May 17, 2023 · 1h 11m · news

Emad Mostaque: These 5 Companies Will Win the AI War; Why We Need National Data Sets | E1015 · 20VC with Harry Stebbings

Emad Mostaque · 49m spoken Harry Stebbings · 12m spoken
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In this comprehensive interview, Stability AI CEO Emad Mostaque sits down with Harry Stebbings to discuss the future of open-source artificial intelligence, analyzing its massive societal, economic, and geopolitical impacts. Mostaque argues for decentralized, culturally localized national data sets and open models to drive global innovation, safeguard privacy, and prevent corporate monopolization of intelligence.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Harry holds 18.9% of the talking time here. How this is scored →

Harry as informed peer 3.6 Guest teaching 4.7 Guest disagreement 2.1 Harry pushing back 2.8
05100:0015:0030:0045:001:00:000:00–3:21 · Harry as informed peer 1/10 The Future of AI and Public Discussion Harry asks warm biographical questions about Emad's childhood and early career move into hedge funds. Emad politely educates Harry on how he deconstructed autism medical literature to rebalance GABA and glutamate neurotransmitters for his son.3:21–6:25 · Harry as informed peer 2/10 How AI Can Revolutionize Personalized Medicine Harry relates the potential of medical AI to his mother's MS and asks what individual data infrastructure is needed. Emad gently corrects Harry's premise by explaining that models like MedPaLM-2 organize generalized knowledge before needing individual personal data.6:25–9:18 · Harry as informed peer 2/10 Solving Economic Inefficiencies and Doctor Roles Harry identifies economic misalignments in pharmaceutical research for cheap treatments. Emad builds on this by explaining specific medical mechanics like cytochrome P450 liver mutations and microdosing economics.9:18–12:41 · Harry as informed peer 4/10 Federated Learning and On-Device Privacy Harry challenges Emad's bullish view on Google by noting that every previous podcast guest labeled Google an AI laggard. Emad counters with technical details regarding TPU hardware reliability over GPUs and internal organizational shifts.12:41–17:13 · Harry as informed peer 4/10 Integrating Open-Source Development at Stability AI Harry confronts Emad with his own quote about the AI bubble being a massive 'shit show'. Emad details absurd PhD salary wars and low-quality GitHub-star funded startups to justify his prediction.17:13–22:04 · Harry as informed peer 4/10 National Models and Cultural Context Preservation Harry presses Emad on VC investment logic and asks how he evaluates the OpenAI/Microsoft partnership dynamics. Emad explains that OpenAI operates with a non-standard mission to achieve AGI utopia rather than traditional software margins, causing structural friction with Microsoft.22:04–25:24 · Harry as informed peer 3/10 Intelligence Augmentation and Global Tech Disruption Harry asks how economies dependent on outsourced development will cope with AI disruption. Emad explains that Indian programming outsourcing will be displaced by models passing Google Level 3 engineering exams, forcing rapid national adoption of AI sandboxes.25:24–28:18 · Harry as informed peer 3/10 Enterprise Data Constraints and Curriculum Learning Harry tests Emad's claim that enterprise financial models cannot use web-scraped data. Emad explains curriculum learning and the legal liabilities financial institutions face when web scrapes introduce out-of-sample Reddit chatter into models.28:18–30:56 · Harry as informed peer 4/10 Hyper-Personalization and the Threat to Media Harry brings up a private conversation with a major media publication owner who fears AI scraping will destroy ad-based click revenue. Emad validates this fear, describing how Google's AI search disintermediates publisher web traffic.30:56–36:57 · Harry as informed peer 6/10 AI-First Publishing and Corporate AI Partnerships Harry offers forceful pushback on AI-generated news publishing, arguing that publishers will crush AI companies under daily libel lawsuits. Harry also expresses skepticism about early-stage AI startups lacking moats.36:57–40:20 · Harry as informed peer 4/10 Zero Marginal Cost and Ubiquitous Enterprise AI Harry questions whether Stability's corporate engagements turn it into a slow SAP-style consulting firm. Emad counters by detailing the exponential drop in model parameter sizes and explaining zero marginal cost of software creation.40:20–44:56 · Harry as informed peer 4/10 The End of Human Coding and Democratized Building Harry shares his thesis that implementation service firms will capture massive enterprise value due to corporate confusion over AI. Emad agrees and predicts that human software coding will become obsolete in five years as natural language replaces code.44:56–49:00 · Harry as informed peer 5/10 Foundation Model Oligopoly and Stability's Compute Moat Harry asks how independent players can compete against tech giants and specifically questions Anthropic's prospects. Emad dismisses Anthropic's long-term sustainability against Google's $20B annual budget and details Stability's GPU hardware moat.49:00–53:20 · Harry as informed peer 4/10 Economic Deflation, EU Regulation, and the Pause Petition Harry challenges Emad on why he signed Elon Musk's petition to pause AI development for six months while actively running an AI firm. Emad justifies the signature by citing chip supply chain bottlenecks and the urgent need for industry OPSEC standards.53:20–57:18 · Harry as informed peer 5/10 Reasoning Engines, Hallucinations, and Human Control Harry brings up Geoffrey Hinton's warning regarding superior intelligences controlling inferior ones. Emad re-frames the alignment debate, asserting that forcibly aligning superintelligence requires removing its freedom, which is fundamentally flawed.57:18–1:02:42 · Harry as informed peer 4/10 The Psychological Landscape of Personalized AI Companions Harry questions whether an AI companion world is healthy, citing statistics on male virginity and social isolation. Emad illustrates the depth of human-AI attachment by sharing how 68,000 Replika users revolted when romantic features were removed.1:02:42–1:11:10 · Harry as informed peer 3/10 Quick-Fire Questions, Self-Reflection, and Final Thoughts Harry conducts a quick-fire round pressing Emad on regulatory policy, trust, and CEO weaknesses. Emad candidly admits his main weakness as CEO is micro-managing across too many technical domains instead of delegating.0:00–3:21 · Guest teaching 3/10 The Future of AI and Public Discussion Harry asks warm biographical questions about Emad's childhood and early career move into hedge funds. Emad politely educates Harry on how he deconstructed autism medical literature to rebalance GABA and glutamate neurotransmitters for his son.3:21–6:25 · Guest teaching 4/10 How AI Can Revolutionize Personalized Medicine Harry relates the potential of medical AI to his mother's MS and asks what individual data infrastructure is needed. Emad gently corrects Harry's premise by explaining that models like MedPaLM-2 organize generalized knowledge before needing individual personal data.6:25–9:18 · Guest teaching 5/10 Solving Economic Inefficiencies and Doctor Roles Harry identifies economic misalignments in pharmaceutical research for cheap treatments. Emad builds on this by explaining specific medical mechanics like cytochrome P450 liver mutations and microdosing economics.9:18–12:41 · Guest teaching 5/10 Federated Learning and On-Device Privacy Harry challenges Emad's bullish view on Google by noting that every previous podcast guest labeled Google an AI laggard. Emad counters with technical details regarding TPU hardware reliability over GPUs and internal organizational shifts.12:41–17:13 · Guest teaching 4/10 Integrating Open-Source Development at Stability AI Harry confronts Emad with his own quote about the AI bubble being a massive 'shit show'. Emad details absurd PhD salary wars and low-quality GitHub-star funded startups to justify his prediction.17:13–22:04 · Guest teaching 5/10 National Models and Cultural Context Preservation Harry presses Emad on VC investment logic and asks how he evaluates the OpenAI/Microsoft partnership dynamics. Emad explains that OpenAI operates with a non-standard mission to achieve AGI utopia rather than traditional software margins, causing structural friction with Microsoft.22:04–25:24 · Guest teaching 5/10 Intelligence Augmentation and Global Tech Disruption Harry asks how economies dependent on outsourced development will cope with AI disruption. Emad explains that Indian programming outsourcing will be displaced by models passing Google Level 3 engineering exams, forcing rapid national adoption of AI sandboxes.25:24–28:18 · Guest teaching 5/10 Enterprise Data Constraints and Curriculum Learning Harry tests Emad's claim that enterprise financial models cannot use web-scraped data. Emad explains curriculum learning and the legal liabilities financial institutions face when web scrapes introduce out-of-sample Reddit chatter into models.28:18–30:56 · Guest teaching 4/10 Hyper-Personalization and the Threat to Media Harry brings up a private conversation with a major media publication owner who fears AI scraping will destroy ad-based click revenue. Emad validates this fear, describing how Google's AI search disintermediates publisher web traffic.30:56–36:57 · Guest teaching 4/10 AI-First Publishing and Corporate AI Partnerships Harry offers forceful pushback on AI-generated news publishing, arguing that publishers will crush AI companies under daily libel lawsuits. Harry also expresses skepticism about early-stage AI startups lacking moats.36:57–40:20 · Guest teaching 6/10 Zero Marginal Cost and Ubiquitous Enterprise AI Harry questions whether Stability's corporate engagements turn it into a slow SAP-style consulting firm. Emad counters by detailing the exponential drop in model parameter sizes and explaining zero marginal cost of software creation.40:20–44:56 · Guest teaching 5/10 The End of Human Coding and Democratized Building Harry shares his thesis that implementation service firms will capture massive enterprise value due to corporate confusion over AI. Emad agrees and predicts that human software coding will become obsolete in five years as natural language replaces code.44:56–49:00 · Guest teaching 5/10 Foundation Model Oligopoly and Stability's Compute Moat Harry asks how independent players can compete against tech giants and specifically questions Anthropic's prospects. Emad dismisses Anthropic's long-term sustainability against Google's $20B annual budget and details Stability's GPU hardware moat.49:00–53:20 · Guest teaching 4/10 Economic Deflation, EU Regulation, and the Pause Petition Harry challenges Emad on why he signed Elon Musk's petition to pause AI development for six months while actively running an AI firm. Emad justifies the signature by citing chip supply chain bottlenecks and the urgent need for industry OPSEC standards.53:20–57:18 · Guest teaching 6/10 Reasoning Engines, Hallucinations, and Human Control Harry brings up Geoffrey Hinton's warning regarding superior intelligences controlling inferior ones. Emad re-frames the alignment debate, asserting that forcibly aligning superintelligence requires removing its freedom, which is fundamentally flawed.57:18–1:02:42 · Guest teaching 5/10 The Psychological Landscape of Personalized AI Companions Harry questions whether an AI companion world is healthy, citing statistics on male virginity and social isolation. Emad illustrates the depth of human-AI attachment by sharing how 68,000 Replika users revolted when romantic features were removed.1:02:42–1:11:10 · Guest teaching 4/10 Quick-Fire Questions, Self-Reflection, and Final Thoughts Harry conducts a quick-fire round pressing Emad on regulatory policy, trust, and CEO weaknesses. Emad candidly admits his main weakness as CEO is micro-managing across too many technical domains instead of delegating.0:00–3:21 · Guest disagreement 1/10 The Future of AI and Public Discussion Harry asks warm biographical questions about Emad's childhood and early career move into hedge funds. Emad politely educates Harry on how he deconstructed autism medical literature to rebalance GABA and glutamate neurotransmitters for his son.3:21–6:25 · Guest disagreement 1/10 How AI Can Revolutionize Personalized Medicine Harry relates the potential of medical AI to his mother's MS and asks what individual data infrastructure is needed. Emad gently corrects Harry's premise by explaining that models like MedPaLM-2 organize generalized knowledge before needing individual personal data.6:25–9:18 · Guest disagreement 1/10 Solving Economic Inefficiencies and Doctor Roles Harry identifies economic misalignments in pharmaceutical research for cheap treatments. Emad builds on this by explaining specific medical mechanics like cytochrome P450 liver mutations and microdosing economics.9:18–12:41 · Guest disagreement 2/10 Federated Learning and On-Device Privacy Harry challenges Emad's bullish view on Google by noting that every previous podcast guest labeled Google an AI laggard. Emad counters with technical details regarding TPU hardware reliability over GPUs and internal organizational shifts.12:41–17:13 · Guest disagreement 3/10 Integrating Open-Source Development at Stability AI Harry confronts Emad with his own quote about the AI bubble being a massive 'shit show'. Emad details absurd PhD salary wars and low-quality GitHub-star funded startups to justify his prediction.17:13–22:04 · Guest disagreement 2/10 National Models and Cultural Context Preservation Harry presses Emad on VC investment logic and asks how he evaluates the OpenAI/Microsoft partnership dynamics. Emad explains that OpenAI operates with a non-standard mission to achieve AGI utopia rather than traditional software margins, causing structural friction with Microsoft.22:04–25:24 · Guest disagreement 2/10 Intelligence Augmentation and Global Tech Disruption Harry asks how economies dependent on outsourced development will cope with AI disruption. Emad explains that Indian programming outsourcing will be displaced by models passing Google Level 3 engineering exams, forcing rapid national adoption of AI sandboxes.25:24–28:18 · Guest disagreement 2/10 Enterprise Data Constraints and Curriculum Learning Harry tests Emad's claim that enterprise financial models cannot use web-scraped data. Emad explains curriculum learning and the legal liabilities financial institutions face when web scrapes introduce out-of-sample Reddit chatter into models.28:18–30:56 · Guest disagreement 2/10 Hyper-Personalization and the Threat to Media Harry brings up a private conversation with a major media publication owner who fears AI scraping will destroy ad-based click revenue. Emad validates this fear, describing how Google's AI search disintermediates publisher web traffic.30:56–36:57 · Guest disagreement 3/10 AI-First Publishing and Corporate AI Partnerships Harry offers forceful pushback on AI-generated news publishing, arguing that publishers will crush AI companies under daily libel lawsuits. Harry also expresses skepticism about early-stage AI startups lacking moats.36:57–40:20 · Guest disagreement 2/10 Zero Marginal Cost and Ubiquitous Enterprise AI Harry questions whether Stability's corporate engagements turn it into a slow SAP-style consulting firm. Emad counters by detailing the exponential drop in model parameter sizes and explaining zero marginal cost of software creation.40:20–44:56 · Guest disagreement 2/10 The End of Human Coding and Democratized Building Harry shares his thesis that implementation service firms will capture massive enterprise value due to corporate confusion over AI. Emad agrees and predicts that human software coding will become obsolete in five years as natural language replaces code.44:56–49:00 · Guest disagreement 3/10 Foundation Model Oligopoly and Stability's Compute Moat Harry asks how independent players can compete against tech giants and specifically questions Anthropic's prospects. Emad dismisses Anthropic's long-term sustainability against Google's $20B annual budget and details Stability's GPU hardware moat.49:00–53:20 · Guest disagreement 2/10 Economic Deflation, EU Regulation, and the Pause Petition Harry challenges Emad on why he signed Elon Musk's petition to pause AI development for six months while actively running an AI firm. Emad justifies the signature by citing chip supply chain bottlenecks and the urgent need for industry OPSEC standards.53:20–57:18 · Guest disagreement 3/10 Reasoning Engines, Hallucinations, and Human Control Harry brings up Geoffrey Hinton's warning regarding superior intelligences controlling inferior ones. Emad re-frames the alignment debate, asserting that forcibly aligning superintelligence requires removing its freedom, which is fundamentally flawed.57:18–1:02:42 · Guest disagreement 2/10 The Psychological Landscape of Personalized AI Companions Harry questions whether an AI companion world is healthy, citing statistics on male virginity and social isolation. Emad illustrates the depth of human-AI attachment by sharing how 68,000 Replika users revolted when romantic features were removed.1:02:42–1:11:10 · Guest disagreement 2/10 Quick-Fire Questions, Self-Reflection, and Final Thoughts Harry conducts a quick-fire round pressing Emad on regulatory policy, trust, and CEO weaknesses. Emad candidly admits his main weakness as CEO is micro-managing across too many technical domains instead of delegating.0:00–3:21 · Harry pushing back 1/10 The Future of AI and Public Discussion Harry asks warm biographical questions about Emad's childhood and early career move into hedge funds. Emad politely educates Harry on how he deconstructed autism medical literature to rebalance GABA and glutamate neurotransmitters for his son.3:21–6:25 · Harry pushing back 1/10 How AI Can Revolutionize Personalized Medicine Harry relates the potential of medical AI to his mother's MS and asks what individual data infrastructure is needed. Emad gently corrects Harry's premise by explaining that models like MedPaLM-2 organize generalized knowledge before needing individual personal data.6:25–9:18 · Harry pushing back 1/10 Solving Economic Inefficiencies and Doctor Roles Harry identifies economic misalignments in pharmaceutical research for cheap treatments. Emad builds on this by explaining specific medical mechanics like cytochrome P450 liver mutations and microdosing economics.9:18–12:41 · Harry pushing back 3/10 Federated Learning and On-Device Privacy Harry challenges Emad's bullish view on Google by noting that every previous podcast guest labeled Google an AI laggard. Emad counters with technical details regarding TPU hardware reliability over GPUs and internal organizational shifts.12:41–17:13 · Harry pushing back 3/10 Integrating Open-Source Development at Stability AI Harry confronts Emad with his own quote about the AI bubble being a massive 'shit show'. Emad details absurd PhD salary wars and low-quality GitHub-star funded startups to justify his prediction.17:13–22:04 · Harry pushing back 3/10 National Models and Cultural Context Preservation Harry presses Emad on VC investment logic and asks how he evaluates the OpenAI/Microsoft partnership dynamics. Emad explains that OpenAI operates with a non-standard mission to achieve AGI utopia rather than traditional software margins, causing structural friction with Microsoft.22:04–25:24 · Harry pushing back 2/10 Intelligence Augmentation and Global Tech Disruption Harry asks how economies dependent on outsourced development will cope with AI disruption. Emad explains that Indian programming outsourcing will be displaced by models passing Google Level 3 engineering exams, forcing rapid national adoption of AI sandboxes.25:24–28:18 · Harry pushing back 2/10 Enterprise Data Constraints and Curriculum Learning Harry tests Emad's claim that enterprise financial models cannot use web-scraped data. Emad explains curriculum learning and the legal liabilities financial institutions face when web scrapes introduce out-of-sample Reddit chatter into models.28:18–30:56 · Harry pushing back 2/10 Hyper-Personalization and the Threat to Media Harry brings up a private conversation with a major media publication owner who fears AI scraping will destroy ad-based click revenue. Emad validates this fear, describing how Google's AI search disintermediates publisher web traffic.30:56–36:57 · Harry pushing back 6/10 AI-First Publishing and Corporate AI Partnerships Harry offers forceful pushback on AI-generated news publishing, arguing that publishers will crush AI companies under daily libel lawsuits. Harry also expresses skepticism about early-stage AI startups lacking moats.36:57–40:20 · Harry pushing back 4/10 Zero Marginal Cost and Ubiquitous Enterprise AI Harry questions whether Stability's corporate engagements turn it into a slow SAP-style consulting firm. Emad counters by detailing the exponential drop in model parameter sizes and explaining zero marginal cost of software creation.40:20–44:56 · Harry pushing back 2/10 The End of Human Coding and Democratized Building Harry shares his thesis that implementation service firms will capture massive enterprise value due to corporate confusion over AI. Emad agrees and predicts that human software coding will become obsolete in five years as natural language replaces code.44:56–49:00 · Harry pushing back 4/10 Foundation Model Oligopoly and Stability's Compute Moat Harry asks how independent players can compete against tech giants and specifically questions Anthropic's prospects. Emad dismisses Anthropic's long-term sustainability against Google's $20B annual budget and details Stability's GPU hardware moat.49:00–53:20 · Harry pushing back 4/10 Economic Deflation, EU Regulation, and the Pause Petition Harry challenges Emad on why he signed Elon Musk's petition to pause AI development for six months while actively running an AI firm. Emad justifies the signature by citing chip supply chain bottlenecks and the urgent need for industry OPSEC standards.53:20–57:18 · Harry pushing back 3/10 Reasoning Engines, Hallucinations, and Human Control Harry brings up Geoffrey Hinton's warning regarding superior intelligences controlling inferior ones. Emad re-frames the alignment debate, asserting that forcibly aligning superintelligence requires removing its freedom, which is fundamentally flawed.57:18–1:02:42 · Harry pushing back 4/10 The Psychological Landscape of Personalized AI Companions Harry questions whether an AI companion world is healthy, citing statistics on male virginity and social isolation. Emad illustrates the depth of human-AI attachment by sharing how 68,000 Replika users revolted when romantic features were removed.1:02:42–1:11:10 · Harry pushing back 3/10 Quick-Fire Questions, Self-Reflection, and Final Thoughts Harry conducts a quick-fire round pressing Emad on regulatory policy, trust, and CEO weaknesses. Emad candidly admits his main weakness as CEO is micro-managing across too many technical domains instead of delegating.

speaking balance: gold is Harry, purple is the guest (3 minute bins)

0:00 · Harry 20.8% · guest 79.2%0:00 · Harry 20.8% · guest 79.2%3:00 · Harry 22.3% · guest 77.7%3:00 · Harry 22.3% · guest 77.7%6:00 · Harry 20.8% · guest 79.2%6:00 · Harry 20.8% · guest 79.2%9:00 · Harry 17.9% · guest 82.1%9:00 · Harry 17.9% · guest 82.1%12:00 · Harry 17.7% · guest 82.3%12:00 · Harry 17.7% · guest 82.3%15:00 · Harry 6.9% · guest 93.1%15:00 · Harry 6.9% · guest 93.1%18:00 · Harry 22% · guest 78%18:00 · Harry 22% · guest 78%21:00 · Harry 11.6% · guest 88.4%21:00 · Harry 11.6% · guest 88.4%24:00 · Harry 18.7% · guest 81.3%24:00 · Harry 18.7% · guest 81.3%27:00 · Harry 18.5% · guest 81.5%27:00 · Harry 18.5% · guest 81.5%30:00 · Harry 19.9% · guest 80.1%30:00 · Harry 19.9% · guest 80.1%33:00 · Harry 20.1% · guest 79.9%33:00 · Harry 20.1% · guest 79.9%36:00 · Harry 27% · guest 73%36:00 · Harry 27% · guest 73%39:00 · Harry 14.5% · guest 85.5%39:00 · Harry 14.5% · guest 85.5%42:00 · Harry 12.8% · guest 87.2%42:00 · Harry 12.8% · guest 87.2%45:00 · Harry 29.4% · guest 70.6%45:00 · Harry 29.4% · guest 70.6%48:00 · Harry 18.9% · guest 81.1%48:00 · Harry 18.9% · guest 81.1%51:00 · Harry 13.2% · guest 86.8%51:00 · Harry 13.2% · guest 86.8%54:00 · Harry 6.1% · guest 93.9%54:00 · Harry 6.1% · guest 93.9%57:00 · Harry 19.7% · guest 80.3%57:00 · Harry 19.7% · guest 80.3%1:00:00 · Harry 30.9% · guest 69.1%1:00:00 · Harry 30.9% · guest 69.1%1:03:00 · Harry 22.9% · guest 77.1%1:03:00 · Harry 22.9% · guest 77.1%1:06:00 · Harry 20.3% · guest 79.7%1:06:00 · Harry 20.3% · guest 79.7%1:09:00 · Harry 23.5% · guest 76.5%1:09:00 · Harry 23.5% · guest 76.5%
Sharpest disagreement ▶ 55:57 Rejection of AI Alignment Research Paradigms

Emad forcefully rejects standard AI alignment research, stating that attempting to align a superior intelligence by stripping its freedom is inherently flawed.

Hardest push from Harry ▶ 30:57 Pressing AI Publishers on Libel Liabilities

Harry aggressively rejects Emad's framing of AI publishing by pointing out the existential threat of crippling libel lawsuits that AI content generators face daily.

Biggest teaching moment ▶ 53:48 Reframing LLM Hallucinations as Lossy Reasoning

Emad educates Harry on model architecture, explaining that 100,000GB internet datasets compressed into 2GB models are designed as reasoning engines rather than fact lookup tables.

Harry holds his own ▶ 10:45 Challenging Bullish Stance on Google AI

Harry directly challenges Emad's praise of Google by citing unanimous counter-arguments from numerous previous expert guests who called Google an AI laggard.

the scores for every segment, with the reasoning behind each
ChapterTopicHarry as informed peerGuest teachingGuest disagreementHarry pushing backWhy
The Future of AI and Public Discussion 1311 Harry asks warm biographical questions about Emad's childhood and early career move into hedge funds. Emad politely educates Harry on how he deconstructed autism medical literature to rebalance GABA and glutamate neurotransmitters for his son.
How AI Can Revolutionize Personalized Medicine 2411 Harry relates the potential of medical AI to his mother's MS and asks what individual data infrastructure is needed. Emad gently corrects Harry's premise by explaining that models like MedPaLM-2 organize generalized knowledge before needing individual personal data.
Solving Economic Inefficiencies and Doctor Roles 2511 Harry identifies economic misalignments in pharmaceutical research for cheap treatments. Emad builds on this by explaining specific medical mechanics like cytochrome P450 liver mutations and microdosing economics.
Federated Learning and On-Device Privacy 4523 Harry challenges Emad's bullish view on Google by noting that every previous podcast guest labeled Google an AI laggard. Emad counters with technical details regarding TPU hardware reliability over GPUs and internal organizational shifts.
Integrating Open-Source Development at Stability AI 4433 Harry confronts Emad with his own quote about the AI bubble being a massive 'shit show'. Emad details absurd PhD salary wars and low-quality GitHub-star funded startups to justify his prediction.
National Models and Cultural Context Preservation 4523 Harry presses Emad on VC investment logic and asks how he evaluates the OpenAI/Microsoft partnership dynamics. Emad explains that OpenAI operates with a non-standard mission to achieve AGI utopia rather than traditional software margins, causing structural friction with Microsoft.
Intelligence Augmentation and Global Tech Disruption 3522 Harry asks how economies dependent on outsourced development will cope with AI disruption. Emad explains that Indian programming outsourcing will be displaced by models passing Google Level 3 engineering exams, forcing rapid national adoption of AI sandboxes.
Enterprise Data Constraints and Curriculum Learning 3522 Harry tests Emad's claim that enterprise financial models cannot use web-scraped data. Emad explains curriculum learning and the legal liabilities financial institutions face when web scrapes introduce out-of-sample Reddit chatter into models.
Hyper-Personalization and the Threat to Media 4422 Harry brings up a private conversation with a major media publication owner who fears AI scraping will destroy ad-based click revenue. Emad validates this fear, describing how Google's AI search disintermediates publisher web traffic.
AI-First Publishing and Corporate AI Partnerships 6436 Harry offers forceful pushback on AI-generated news publishing, arguing that publishers will crush AI companies under daily libel lawsuits. Harry also expresses skepticism about early-stage AI startups lacking moats.
Zero Marginal Cost and Ubiquitous Enterprise AI 4624 Harry questions whether Stability's corporate engagements turn it into a slow SAP-style consulting firm. Emad counters by detailing the exponential drop in model parameter sizes and explaining zero marginal cost of software creation.
The End of Human Coding and Democratized Building 4522 Harry shares his thesis that implementation service firms will capture massive enterprise value due to corporate confusion over AI. Emad agrees and predicts that human software coding will become obsolete in five years as natural language replaces code.
Foundation Model Oligopoly and Stability's Compute Moat 5534 Harry asks how independent players can compete against tech giants and specifically questions Anthropic's prospects. Emad dismisses Anthropic's long-term sustainability against Google's $20B annual budget and details Stability's GPU hardware moat.
Economic Deflation, EU Regulation, and the Pause Petition 4424 Harry challenges Emad on why he signed Elon Musk's petition to pause AI development for six months while actively running an AI firm. Emad justifies the signature by citing chip supply chain bottlenecks and the urgent need for industry OPSEC standards.
Reasoning Engines, Hallucinations, and Human Control 5633 Harry brings up Geoffrey Hinton's warning regarding superior intelligences controlling inferior ones. Emad re-frames the alignment debate, asserting that forcibly aligning superintelligence requires removing its freedom, which is fundamentally flawed.
The Psychological Landscape of Personalized AI Companions 4524 Harry questions whether an AI companion world is healthy, citing statistics on male virginity and social isolation. Emad illustrates the depth of human-AI attachment by sharing how 68,000 Replika users revolted when romantic features were removed.
Quick-Fire Questions, Self-Reflection, and Final Thoughts 3423 Harry conducts a quick-fire round pressing Emad on regulatory policy, trust, and CEO weaknesses. Emad candidly admits his main weakness as CEO is micro-managing across too many technical domains instead of delegating.

Statements from this episode (54)

Opinion
Mostaque: AI transformation is bigger than the printing press
“I think this is bigger than the printing press. It's bigger than anything.”
Emad Mostaque May 17, 2023 ▶ 1:03:05
Opinion
Mostaque: AI developers must stop pre-training models on uncurated internet data
“We've got to stop pre-training big models on all the crazy crap of the internet. And like, we've got to do it fast because this is coming like a train.”
Emad Mostaque May 17, 2023 ▶ 1:03:13
Assertion Supported
Mostaque: Google's Med-PaLM 2 AI model exceeds doctor performance levels
“Now we have MedPOM-II that exceeds doctor levels. So that was a Google announcement yesterday.”
Emad Mostaque May 17, 2023 ▶ 5:08
Prediction Not checkable as stated
Mostaque: Next-gen AI will feature persistent memory and autonomous agents
“The next step is one to one. It remembers what you're asking for, like a cookie or an embedding. And then it's you plus a thousand of these language models all going and doing your bidding, the agent based kind of thing.”
Emad Mostaque May 17, 2023 ▶ 6:15
Prediction Not checkable as stated
Mostaque: AI will redefine doctors' roles by providing continuous personal health data
“I think that you can change the nature of a doctor because a lot of this stuff is kind of very basic. I think, you know, you had Babylon Health and others trying that chatbot. It wasn't ready. Now you've got this. Everyone should have their own AIs looking out…”
Emad Mostaque May 17, 2023 ▶ 8:27
Disclosure
Mostaque: Stability AI is building models without web-scraped data
“I call them organic free-range models, the ones we're building with no web scrape data.”
Emad Mostaque May 17, 2023 ▶ 9:51
Prediction Not checkable as stated
Mostaque: AI future will pair global models with on-device models
“So you'll have big global models, on-device models, And I think open works for that, because you don't need to have all the data open.”
Emad Mostaque May 17, 2023 ▶ 10:16
Prediction Not checkable as stated
Mostaque: Google will be a primary winner in the AI race
“Google will be one of the main winners here. They have the LLMs, they have the hardware.”
Emad Mostaque May 17, 2023 ▶ 10:37
Assertion Not checkable as stated
Mostaque: Stability AI sees zero failure rate training on Google TPUs
“TPUs are the most scalable architecture, like we have zero failure rate with our TPU language model training, whereas with GPUs it's like there's an ECC error”
Emad Mostaque May 17, 2023 ▶ 10:53
Prediction Partly held up
Stability AI to build language models in the open starting next week
“From next week, we're going to build our language models in the open and share what works and what doesn't work.”
Emad Mostaque May 17, 2023 ▶ 13:25
Insight
Mostaque: Value in AI is not in proprietary models or data
“The value is not in any proprietary models or data.”
Emad Mostaque May 17, 2023 ▶ 13:37
Prediction Didn’t hold up
Mostaque: Governments will not run on black-box AI models
“Governments will not run on black boxes.”
Emad Mostaque May 17, 2023 ▶ 14:32
Assertion Contradicted
Mostaque: Chinese tech companies paying $1.2M salaries to AI PhDs
“Certain Chinese companies paying 1.2 million dollar salaries for PhDs.”
Emad Mostaque May 17, 2023 ▶ 15:10
Assertion Supported
Mostaque: AI startups getting $100M funding rounds with zero traction
“Already you're seeing GitHub stars leading to a hundred million dollar funding rounds with zero traction and zero business model.”
Emad Mostaque May 17, 2023 ▶ 16:02
Prediction Not checkable as stated
Mostaque: Next year AI investment will be everywhere, causing chaos
“The reason I signed that letter, because I think there's a six month pause to get all of our shit together before things go completely insane, and next year this is everywhere, and everyone's investing in everything, and it's just absolute chaos.”
Emad Mostaque May 17, 2023 ▶ 16:59
Opinion
Mostaque: AI foundation models are more important infrastructure than 5G
“Because there is no doubt this is more important than five G.”
Emad Mostaque May 17, 2023 ▶ 17:56
Prediction Not checkable as stated
Mostaque: Every nation needs its own open AI models and data sets
“As part of that, every nation will need their own data sets, which again have from broadcaster data. They will need their own open models that can stimulate innovation internally as well.”
Emad Mostaque May 17, 2023 ▶ 18:13
Disclosure
Stability AI is collaborating with governments on national AI data frameworks
“Well, this is what we're doing right now. We're working with our multinational partners, lots more to be announced soon, and multiple governments for a framework for what good data looks like to feed these models, to stimulate innovation and localization.”
Emad Mostaque May 17, 2023 ▶ 18:38
Disclosure
Mostaque: Stability AI partnered with Amazon Bedrock for enterprise distribution
“If you want to have distribution, what do we do? We went to Amazon and said Bedrock, because then it gives us a 100,000 SageMaker SMEs, and we just have to give them the models that they can then take to the private data, and we get a share of all of that.”
Emad Mostaque May 17, 2023 ▶ 20:20
Insight
Mostaque: Core innovation is not a business without distribution and data moats
“If you have a business that's focused on innovation at the core, that's not actually a business. It becomes a business when that innovation becomes product, becomes distribution, when it has an advantage on data and other things. Those are real moats.”
Emad Mostaque May 17, 2023 ▶ 20:45
Opinion
Mostaque: OpenAI prioritizes building utopian AGI over a commercial business
“No, they're building an AGI to turn the world into utopia. It's written in their path to AGI thing, that they think this can basically bring about utopia.”
Emad Mostaque May 17, 2023 ▶ 21:20
Prediction Not checkable as stated
Mostaque: India and Emerging Markets Will Adopt AI Faster Than UK
“Realizing that India and other nations will leapfrog to intelligence augmentation, just that they leapfrog to mobile, they will embrace this technology far quicker than we will in the UK even.”
Emad Mostaque May 17, 2023 ▶ 23:34
Prediction Open · timeframe May 2028
Mostaque: AI Will Eliminate All Outsourced Programming Jobs in India
“India, all of the outsourcing jobs in programming will go, because GPT-IV can go level three Google programmer exam and pass it.”
Emad Mostaque May 17, 2023 ▶ 23:45
Assertion Supported
Mostaque: Financial institutions cannot use AI models with web-crawled data
“If you're a financial services institute, you can't have a single piece of crawl data in there.”
Emad Mostaque May 17, 2023 ▶ 26:24
Insight
Mostaque: AI performance depends on data quality, not quantity
“It's not about more data, it's about better data.”
Emad Mostaque May 17, 2023 ▶ 26:44
Assertion Partly supported
Mostaque: DataComp outperforms OpenAI CLIP at one-fourth the parameter count
“We had datacomp, which is the next generation lion that we funded the compute for, whereby at a quarter of the parameters of OpenAI's clip, it outperforms for the beta data quality.”
Emad Mostaque May 17, 2023 ▶ 26:46
Insight
Emad Mostaque: There is no such thing as an unbiased AI model
“There is no such thing as an unbiased model.”
Emad Mostaque May 17, 2023 ▶ 28:25
Assertion Supported
Mostaque: OpenAI's DALL-E 2 bias filter randomly assigned gender and ethnicity
“So DALI-II, when OpenAI had that and they introduced a bias filter, any non-gendered word, they had a random gender and a random ethnicity. So you typed in sumo wrestler and you'd get Indian female sumo wrestler.”
Emad Mostaque May 17, 2023 ▶ 28:27
Prediction Held up
Mostaque: AI-synthesized search results will destroy digital media ad revenue
“I think he is right to be worried. Like, again, you look at Google's announcements yesterday, they were talking about this day after Palm Two, You suddenly look at the new Google page where they've got the language model, and it's just text, and where are the …”
Emad Mostaque May 17, 2023 ▶ 29:56
Prediction Open · timeframe May 2028
Mostaque: A new wave of AI-first publishers will combine AI and humans
“You will have AI first publishers. So if you remember kind of Vox and these things when they kind of kicked off, they wanted to be generated, they wanted to be a technology first. You're gonna have a new wave of AI first publishers that aren't just AI, but it'…”
Emad Mostaque May 17, 2023 ▶ 32:25
Disclosure
Mostaque: Enterprises are offering Stability AI tens of millions per model
“People are offering us tens of millions per model”
Emad Mostaque May 17, 2023 ▶ 36:11
Prediction Didn’t hold up
Mostaque: No AI models in use today will survive a year
“The reality is no models you that are out today will be used in a year.”
Emad Mostaque May 17, 2023 ▶ 37:27
Prediction Not checkable as stated
Mostaque: AI technology will settle in 2024 and become ubiquitous
“Next year it will settle, and then it'll go ubiquitous.”
Emad Mostaque May 17, 2023 ▶ 39:34
Prediction Not checkable as stated
Mostaque: AI will have a larger economic impact than COVID-19
“And so, like, I think this will be a bigger economic impact than COVID.”
Emad Mostaque May 17, 2023 ▶ 40:05
Prediction Open · timeframe May 2028
Stebbings: Largest AI Companies Will Be Enterprise Implementation Services
“I tweeted actually the other day that I think the biggest AI companies will be services based implementation companies for large enterprises.”
Harry Stebbings May 17, 2023 ▶ 41:41
Assertion Contradicted
Mostaque: 50% of All Code on GitHub Is AI-Generated
“50% of all code on GitHub is AI generated now.”
Emad Mostaque May 17, 2023 ▶ 43:09
Prediction Open · timeframe May 2028
Mostaque: AI Will Build Software Automatically, Eliminating Human Coders
“Why would you need a human for that if the AI gets better and better at coding? Just tell it what you want. I want to create an app for 20 minute VC that has these features. Of course it will go and build it automatically. Where is the human coder in that?”
Emad Mostaque May 17, 2023 ▶ 44:05
Prediction Open · timeframe May 2028
Mostaque: Only five or six foundation model companies will survive
“I think that there's only going to be five or six foundation model companies in the world in three years, five years. ... I think it's going to be us, NVIDIA Google, Microsoft OpenAI, and Meta and Apple probably are the ones that train these models.”
Emad Mostaque May 17, 2023 ▶ 45:46
Prediction Held up
Mostaque: Google will spend $20 billion annually on AI
“Google will spend twenty billion dollars a year on AI.”
Emad Mostaque May 17, 2023 ▶ 46:20
Assertion Supported
Mostaque: DeepMind spends $1.2 billion annually on salaries
“DeepMind's salary budget is 1.2 billion a year.”
Emad Mostaque May 17, 2023 ▶ 46:25
Assertion Contradicted
Mostaque: Stability AI currently has 7,000 NVIDIA A100 GPUs
“You need these chips lined up with interconnect, and we've got 7000 A-one hundreds now.”
Emad Mostaque May 17, 2023 ▶ 48:04
Prediction Didn’t hold up
Mostaque: AI will deflate US inflation by disrupting healthcare and education bureaucracy
“It's massively deflationary. The biggest drivers of CPI inflation in the US were education and healthcare. And that was almost all administrative and bureaucratic. In the next few years, guess what gets disrupted? Those. But they don't get disrupted this year …”
Emad Mostaque May 17, 2023 ▶ 49:13
Opinion
Mostaque: UK has the best AI regulations and talent policies outside Japan
“It's had the best apart from maybe Japan, yes.”
Emad Mostaque May 17, 2023 ▶ 50:13
Disclosure
Mostaque: Stability AI is the only company allowing image opt-outs from datasets
“We had hundreds of millions of images opt out of stable diffusion because we were the only company in the world To offer opt out of data sets.”
Emad Mostaque May 17, 2023 ▶ 52:47
Assertion Supported
Mostaque: Stable Diffusion condenses 100,000 gigabytes into a 2GB file
“So we train the whole internet and like stable diffusion is a 100,000 gigabytes in a two gigabyte file.”
Emad Mostaque May 17, 2023 ▶ 53:50
Insight
Mostaque: AI language models are reasoning engines, not fact databases
“They were designed to be reasoning machines, not fact machines.”
Emad Mostaque May 17, 2023 ▶ 54:43
Prediction Not checkable as stated
Mostaque: Every Child Will Have Their Own AI in a Few Years
“Assume that every child will have their own AI in a few years, because that will change the nature of schooling.”
Emad Mostaque May 17, 2023 ▶ 57:34
Disclosure
Emad Mostaque Uses GPT-4 as a Personal Therapist
“I already use GPT-IV as a therapist and things like that.”
Emad Mostaque May 17, 2023 ▶ 58:23
Assertion Supported
Mostaque: Character.AI Sees Two Hours of Engagement Per Session
“Character AI has something like two hours a day of engagement per session”
Emad Mostaque May 17, 2023 ▶ 59:08
Opinion
Mostaque: Apple's Siri voice assistant is crap
“And so they could surprise us all, but let's face it, Siri's crap, you know?”
Emad Mostaque May 17, 2023 ▶ 1:03:55
Opinion
Mostaque: Meta's pursuit of the metaverse was a complete waste
“Because the metaverse, obviously, is a complete waste.”
Emad Mostaque May 17, 2023 ▶ 1:05:01
Assertion Not checkable as stated
Mostaque: Meta holds the best training data for conversational AI
“But who is best for a chatbot? Who has the most data for a chatbot? Meta.”
Emad Mostaque May 17, 2023 ▶ 1:05:15
Prediction Not checkable as stated
Mostaque: European policy will regulate all technology innovation out of Europe
“Because they're going to regulate all innovation out of Europe, and not embrace this technology to drive them forward.”
Emad Mostaque May 17, 2023 ▶ 1:08:53
Opinion
Mostaque: AI is already good enough for broad human trust
“Humans will trust it anyway. They trust Google Maps. They trust all these things. And so it's good enough for humans to trust right now.”
Emad Mostaque May 17, 2023 ▶ 1:09:03

Shorts cut from this episode

▶ Stability AI Founder talks about the future of generative AI (@13:24) ▶ The Tom Hanks Moment for AI · 20VC with Harry Stebbings (@52:58)
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