loved this conversation on how to design a startup around open models and take a bold step to scale it up. I'm openly an Arcee fan, watching them take risk and pull it off. We discuss: - The state (and future) of open vs. closed models, - The business of selling open models for on-prem deployments, - The story of Arcee AI & going “all-in” on this training run, - The ATOM project, - Building frontier model training teams in 6 months, - and other great topics. I really loved this one, and think you well too. Chapters: 00:00:00 Intro: Arcee AI, Trinity Models & Trinity Large 00:08:26 Transitioning a Company to Pre-training 00:13:00 Technical Decisions: Muon and MoE 00:18:41 Scaling and MoE Training Pain 00:23:14 Post-training and RL Strategies 00:28:09 Team Structure and Data Scaling 00:31:31 The Trinity Manifesto: US Open Weights 00:42:31 Specialized Models and Distillation 00:47:12 Infrastructure and Hosting 400B 00:50:53 Open Source as a Business Moat 00:56:31 Predictions: Best Model in 2026 01:02:29 Lightning Round & Conclusions More great open model builder podcasts coming soon!
1:12:15

Here's my conversation with Lucas Atkins and the team at Arcee.ai on their path to training and releasing Trinity Large today. From going all in on open models built end to end in the US 6 months ago to having the model in hand is no easy feet. I loved this conversation on how to design a startup around open models and take a bold step to scale it up. I'm openly an Arcee fan, watching them take risk and pull it off. We discuss: - The state (and future) of open vs. closed models, - The business of selling open models for on-prem deployments, - The story of Arcee AI & going “all-in” on this training run, - The ATOM project, - Building frontier model training teams in 6 months, - and other great topics. I really loved this one, and think you well too. Chapters: 00:00:00 Intro: Arcee AI, Trinity Models & Trinity Large 00:08:26 Transitioning a Company to Pre-training 00:13:00 Technical Decisions: Muon and MoE 00:18:41 Scaling and MoE Training Pain 00:23:14 Post-training and RL Strategies 00:28:09 Team Structure and Data Scaling 00:31:31 The Trinity Manifesto: US Open Weights 00:42:31 Specialized Models and Distillation 00:47:12 Infrastructure and Hosting 400B 00:50:53 Open Source as a Business Moat 00:56:31 Predictions: Best Model in 2026 01:02:29 Lightning Round & Conclusions More great open model builder podcasts coming soon!

Nathan Lambert

26,872 views • 7 months ago

This week, Brett Shumate joins us on The Arena. We discuss fighting fraud, suing hospitals over “gender-affirming care,” judicial overreach, and more. Don’t miss it! 00:00 - Intro 00:17 - AAG Brett Shumate Joins the Show 00:56 - Running the DOJ Civil Division 02:39 - Main Justice vs. the U.S. Attorney's Offices 04:36 - DOJ: The Law Firm for America 06:15 - The False Claims Act and Fraud Enforcement 10:23 - How Whistleblowers Can Fight Fraud 13:37 - Using the False Claims Act Against Corporate DEI 14:34 - Suing Hospitals Over “Gender-Affirming Care'” 19:31 - What's Changed Since the First Trump Term 22:40 - Managing a Hostile Bureaucracy 24:25 - Reviving Denaturalization Cases 27:41 - The Marriage Analogy for Citizenship Fraud 29:30 - Judges and the “Presumption of Regularity” 33:24 - When Judges Overreach 36:19 - Zealous Advocacy: DOJ's Duty to Defend 40:07 - Career Advice: Don't Be Afraid to Take Risks 44:02 - Why Join the DOJ Civil Division 47:23 - Bad Legal Takes! 47:32 - Matthew Colangelo and the Trump Prosecutions 52:49 - Outro
53:21

This week, Brett Shumate joins us on The Arena. We discuss fighting fraud, suing hospitals over “gender-affirming care,” judicial overreach, and more. Don’t miss it! 00:00 - Intro 00:17 - AAG Brett Shumate Joins the Show 00:56 - Running the DOJ Civil Division 02:39 - Main Justice vs. the U.S. Attorney's Offices 04:36 - DOJ: The Law Firm for America 06:15 - The False Claims Act and Fraud Enforcement 10:23 - How Whistleblowers Can Fight Fraud 13:37 - Using the False Claims Act Against Corporate DEI 14:34 - Suing Hospitals Over “Gender-Affirming Care'” 19:31 - What's Changed Since the First Trump Term 22:40 - Managing a Hostile Bureaucracy 24:25 - Reviving Denaturalization Cases 27:41 - The Marriage Analogy for Citizenship Fraud 29:30 - Judges and the “Presumption of Regularity” 33:24 - When Judges Overreach 36:19 - Zealous Advocacy: DOJ's Duty to Defend 40:07 - Career Advice: Don't Be Afraid to Take Risks 44:02 - Why Join the DOJ Civil Division 47:23 - Bad Legal Takes! 47:32 - Matthew Colangelo and the Trump Prosecutions 52:49 - Outro

The Arena America First Legal

1,005,647 views • 1 month ago

Bitcoin just had its largest week in history. Jordi Visser and I discuss what happened, why the rally should be sustainable, and what to expect from bitcoin going forward. We also break down the collision of AI and crypto, why bitcoin is the purest AI trade, Stripe and Ramp's battle to control AI model routers, and how to think about sizing bitcoin in your portfolio. YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 1:02 - Bitcoin's weekly surge & the "sigma week" behind it 5:38 - The bitcoin vibe shift & intersection with AI 15:26 - Is multiple compression a warning sign for the market? 19:03 - How much bitcoin should be in your portfolio? 23:27 - Moderna, AI & the future of biotech 29:20 - Stripe's OpenRouter deal & the fight for AI model routers 34:13 - Are model routers a threat to Anthropic and OpenAI? 44:00 - Why people fear data centers more than nuclear plants 54:46 - Jordi's bitcoin call to arms
58:23

Bitcoin just had its largest week in history. Jordi Visser and I discuss what happened, why the rally should be sustainable, and what to expect from bitcoin going forward. We also break down the collision of AI and crypto, why bitcoin is the purest AI trade, Stripe and Ramp's battle to control AI model routers, and how to think about sizing bitcoin in your portfolio. YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 1:02 - Bitcoin's weekly surge & the "sigma week" behind it 5:38 - The bitcoin vibe shift & intersection with AI 15:26 - Is multiple compression a warning sign for the market? 19:03 - How much bitcoin should be in your portfolio? 23:27 - Moderna, AI & the future of biotech 29:20 - Stripe's OpenRouter deal & the fight for AI model routers 34:13 - Are model routers a threat to Anthropic and OpenAI? 44:00 - Why people fear data centers more than nuclear plants 54:46 - Jordi's bitcoin call to arms

Anthony Pompliano 🌪

286,327 views • 16 days ago

How does math research change when the cost of trying your first dumb idea goes to zero? Daniel Litt joins Greg Burnham and Anson Ho to discuss what today’s models can and can’t do in math, and how far they are from doing high-quality research. 0:00:00 What's the hardest math problem AI can solve today? 00:16:08 How helpful are today’s AI models for math research? 00:23:36 Junk papers, LLM-generated proofs, and the refereeing crisis 00:27:21 AI enables searching through problems at scale 00:33:49 When will AI be good enough to publish in top math journals? 00:42:15 What are the returns to intelligence? 00:59:50 Will AI solve Millennium problems? 01:11:54 Is math full of low-hanging fruit? 01:18:47 How Daniel has adapted his professional life to AI progress 01:25:28 What do AI math benchmarks actually measure? 01:33:05 Designing the Open Problems benchmark 01:56:35 Do mathematicians believe heuristic arguments about conjectures? 02:01:24 What if FrontierMath: Open Problems gets solved? 02:06:53 Is AI on the cusp of accelerating math progress?
2:10:59

How does math research change when the cost of trying your first dumb idea goes to zero? Daniel Litt joins Greg Burnham and Anson Ho to discuss what today’s models can and can’t do in math, and how far they are from doing high-quality research. 0:00:00 What's the hardest math problem AI can solve today? 00:16:08 How helpful are today’s AI models for math research? 00:23:36 Junk papers, LLM-generated proofs, and the refereeing crisis 00:27:21 AI enables searching through problems at scale 00:33:49 When will AI be good enough to publish in top math journals? 00:42:15 What are the returns to intelligence? 00:59:50 Will AI solve Millennium problems? 01:11:54 Is math full of low-hanging fruit? 01:18:47 How Daniel has adapted his professional life to AI progress 01:25:28 What do AI math benchmarks actually measure? 01:33:05 Designing the Open Problems benchmark 01:56:35 Do mathematicians believe heuristic arguments about conjectures? 02:01:24 What if FrontierMath: Open Problems gets solved? 02:06:53 Is AI on the cusp of accelerating math progress?

Epoch AI

178,703 views • 7 months ago

🚨New Episode: Please welcome Shiloe Bear to the Fort! As the founder of Creek Development, Shiloe has completed 63 commercial redevelopment projects and 5 land entitlement plays in the San Francisco Bay Area. Leveraging her deep construction expertise, she challenges project assumptions and incorporates impactful design to achieve remarkable outcomes for her clients and investors. We discuss: - Building Creek as an outsourced developer - Converting industrial buildings into biotech lab space - A deep dive into the Bay Area RE market - Why design is such an important aspect of development 00:00:00 - Intro 00:01:11 - Shiloe’s upbringing and journey to doing development in the Bay Area 00:08:25 - What are the projects you work on the most? 00:11:01 - Why is there such a demand for outsourced development? 00:11:47 - What makes your firm different? 00:16:50 - Minimum Viable Projects 00:21:47 - How early in a project do you need to be brought in? 00:25:14 - What are some obvious parts of a project where you can save money? 00:27:30 - How would you describe the Bay Area market right now? 00:33:35 - Office to Residential 00:37:46 - What’s the environment like for Oakland? 00:42:31 - How Shiloe is planning to pivot her business into doing their own developments 00:47:51 - How important are the relationships you’ve developed in The Bay over the past 10 years? 00:53:06 - The BioTech market and development strategy 01:00:55 - Why design matters 01:08:27 - How far out are labs looking for space? 01:09:46 - Lenders, Leases, and hold periods 01:12:36 - Why did this become your niche? 01:14:13 - Shiloe’s bird-watching skills & long-distance running
1:17:35

🚨New Episode: Please welcome Shiloe Bear to the Fort! As the founder of Creek Development, Shiloe has completed 63 commercial redevelopment projects and 5 land entitlement plays in the San Francisco Bay Area. Leveraging her deep construction expertise, she challenges project assumptions and incorporates impactful design to achieve remarkable outcomes for her clients and investors. We discuss: - Building Creek as an outsourced developer - Converting industrial buildings into biotech lab space - A deep dive into the Bay Area RE market - Why design is such an important aspect of development 00:00:00 - Intro 00:01:11 - Shiloe’s upbringing and journey to doing development in the Bay Area 00:08:25 - What are the projects you work on the most? 00:11:01 - Why is there such a demand for outsourced development? 00:11:47 - What makes your firm different? 00:16:50 - Minimum Viable Projects 00:21:47 - How early in a project do you need to be brought in? 00:25:14 - What are some obvious parts of a project where you can save money? 00:27:30 - How would you describe the Bay Area market right now? 00:33:35 - Office to Residential 00:37:46 - What’s the environment like for Oakland? 00:42:31 - How Shiloe is planning to pivot her business into doing their own developments 00:47:51 - How important are the relationships you’ve developed in The Bay over the past 10 years? 00:53:06 - The BioTech market and development strategy 01:00:55 - Why design matters 01:08:27 - How far out are labs looking for space? 01:09:46 - Lenders, Leases, and hold periods 01:12:36 - Why did this become your niche? 01:14:13 - Shiloe’s bird-watching skills & long-distance running

Chris Powers

64,474 views • 3 years ago

A Physics That Could Finally Unify Reality (Part 2/2) - James Ellias, DemystifySci #385 A quiet tremor sounds beneath the floorboards of physics, the still-living heartbeat of the forgotten search for the hidden substance that carries every wave and whisper of the universe. We walk through the fog of equations and theories of fundamental physics with James Ellias of James Ellias, and ask if there is a material truth lies beneath the symbols, or if we have to be satisfied with the short-sighted vision of mathematics alone. 00:00 Go! 00:04:37 Central Equations in Physics 00:08:20 The Importance of a Medium in Physics 00:10:00 Empowerment Through Understanding Physics 00:12:36 Rationality and Truth in Society 00:16:31 Existence vs Consciousness 00:20:30 Discussion on Existence and Consciousness 00:24:25 Role of Imagination in Existence 00:28:10 Properties and Entities in Physics 00:30:15 The Nature of Aether and Physical Mediums 00:36:08 Clarity and Understanding in Physics 00:40:26 Discussion on Force and Aether 00:44:57 Relationship of Entities and Actions 00:49:30 Theoretical Framework for Aether 00:58:04 Exploration of Aether Theories 01:00:40 Importance of Conciseness in Communication 01:02:00 Understanding Physics Before Proposing Hypotheses 01:05:15 Reevaluation of Flawed Theories 01:09:35 The Evolution of Key Physics Concepts 01:15:19 Context-Specific Nature of Constants 01:19:43 Historical Context in Physics 01:21:36 The Nature of Electrons 01:25:53 J.J. Thomson’s Evolving Perspective 01:29:24 Upcoming Work and Philosophical Frameworks 01:32:11 Collaborations
1:33:44

A Physics That Could Finally Unify Reality (Part 2/2) - James Ellias, DemystifySci #385 A quiet tremor sounds beneath the floorboards of physics, the still-living heartbeat of the forgotten search for the hidden substance that carries every wave and whisper of the universe. We walk through the fog of equations and theories of fundamental physics with James Ellias of James Ellias, and ask if there is a material truth lies beneath the symbols, or if we have to be satisfied with the short-sighted vision of mathematics alone. 00:00 Go! 00:04:37 Central Equations in Physics 00:08:20 The Importance of a Medium in Physics 00:10:00 Empowerment Through Understanding Physics 00:12:36 Rationality and Truth in Society 00:16:31 Existence vs Consciousness 00:20:30 Discussion on Existence and Consciousness 00:24:25 Role of Imagination in Existence 00:28:10 Properties and Entities in Physics 00:30:15 The Nature of Aether and Physical Mediums 00:36:08 Clarity and Understanding in Physics 00:40:26 Discussion on Force and Aether 00:44:57 Relationship of Entities and Actions 00:49:30 Theoretical Framework for Aether 00:58:04 Exploration of Aether Theories 01:00:40 Importance of Conciseness in Communication 01:02:00 Understanding Physics Before Proposing Hypotheses 01:05:15 Reevaluation of Flawed Theories 01:09:35 The Evolution of Key Physics Concepts 01:15:19 Context-Specific Nature of Constants 01:19:43 Historical Context in Physics 01:21:36 The Nature of Electrons 01:25:53 J.J. Thomson’s Evolving Perspective 01:29:24 Upcoming Work and Philosophical Frameworks 01:32:11 Collaborations

Anastasia

13,618 views • 9 months ago

$60 Billion SpaceX Cursor Deal? This week on The Brainstorm ⬇️ 0:00 — SpaceX buying Cursor for $60 B? We think this is the reason why 6:05 — SpaceX has reportedly committed ~$310B in 12 months acquiring its way toward the AI frontier 9:55 — "If you're not getting rate-limited by Claude, you might just be bad at using AI" 12:24 — The compute crunch that could hit in 2 years, and why we think few are pricing it in 15:10 — Tim Cook is out. Could Apple finally be about to start cooking? 18:05 — The AI gap at Apple that, if Microsoft is any guide, could prove costly 20:14 — Why AirPods, not the iPhone, may be Apple's most underrated AI weapon 33:49 — OpenAI is building hardware with Qualcomm. Why we don't think it'll really be a "phone" 40:12 — Why Google could go from paying Apple ~$20B/yr to Apple paying Google
43:20

$60 Billion SpaceX Cursor Deal? This week on The Brainstorm ⬇️ 0:00 — SpaceX buying Cursor for $60 B? We think this is the reason why 6:05 — SpaceX has reportedly committed ~$310B in 12 months acquiring its way toward the AI frontier 9:55 — "If you're not getting rate-limited by Claude, you might just be bad at using AI" 12:24 — The compute crunch that could hit in 2 years, and why we think few are pricing it in 15:10 — Tim Cook is out. Could Apple finally be about to start cooking? 18:05 — The AI gap at Apple that, if Microsoft is any guide, could prove costly 20:14 — Why AirPods, not the iPhone, may be Apple's most underrated AI weapon 33:49 — OpenAI is building hardware with Qualcomm. Why we don't think it'll really be a "phone" 40:12 — Why Google could go from paying Apple ~$20B/yr to Apple paying Google

ARK Invest

64,826 views • 4 months ago

He just quit. He was a primary editor for Diary of a CEO. So I asked him to tell all of his secrets for how he helps the Diary of a CEO be the number 1 podcast on YouTube. 00:00:00 Why Trailers Are Essential for Podcast Growth 00:03:30 Why Most People Are Doing Trailers Wrong 00:06:36 From Film and TV to Diary of a CEO 00:11:48 Retention Rates and What They Actually Mean 00:14:52 What Actually Makes a Podcast Good 00:17:00 Why the Guest Is 50% of Everything 00:22:59 What Makes a Great Podcast Host 00:26:31 Red Flags in Podcast Trailers 00:30:33 The Jefferson Fisher Hook Breakdown 00:34:16 The Louis Tomlinson Hook Breakdown 00:42:35 The 15 Point Checklist for the Perfect Trailer 00:45:28 The Oz Pearlman Hook (41 Second Rule) 00:48:06 The Laughter Track Hack 00:54:11 Sound Design and Visual Details 00:57:04 How to Choose Music Like a Film Director 01:00:02 Disney Imagineering Lesson 01:02:46 The Vanessa Van Edwards Hook Breakdown 01:07:02 The Kevin Hart Narrative Arc Breakdown 01:16:40 The A-B-C Storytelling Framework 01:20:13 The Easiest Win You Can Implement Right Now 01:22:36 How Diary of a CEO Uses AI
1:30:01

He just quit. He was a primary editor for Diary of a CEO. So I asked him to tell all of his secrets for how he helps the Diary of a CEO be the number 1 podcast on YouTube. 00:00:00 Why Trailers Are Essential for Podcast Growth 00:03:30 Why Most People Are Doing Trailers Wrong 00:06:36 From Film and TV to Diary of a CEO 00:11:48 Retention Rates and What They Actually Mean 00:14:52 What Actually Makes a Podcast Good 00:17:00 Why the Guest Is 50% of Everything 00:22:59 What Makes a Great Podcast Host 00:26:31 Red Flags in Podcast Trailers 00:30:33 The Jefferson Fisher Hook Breakdown 00:34:16 The Louis Tomlinson Hook Breakdown 00:42:35 The 15 Point Checklist for the Perfect Trailer 00:45:28 The Oz Pearlman Hook (41 Second Rule) 00:48:06 The Laughter Track Hack 00:54:11 Sound Design and Visual Details 00:57:04 How to Choose Music Like a Film Director 01:00:02 Disney Imagineering Lesson 01:02:46 The Vanessa Van Edwards Hook Breakdown 01:07:02 The Kevin Hart Narrative Arc Breakdown 01:16:40 The A-B-C Storytelling Framework 01:20:13 The Easiest Win You Can Implement Right Now 01:22:36 How Diary of a CEO Uses AI

Grant

206,363 views • 1 month ago

In this episode of the Lightcone Podcast, we sat down with Mukund Jha and Madhav Jha, the founders of Emergent - an AI platform that lets anyone build and ship production-ready software. In just eight months, users have created more than 7 million apps on Emergent, with the number doubling in just the last 45 days. We discuss how they built one of the most powerful AI coding agents, why they focused on non-technical users and what it's like building for a global audience from India. 00:00 - Intro 01:06 - What Is Emergent? 01:18 - Founder Backstory 02:09 - From AI Testing to General Coding Agents 02:52 - Getting Ahead of the Market 04:18 - The Pivot to Non-Technical Users 05:22 - Why Second Movers Can Win in AI 09:04 - Building for Production, Not Just Prototypes 18:21 - Live Demo: Building Apps with Emergent 24:40 - How Emergent Hires and Runs a Lean Team 29:04 - Is SaaS Dead? The Rise of Personalized Software 34:04 - The Future: Niche Apps, Solo Builders and AI Agency
39:32

In this episode of the Lightcone Podcast, we sat down with Mukund Jha and Madhav Jha, the founders of Emergent - an AI platform that lets anyone build and ship production-ready software. In just eight months, users have created more than 7 million apps on Emergent, with the number doubling in just the last 45 days. We discuss how they built one of the most powerful AI coding agents, why they focused on non-technical users and what it's like building for a global audience from India. 00:00 - Intro 01:06 - What Is Emergent? 01:18 - Founder Backstory 02:09 - From AI Testing to General Coding Agents 02:52 - Getting Ahead of the Market 04:18 - The Pivot to Non-Technical Users 05:22 - Why Second Movers Can Win in AI 09:04 - Building for Production, Not Just Prototypes 18:21 - Live Demo: Building Apps with Emergent 24:40 - How Emergent Hires and Runs a Lean Team 29:04 - Is SaaS Dead? The Rise of Personalized Software 34:04 - The Future: Niche Apps, Solo Builders and AI Agency

Y Combinator

107,774 views • 5 months ago