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Everyone knows alon But @pumpdotfun actually has three co-founders We hosted Sapijiju for his first-ever conversation about $PUMP Timestamps 0:00 Intro & Noah's Crypto Journey 7:15 Learning from Failure to Product Market Fit 11:20 Crypto's Lack of Innovation 16:30 Current Creator Models are Broken 18:00 Pump's Content Vision 23:00... Pump as a Product First Operation 25:00 Growing the Pie for Streaming 29:00 Innovating on Content Distribution 34:00 Letting Content Grow Organically 37:40 +$1.5B worth of SOL is locked in Pump Liquidity Pools 40:20 Creating a Global Impact with Pump 42:20 What could Pump do with its Warchest? 47:00 The Pump Buybacks 51:00 Why People use Pump 54:00 The Culture Shift of Crypto 57:00 Traditional models no Longer Work 59:00 The Cycle of Human Natureshow more

Delphi Digital

1,544,962 subscribers

258,125 views • 1 year ago •via X (Twitter)

Science & Technology Finance

Anya Rossi• Live Now

Private livecam show

35 Comments

alon1 year ago

@pumpdotfun @sapijiju wow!

TOM 🦋🔶🅿️1 year ago

@a1lon9 @pumpdotfun @sapijiju 1 hour episode but not a single airdrop question? Nonsense

Girl Is Cig1 year ago

@a1lon9 @pumpdotfun @sapijiju .@pumpdotfun cofounder @sapijiju “our (pumpfun) airdrop will be a lot more lucrative than anyone else in this space” @a1lon9 share the deets. Will your own CTO $alon be involved?

threadguy1 year ago

@a1lon9 @pumpdotfun @sapijiju woahhhhh movie

zeri_terminal1 year ago

@a1lon9 @pumpdotfun @sapijiju 01:14:07 pumpfun airdrop

AT ⚡1 year ago

@a1lon9 @pumpdotfun @sapijiju The only thing we want to know about pumpfun is who is responsible for the the $PUMP airdrop and if we ever going to see one

Devinweb31 year ago

@a1lon9 @pumpdotfun @sapijiju 1 hour episode but not a single airdrop question? Nonsense

Sage1 year ago

@a1lon9 @pumpdotfun @sapijiju It’s time for the canonical Sapijiju $Goat 7X84qLj14hs5j1YNGimWfhMEVMrnrCtkMUDnkWyk8jKA

Peace Through Trade1 year ago

@a1lon9 @pumpdotfun @sapijiju Lucrative airdrop details are eagerly awaited!

Doomi1 year ago

@a1lon9 @pumpdotfun @sapijiju Good stuff my fellas

Girl Is Cig1 year ago

@a1lon9 @pumpdotfun @sapijiju founders of the trenches

⚛️ Luís1 year ago

@a1lon9 @pumpdotfun @sapijiju When will @a1lon9 show support to $nuit??

EliteAndrey1 year ago

@pumpdotfun @a1lon9 @sapijiju what about a segment about pumpfun airdrop

akm1 year ago

@a1lon9 @pumpdotfun @sapijiju useless interview+undoxxed team+farmer kols on a payroll+scam cex partnership no airdrop

FVCT.CRVPTO1 year ago

@a1lon9 @pumpdotfun @sapijiju Great work discussing traders and how none of this is going back to traders. Also fuck you all for choosing the term "creator" to describe ruggers and scammers.

Rain1 year ago

@a1lon9 @pumpdotfun @sapijiju first pod and already feels legendary

Spectrum1 year ago

@a1lon9 @pumpdotfun @sapijiju pump it for fun. $reterd

uncowizzy1 year ago

@a1lon9 @pumpdotfun @sapijiju yap this yap that but dont miss the fact that one of the oldest and most iconic memes in history has yet to run. 9mgKEmj4GetLbekjEbPgWNjXMXX7Zscn6N2GAk6kCALW

Jesse Dalba1 year ago

@pumpdotfun @a1lon9 @sapijiju I made Iryna coin and all the creator funds will be going to the gofundme for the brutal attack in NC CA: 2JZ7dwoZBMWpgfHDHCFHvRqW6z1NBnmMdcvPUkWYmoon

CorolaMase1 year ago

@a1lon9 @pumpdotfun @sapijiju 3 founders but what’s happened to the 4th? @a1lon9 why has all this been hidden now. What happened to @0xtamagoyaki

Connor1 year ago

@a1lon9 @pumpdotfun @sapijiju good interview

toghu1 year ago

@a1lon9 @pumpdotfun @sapijiju didn't asked about airdrop? smh

Nico1 year ago

@a1lon9 @pumpdotfun @sapijiju world domination

Condz1 year ago

@a1lon9 @pumpdotfun @sapijiju k i want more of this content

Shortcoin1 year ago

@a1lon9 @pumpdotfun @sapijiju Wow❗

Drew1 year ago

@a1lon9 @pumpdotfun @sapijiju guys a killer

Rohit Chauhan1 year ago

@a1lon9 @pumpdotfun @sapijiju LFG

Arango1 year ago

@a1lon9 @pumpdotfun @sapijiju Movie

Pumpger1 year ago

@a1lon9 @pumpdotfun @sapijiju how can you talk absolutely nothing for 1 hour? not a word about airdrop that should be the main topic

Mommy1 year ago

@a1lon9 @pumpdotfun @sapijiju 👀

CorolaMase1 year ago

@a1lon9 @pumpdotfun @sapijiju When @0xtamagoyaki ? @a1lon9 he was a founder to right?

Jzun Stathat 🫵1 year ago

@a1lon9 @pumpdotfun @sapijiju Karen ?!

Sunhuk✨1 year ago

@a1lon9 @pumpdotfun @sapijiju Not pumpfun airdrop

gynchi1 year ago

@a1lon9 @pumpdotfun @sapijiju oh

Thor 🤬1 year ago

@a1lon9 @pumpdotfun @sapijiju Don’t jeet your sapijiji for a Big Mac bros 7X84qLj14hs5j1YNGimWfhMEVMrnrCtkMUDnkWyk8jKA

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Ruslan Khairullin

16,806 views • 6 months ago

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 views • 5 months ago

Full Podcast with Luca Netz CEO of Pudgy Penguins.🐧 “I want Pudgy Penguins to become one of the biggest brands in the world.” 00:00:30 – Intro & Meeting Luca 00:01:53 – Growing Up, Instability & Early Hustles 00:04:38 – Discovering Dropshipping & First Real Money 00:09:24 – Sales Career, Solar & Commission Reality 00:15:18 – “Stack or Starve” Mindset 00:20:52 – Money doesn't buy happiness 00:24:27 – Scaling Dropshipping with Influencers 00:28:14 – Internet Fame & the “Money Man” Era 00:32:34 – Venture Investing & Gel Blaster 00:36:15 – Why Pudgy Penguins Made Sense as IP 00:40:30 – Buying Pudgy Penguins & Rebuilding Trust 00:44:16 – NFTs as Attention Assets 00:47:08 – Walmart, Retail Strategy & Brand Expansion 00:50:19 – Long-Term Vision for Pudgy Penguins

JackGK

28,751 views • 7 months ago

Did a quick product overview of Believe and Launch Coin on Believe: • What is Internet capital market? • Bootstrap founders, crypto edition? • The growth flywheel for this model • Can the pump sustain? • Is it even real if there's no revshare? Timestamps 00:00 Introduction to BELIEF and Its Viral Nature 02:45 Understanding the Token Launch Mechanism 05:38 Challenges and Opportunities in Internet Capital Markets

Did a quick product overview of Believe and Launch Coin on Believe: • What is Internet capital market? • Bootstrap founders, crypto edition? • The growth flywheel for this model • Can the pump sustain? • Is it even real if there's no revshare? Timestamps 00:00 Introduction to BELIEF and Its Viral Nature 02:45 Understanding the Token Launch Mechanism 05:38 Challenges and Opportunities in Internet Capital Markets

Marco Manoppo

42,347 views • 1 year ago

.funkii.sui put $100K of his own money in, shipped 5 protocols solo, and hit 8 figures in revenue. with no team, no grants, just conviction. The full conversation on why he's building on Sui 👇 Timestamps: 0:00 — Intro 0:55 — Funkii's background & going all-in on Sui 3:00 — How he discovered Sui 6:30 — Why Move is safer than Solidity 9:00 — Sui developer experience vs other chains 12:00 — Is Sui still early? 14:30 — Mission 69B: the company behind it all 17:00 — What’s Faith 20:00 — Tide: revenue-backed fundraising 25:00 — Why crypto is here to stay 27:30 — AI agents & crypto payments 33:00 — Walrus, Deep Book & the full Sui stack 36:00 — Cannibal: a permissionless Polymarket on Sui 40:30 — Distribution & growth strategy 42:00 — Sui's breakout moment 44:00 — Funkii's favorite Sui project

.funkii.sui put $100K of his own money in, shipped 5 protocols solo, and hit 8 figures in revenue. with no team, no grants, just conviction. The full conversation on why he's building on Sui 👇 Timestamps: 0:00 — Intro 0:55 — Funkii's background & going all-in on Sui 3:00 — How he discovered Sui 6:30 — Why Move is safer than Solidity 9:00 — Sui developer experience vs other chains 12:00 — Is Sui still early? 14:30 — Mission 69B: the company behind it all 17:00 — What’s Faith 20:00 — Tide: revenue-backed fundraising 25:00 — Why crypto is here to stay 27:30 — AI agents & crypto payments 33:00 — Walrus, Deep Book & the full Sui stack 36:00 — Cannibal: a permissionless Polymarket on Sui 40:30 — Distribution & growth strategy 42:00 — Sui's breakout moment 44:00 — Funkii's favorite Sui project

Sooraj

12,400 views • 5 months 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 • 9 months ago