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Full CludeAI $CLUDE interview w/seb Topics covered: → 2% hallucination rate vs 15% industry → Big labs are incentivized not to fix memory → ~100x token cost reduction -------------------------------- 0:00 Sovereign memory narrative 1:26 Founder background 3:28 The context window problem 9:08 Why big labs won't fix it 17:23...

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MCG

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13,293 görüntüleme • 3 ay önce •via X (Twitter)

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What does the next training paradigm look like? 0:00:00 – The big research bet the labs are making 0:02:12 – Grindability is just as important as verifiability 0:06:10 – Will RLVR alone generalize? 0:08:41 – Getting the learning back to the weights 0:15:22 – Dreaming 0:17:23 – What 2027 looks like Also on YouTube, pod feed, and Substack.
19:52

What does the next training paradigm look like? 0:00:00 – The big research bet the labs are making 0:02:12 – Grindability is just as important as verifiability 0:06:10 – Will RLVR alone generalize? 0:08:41 – Getting the learning back to the weights 0:15:22 – Dreaming 0:17:23 – What 2027 looks like Also on YouTube, pod feed, and Substack.

Dwarkesh Patel

727,735 görüntüleme • 12 gün önce

Here's my conversation with Charan Ranganath, psychologist & neuroscientist at UC Davis, specializing in human memory. We talk about memory, imagination, deja vu, false memories, why we remember, why we forget, and a lot of other fascinating mysteries about the human mind. It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 1:03 - Experiencing self vs remembering self 14:44 - Creating memories 24:16 - Why we forget 31:53 - Training memory 42:22 - Memory hacks 54:10 - Imagination vs memory 1:03:29 - Memory competitions 1:13:18 - Science of memory 1:28:33 - Discoveries 1:39:37 - Deja vu 1:44:54 - False memories 2:04:59 - False confessions 2:08:45 - Heartbreak 2:16:19 - Nature of time 2:24:00 - Brain–computer interface (BCI) 2:38:04 - AI and memory 2:48:18 - ADHD 2:55:15 - Music 3:05:00 - Human mind
3:10:40

Here's my conversation with Charan Ranganath, psychologist & neuroscientist at UC Davis, specializing in human memory. We talk about memory, imagination, deja vu, false memories, why we remember, why we forget, and a lot of other fascinating mysteries about the human mind. It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 1:03 - Experiencing self vs remembering self 14:44 - Creating memories 24:16 - Why we forget 31:53 - Training memory 42:22 - Memory hacks 54:10 - Imagination vs memory 1:03:29 - Memory competitions 1:13:18 - Science of memory 1:28:33 - Discoveries 1:39:37 - Deja vu 1:44:54 - False memories 2:04:59 - False confessions 2:08:45 - Heartbreak 2:16:19 - Nature of time 2:24:00 - Brain–computer interface (BCI) 2:38:04 - AI and memory 2:48:18 - ADHD 2:55:15 - Music 3:05:00 - Human mind

Lex Fridman

294,521 görüntüleme • 2 yıl önce

Preflood Labs: The "Big Problem"
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Preflood Labs: The "Big Problem"

Trey Smith

13,975 görüntüleme • 1 yıl önce

Full Pumpcade interview w/Pop Punk 01:05 - Founder background 01:34 - Pumpcade lore 03:15 - "Trenchifying" prediction markets 04:35 - Hackathon win and Pump.fun's support 06:40 - Advice to crypto founders 09:10 - Tokenized startups are the future 09:58 - Future of the token and common misconceptions 11:48 - VC pullback 14:08 - Token utility 17:19 - Preseed raise ($1m) 18:30 - The pitch 20:15 - Building on Solana (Solana_devs) 21:35 - Hiring talent (Steve + gnar) 23:00 - Platform redesign 24:00 - GTM & competition 26:00 - Infrastructure revamp 27:50 - User base and stats 29:58 - Tokenomics 31:00 - Fee & revenue model 31:35 - TAM 32:00 - Web2 native 35:25 - Inspo 37: 51 - Permissionless markets 43:00 - A thank you to the early supporters 43:15 - What's to come
45:32

Full Pumpcade interview w/Pop Punk 01:05 - Founder background 01:34 - Pumpcade lore 03:15 - "Trenchifying" prediction markets 04:35 - Hackathon win and Pump.fun's support 06:40 - Advice to crypto founders 09:10 - Tokenized startups are the future 09:58 - Future of the token and common misconceptions 11:48 - VC pullback 14:08 - Token utility 17:19 - Preseed raise ($1m) 18:30 - The pitch 20:15 - Building on Solana (Solana_devs) 21:35 - Hiring talent (Steve + gnar) 23:00 - Platform redesign 24:00 - GTM & competition 26:00 - Infrastructure revamp 27:50 - User base and stats 29:58 - Tokenomics 31:00 - Fee & revenue model 31:35 - TAM 32:00 - Web2 native 35:25 - Inspo 37: 51 - Permissionless markets 43:00 - A thank you to the early supporters 43:15 - What's to come

MCG

21,931 görüntüleme • 3 ay önce

I Made $4M, Here’s The AI Automation Stack We Use: 0:00 The AI stack behind $4M 0:50 Most businesses are bottlenecked by small tasks 1:42 Our old stack vs our current stack 2:35 Why Claude Code changed everything 3:21 Founder Funnel 6:26 Our clipping platform 8:00 Sales automation pipeline 9:06 What each tool is actually for 9:46 The $62/hour automation test 10:33 What I would not fully automate 11:40 What to build first
12:22

I Made $4M, Here’s The AI Automation Stack We Use: 0:00 The AI stack behind $4M 0:50 Most businesses are bottlenecked by small tasks 1:42 Our old stack vs our current stack 2:35 Why Claude Code changed everything 3:21 Founder Funnel 6:26 Our clipping platform 8:00 Sales automation pipeline 9:06 What each tool is actually for 9:46 The $62/hour automation test 10:33 What I would not fully automate 11:40 What to build first

Sharbel

16,554 görüntüleme • 1 ay önce

the next MetaDAO ICO is Solomon Labs. a project loved by VCs, but choosing the futarchy route watch the video to find out what they are building, the team, the competition, and all details about the ICO Timestamps 00:00 Introduction to Solomon Labs 00:28 Understanding the Two-Token Model 00:53 Yield Generation Mechanism 01:33 Market Fit and Target Audience 02:35 Competitor Analysis 06:05 Team Behind Solomon Labs 08:46 ICO Details and Token Distribution 11:49 Final Thoughts and Next Steps
14:00

the next MetaDAO ICO is Solomon Labs. a project loved by VCs, but choosing the futarchy route watch the video to find out what they are building, the team, the competition, and all details about the ICO Timestamps 00:00 Introduction to Solomon Labs 00:28 Understanding the Two-Token Model 00:53 Yield Generation Mechanism 01:33 Market Fit and Target Audience 02:35 Competitor Analysis 06:05 Team Behind Solomon Labs 08:46 ICO Details and Token Distribution 11:49 Final Thoughts and Next Steps

Seb Monty

48,390 görüntüleme • 7 ay önce

Ep. 88 - Eyad Gomaa τroy is building Quasar Subnet 24 Timestamps 1:24 - Introduction 2:08 - Long Context & Decentralized MoE Training 4:05 - Why Long Context Remains Unsolved 5:18 - Quasar Attention: Beyond Transformers 5:55 - Why Decentralized MoE Training Is Hard 8:53 - The MoE Router Problem 9:51 - How Quasar Found Bittensor 11:26 - Why Open Source & Decentralized AI 12:43 - The Joseph Jacks Rejection 13:47 - Subnet Design: CUDA Kernels & Distillation 15:38 - Quasar vs. Other Distillation Subnets 17:05 - Decentralized MoE Design: Miners & Validators 18:34 - Training Data & Upcoming Partnership 19:36 - Quality Over Size: The Real Goal 22:26 - Value Capture: Chutes, API & Quasar Copilot 23:28 - Hardest Part: Building the Incentive Mechanism 24:17 - Bittensor as YC for Real AI 25:24 - Decentralized Advantage vs. Centralized Labs 26:44 - Const: Subnet Acquisition & Mentorship 28:42 - Youngest Subnet Owner & Crypto Background 29:48 - Biggest Personal Growth in Bittensor 30:57 - State-of-the-Art from Bittensor 32:10 - Infinite Context: 10M Effective Window 33:16 - Open Source Inspiration & Model Persona 34:21 - Building Persona via Reinforcement Learning 36:04 - Advice for AI Nerds: Set Goals Before Joining
37:36

Ep. 88 - Eyad Gomaa τroy is building Quasar Subnet 24 Timestamps 1:24 - Introduction 2:08 - Long Context & Decentralized MoE Training 4:05 - Why Long Context Remains Unsolved 5:18 - Quasar Attention: Beyond Transformers 5:55 - Why Decentralized MoE Training Is Hard 8:53 - The MoE Router Problem 9:51 - How Quasar Found Bittensor 11:26 - Why Open Source & Decentralized AI 12:43 - The Joseph Jacks Rejection 13:47 - Subnet Design: CUDA Kernels & Distillation 15:38 - Quasar vs. Other Distillation Subnets 17:05 - Decentralized MoE Design: Miners & Validators 18:34 - Training Data & Upcoming Partnership 19:36 - Quality Over Size: The Real Goal 22:26 - Value Capture: Chutes, API & Quasar Copilot 23:28 - Hardest Part: Building the Incentive Mechanism 24:17 - Bittensor as YC for Real AI 25:24 - Decentralized Advantage vs. Centralized Labs 26:44 - Const: Subnet Acquisition & Mentorship 28:42 - Youngest Subnet Owner & Crypto Background 29:48 - Biggest Personal Growth in Bittensor 30:57 - State-of-the-Art from Bittensor 32:10 - Infinite Context: 10M Effective Window 33:16 - Open Source Inspiration & Model Persona 34:21 - Building Persona via Reinforcement Learning 36:04 - Advice for AI Nerds: Set Goals Before Joining

Ventura Labs

13,603 görüntüleme • 2 ay önce

🎙️ New The Edge Podcast 🐻 Why The Token Bear Market Is Ending | Theia on Valuations, Token Rights, and Contrarian Investing 0:00 - Intro 2:00 - Who is Theia? 4:02 - AI tools accelerating research 10:37 - Mental models for investing 18:46 - The 4-year token bear market 24:15 - Tokenholder rights: Why they matter 28:37 - Thoughts on Across token buyout 32:08 - Signs liquid token bear market is ending 35:23 - Do you believe in the four-year cycle? 39:19 - What is MetaDAO and futarchy? 49:56 - What Theia looks for in liquid tokens 56:18 - The bear is where you make money 58:12 - The case for high integrity founders 1:01:14 - Real RWAs vs. narrative RWAs 1:04:40 - Why we need underwriters, not engineers 1:06:35 - The investment manager of the future 1:11:28 - Why some VCs pivot away from crypto 1:16:57 - Why being contrarian and right matters 1:21:25 - Finding edge when DeFi is all duopolies 1:26:35 - Closing 🙏 Thanks to Felipe Montealegre Founder & CIO Felipe Montealegre for joining us!
1:27:40

🎙️ New The Edge Podcast 🐻 Why The Token Bear Market Is Ending | Theia on Valuations, Token Rights, and Contrarian Investing 0:00 - Intro 2:00 - Who is Theia? 4:02 - AI tools accelerating research 10:37 - Mental models for investing 18:46 - The 4-year token bear market 24:15 - Tokenholder rights: Why they matter 28:37 - Thoughts on Across token buyout 32:08 - Signs liquid token bear market is ending 35:23 - Do you believe in the four-year cycle? 39:19 - What is MetaDAO and futarchy? 49:56 - What Theia looks for in liquid tokens 56:18 - The bear is where you make money 58:12 - The case for high integrity founders 1:01:14 - Real RWAs vs. narrative RWAs 1:04:40 - Why we need underwriters, not engineers 1:06:35 - The investment manager of the future 1:11:28 - Why some VCs pivot away from crypto 1:16:57 - Why being contrarian and right matters 1:21:25 - Finding edge when DeFi is all duopolies 1:26:35 - Closing 🙏 Thanks to Felipe Montealegre Founder & CIO Felipe Montealegre for joining us!

DeFi Dad ⟠ defidad.eth

24,329 görüntüleme • 3 ay önce

I recorded a 20-min video on how to set up footprint charts, including settings and use cases 0:14 - market orders 0:52 - passive/aggressive flow 1:48 - cluster vs profile 2:38 - dual cluster mode 3:51 - tick sizes 6:08 - other render & text types 7:33 - delta shading 8:20 - big player absorption 9:33 - colour settings 9:48 - point of control 10:32 - imbalances 13:40 - aggregating footprint 15:08 - open interest 17:15 - bar stats 17:57 - use case
19:28

I recorded a 20-min video on how to set up footprint charts, including settings and use cases 0:14 - market orders 0:52 - passive/aggressive flow 1:48 - cluster vs profile 2:38 - dual cluster mode 3:51 - tick sizes 6:08 - other render & text types 7:33 - delta shading 8:20 - big player absorption 9:33 - colour settings 9:48 - point of control 10:32 - imbalances 13:40 - aggregating footprint 15:08 - open interest 17:15 - bar stats 17:57 - use case

Luckshury

29,127 görüntüleme • 1 ay önce

Are AI benchmarks doomed? Greg Burnham and Tom Adamczewski join Anson Ho to push back on benchmark pessimism and dig into what the next generation of AI benchmarks could look like. (0:00:00) - Preview (0:00:36) - Intro: Are AI benchmarks doomed? (0:03:13) - The costs and benefits of benchmark development (0:11:48) - MirrorCode and scalable benchmarks (0:20:57) - AI speed-up in benchmark development (0:23:28) - The benchmark-reality gap (0:38:26) - Can an AGI benchmark exist? (0:43:18) - Beyond automated scoring (1:00:45) - How AI changes benchmark building in practice
1:05:24

Are AI benchmarks doomed? Greg Burnham and Tom Adamczewski join Anson Ho to push back on benchmark pessimism and dig into what the next generation of AI benchmarks could look like. (0:00:00) - Preview (0:00:36) - Intro: Are AI benchmarks doomed? (0:03:13) - The costs and benefits of benchmark development (0:11:48) - MirrorCode and scalable benchmarks (0:20:57) - AI speed-up in benchmark development (0:23:28) - The benchmark-reality gap (0:38:26) - Can an AGI benchmark exist? (0:43:18) - Beyond automated scoring (1:00:45) - How AI changes benchmark building in practice

Epoch AI

22,037 görüntüleme • 2 ay önce

r1 one year later | introducing memory 0:00 remember this guy? 00:34 introducing memory 3:00 memory in action 5:23 r1 one year later: unlimited AI + magic personalization 7:17 rabbitOS intern 8:14 sneak peak
9:15

r1 one year later | introducing memory 0:00 remember this guy? 00:34 introducing memory 3:00 memory in action 5:23 r1 one year later: unlimited AI + magic personalization 7:17 rabbitOS intern 8:14 sneak peak

rabbit inc.

30,461 görüntüleme • 1 yıl önce

proposal to fix Ethereum presented Sonic Labs
0:40

proposal to fix Ethereum presented Sonic Labs

Gabriel Haines

31,202 görüntüleme • 1 yıl önce

LIVE NOW - The Holy Grail of Crypto Privacy: Encrypted Ethereum, FHE & Living Forever Ethereum is transparent by design, and that’s a problem if you don’t want your entire financial life on display. Rand , co-founder of Zama, joins us to explain how fully homomorphic encryption (FHE) can turn Ethereum into an encrypted, confidential blockchain where contracts stay composable and UX feels exactly the same. -------------- TIMESTAMPS 0:00 Intro 0:24 Why Are Blockchains Public? 9:11 Privacy vs Confidentiality 11:13 Zama: Privacy on Ethereum 15:05 Fully Homomorphic Encryption (FHE) 19:34 Multi-Party Computation (MPC) 23:50 FHE vs ZK 37:25 FHE Critiques 40:08 Nation State Attacks 45:58 Combining ZK & FHE 49:20 Privacy Season 51:39 Compliance 1:00:18 Zama 1:04:03 Confidential Tokens 1:08:12 How it Works 1:11:30 Zama Token & Protocol 1:14:09 Privacy Competitors 1:17:36 Fhenix 1:19:46 Rand’s Background 1:23:07 AI Privacy 1:26:42 Longevity 1:33:01 Crypto & Privacy in 2026 1:33:33 Closing & Disclaimers
1:34:16

LIVE NOW - The Holy Grail of Crypto Privacy: Encrypted Ethereum, FHE & Living Forever Ethereum is transparent by design, and that’s a problem if you don’t want your entire financial life on display. Rand , co-founder of Zama, joins us to explain how fully homomorphic encryption (FHE) can turn Ethereum into an encrypted, confidential blockchain where contracts stay composable and UX feels exactly the same. -------------- TIMESTAMPS 0:00 Intro 0:24 Why Are Blockchains Public? 9:11 Privacy vs Confidentiality 11:13 Zama: Privacy on Ethereum 15:05 Fully Homomorphic Encryption (FHE) 19:34 Multi-Party Computation (MPC) 23:50 FHE vs ZK 37:25 FHE Critiques 40:08 Nation State Attacks 45:58 Combining ZK & FHE 49:20 Privacy Season 51:39 Compliance 1:00:18 Zama 1:04:03 Confidential Tokens 1:08:12 How it Works 1:11:30 Zama Token & Protocol 1:14:09 Privacy Competitors 1:17:36 Fhenix 1:19:46 Rand’s Background 1:23:07 AI Privacy 1:26:42 Longevity 1:33:01 Crypto & Privacy in 2026 1:33:33 Closing & Disclaimers

Bankless

121,302 görüntüleme • 7 ay önce

1959, Memory Devices, Bell Labs.
27:11

1959, Memory Devices, Bell Labs.

Brian Roemmele

11,980 görüntüleme • 4 ay önce

Myron Reveals the REAL Reason Jidion Suddenly Turned Against Alex Rosen! Myron Gaines Alex Rosen 00:00 Jidion Drops Alex Rosen 01:04 Who Is Alex Rosen? 02:59 The Announcement 04:05 Chud The Builder Controversy 06:17 Missing Context? 08:09 Fan Pressure Allegations 10:00 Clout vs Principles 12:57 Why Work With Alex? 15:02 The Real Reason? 17:41 Friendship or Business? 21:13 The $10,000 Donation 24:11 Chud Case Debate 28:23 Damage Control Accusations 31:09 Audience Capture Explained 35:02 Loyalty vs Subscribers 37:11 Final Response 39:23 Fake YouTube World?
40:02

Myron Reveals the REAL Reason Jidion Suddenly Turned Against Alex Rosen! Myron Gaines Alex Rosen 00:00 Jidion Drops Alex Rosen 01:04 Who Is Alex Rosen? 02:59 The Announcement 04:05 Chud The Builder Controversy 06:17 Missing Context? 08:09 Fan Pressure Allegations 10:00 Clout vs Principles 12:57 Why Work With Alex? 15:02 The Real Reason? 17:41 Friendship or Business? 21:13 The $10,000 Donation 24:11 Chud Case Debate 28:23 Damage Control Accusations 31:09 Audience Capture Explained 35:02 Loyalty vs Subscribers 37:11 Final Response 39:23 Fake YouTube World?

Myron Gaines Clips

28,872 görüntüleme • 24 gün önce

1) Make fake problem 2) Pretend to fix it 3) Morons cheer
1:41

1) Make fake problem 2) Pretend to fix it 3) Morons cheer

TizzyEnt

38,597 görüntüleme • 7 ay önce

$PENGU token aftermath, Doodles token airdrop & Market crash 0:00 $PENGU claim 2:40 $PENGU Price Action 3:32 $PENGU vs $ME vs $HYPE vs $APE 5:43 Abstract 7:00 NFT Token Catalysts 7:30 Azuki ANIME Token 8:40 Doodles Token 11:00 Jirasan Tokens 11:25 Goblintown Token 11:53 Creepz Tokens 12:30 Moonbirds Token 12:53 Gaming NFT Tokens 13:17 NFT Market Outlook 14:33 Opensea Airdrop 16:08 FOMC Aftermath 17:50 Crypto Market Outlook
20:02

$PENGU token aftermath, Doodles token airdrop & Market crash 0:00 $PENGU claim 2:40 $PENGU Price Action 3:32 $PENGU vs $ME vs $HYPE vs $APE 5:43 Abstract 7:00 NFT Token Catalysts 7:30 Azuki ANIME Token 8:40 Doodles Token 11:00 Jirasan Tokens 11:25 Goblintown Token 11:53 Creepz Tokens 12:30 Moonbirds Token 12:53 Gaming NFT Tokens 13:17 NFT Market Outlook 14:33 Opensea Airdrop 16:08 FOMC Aftermath 17:50 Crypto Market Outlook

Gorilla

24,541 görüntüleme • 1 yıl önce

Your OpenClaw🦞 agent works perfectly for 20 minutes. Then it silently forgets your instructions and goes rogue. The fix isn't better prompts. It's understanding how memory actually works. I'm an OpenClaw maintainer. After 2+ months of daily use, I ended up with a memory system where my agent remembers decisions from weeks ago, checks its notes before acting, and picks up exactly where it left off after every restart: 0:00 The real reason your agent forgets 1:59 Quick start: 3 things that matter most 3:01 The 4 "memories" people confuse 4:52 3 failure modes: why your agent forgets 6:42 Compaction vs pruning 8:05 Prove what's loaded: /context list 10:06 What compaction actually does 13:42 Layer 1: pre-compaction memory flush 16:27 Layer 2: manual saves + /compact trick 19:12 Layer 3: the file architecture 23:22 The memory protocol for AGENTS.md 26:06 Retrieval: Track A, A+, and QMD by tobi lutke 31:59 Cost and cache 33:33 The complete config (copy and go) 36:35 5 things to remember
37:33

Your OpenClaw🦞 agent works perfectly for 20 minutes. Then it silently forgets your instructions and goes rogue. The fix isn't better prompts. It's understanding how memory actually works. I'm an OpenClaw maintainer. After 2+ months of daily use, I ended up with a memory system where my agent remembers decisions from weeks ago, checks its notes before acting, and picks up exactly where it left off after every restart: 0:00 The real reason your agent forgets 1:59 Quick start: 3 things that matter most 3:01 The 4 "memories" people confuse 4:52 3 failure modes: why your agent forgets 6:42 Compaction vs pruning 8:05 Prove what's loaded: /context list 10:06 What compaction actually does 13:42 Layer 1: pre-compaction memory flush 16:27 Layer 2: manual saves + /compact trick 19:12 Layer 3: the file architecture 23:22 The memory protocol for AGENTS.md 26:06 Retrieval: Track A, A+, and QMD by tobi lutke 31:59 Cost and cache 33:33 The complete config (copy and go) 36:35 5 things to remember

Radek Sienkiewicz

93,948 görüntüleme • 4 ay önce