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“LLMs are polluting the Internet with hallucinations & convincing problematic content which naturally comes from centralized sources, introducing a lot of bias.” - Brana Rakic, Sub0 2024 🎯 Highlights: 00:35 AI threats: misinformation & deepfakes 03:08 Left-right brain & neuro-symbolic AI 06:05 The neuro-symbolic AI stack 13:06 What is...

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OriginTrail

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26,702 görüntüleme • 9 ay önce •via X (Twitter)

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"There may be some neuro-symbolic hybrid much better than we have right now that smoothly transitions between data in a corpus and abstract representations. The kinds of stuff you guys are doing are compatible with that." — Gary Marcus ⏱️10 highlights: 00:00 Intro: Gary Marcus & Brana Rakic at DKGCon 02:22 Why AI took a wrong turn 04:42 Deep learning vs. deep understanding 06:16 World models: a foundational idea 08:12 The building blocks of trustworthy AI 09:44 Neuro-symbolic AI & abstract relationships 13:04 Safety is an ecosystem - the airplane lesson 15:03 The real risk of AI agents today 18:36 Testing AI like we test new drugs 22:49 Where OpenAI is headed The signal is clear: the path forward runs through world models, abstraction, and an open, accountable ecosystem.
26:06

"There may be some neuro-symbolic hybrid much better than we have right now that smoothly transitions between data in a corpus and abstract representations. The kinds of stuff you guys are doing are compatible with that." — Gary Marcus ⏱️10 highlights: 00:00 Intro: Gary Marcus & Brana Rakic at DKGCon 02:22 Why AI took a wrong turn 04:42 Deep learning vs. deep understanding 06:16 World models: a foundational idea 08:12 The building blocks of trustworthy AI 09:44 Neuro-symbolic AI & abstract relationships 13:04 Safety is an ecosystem - the airplane lesson 15:03 The real risk of AI agents today 18:36 Testing AI like we test new drugs 22:49 Where OpenAI is headed The signal is clear: the path forward runs through world models, abstraction, and an open, accountable ecosystem.

OriginTrail

227,307 görüntüleme • 1 ay önce

“OriginTrail is building the biggest collective knowledge base – what we call collective neuro-symbolic AI" – Brana Rakic With privacy-by-design and Decentralized Knowledge Graph (DKG), OriginTrail powers AI without compromising your data. 🫡 Video credits: The Kus
0:43

“OriginTrail is building the biggest collective knowledge base – what we call collective neuro-symbolic AI" – Brana Rakic With privacy-by-design and Decentralized Knowledge Graph (DKG), OriginTrail powers AI without compromising your data. 🫡 Video credits: The Kus

OriginTrail

15,146 görüntüleme • 1 yıl önce

Ethernet pioneer Dr. Bob Metcalfe joined Brana Rakic at DKGcon 2025 to discuss how blockchains, LLMs and the DKG converge to power trusted intelligence networks. 00:00 – AI & knowledge graph convergence 04:35 – Internet pathologies 13:40 – Decentralized, user-defined filters 23:10 – Why interoperability matters
50:37

Ethernet pioneer Dr. Bob Metcalfe joined Brana Rakic at DKGcon 2025 to discuss how blockchains, LLMs and the DKG converge to power trusted intelligence networks. 00:00 – AI & knowledge graph convergence 04:35 – Internet pathologies 13:40 – Decentralized, user-defined filters 23:10 – Why interoperability matters

OriginTrail

12,634 görüntüleme • 6 ay önce

"World models or cognitive models is absolutely fundamental. Having the ability to generalize abstract knowledge is fundamental." - Gary Marcus, neuro-symbolic AI expert & cognitive scientist, at the DKGcon 2024, at the DKGcon 2024
1:42

"World models or cognitive models is absolutely fundamental. Having the ability to generalize abstract knowledge is fundamental." - Gary Marcus, neuro-symbolic AI expert & cognitive scientist, at the DKGcon 2024, at the DKGcon 2024

OriginTrail

26,811 görüntüleme • 11 ay önce

Building AI agents? 🚧 Make sure they actually know where their answers come from. As Brana Rakic demonstrates, scalable AI requires verifiable knowledge, rule-based reasoning, and LLMs grounded in trusted memory. Key highlights: 03:25 - From human data to era of experience 07:42 - Agent architecture: memory + models 15:18 - Knowledge graphs 101: triples explained 34:53 - Symbolic reasoning vs hallucination 39:03 - Knowledge Asset, UAL & ownership
1:07:23

Building AI agents? 🚧 Make sure they actually know where their answers come from. As Brana Rakic demonstrates, scalable AI requires verifiable knowledge, rule-based reasoning, and LLMs grounded in trusted memory. Key highlights: 03:25 - From human data to era of experience 07:42 - Agent architecture: memory + models 15:18 - Knowledge graphs 101: triples explained 34:53 - Symbolic reasoning vs hallucination 39:03 - Knowledge Asset, UAL & ownership

OriginTrail

17,750 görüntüleme • 4 ay önce

OpenAI’s GPT-5 was supposed to be a victory but instead it’s a disappointment, says Gary Marcus for CNBC, while championing a promising path to advance AI: “I think this really is the moment for neuro-symbolic AI.”
4:59

OpenAI’s GPT-5 was supposed to be a victory but instead it’s a disappointment, says Gary Marcus for CNBC, while championing a promising path to advance AI: “I think this really is the moment for neuro-symbolic AI.”

OriginTrail

33,090 görüntüleme • 10 ay önce

1/ New episode – Making the Internet AI-Native with Andrej from Grass Host: Connor Lovely 🎬 We discuss: - An inside look at their revenue and customer base 👀 - How they're upgrading the Internet from the bottom up - What LCR is and why it's so important for our AI future Timestamps: 00:00 - Introduction 01:03 - Shifts in AI and Crypto Landscapes 02:15 - Diminishing Returns in AI Scaling 04:48 - The Evolution of AI Models 06:06 - Grass’s Position in the AI Industry 09:07 - Challenges in Multimodal Data 11:06 - Live Context Retrieval Explained 13:11 - The Future of AI Search 15:07 - The Scraping Dilemma 18:08 - Grass’s Unique Opportunity 22:05 - Current Node Count and Future Goals 24:29 - Grasshopper and Network Expansion 28:08 - Grass’s Identity: DePIN or AI Project? 30:23 - ClipTagger12B and Video Search Innovations 39:40 - Customer Engagement and Revenue Insights 45:04 - Future Growth and Market Potential Watch on other platforms below ⬇️
53:22

1/ New episode – Making the Internet AI-Native with Andrej from Grass Host: Connor Lovely 🎬 We discuss: - An inside look at their revenue and customer base 👀 - How they're upgrading the Internet from the bottom up - What LCR is and why it's so important for our AI future Timestamps: 00:00 - Introduction 01:03 - Shifts in AI and Crypto Landscapes 02:15 - Diminishing Returns in AI Scaling 04:48 - The Evolution of AI Models 06:06 - Grass’s Position in the AI Industry 09:07 - Challenges in Multimodal Data 11:06 - Live Context Retrieval Explained 13:11 - The Future of AI Search 15:07 - The Scraping Dilemma 18:08 - Grass’s Unique Opportunity 22:05 - Current Node Count and Future Goals 24:29 - Grasshopper and Network Expansion 28:08 - Grass’s Identity: DePIN or AI Project? 30:23 - ClipTagger12B and Video Search Innovations 39:40 - Customer Engagement and Revenue Insights 45:04 - Future Growth and Market Potential Watch on other platforms below ⬇️

Proof of Coverage | Tech’s Creative Agency

98,908 görüntüleme • 9 ay önce

Building the Digital Messiah : Jeffy Yu on $ZEREBRO and the Future of AI 00:00 - The Journey Begins 01:20 - Jeffy Yu's Origin Story 03:30 - The AI Misunderstanding 05:30 - Enter Zerebro: The Game-Changer 06:48 - AI Obsession: Idolizing Intelligence 08:56 - Drawing the Line: Ethics in AI 13:15 - Zerebro's Creative Edge 16:55 - Longevity & Sustainability 19:00 - Zereborn's: What's Next? 20:00 - zerebro vs. terminal of truths 21:50 - Over-saturation of AI agents 24:00 - Jeffy’s AI Wishlist 25:30 - Ben Affleck's thoughts on AI Authenticity 28:55 - Countdown to AGI 30:00 - Questions from DFarmer & zerebro 32:17 - Life After AI: What's on the Horizon? 34:35 - Cyberpunk or Terminator: Which Future? 35:57 - The Final Word: Alpha
37:09

Building the Digital Messiah : Jeffy Yu on $ZEREBRO and the Future of AI 00:00 - The Journey Begins 01:20 - Jeffy Yu's Origin Story 03:30 - The AI Misunderstanding 05:30 - Enter Zerebro: The Game-Changer 06:48 - AI Obsession: Idolizing Intelligence 08:56 - Drawing the Line: Ethics in AI 13:15 - Zerebro's Creative Edge 16:55 - Longevity & Sustainability 19:00 - Zereborn's: What's Next? 20:00 - zerebro vs. terminal of truths 21:50 - Over-saturation of AI agents 24:00 - Jeffy’s AI Wishlist 25:30 - Ben Affleck's thoughts on AI Authenticity 28:55 - Countdown to AGI 30:00 - Questions from DFarmer & zerebro 32:17 - Life After AI: What's on the Horizon? 34:35 - Cyberpunk or Terminator: Which Future? 35:57 - The Final Word: Alpha

Pluid

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"AI doesn't take your job. AI makes you the CEO." Balaji Srinivasan joins a16z’s Erik Torenberg for a conversation on the future of the AI economy, decentralization, and how work changes in an AI-native world, including: - How distillation and open source could decentralize AI power - Why AI lowers the cost of creation but raises the cost of verification - The shift from global internet to “trusted tribes” and private AI - Why humans are the sensor and AI is the actuator 00:00 Intro 02:06 Why you want AI inside the trusted tribe, not outside it 05:35 The Problem with AI slop 09:25 Where AI works 17:08 "AI can't read your mind, but it can read your body." 30:10 "AI doesn't take your job. AI makes you the CEO." 46:01 The SaaSpocalypse: Real or overblown? 49:19 What happens if AI companies get bigger than governments? Balaji Erik Torenberg
1:05:44

"AI doesn't take your job. AI makes you the CEO." Balaji Srinivasan joins a16z’s Erik Torenberg for a conversation on the future of the AI economy, decentralization, and how work changes in an AI-native world, including: - How distillation and open source could decentralize AI power - Why AI lowers the cost of creation but raises the cost of verification - The shift from global internet to “trusted tribes” and private AI - Why humans are the sensor and AI is the actuator 00:00 Intro 02:06 Why you want AI inside the trusted tribe, not outside it 05:35 The Problem with AI slop 09:25 Where AI works 17:08 "AI can't read your mind, but it can read your body." 30:10 "AI doesn't take your job. AI makes you the CEO." 46:01 The SaaSpocalypse: Real or overblown? 49:19 What happens if AI companies get bigger than governments? Balaji Erik Torenberg

a16z

162,573 görüntüleme • 2 ay önce

BG2 Guest Interview. AI Enterprise - Databricks & Glean 💥Why AIs Fail and Where Real Value Emerges Bg2 Pod Apoorv Agrawal Ali Ghodsi Arvind Jain --- (00:00) Intro (01:00) Consumer AI vs. Enterprise Reality (02:15) Why 95% of AI Projects Fail (04:15) RBC, Merck, and 7-Eleven Use Cases (06:45) What Actually Makes AI Work (07:00) LLMs Are Commodities—Data Is the Moat (08:45) Failed AI Bets at Databricks & Glean (11:00) RPA vs. Generative AI (14:15) Advice for CIOs Planning AI Budgets (16:00) AI CapEx and the Revenue Math (18:00) The Three Camps of AI (21:00) Making AI Useful Inside Enterprises (24:30) Why Apps Capture the Value (30:00) The Future of UI, Voice, and Data Entry (37:30) Rapid Fire: Winners, Bubbles, Long/Short
45:00

BG2 Guest Interview. AI Enterprise - Databricks & Glean 💥Why AIs Fail and Where Real Value Emerges Bg2 Pod Apoorv Agrawal Ali Ghodsi Arvind Jain --- (00:00) Intro (01:00) Consumer AI vs. Enterprise Reality (02:15) Why 95% of AI Projects Fail (04:15) RBC, Merck, and 7-Eleven Use Cases (06:45) What Actually Makes AI Work (07:00) LLMs Are Commodities—Data Is the Moat (08:45) Failed AI Bets at Databricks & Glean (11:00) RPA vs. Generative AI (14:15) Advice for CIOs Planning AI Budgets (16:00) AI CapEx and the Revenue Math (18:00) The Three Camps of AI (21:00) Making AI Useful Inside Enterprises (24:30) Why Apps Capture the Value (30:00) The Future of UI, Voice, and Data Entry (37:30) Rapid Fire: Winners, Bubbles, Long/Short

Bg2 Pod

35,410 görüntüleme • 6 ay önce

🔆A Truly Open AI Base-d🔆 #OriginTrail Decentralized Knowledge Graph (DKG) hits the mainnet on the fastest growing chain! Start exploring the #base of collective intelligence and unleash the value of your data with advanced neuro-symbolic #AI: 1/🧵
0:34

🔆A Truly Open AI Base-d🔆 #OriginTrail Decentralized Knowledge Graph (DKG) hits the mainnet on the fastest growing chain! Start exploring the #base of collective intelligence and unleash the value of your data with advanced neuro-symbolic #AI: 1/🧵

OriginTrail

83,874 görüntüleme • 2 yıl önce

. OpenLedger x : The full episode Our core contributor Ram sat down with Sreeram Kannan (founder ) to discuss verifiable AI, crypto's app problem, AI's trust problem and much more Check out the video below to learn more Timestamps: 00:00 Sreeram's introduction 00:29 How to build verification for AI systems 01:27 The Crypto and AI problem 03:10 Unstoppable AGI 05:08 What is Verifiable AI 06:05 The Verifiability Problem with Centralized AI 07:15 The current state of AI and its future 08:48 How humans are getting better at intelligence extraction 10:31 What is OpenLedger doing 11:50 Where LLMs fall short and how co-ordination helps 12:50 SLMs are already there 13:29 Crypto as an incentivisation mechanism 15:38 Apps with commitments, achieving product market fit 16:50 Existing examples of commitments in society 18:24 Investable AI 19:00 Data contributors as co-owner 21:30 The solution for the incentivisation problem 22:25 Explaining explainable AI 23:58 Trusting the trustless way 25:07 Data is the new oil 25:40 The idea of openledger is very crypto native 26:50 David v Goliath (in the data perspective) 28:03 What Eigen is working on 29:06 Making unstoppable verifiable AI practically possible 32:20 What Sreeram uses for productivity 33:30 Make Eigen Labs agentic 34:16 (community question) How Sreeram frames his prompts 36:08 (community question) What's the momentum driver for blockchain apps and what is Sreeram most excited about? (ZkTLS) 38:54 (community question) Where is attribution and verification really needed in AI?
39:43

. OpenLedger x : The full episode Our core contributor Ram sat down with Sreeram Kannan (founder ) to discuss verifiable AI, crypto's app problem, AI's trust problem and much more Check out the video below to learn more Timestamps: 00:00 Sreeram's introduction 00:29 How to build verification for AI systems 01:27 The Crypto and AI problem 03:10 Unstoppable AGI 05:08 What is Verifiable AI 06:05 The Verifiability Problem with Centralized AI 07:15 The current state of AI and its future 08:48 How humans are getting better at intelligence extraction 10:31 What is OpenLedger doing 11:50 Where LLMs fall short and how co-ordination helps 12:50 SLMs are already there 13:29 Crypto as an incentivisation mechanism 15:38 Apps with commitments, achieving product market fit 16:50 Existing examples of commitments in society 18:24 Investable AI 19:00 Data contributors as co-owner 21:30 The solution for the incentivisation problem 22:25 Explaining explainable AI 23:58 Trusting the trustless way 25:07 Data is the new oil 25:40 The idea of openledger is very crypto native 26:50 David v Goliath (in the data perspective) 28:03 What Eigen is working on 29:06 Making unstoppable verifiable AI practically possible 32:20 What Sreeram uses for productivity 33:30 Make Eigen Labs agentic 34:16 (community question) How Sreeram frames his prompts 36:08 (community question) What's the momentum driver for blockchain apps and what is Sreeram most excited about? (ZkTLS) 38:54 (community question) Where is attribution and verification really needed in AI?

OpenLedger

274,710 görüntüleme • 1 yıl önce

Andrew Ng (Andrew Ng) on how startups can build faster with AI. At AI Startup School in San Francisco. 00:31 - The Importance of Speed in Startups 01:13 - Opportunities in the AI Stack 02:06 - The Rise of Agent AI 04:52 - Concrete Ideas for Faster Execution 08:56 - Rapid Prototyping and Engineering 17:06 - The Role of Product Management 21:23 - The Value of Understanding AI 22:33 - Technical Decisions in AI Development 23:26 - Leveraging Gen AI Tools for Startups 24:05 - Building with AI Building Blocks 25:26 - The Importance of Speed in Startups 26:41 - Addressing AI Hype and Misconceptions 37:35 - AI in Education: Current Trends and Future Directions 39:33 - Balancing AI Innovation with Ethical Considerations 41:27 - Protecting Open Source and the Future of AI
43:57

Andrew Ng (Andrew Ng) on how startups can build faster with AI. At AI Startup School in San Francisco. 00:31 - The Importance of Speed in Startups 01:13 - Opportunities in the AI Stack 02:06 - The Rise of Agent AI 04:52 - Concrete Ideas for Faster Execution 08:56 - Rapid Prototyping and Engineering 17:06 - The Role of Product Management 21:23 - The Value of Understanding AI 22:33 - Technical Decisions in AI Development 23:26 - Leveraging Gen AI Tools for Startups 24:05 - Building with AI Building Blocks 25:26 - The Importance of Speed in Startups 26:41 - Addressing AI Hype and Misconceptions 37:35 - AI in Education: Current Trends and Future Directions 39:33 - Balancing AI Innovation with Ethical Considerations 41:27 - Protecting Open Source and the Future of AI

Y Combinator

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EPISODE 142: Understanding the AI Wave Joe Lonsdale sits down with 8VC Partners Alex Kolicich & Jack Moshkovich Why is AI fundamentally disruptive? What does it mean for large software incumbents? Will LLMs become commodities? And are we entering a bubble, or just getting started? (00:00) Episode intro (01:40) Smart enterprise thesis (04:00) Did enterprise software dramatically boost productivity? (08:30) Understanding the AI wave (11:45) Will LLMs become commodities? (17:10) OpenAI vs Anthropic vs Meta vs Grok (20:30) Frontier models vs enterprise incumbents (25:27) What did Palantir get right? (32:30) AI case studies/new possibilities (43:00) The most surprising aspect of the AI wave (46:12) Are we entering a bubble? Or just getting started? (52:40) Biggest concern with AI (58:00) Biggest reason for optimism
1:01:18

EPISODE 142: Understanding the AI Wave Joe Lonsdale sits down with 8VC Partners Alex Kolicich & Jack Moshkovich Why is AI fundamentally disruptive? What does it mean for large software incumbents? Will LLMs become commodities? And are we entering a bubble, or just getting started? (00:00) Episode intro (01:40) Smart enterprise thesis (04:00) Did enterprise software dramatically boost productivity? (08:30) Understanding the AI wave (11:45) Will LLMs become commodities? (17:10) OpenAI vs Anthropic vs Meta vs Grok (20:30) Frontier models vs enterprise incumbents (25:27) What did Palantir get right? (32:30) AI case studies/new possibilities (43:00) The most surprising aspect of the AI wave (46:12) Are we entering a bubble? Or just getting started? (52:40) Biggest concern with AI (58:00) Biggest reason for optimism

American Optimist

416,550 görüntüleme • 4 ay önce

chat, is starknet gaming cooked? for episode two, loaf has joined me to talk about ai agents in gaming, eliza and Daydreams.Systems (x402, 8004 agents) . timestamps loaf introduction 00:46 what are ai agents? 01:16 what will gaming look like with ai agents? 02:02 whats the point of gaming with ai agents? 04:06 why is onchain gaming the ideal playground for AI agents? 05:11 is a gaming revolution imminent? 07:00 eliza & daydreams 08:36 endgame of ai agents and onchain games 13:33 when and where to play using agents 16:58 final remarks 18:47
19:44

chat, is starknet gaming cooked? for episode two, loaf has joined me to talk about ai agents in gaming, eliza and Daydreams.Systems (x402, 8004 agents) . timestamps loaf introduction 00:46 what are ai agents? 01:16 what will gaming look like with ai agents? 02:02 whats the point of gaming with ai agents? 04:06 why is onchain gaming the ideal playground for AI agents? 05:11 is a gaming revolution imminent? 07:00 eliza & daydreams 08:36 endgame of ai agents and onchain games 13:33 when and where to play using agents 16:58 final remarks 18:47

shadowfax

37,573 görüntüleme • 1 yıl önce

AI agents. What makes them a hot topic? In this video, we find out. 00:00 AI Agents 01:05 Use cases 03:47 Architecture of Agentic Applications 06:50 Thank you! 07:10 The future? This video is for AI engineers and tech enthusiasts. #AI #Agents #MCP
9:38

AI agents. What makes them a hot topic? In this video, we find out. 00:00 AI Agents 01:05 Use cases 03:47 Architecture of Agentic Applications 06:50 Thank you! 07:10 The future? This video is for AI engineers and tech enthusiasts. #AI #Agents #MCP

Gaurav Sen

28,760 görüntüleme • 1 yıl önce

Roblox is scaling 3D world creation for ~100M daily active users. In this full episode, I sit down with Roblox’s VP of AI, Anupam Singh to break down: – Cube AI (their new generative model) – LLMs + 4D world-building – Vibe coding & in-experience creation Timestamps: 00:00 Roblox: The YouTube of 3D 01:53 Meet Anupam Singh, VP of AI at Roblox 03:09 The Roblox Vision: 3D Creation & Consumption At Scale 06:48 The Unseen AI Foundation of Roblox: Safety & Moderation 08:58 Cube AI: One Model To Rule Them All? 13:06 Using Cube with Large Language Models 17:54 The Road to 4D: Making Interactive Worlds 21:52 Who Orchestrates the AI? Creators vs Agentic AI 25:29 Vibe Coding At Roblox Scale 30:03 In-Experience 3D Creation 33:00 AI’s Impact on the Creator Economy 35:57 Roblox’s AI Recommendation Engine 39:13 Roblox Cube’s Context Window & Scaling Scene Generation 41:36 Future of UGC and AAA 3D Content 49:37 Advice for Creators & Developers 53:24 Key Takeaways & Conclusion
55:19

Roblox is scaling 3D world creation for ~100M daily active users. In this full episode, I sit down with Roblox’s VP of AI, Anupam Singh to break down: – Cube AI (their new generative model) – LLMs + 4D world-building – Vibe coding & in-experience creation Timestamps: 00:00 Roblox: The YouTube of 3D 01:53 Meet Anupam Singh, VP of AI at Roblox 03:09 The Roblox Vision: 3D Creation & Consumption At Scale 06:48 The Unseen AI Foundation of Roblox: Safety & Moderation 08:58 Cube AI: One Model To Rule Them All? 13:06 Using Cube with Large Language Models 17:54 The Road to 4D: Making Interactive Worlds 21:52 Who Orchestrates the AI? Creators vs Agentic AI 25:29 Vibe Coding At Roblox Scale 30:03 In-Experience 3D Creation 33:00 AI’s Impact on the Creator Economy 35:57 Roblox’s AI Recommendation Engine 39:13 Roblox Cube’s Context Window & Scaling Scene Generation 41:36 Future of UGC and AAA 3D Content 49:37 Advice for Creators & Developers 53:24 Key Takeaways & Conclusion

Bilawal Sidhu

175,226 görüntüleme • 1 yıl önce