Episodes

Thumbnail for Chip Stocks Crash, $20B Fund Margin Called, Frontier Labs: SLOW DOWN AI, Mamdani's Grocery Stores
Chip Stocks Crash, $20B Fund Margin Called, Frontier Labs: SLOW DOWN AI, Mamdani's Grocery Stores

All-In Podcast

7/31/2026


The podcast begins by analyzing a massive market correction in semiconductor and tech stocks, highlighted by former OpenAI researcher Leopold Aschenbrenner facing a devastating Margin Call. His excessive use of Leverage in trading caused massive losses, leading to his portfolio being purchased by Citadel, the firm founded by Ken Griffin. The market shockwave hit South Korea exceptionally hard, causing liquidations that severely impacted local giants Samsung and SK Hynix. Simultaneously, US-listed semiconductor mainstays like Nvidia, TSMC, AMD, Micron, and Broadcom all faced steep declines. The hosts attribute this to concerns over the massive AI Capex buildout and macro factors: US Treasuries are yielding highly attractive rates because the Federal Reserve is maintaining strict policies to combat Inflation. This inflation is driven by excessive Government spending that continues to bloat the Federal Debt. In the geopolitical sphere, China is reshaping the future by heavily investing in Fusion Energy to meet global Energy demands, while tech leaders like Elon Musk push for Solar Energy expansion. Additionally, China is driving the Commoditization of software through highly capable Open source models like Kimmy. These accessible alternatives threaten the closed-source Duopoly maintained by OpenAI and anthropic. Seeking alternatives to the duopoly, companies like Perplexity and founders like Jack Dorsey are actively embracing these open ecosys

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Thumbnail for The $1/Hour Robot Is Coming: Four Industry Leaders Explain What’s Next
The $1/Hour Robot Is Coming: Four Industry Leaders Explain What’s Next

All-In Podcast

7/29/2026


In a special episode of the All-In Podcast sponsored by AppLovin, host JCal (Jason Calacanis) interviews four robotics leaders at the Machina conference in Paris, France. The conversations explore how AI (Artificial Intelligence), GPU, and Cloud Computing are accelerating the physical deployment of robots. Dr. Péter Fankhauser of ANYbotics highlights the success of Four-Legged Robot Dogs in Industrial Applications of Robotics. He warns against Chinese Robotics Security Risks and firmly opposes the development of Autonomous Weapons by authoritarian regimes like China. He stresses the need for Europe to strengthen its defense tech ecosystem alongside NATO. Bernt Børnich, CEO of 1X, introduces NEO, a bipedal robot launching in 2026. He views NEO as a Platform strategy, allowing foundational models from OpenAI and Claude to run on its hardware. He notes they look to Tesla as a model for consumer distribution. 1X employs Teleoperation, Cross-embodiment, and vast internet video datasets to build robust World Models that overcome the Sim-to-real gap. Børnich predicts a Hard Takeoff within a decade, where Embodied AGI enables robots to build more robots, transforming the economy. Amanda McMaster, interim CEO of Boston Dynamics (now backed by Hyundai), discusses the commercial success of their quadruped Spot and the bipedal humanoid Atlas. Moving toward a Robot as a Service model, they partner with organizations like Google DeepMin

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Thumbnail for The Fight Over Open Source AI, Anthropic's $1.5B Payout, NYC Socialists: Evictions = Violence?
The Fight Over Open Source AI, Anthropic's $1.5B Payout, NYC Socialists: Evictions = Violence?

All-In Podcast

7/24/2026


The episode features hosts David Sacks, David Friedberg, Chamath Palihapitiya, and Jason Calacanis discussing major business, tech, and political themes. First, they analyze the massive leap in Open source AI capabilities with the release of Kimmy by the China-based lab Moonshot AI, which has sparked panic at leading American labs. They discuss how Anthropic, led by Dario Amodei, and OpenAI, led by Sam Altman, are actively lobbying the Donald Trump Administration and the White House to push for Regulatory Capture. By trying to ban foreign open models, they cite national security and intellectual property theft via Distillation (AI) as justifications. David Sacks notes the hypocrisy of these companies, referencing debates involving Michael Kratsios and Howard Lutnick, and argues a ban would destroy American developers who need access to open weights. Chamath Palihapitiya contends this lobbying is an attempt to fight inevitable AI Commoditization, asserting that future value lies in Enterprise AI applications and AI Infrastructure rather than foundational models. He and Jason Calacanis agree that implementing KYC/AML checks would prevent distillation far better than an outright ban. Jason Calacanis notes that many startups are moving to open source, utilizing providers like 8090 for their enterprise implementations. The podcast also dissects Anthropic's $1.5 billion settlement for using pirated books, highlighting the complex legal landscape of Fair Use and Co

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Thumbnail for Mark Cuban on the AI Bubble: Who Actually Gets Wiped Out?
Mark Cuban on the AI Bubble: Who Actually Gets Wiped Out?

All-In Podcast

7/21/2026


In this comprehensive discussion on the All-In Podcast, Mark Cuban engages with Jason Calacanis to explore the nuances of the current AI Bubble. He contrasts this era with previous tech bubbles, noting that massive investments from Venture Capital and Private Equity are currently keeping the bubble private, heavily funding frontier companies like OpenAI, Anthropic, and SpaceX. This unprecedented influx of capital has triggered a massive wave of AI Capex directed toward building physical Data centers. Tech giants like Google, Meta, and Microsoft are leading this charge, attempting to commercialize Enterprise AI. However, Cuban notes that deploying AI directly into traditional enterprises is incredibly challenging, a sentiment echoed by Alex Karp of Palantir, who emphasizes the absolute necessity of utilizing forward-deployed engineers. Despite these enterprise hurdles, Cuban is highly optimistic about AI democratization for smaller businesses, highlighting his investments in startups like Lovable, led by Anton Osika. He also backs Synthesia and Matter.com, pushing beyond text processing to focus on video generation and spatial understanding. The conversation touches on AMI, a project associated with Yann LeCun focused on building World Models. These models are positioned to ultimately surpass traditional Large Language Models (LLMs) and Transformers. In the medical field, Cuban points out that AI in Healthcare is creating a revolution in self-directed patient care, support

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Thumbnail for Can the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
Can the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters

All-In Podcast

7/17/2026


The All-In Podcast hosts, including Jason Calacanis, David Sacks, Chamath Palihapitiya, and David Friedberg, discuss critical tech and market developments. The conversation opens with DeepMind CEO Demis Hassabis proposing a new framework for AI Regulation, modeled after FINRA as an SRO. This contrasts with the restrictive FAA for AI model supported by Dario Amodei and anthropic, or the bureaucratic DMV for AI, which critics argue leads to Regulatory Capture and harms Open source AI. In corporate news, Stripe, Block (led by Jack Dorsey), and Advent are collaborating on an acquisition bid for PayPal, which includes assets like Venmo and Braintree. This move, reminiscent of strategies by Ryan Cohen and Bending Spoons, positions them to challenge financial giants Visa and Mastercard. Meanwhile, Apple and its CEO Tim Cook have filed a lawsuit against OpenAI (led by Sam Altman), alleging that former executive Tang Tan stole valuable Intellectual Property. In AI development, SpaceX and xAI, both led by Elon Musk, faced an AI Privacy incident involving the Grok model. As AI costs spiral, Eric Glyman of Ramp introduced Token Spend Management tools to control budgets, while Mira Murati and local compute hardware like the Mac Studio offer cheaper alternatives. On the infrastructure front, Kathy Hochul, the Governor of New York, signed a moratorium halting new AI Data Centers, severely impacting the Ene

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Thumbnail for Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe Coding
Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe Coding

All-In Podcast

7/15/2026


In a recent episode of the All-In Podcast, Jason Calacanis interviewed former Intel CEO Pat Gelsinger about the strategic missteps that allowed competitors like Nvidia and TSMC to demolish their market lead. Gelsinger lamented how Intel lost its culture of being driven by deeply technical leaders like Andy Grove, shifting away from the ethos of Founder-led companies. Even non-founders like Satya Nadella and Sundar Pichai succeed because they are technical, unlike the business leaders who took over. Poor Capital Allocation, such as prioritizing dividends over R&D, led to missing critical adoptions like EUV lithography, which is essential for the Foundry model. They also shut down the Larrabee project while Nvidia, led by Jensen Huang, compounded its lead with CUDA. This technical stagnation drove Steve Jobs to abandon the x86 architecture and develop proprietary Apple Silicon for Apple. On geopolitics, Gelsinger warned of global vulnerability if China were to blockade Taiwan, emphasizing the critical need for the CHIPS Act to bolster domestic manufacturing and Supply chain resiliency. Addressing the massive AI Infrastructure Buildout, Gelsinger argued that physical limits of energy consumption for AI will act as a natural governor against an unchecked AI Bubble. Meanwhile, the falling cost of AI Tokens will continue to unlock infinite demand according to Jevons' Paradox, benefiting hardware innovators like Cerebras and Groq. Looking ahead, Gelsinge

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Thumbnail for The Trillion-Dollar Industries AI Is Disrupting: Voice, Law & the End of the Billable Hour
The Trillion-Dollar Industries AI Is Disrupting: Voice, Law & the End of the Billable Hour

All-In Podcast

7/13/2026


This episode of the All-In Podcast explores the massive disruption caused by artificial intelligence in multi-billion dollar industries, specifically focusing on voice generation and legal services. The hosts first interview Mati, CEO of ElevenLabs, a company experiencing hypergrowth by reaching $600M ARR. ElevenLabs is revolutionizing Voice AI through advanced Text-to-speech and Speech-to-text technologies, creating highly realistic AI agents for enterprise clients like Revolut and Klarna. They have pioneered interactive voice experiences by licensing the likeness of celebrities like Matthew McConaughey and Gordon Ramsay on Masterclass. Furthermore, the estate of James Earl Jones licensed the iconic Darth Vader voice in partnership with Disney, for use by Epic Games in Fortnite. To manage hypergrowth, ElevenLabs operates without traditional Product Managers, instead embedding engineers across all teams and leveraging Vibe Coding. While competing with Frontier models from OpenAI and Anthropic, they remain agnostic, supporting Open source models to maintain a competitive edge. They are actively addressing security concerns around AI Deepfakes and testing tools like Whisper Flow. They also focus on social impact, restoring the voice of Congresswoman Jennifer Wexton. Partnerships with wellness apps like Headspace and its competitor Calm further expand their reach, pushing boundaries toward a voice-based AGI (Artificial General Intelligence). In the second

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Thumbnail for OpenAI vs Anthropic IPOs, Anthropic $3T, Zuck's Price War, China Ends Open Source?, Trump Accounts
OpenAI vs Anthropic IPOs, Anthropic $3T, Zuck's Price War, China Ends Open Source?, Trump Accounts

All-In Podcast

7/10/2026


The podcast features a comprehensive discussion among the hosts Brad Gerstner, Chamath Palihapitiya, David Sacks, and Jason Calacanis covering the macroeconomic landscape, the rapid evolution of Artificial Intelligence (AI), and major philanthropic initiatives. The hosts begin by analyzing the Venture Capital Market and the highly anticipated trillion-dollar IPOs of OpenAI and Anthropic. They compare these potential public offerings to the textbook execution of the SpaceX IPO, praising the leadership of Elon Musk and President Gwen Shotwell. A critical debate emerges around AI ROI and Token Spend Management in the enterprise sector. As computing costs skyrocket, companies are struggling to justify expenses. Industry leaders are adopting sophisticated routing techniques to manage this. For instance, Uber is strategically deploying AI in its operations to achieve tangible ROI, DoorDash is utilizing open-weight models for coding, and Ali Ghodsi of Data Bricks is optimizing AI harnesses to slash token costs. There is a fierce tug-of-war between Closed source AI, dominated by frontier models like Anthropic's Claude and Fable 5, and Open Source AI. Disrupting the market, Mark Zuckerberg and Meta have launched Muse Spark to ignite a fierce price war. Meanwhile, startups like Decagon are leveraging fine-tuned open models for mature workflows, whereas hyper-growth consumer apps like Lovable and voice-generation leader 11 Labs remain heavily reliant on closed frontier model

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Thumbnail for Open Source Wins, AGI Is Here, and Scorsese’s AI Toolkit with CEOs of Cerebras & Black Forest Labs
Open Source Wins, AGI Is Here, and Scorsese’s AI Toolkit with CEOs of Cerebras & Black Forest Labs

All-In Podcast

7/9/2026


The All-In Podcast features interviews with two prominent tech leaders shaping the current AI buildout. First, Andrew Feldman, CEO and founder of Cerebras, discusses the unprecedented scale of Data centers construction and the rapidly increasing Energy demand for AI. He highlights how massive compute requirements are driven by companies like OpenAI, Anthropic, SpaceX, Google, Microsoft, and AWS. Cerebras provides blisteringly fast chips optimized for AI Inference, challenging the legacy x86 architecture of Intel and the standard GPU architecture dominated by Nvidia and its CEO Jensen Huang. This competitive landscape has pushed tech giants like Amazon to build custom silicon. The panel contrasts Open source AI with Closed source AI, noting a trend towards AI Sovereignty. For example, the UAE based G42 builds custom models to protect their Intellectual Property (IP). Feldman discusses advanced reasoning, referencing the Hermes agent processing massive amounts of AI Tokens, and Z.AI producing GLM 5.2 which runs on the decentralized Bit Tensor Tao network. Reasoning engines like Fable indicate we are approaching AGI (Artificial General Intelligence) through recursive self-improvement, a trend anticipated by pioneers like Sam Altman, Ilia Sutskever, and Dario Amodei. With rapid advancements comes the need for AI Safety, as demonstrated by Palo Alto Networks discovering vulnerabilities through AI red-teaming. Feldman draws an analogy

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