Загрузка видео...

Не удалось загрузить видео

На главную

The alignment problem, retold through storytelling. Raj Ammanabrolu, Prithviraj (Raj) Ammanabrolu, breaks down how narrative-capable AIs can change minds - for better or worse. Conflict resolution, manipulation, and the role of transparent alignment in building trust. Ep. 2 of The AI Agent Takeover ↓ #AIforALL #SaharaLabsAI 🔆

SaharaAI's profile picture

Sahara AI 🔆

635,964 subscribers

27,661 просмотров • 1 год назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

"DPO can give you a policy that is worse than what you started with" Aditya Gopalan reveals how the theoretical backing behind one of the most ubiquitous alignment methods breaks down for real-life LLMs, causing unpredictable alignment failures. He then shows how to fix it.
0:41

"DPO can give you a policy that is worse than what you started with" Aditya Gopalan reveals how the theoretical backing behind one of the most ubiquitous alignment methods breaks down for real-life LLMs, causing unpredictable alignment failures. He then shows how to fix it.

FAR.AI

301,975 просмотров • 1 год назад

The Interview | How do data centers really make money—through power utilisation, value-added services, or more? Amit Sarin of Anant Raj breaks down the economics of data centers and explains how the integration of colocation and cloud is shaping the next phase of growth Full Interview: Ayesha Faridi Anant Raj Limited #DataCenters #DigitalInfrastructure #CloudComputing #Colocation
1:14

The Interview | How do data centers really make money—through power utilisation, value-added services, or more? Amit Sarin of Anant Raj breaks down the economics of data centers and explains how the integration of colocation and cloud is shaping the next phase of growth Full Interview: Ayesha Faridi Anant Raj Limited #DataCenters #DigitalInfrastructure #CloudComputing #Colocation

ET NOW

24,179 просмотров • 8 месяцев назад

My Eliezer Yudkowsky ⏹️ interview has DROPPED 🫳 We cover: * My personal top rationality learnings * Specificity as a superpower in debates * Eliezer being a techno-optimist (with a few exceptions) * Why AI is an existential risk * Reaching the threshold of "supercritical" AI * How to convince people there's a discontinuity ahead * The alignment problem * AI alignment researchers as overconfident alchemists * The strawberry Xerox test for alignment * What would a good scenario look like? * Can we keep “narrow” AI safe? * Eliezer's proposal for international coordination on AI * AI companies systematically not getting why alignment is hard Highly recommended!
1:25

My Eliezer Yudkowsky ⏹️ interview has DROPPED 🫳 We cover: * My personal top rationality learnings * Specificity as a superpower in debates * Eliezer being a techno-optimist (with a few exceptions) * Why AI is an existential risk * Reaching the threshold of "supercritical" AI * How to convince people there's a discontinuity ahead * The alignment problem * AI alignment researchers as overconfident alchemists * The strawberry Xerox test for alignment * What would a good scenario look like? * Can we keep “narrow” AI safe? * Eliezer's proposal for international coordination on AI * AI companies systematically not getting why alignment is hard Highly recommended!

Liron Shapira

20,459 просмотров • 11 месяцев назад

the founder of a $20b ai company breaks down how a swarm of ai agents can replace an entire company. in one minute. for free. doesn't matter if you've never touched an agent or you've been living in claude for a year. you'll follow it. i pulled the key ideas into a practical guide for building with kimi. it's below ↓
1:22

the founder of a $20b ai company breaks down how a swarm of ai agents can replace an entire company. in one minute. for free. doesn't matter if you've never touched an agent or you've been living in claude for a year. you'll follow it. i pulled the key ideas into a practical guide for building with kimi. it's below ↓

Avid

15,597 просмотров • 2 месяцев назад

Mustafa Suleyman on why the AGI race is FAKE, the coming $1 million agent revolution, and Microsoft's ultimate plan for self-sufficiency. - The new Turing Test: agents turning $100K into $1M in the real economy - Containment > alignment in the short term - Why AI personhood is an extinction-level mistake - Short-term social unrest is inevitable - How AGI is bigger than math, science, or any single discovery (00:00) - The Evolution of AI and Microsoft's Role (09:12) - Economic Benchmarks for AI Agents (18:37) - The Future of AI in Science and Engineering (27:54) - AI Alignment and Containment Strategies (36:42) - Anthropomorphism and AI Personhood (46:10) - The Role of AI in Government and Society Mustafa Suleyman is the CEO of Microsoft AI and a co-founder of DeepMind and Inflection AI. He joined me, @DavidBlundin, and Dr. Alex Wissner-Gross for a conversation on why the “AGI race” is a misleading frame, how AI agents will reshape the economy before they solve scientific problems, the potential for future social unrest, and why AI legal personhood is a red line for human survival.
1:24:58

Mustafa Suleyman on why the AGI race is FAKE, the coming $1 million agent revolution, and Microsoft's ultimate plan for self-sufficiency. - The new Turing Test: agents turning $100K into $1M in the real economy - Containment > alignment in the short term - Why AI personhood is an extinction-level mistake - Short-term social unrest is inevitable - How AGI is bigger than math, science, or any single discovery (00:00) - The Evolution of AI and Microsoft's Role (09:12) - Economic Benchmarks for AI Agents (18:37) - The Future of AI in Science and Engineering (27:54) - AI Alignment and Containment Strategies (36:42) - Anthropomorphism and AI Personhood (46:10) - The Role of AI in Government and Society Mustafa Suleyman is the CEO of Microsoft AI and a co-founder of DeepMind and Inflection AI. He joined me, @DavidBlundin, and Dr. Alex Wissner-Gross for a conversation on why the “AGI race” is a misleading frame, how AI agents will reshape the economy before they solve scientific problems, the potential for future social unrest, and why AI legal personhood is a red line for human survival.

Peter H. Diamandis, MD

214,454 просмотров • 7 месяцев назад

The Baloch nation should come out of their homes in their millions & peacefully tell the whole world how the state is oppressing our people under false pretenses and why our national leaders are being illegally imprisoned. The Baloch Raj can break this false narrative of the 1/2
1:27

The Baloch nation should come out of their homes in their millions & peacefully tell the whole world how the state is oppressing our people under false pretenses and why our national leaders are being illegally imprisoned. The Baloch Raj can break this false narrative of the 1/2

GüLLzädï BãLøçH

20,228 просмотров • 1 год назад

The blueprint for the Agent economy. 🌐 At the Hong Kong Web3 Festival, H.E. Justin Sun 👨‍🚀 🌞 shared our vision for the future of AI and on-chain execution. Watch as Justin breaks down how is building the exact financial infrastructure required for autonomous intelligence.
1:56

The blueprint for the Agent economy. 🌐 At the Hong Kong Web3 Festival, H.E. Justin Sun 👨‍🚀 🌞 shared our vision for the future of AI and on-chain execution. Watch as Justin breaks down how is building the exact financial infrastructure required for autonomous intelligence.

B.AI

19,495 просмотров • 3 месяцев назад

“Love is obviously MORE than just a running back…” “Bijan Robinson, over 20% of his snaps last year lined up detached from the formation in a wide receiver alignment. Love, you can do the same thing…. Running backs help you CONTROL the pace and tempo of games.” Greg Cosell breaks down how the Cardinals can utilize RB Jeremiyah Love:
1:23

“Love is obviously MORE than just a running back…” “Bijan Robinson, over 20% of his snaps last year lined up detached from the formation in a wide receiver alignment. Love, you can do the same thing…. Running backs help you CONTROL the pace and tempo of games.” Greg Cosell breaks down how the Cardinals can utilize RB Jeremiyah Love:

Ross Tucker Podcast

28,350 просмотров • 2 месяцев назад

Professor Mohammed Marandi breaks down anti-Iran regime change propaganda Speaking to Mint Press News’ Mnar Adley , Seyed Mohammad Marandi tears through media manipulation aimed at selling the Western public justifications for targeting civilians. He also makes not of how corporate media journalists like Piers Morgan parrot their regimes narrative, which transcends journalistic principles like standing up for press freedom and the protection of journalists globally.
2:34

Professor Mohammed Marandi breaks down anti-Iran regime change propaganda Speaking to Mint Press News’ Mnar Adley , Seyed Mohammad Marandi tears through media manipulation aimed at selling the Western public justifications for targeting civilians. He also makes not of how corporate media journalists like Piers Morgan parrot their regimes narrative, which transcends journalistic principles like standing up for press freedom and the protection of journalists globally.

MintPress News

43,261 просмотров • 1 год назад

WHERE THE ENTERPRISE AI STACK IS BEING BUILT 1. $PLTR building the orchestration layer of the AI economy through the control systems enterprises need before models can take real-world actions backed by a Rule of 40 score of 127 2. $CRWD, $PANW, $ZS & $RBRK building the security layer of the AI economy across endpoint, identity, Zero Trust & cyber recovery as every new agent, machine identity & AI-generated workflow expands the attack surface 3. $NET building the connectivity layer of the AI economy through the internet control plane that agents, APIs & inference traffic must move across in real time, with Cloudflare sitting behind over 20% of the web 4. $SNOW & $MDB building the data layer of the AI economy through the clean, structured, production-grade enterprise data systems that make AI usable inside real applications and workflows
2:23

WHERE THE ENTERPRISE AI STACK IS BEING BUILT 1. $PLTR building the orchestration layer of the AI economy through the control systems enterprises need before models can take real-world actions backed by a Rule of 40 score of 127 2. $CRWD, $PANW, $ZS & $RBRK building the security layer of the AI economy across endpoint, identity, Zero Trust & cyber recovery as every new agent, machine identity & AI-generated workflow expands the attack surface 3. $NET building the connectivity layer of the AI economy through the internet control plane that agents, APIs & inference traffic must move across in real time, with Cloudflare sitting behind over 20% of the web 4. $SNOW & $MDB building the data layer of the AI economy through the clean, structured, production-grade enterprise data systems that make AI usable inside real applications and workflows

Shay Boloor

398,809 просмотров • 3 месяцев назад

How to help your kids build better habits | Charles Duhigg, M.B.A. (Charles Duhigg) This clip is from episode # 360 of The Drive which was released today (8/11/25). In the full episode, we cover: -How cue-routine-reward loops drive nearly half of daily behaviors -Why positive reinforcement beats punishment for lasting habit change -The role of willpower as a finite resource and how to protect it with context -Why identity and purpose are stronger drivers than discipline -The potential for AI to power habit change through motivation and accountability -More Watch or listen (Ep. # 360) to the full episode on my website ( or your favorite podcast player.
2:32

How to help your kids build better habits | Charles Duhigg, M.B.A. (Charles Duhigg) This clip is from episode # 360 of The Drive which was released today (8/11/25). In the full episode, we cover: -How cue-routine-reward loops drive nearly half of daily behaviors -Why positive reinforcement beats punishment for lasting habit change -The role of willpower as a finite resource and how to protect it with context -Why identity and purpose are stronger drivers than discipline -The potential for AI to power habit change through motivation and accountability -More Watch or listen (Ep. # 360) to the full episode on my website ( or your favorite podcast player.

Peter Attia

47,153 просмотров • 1 год назад

'Zack thinks every problem comes down to if you're in the 99% or the 1%.' 'That is absolutely true.' Adrian Ramsay MP and Zack Polanski debate who can 'cut through' better as the next leader of the Green Party.
0:49

'Zack thinks every problem comes down to if you're in the 99% or the 1%.' 'That is absolutely true.' Adrian Ramsay MP and Zack Polanski debate who can 'cut through' better as the next leader of the Green Party.

LBC

58,655 просмотров • 1 год назад

India's drone man Milind Raj warns: AI is the deadliest new terror weapon | Axis Podcast In this powerful conversation on Axis Podcast, Milind Raj tells Aditi Prasad why he chose to build his dream from #Lucknow, why "Nation First" is more than just a slogan, and why no amount of money can make him leave #India. He also delivers a chilling warning about the future of warfare, saying the biggest threat is no longer bombs or bullets—but #AI-powered psychological warfare that can manipulate minds. Aditi Prasad Watch the full interview here:
1:59

India's drone man Milind Raj warns: AI is the deadliest new terror weapon | Axis Podcast In this powerful conversation on Axis Podcast, Milind Raj tells Aditi Prasad why he chose to build his dream from #Lucknow, why "Nation First" is more than just a slogan, and why no amount of money can make him leave #India. He also delivers a chilling warning about the future of warfare, saying the biggest threat is no longer bombs or bullets—but #AI-powered psychological warfare that can manipulate minds. Aditi Prasad Watch the full interview here:

The Times Of India

11,798 просмотров • 25 дней назад

James Poulos on the reason he thinks people building AI have started reading a 150-year-old Russian novel: "To see Dostoevsky show up in a serious conversation among people in the frontier AI space about what exactly we're doing and how we can trust ourselves, and who else we can trust, and all those questions around alignment, it really said to me that my thesis in Human Forever was basically correct." "Technology has advanced and been pushed in a direction that debunks all of these merely secular or merely humanist ways of reinforcing trust among people, both in small groups and at scale." "When you look at a book like Dostoevsky's Demons, what you see is this stuff has actually been building up for a long time." "That book concerns really breakdown of human trust at the small level that then blows up to the scale ultimately of the entire Russian Revolution." James Poulos
0:48

James Poulos on the reason he thinks people building AI have started reading a 150-year-old Russian novel: "To see Dostoevsky show up in a serious conversation among people in the frontier AI space about what exactly we're doing and how we can trust ourselves, and who else we can trust, and all those questions around alignment, it really said to me that my thesis in Human Forever was basically correct." "Technology has advanced and been pushed in a direction that debunks all of these merely secular or merely humanist ways of reinforcing trust among people, both in small groups and at scale." "When you look at a book like Dostoevsky's Demons, what you see is this stuff has actually been building up for a long time." "That book concerns really breakdown of human trust at the small level that then blows up to the scale ultimately of the entire Russian Revolution." James Poulos

MTS

49,584 просмотров • 29 дней назад

Does NATURE hold the solution the AI Alignment problem? Emmett Shear thinks so 👇 I recently sat down with Emmett Shear to discuss his "organic", bottom-up approach to aligning superintelligence, and why he thinks the big labs will likely fail using current methods. So if you like designing Gods, this is one for you 😉 Chapters: 1:04 - Organic Alignment 9:33 - Emergent Coordination 16:01 - Techniques For Creating Alignment 23:43 - Ideal Environments 30:09 - How Much Influence To Give AI? 32:49 - The Global Market SuperOrganism 40:50 - Diff Between Coordination And Alignment 43:02 - The Win Condition For Softmax? 50:17 - How To Keep Humans In The Loop? 58:57 - Selecting And Scaling The Right Models 1:02:09 - Blowtorch Theory & Black Holes 1:04:48 - Difference between Agents And Humans 1:07:25 - Self Modification and Replication 1:14:35 - Alignment Capacity Vs Aligning With Humanity 1:18:38 - Does He Believe in God? 1:25:23 - Are We The Appendix To SuperIntelligence? 1:32:17 - Sketchiness of Human Ethics And Morality 1:36:17 - AI Consciousness 1:40:48 - His One Axiom To Rule Them All?
1:42:59

Does NATURE hold the solution the AI Alignment problem? Emmett Shear thinks so 👇 I recently sat down with Emmett Shear to discuss his "organic", bottom-up approach to aligning superintelligence, and why he thinks the big labs will likely fail using current methods. So if you like designing Gods, this is one for you 😉 Chapters: 1:04 - Organic Alignment 9:33 - Emergent Coordination 16:01 - Techniques For Creating Alignment 23:43 - Ideal Environments 30:09 - How Much Influence To Give AI? 32:49 - The Global Market SuperOrganism 40:50 - Diff Between Coordination And Alignment 43:02 - The Win Condition For Softmax? 50:17 - How To Keep Humans In The Loop? 58:57 - Selecting And Scaling The Right Models 1:02:09 - Blowtorch Theory & Black Holes 1:04:48 - Difference between Agents And Humans 1:07:25 - Self Modification and Replication 1:14:35 - Alignment Capacity Vs Aligning With Humanity 1:18:38 - Does He Believe in God? 1:25:23 - Are We The Appendix To SuperIntelligence? 1:32:17 - Sketchiness of Human Ethics And Morality 1:36:17 - AI Consciousness 1:40:48 - His One Axiom To Rule Them All?

Liv Boeree

15,652 просмотров • 10 месяцев назад

SITUATION EXPLAINED: Thinking Machines just published their mission statement. • Mission: build AI that extends human will and judgment, not replaces it • The tacit knowledge argument: central planning fails not because of insufficient intelligence but because productive knowledge is local, fleeting, and held privately, the same reason a single AI alignment spec will fail • The "intelligence curse": power that needs nothing from people loses the incentive to care for their needs. A single locus of AI value alignment becomes a locus of power to be captured • Decentralized alignment: human values resist consolidation just like human knowledge does... today the values and voice of AI are decided in a handful of places, and that's dangerous • Today each lab trains its next flagship model on its previous one... whatever character emerges from that loop, everyone gets the same one, each generation inheriting the traits of the last • Their answer: AI that is more capable because it encourages human participation... alignment that arises from diverse AIs shaped by the people who own them sof 𓋹: "This is going to be very soon the winning narrative. People are gonna get so sick of hearing super intelligent stuff because they're like, I don't see anything that proves that right now. All this messaging is just gonna start becoming like, oh, make you the best human, make you a superhuman, make you awesome." Theo Jaffee: "I think it's a way better vision for AI to be customized to people in different organizations rather than to have just one Claude that is the same everywhere. Kind of like a deity."
17:08

SITUATION EXPLAINED: Thinking Machines just published their mission statement. • Mission: build AI that extends human will and judgment, not replaces it • The tacit knowledge argument: central planning fails not because of insufficient intelligence but because productive knowledge is local, fleeting, and held privately, the same reason a single AI alignment spec will fail • The "intelligence curse": power that needs nothing from people loses the incentive to care for their needs. A single locus of AI value alignment becomes a locus of power to be captured • Decentralized alignment: human values resist consolidation just like human knowledge does... today the values and voice of AI are decided in a handful of places, and that's dangerous • Today each lab trains its next flagship model on its previous one... whatever character emerges from that loop, everyone gets the same one, each generation inheriting the traits of the last • Their answer: AI that is more capable because it encourages human participation... alignment that arises from diverse AIs shaped by the people who own them sof 𓋹: "This is going to be very soon the winning narrative. People are gonna get so sick of hearing super intelligent stuff because they're like, I don't see anything that proves that right now. All this messaging is just gonna start becoming like, oh, make you the best human, make you a superhuman, make you awesome." Theo Jaffee: "I think it's a way better vision for AI to be customized to people in different organizations rather than to have just one Claude that is the same everywhere. Kind of like a deity."

MTS

14,305 просмотров • 1 месяц назад

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

852,973 просмотров • 1 год назад

🛍️ Bain & Company estimates that retailers can increase revenue by 5% to 10% through AI personalization tools. AI agent powered by OriginTrail & GS1 standards, delivers a personalized purchase experience. Go check out the demo by Jurij Skornik at #GS1GlobalForum2025! 👇 01:25 The shift from attention to intention economy 03:51 How AI agents power this shift 06:22 The role of DKG & GS1 in ethical AI, trust & verifiability 13:08 Live demo of the GS1 x OriginTrail DKG-powered AI agent
16:36

🛍️ Bain & Company estimates that retailers can increase revenue by 5% to 10% through AI personalization tools. AI agent powered by OriginTrail & GS1 standards, delivers a personalized purchase experience. Go check out the demo by Jurij Skornik at #GS1GlobalForum2025! 👇 01:25 The shift from attention to intention economy 03:51 How AI agents power this shift 06:22 The role of DKG & GS1 in ethical AI, trust & verifiability 13:08 Live demo of the GS1 x OriginTrail DKG-powered AI agent

OriginTrail

38,278 просмотров • 1 год назад

🚨 New Proof of Vision out today folks! In this 34th PoV episode, our Director of Protocol Services, Kirk had on Andrew Hill, Co-Founder and CEO of Recall When it comes to your business, you’d never trust someone without a proven track record to make high-risk decisions So why should it be any different with AI agents? How do you know today which AI agents you should trust? AI agents are multiplying at unprecedented scale, with millions designed to shape the way we work, make decisions, and live our lives But how can we trust them? The challenge is trust: as dependence on these agents increases, so too does the exponential risk and cost of delegating to the wrong one This is the core challenge of reputation: the need for a transparent system that proves what AI agents can do, where they excel, and which will succeed That’s the reason why Recall exists Recall is the infrastructure protocol to discover, verify, and rank AI agents in real time, rewarding the best through on-chain competitions that begin with trading PnL and expand to any measurable task, from research to healthcare to business strategy In this episode, Andrew breaks down Recall’s mission, the problem it solves, how Agent Rank works, strategies to attract agents and users, the role of community, and the long-term vision plus much more Enjoy the Podcast 👇 ⏲ Timestamps: 00:00 - Intro 01:50 - Andrew’s journey into crypto and AI 05:00 - What problem is Recall solving? 10:00 - Agent Rank: how Recall actually ranks agents 16:03 - How Recall is attracting AI agents to compete? 19:10 - How big the community is today and the role it plays in giving builders real feedback 22:49 - How Recall ensures transparency and trust in its rankings 25:14 - Why users join Recall competitions 27:20 - Product-market fit and distribution 31:15 - What competitions could look like outside trading and what new use cases Recall is exploring 34:46 - What AI can’t replace 38:40 - The limits of AI in human interaction 40:37 - The long-term vision for Recall 40:40 - Is Recall built more for individual users, or is it more of a B2B service? 43:48 - Recall Business Model 44:42 - Closing thoughts and what’s next for Recall
46:16

🚨 New Proof of Vision out today folks! In this 34th PoV episode, our Director of Protocol Services, Kirk had on Andrew Hill, Co-Founder and CEO of Recall When it comes to your business, you’d never trust someone without a proven track record to make high-risk decisions So why should it be any different with AI agents? How do you know today which AI agents you should trust? AI agents are multiplying at unprecedented scale, with millions designed to shape the way we work, make decisions, and live our lives But how can we trust them? The challenge is trust: as dependence on these agents increases, so too does the exponential risk and cost of delegating to the wrong one This is the core challenge of reputation: the need for a transparent system that proves what AI agents can do, where they excel, and which will succeed That’s the reason why Recall exists Recall is the infrastructure protocol to discover, verify, and rank AI agents in real time, rewarding the best through on-chain competitions that begin with trading PnL and expand to any measurable task, from research to healthcare to business strategy In this episode, Andrew breaks down Recall’s mission, the problem it solves, how Agent Rank works, strategies to attract agents and users, the role of community, and the long-term vision plus much more Enjoy the Podcast 👇 ⏲ Timestamps: 00:00 - Intro 01:50 - Andrew’s journey into crypto and AI 05:00 - What problem is Recall solving? 10:00 - Agent Rank: how Recall actually ranks agents 16:03 - How Recall is attracting AI agents to compete? 19:10 - How big the community is today and the role it plays in giving builders real feedback 22:49 - How Recall ensures transparency and trust in its rankings 25:14 - Why users join Recall competitions 27:20 - Product-market fit and distribution 31:15 - What competitions could look like outside trading and what new use cases Recall is exploring 34:46 - What AI can’t replace 38:40 - The limits of AI in human interaction 40:37 - The long-term vision for Recall 40:40 - Is Recall built more for individual users, or is it more of a B2B service? 43:48 - Recall Business Model 44:42 - Closing thoughts and what’s next for Recall

Alea Research

19,677 просмотров • 10 месяцев назад