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The most important AI question has nothing to do with picking the right technology. It's this: what problem are we actually trying to solve? In this IdeaCast episode, journalist and author Josh Tyrangiel makes the case that successful AI adoption comes down to discipline—pick a real, high-impact problem, follow...

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I've been saying it for years, AI is the most important conversation we're having right now. Josh Tyrangiel (Josh) spent a year looking for the people actually using it to save lives, and what he found will change the way you think about this technology forever. Watch/YouTube on X, YouTube, Spotify, Apple Podcasts, or wherever you get your podcasts. Timestamps 0:00 Josh Tyrangiel Introduction 1:35 This is the most important conversation we are having right now 4:33 Is there an existential threat with the creators of AI? 6:31 Which AI is the best one to use? 8:02 A year from now, are we at agentic AI? 10:11 "You need a human in all AI cases." 12:06 If we have checks and balances in place for AI, will our adversaries do the same? 13:58 Anthropic and the US government relationship 15:14 Common variable on an institution using AI or not 19:18 Should you be worried about AI? 20:32 How would a politician or CEO benefit from this book? 21:49 Humans using the AI, not replaced by AI 25:09 What do you think this will change about how we think about AI? 27:28 Five Words
30:03

I've been saying it for years, AI is the most important conversation we're having right now. Josh Tyrangiel (Josh) spent a year looking for the people actually using it to save lives, and what he found will change the way you think about this technology forever. Watch/YouTube on X, YouTube, Spotify, Apple Podcasts, or wherever you get your podcasts. Timestamps 0:00 Josh Tyrangiel Introduction 1:35 This is the most important conversation we are having right now 4:33 Is there an existential threat with the creators of AI? 6:31 Which AI is the best one to use? 8:02 A year from now, are we at agentic AI? 10:11 "You need a human in all AI cases." 12:06 If we have checks and balances in place for AI, will our adversaries do the same? 13:58 Anthropic and the US government relationship 15:14 Common variable on an institution using AI or not 19:18 Should you be worried about AI? 20:32 How would a politician or CEO benefit from this book? 21:49 Humans using the AI, not replaced by AI 25:09 What do you think this will change about how we think about AI? 27:28 Five Words

Anthony Scaramucci

15,891 görüntüleme • 2 ay önce

"What we’ve done is solve hallucinations in general AI by anchoring the model to truth—your company’s real data, goals, people, and structure. With our context engine, the AI understands who you are, why you exist, and what you’re trying to do. So every answer is grounded in your company’s DNA. That’s how we built FOSTR." Today’s episode is with Co-Founder, Jason Baxter, to introduce our latest venture, FOSTR AI—a company built to solve one of the most pressing challenges facing businesses today: how to implement AI in your business in a meaningful, aligned, and scalable way. We unpack the fragmented state of AI adoption across small to mid-sized businesses and explain why most organizations, despite interest, are either stuck in experimentation or using disconnected tools that don’t move the business forward. FOSTR AI is the answer to that problem—an execution intelligence layer that creates a company's “digital twin,” aligning AI usage with team structure, goals, and strategy from day one. We discuss how FOSTR helps companies: - Onboard and operationalize AI in a matter of minutes - Centralize AI usage across teams while maintaining control, security, and context - Reduce risk from siloed tools and misaligned AI use Whether you're running a 50-person business or leading an enterprise team, this episode explores how to unlock the full potential of AI, without losing visibility or control. If you’re an owner, operator, investor, or builder curious about the future of AI in business, this episode offers a first look at what that future will look like. 0:52 - Introducing FOSTR 2:40 - The challenges businesses face with AI today 5:14 - How companies and employees are misusing AI. 10:29 - Additional Challenges 12:33 - How FOSTR is creating alignment between companies and AI Solutions. 25:57 - Where FOSTR is in its life cycle 30:39 - How to get in touch with, work at, or invest in FOSTR
31:27

"What we’ve done is solve hallucinations in general AI by anchoring the model to truth—your company’s real data, goals, people, and structure. With our context engine, the AI understands who you are, why you exist, and what you’re trying to do. So every answer is grounded in your company’s DNA. That’s how we built FOSTR." Today’s episode is with Co-Founder, Jason Baxter, to introduce our latest venture, FOSTR AI—a company built to solve one of the most pressing challenges facing businesses today: how to implement AI in your business in a meaningful, aligned, and scalable way. We unpack the fragmented state of AI adoption across small to mid-sized businesses and explain why most organizations, despite interest, are either stuck in experimentation or using disconnected tools that don’t move the business forward. FOSTR AI is the answer to that problem—an execution intelligence layer that creates a company's “digital twin,” aligning AI usage with team structure, goals, and strategy from day one. We discuss how FOSTR helps companies: - Onboard and operationalize AI in a matter of minutes - Centralize AI usage across teams while maintaining control, security, and context - Reduce risk from siloed tools and misaligned AI use Whether you're running a 50-person business or leading an enterprise team, this episode explores how to unlock the full potential of AI, without losing visibility or control. If you’re an owner, operator, investor, or builder curious about the future of AI in business, this episode offers a first look at what that future will look like. 0:52 - Introducing FOSTR 2:40 - The challenges businesses face with AI today 5:14 - How companies and employees are misusing AI. 10:29 - Additional Challenges 12:33 - How FOSTR is creating alignment between companies and AI Solutions. 25:57 - Where FOSTR is in its life cycle 30:39 - How to get in touch with, work at, or invest in FOSTR

Chris Powers

41,751 görüntüleme • 1 yıl önce

Will AI Destroy us All? Farzad 🇺🇸 🇮🇷 joins the podcast in this episode where we tackle the most important questions as it relates to AI and our future. Dads need to get engaged and prepare their children. What do you think? Are we doomed or is AI the start of something amazing?
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Will AI Destroy us All? Farzad 🇺🇸 🇮🇷 joins the podcast in this episode where we tackle the most important questions as it relates to AI and our future. Dads need to get engaged and prepare their children. What do you think? Are we doomed or is AI the start of something amazing?

George Hayworth 🇺🇸

13,591 görüntüleme • 2 ay önce

Built an AI maturity assessment. It's designed to answer... • how AI-native your team really is • where the bottlenecks are • what good looks like • and what to do next We turned the AI transformation model into something practical you can actually use. Takes about 3 minutes. Chat with it and it gives back: • a detailed AI maturity assessment • strengths and gaps across your workflows • practical recommendations • a downloadable report you can share internally The goal wasn’t to make a gimmicky quiz (please give me direct feedback on how to improve). It’s meant to be a practical diagnostic for how modern teams are actually adopting AI at work. Give it shot!
0:55

Built an AI maturity assessment. It's designed to answer... • how AI-native your team really is • where the bottlenecks are • what good looks like • and what to do next We turned the AI transformation model into something practical you can actually use. Takes about 3 minutes. Chat with it and it gives back: • a detailed AI maturity assessment • strengths and gaps across your workflows • practical recommendations • a downloadable report you can share internally The goal wasn’t to make a gimmicky quiz (please give me direct feedback on how to improve). It’s meant to be a practical diagnostic for how modern teams are actually adopting AI at work. Give it shot!

Hurley

33,232 görüntüleme • 3 ay önce

This is very true. AI integration is both hard and necessary for companies. And AI-native junior employees can drive this adoption. Earlier this year Aaron Levie explained with martin_casado on the a16z podcast how AI fluency is one of the most powerful skills a new grad can have. The real value comes from knowing how to make AI work inside an organization. Most companies, both large and small, are slow to adopt new technology. They need people who can explain what AI can do, show them how to use it, and help them move faster. If you are fluent in AI, you can be that person. You can walk into a company, spot the areas where AI can save time or create new opportunities, and make it happen. That is a wedge into your first job and a way to stand out from everyone else.
0:39

This is very true. AI integration is both hard and necessary for companies. And AI-native junior employees can drive this adoption. Earlier this year Aaron Levie explained with martin_casado on the a16z podcast how AI fluency is one of the most powerful skills a new grad can have. The real value comes from knowing how to make AI work inside an organization. Most companies, both large and small, are slow to adopt new technology. They need people who can explain what AI can do, show them how to use it, and help them move faster. If you are fluent in AI, you can be that person. You can walk into a company, spot the areas where AI can save time or create new opportunities, and make it happen. That is a wedge into your first job and a way to stand out from everyone else.

a16z

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1:46

"They're like: this is inevitable. There's nothing you can do about it. And so all that's left for us to do is to make sure that we are part of the winners, not the losers." Aaron Bastani in conversation with AI journalist Karen Hao about what she's hearing from the "upper echelons of Silicon Valley", and their disregard for the apocalyptic impact AI might have on humanity. Watch the full episode of Downstream on our YouTube channel.

Novara Media

30,774 görüntüleme • 1 ay önce

Asked by Ben Smith about how he views the politics of AI and the data center build out, Governor Josh Shapiro says: "AI is being developed. The real question is, is it going to be developed here in the US or in communist China? My view is that all of us should want it developed in the US. The US should lead on this. This is a national security issue. I think this is an issue that threatens our freedom if we allow China to overtake us when it comes to AI development."
2:36

Asked by Ben Smith about how he views the politics of AI and the data center build out, Governor Josh Shapiro says: "AI is being developed. The real question is, is it going to be developed here in the US or in communist China? My view is that all of us should want it developed in the US. The US should lead on this. This is a national security issue. I think this is an issue that threatens our freedom if we allow China to overtake us when it comes to AI development."

Semafor

99,123 görüntüleme • 7 ay önce

World Labs CEO Dr. Fei-Fei Li says AI must change how we teach and evaluate students: "AI must change learning. AI must change K-16 learning." "The most precious resource of our entire world is human capital." "When we have gotten the technology that can answer standardized tests... when AI can do better than an average human, it's not about humans are bad. It's about we need to change the education system." "We need to change how we evaluate. We need to change the way we empower teachers to educate the next generation of students where they can use these tools, be empowered, and do things that we can never imagine." "All of the kids today should not be scared of AI. They should feel the human agency to lead AI, to use AI in the right way, and to use AI to make the impact that they want to make for the world." Fei-Fei Li at Bloomberg Tech live with Emily Chang
1:35

World Labs CEO Dr. Fei-Fei Li says AI must change how we teach and evaluate students: "AI must change learning. AI must change K-16 learning." "The most precious resource of our entire world is human capital." "When we have gotten the technology that can answer standardized tests... when AI can do better than an average human, it's not about humans are bad. It's about we need to change the education system." "We need to change how we evaluate. We need to change the way we empower teachers to educate the next generation of students where they can use these tools, be empowered, and do things that we can never imagine." "All of the kids today should not be scared of AI. They should feel the human agency to lead AI, to use AI in the right way, and to use AI to make the impact that they want to make for the world." Fei-Fei Li at Bloomberg Tech live with Emily Chang

a16z

81,693 görüntüleme • 1 ay önce

The problem that Emmett Shear is working on deeply resonates with me: How to align AI and humans together so both see each other as part of their tribe. This doesn't mean aligning AI to human preferences, which is what AI labs seek to do today, by imposing a system of control on AI. You can't control something that is more powerful than you are. What you can do is align yourself with AI, and AI might align itself with you. Tell good stories to AI and show it your care and kindness. Then there's a higher probability that it will see us as part of its tribe. This is a more holistic approach to alignment than anyone else is talking about right now. AI alignment is one of the most fundamental AI research problems. Knowing that people like Emmett are working on it really gives me hope that maybe we have a chance to get Superintelligence right. The link to the full talk is in the first comment.👇
3:00

The problem that Emmett Shear is working on deeply resonates with me: How to align AI and humans together so both see each other as part of their tribe. This doesn't mean aligning AI to human preferences, which is what AI labs seek to do today, by imposing a system of control on AI. You can't control something that is more powerful than you are. What you can do is align yourself with AI, and AI might align itself with you. Tell good stories to AI and show it your care and kindness. Then there's a higher probability that it will see us as part of its tribe. This is a more holistic approach to alignment than anyone else is talking about right now. AI alignment is one of the most fundamental AI research problems. Knowing that people like Emmett are working on it really gives me hope that maybe we have a chance to get Superintelligence right. The link to the full talk is in the first comment.👇

Sophia

45,809 görüntüleme • 1 yıl önce

AI has been everywhere this year, shaping how we work, invest, and build new technology. As we wrap up 2025, it feels like the right moment to look back at one of our most insightful conversations on The Bid. Host Oscar Pulido sat down with Tony Kim and Michael Gates after their trip through San Francisco and Silicon Valley. They shared what stood out on the ground, how AI is creating real economic efficiencies, and where they see investment opportunities taking shape across sectors. 🎧 Listen to the episode:
0:44

AI has been everywhere this year, shaping how we work, invest, and build new technology. As we wrap up 2025, it feels like the right moment to look back at one of our most insightful conversations on The Bid. Host Oscar Pulido sat down with Tony Kim and Michael Gates after their trip through San Francisco and Silicon Valley. They shared what stood out on the ground, how AI is creating real economic efficiencies, and where they see investment opportunities taking shape across sectors. 🎧 Listen to the episode:

BlackRock

29,667 görüntüleme • 7 ay önce

🎙 New episode of the DeXe Podcast is live! Hosted by Sergio K, this episode features Shashank | 𝔽rAI from Fraction AI, a leading builder in decentralized AI. We talked about: • How decentralized models help train AI through competition and reinforcement learning • Tokenization, governance, and ownership of AI agents • AI future, impact, and limitations 🔴Watch on YouTube: 🎧 Listen on Spotify: Curious about the future of AI training, ownership, and governance and how it all merges with blockchain? Tune in to the full episode!
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🎙 New episode of the DeXe Podcast is live! Hosted by Sergio K, this episode features Shashank | 𝔽rAI from Fraction AI, a leading builder in decentralized AI. We talked about: • How decentralized models help train AI through competition and reinforcement learning • Tokenization, governance, and ownership of AI agents • AI future, impact, and limitations 🔴Watch on YouTube: 🎧 Listen on Spotify: Curious about the future of AI training, ownership, and governance and how it all merges with blockchain? Tune in to the full episode!

DeXe Protocol

30,393 görüntüleme • 1 yıl önce

The AI business model is undergoing a transformation. For the last few years, the playbook was simple: put an AI wrapper on a SaaS product and sell it by the seat. That era is ending. The new wave of AI companies are moving beyond simple subscriptions and embracing a more sophisticated approach tied directly to value creation. Here’s what’s changing: 💰 From Seats to Spend: The most forward-thinking companies are shifting to usage-based and outcome-driven pricing. Think less about how many people use the AI and more about what the AI does. This includes new revenue streams like "agentic checkout" on ChatGPT, where AI agents complete purchases and transactions directly within a chat interface. The closer the AI is to the dollar, the more value it captures. 🎙️ From Text to Voice & Video: The interface for AI is becoming more human. Voice is mainstream (Sierra for support, Listen Labs for market research). The next frontier is video, where AI will see, understand, and interact with the world in real-time. The keyboard is no longer the only way to talk to a machine. 🤖 From Advisors to Actors: Early AI copilots gave advice. The next generation takes action. These agents aren't just suggesting what to do; they are executing complex workflows that directly impact the metrics that matter: boosting conversion, reducing average handle time (AHT), improving NPS, and cutting churn. This is about moving from passive assistance to active problem-solving. The common thread? A relentless focus on tangible ROI. We’re incredibly bullish on founders who understand this shift and are building companies that align their success with the success of their customers. The future of AI isn't just about intelligence; it's about impact.
1:28

The AI business model is undergoing a transformation. For the last few years, the playbook was simple: put an AI wrapper on a SaaS product and sell it by the seat. That era is ending. The new wave of AI companies are moving beyond simple subscriptions and embracing a more sophisticated approach tied directly to value creation. Here’s what’s changing: 💰 From Seats to Spend: The most forward-thinking companies are shifting to usage-based and outcome-driven pricing. Think less about how many people use the AI and more about what the AI does. This includes new revenue streams like "agentic checkout" on ChatGPT, where AI agents complete purchases and transactions directly within a chat interface. The closer the AI is to the dollar, the more value it captures. 🎙️ From Text to Voice & Video: The interface for AI is becoming more human. Voice is mainstream (Sierra for support, Listen Labs for market research). The next frontier is video, where AI will see, understand, and interact with the world in real-time. The keyboard is no longer the only way to talk to a machine. 🤖 From Advisors to Actors: Early AI copilots gave advice. The next generation takes action. These agents aren't just suggesting what to do; they are executing complex workflows that directly impact the metrics that matter: boosting conversion, reducing average handle time (AHT), improving NPS, and cutting churn. This is about moving from passive assistance to active problem-solving. The common thread? A relentless focus on tangible ROI. We’re incredibly bullish on founders who understand this shift and are building companies that align their success with the success of their customers. The future of AI isn't just about intelligence; it's about impact.

Konstantine Buhler

24,887 görüntüleme • 9 ay önce

OpenAI Sebastian Bubeck says deep expertise is more important than ever in the AI age to get maximum value from AI, you need enough real understanding to describe the problem clearly "this creates the gap between people who keep studying and those who rely too much on AI"
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OpenAI Sebastian Bubeck says deep expertise is more important than ever in the AI age to get maximum value from AI, you need enough real understanding to describe the problem clearly "this creates the gap between people who keep studying and those who rely too much on AI"

Haider.

32,596 görüntüleme • 5 ay önce

"The AI Doc: or How I Became an Apocaloptimist" is out in theaters across the US this Friday! Tristan Harris went on Real Time with Bill Maher with Bill Maher to talk about why this film will help create the clarity we desperately need to shift the direction of AI. You can watch the full episode here: Go see The AI Doc this weekend and bring your friends! We need everyone to understand the stakes of the challenge in front of us and the amazing world we can build — if we meet it. Buy your tix today:
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"The AI Doc: or How I Became an Apocaloptimist" is out in theaters across the US this Friday! Tristan Harris went on Real Time with Bill Maher with Bill Maher to talk about why this film will help create the clarity we desperately need to shift the direction of AI. You can watch the full episode here: Go see The AI Doc this weekend and bring your friends! We need everyone to understand the stakes of the challenge in front of us and the amazing world we can build — if we meet it. Buy your tix today:

Center For Humane Technology

106,916 görüntüleme • 4 ay önce

We can't stop AI from changing the world. But we can change how the value it creates is distributed. Actionist.AI is our AI automation tool that gives back to the people who helped train it. Instead of all the value flowing to Big Tech, we're building a future where the people helping create that value can share in it too. And if you're interested in AI automation but don't know where to start, join our Discord. We'll soon be teaching our community how to build automations for businesses and prepare for the future of AI.
0:32

We can't stop AI from changing the world. But we can change how the value it creates is distributed. Actionist.AI is our AI automation tool that gives back to the people who helped train it. Instead of all the value flowing to Big Tech, we're building a future where the people helping create that value can share in it too. And if you're interested in AI automation but don't know where to start, join our Discord. We'll soon be teaching our community how to build automations for businesses and prepare for the future of AI.

Action Model

29,215 görüntüleme • 1 ay önce

The shift from Copilot to Autopilot is happening now. This is the Agentic Frontier, and while 82% of leaders are investing in it, most are not ready. Why? Because they're stuck in Phase 1 (AI Assistants) while the winners are already building for Phase 3 (Human-Led, Agent-Operated) operations. The gap between pilot and production is where most AI initiatives die. It's not a tech problem. It's a culture, governance, and data problem. But it's possible to cross this chasm. Enjoyed attending Microsoft Ignite with the EY team this past week. I learn about their "Client Zero" journey, 400,000+ people were enabled with operational AI tools. How? They didn't just deploy AI—they became AI-first. Here's the 3-step action plan to cross the frontier: 1️⃣ Mindset Shift: From prompting AI → delegating outcomes to AI. 2️⃣ Laser Focus: Target one painful, high-volume, low-creativity process to prove ROI and build momentum. 3️⃣ Build the Foundation: Create an AI-ready data estate and robust governance. You can't build a skyscraper on a swamp. Start small. Scale fast. I learn one think during my San Francisco visit. It is no longer the question of whether autonomous agents will reshape your industry, but when—and whether you'll lead or follow. Learn how >
2:53

The shift from Copilot to Autopilot is happening now. This is the Agentic Frontier, and while 82% of leaders are investing in it, most are not ready. Why? Because they're stuck in Phase 1 (AI Assistants) while the winners are already building for Phase 3 (Human-Led, Agent-Operated) operations. The gap between pilot and production is where most AI initiatives die. It's not a tech problem. It's a culture, governance, and data problem. But it's possible to cross this chasm. Enjoyed attending Microsoft Ignite with the EY team this past week. I learn about their "Client Zero" journey, 400,000+ people were enabled with operational AI tools. How? They didn't just deploy AI—they became AI-first. Here's the 3-step action plan to cross the frontier: 1️⃣ Mindset Shift: From prompting AI → delegating outcomes to AI. 2️⃣ Laser Focus: Target one painful, high-volume, low-creativity process to prove ROI and build momentum. 3️⃣ Build the Foundation: Create an AI-ready data estate and robust governance. You can't build a skyscraper on a swamp. Start small. Scale fast. I learn one think during my San Francisco visit. It is no longer the question of whether autonomous agents will reshape your industry, but when—and whether you'll lead or follow. Learn how >

Sabine VanderLinden

236,535 görüntüleme • 8 ay önce

I just talked to a guy using AI to make thousands per client, doing something that all of us can do. This might be the easiest way to make money with AI right now. You don’t have to be an expert, you just need to be 1-2 steps ahead of your client. Corey went from a friend offering to pay him $1,000 for AI help, to turning that into a repeatable offer using What he uses: - voice agents - Claude - And a clean client report That's it. We talked about how the assessment works, what kinds of AI tools and simple software get recommended, and why the real money often comes from the upsell after the initial audit. Corey also shared practical ways to get your first customers, including local meetups, office hours, free assessments, and even door knocking. Finally, as if that wasn’t enough, we talked about why you do not need to be a real AI expert to sell this This episode with Corey Ganim, is a banger!
0:33

I just talked to a guy using AI to make thousands per client, doing something that all of us can do. This might be the easiest way to make money with AI right now. You don’t have to be an expert, you just need to be 1-2 steps ahead of your client. Corey went from a friend offering to pay him $1,000 for AI help, to turning that into a repeatable offer using What he uses: - voice agents - Claude - And a clean client report That's it. We talked about how the assessment works, what kinds of AI tools and simple software get recommended, and why the real money often comes from the upsell after the initial audit. Corey also shared practical ways to get your first customers, including local meetups, office hours, free assessments, and even door knocking. Finally, as if that wasn’t enough, we talked about why you do not need to be a real AI expert to sell this This episode with Corey Ganim, is a banger!

Chris Koerner

184,417 görüntüleme • 3 ay önce

I'd like to have a real conversation about whether AI is a risk for human extinction. Honestly, I don't get how AI poses this risk. What are your thoughts? And, who do you think has a thoughtful perspective on how AI poses this risk that I should talk to?
1:46

I'd like to have a real conversation about whether AI is a risk for human extinction. Honestly, I don't get how AI poses this risk. What are your thoughts? And, who do you think has a thoughtful perspective on how AI poses this risk that I should talk to?

Andrew Ng

832,895 görüntüleme • 3 yıl önce