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Clear all filtersThe Wildest Hot Takes From the All-In Summit 2026
Elon Musk, Jensen Huang, Satya Nadella, Gwynne Shotwell, Jared Isaacman, Brad Gerstner, Bill Gurley, Dina Powell McCormick, Jake Paul, Nick Shirley, Blake Scholl, Martin Shkreli, Chamath Palihapitiya, Jason Calacanis, David Sacks, David Friedberg, Naveen Rao, Jonathan Neman, Toby Rice, Wen Sang, Geoff Woo, Kent Draper, Michael Brandt, Molly
Industry leaders including Jensen Huang, Elon Musk, and Naveen Rao reached a pragmatic consensus on AI governance that prioritizes independent peer review and hardware efficiency over existential risk narratives or development halts. The dialogue highlighted a critical pivot toward solving energy constraints through massive infrastructure expansion and ultra-efficient computing to prevent a "SaaS apocalypse" while democratizing access via no-code agents. Concurrently, the speakers addressed broader economic and societal implications, warning that political interference in energy markets and outdated regulatory frameworks pose immediate threats to both AI scaling and public infrastructure projects.
- a16z54 min
Why Top Founders Are Racing Into AI Infrastructure
Ben Horowitz, Martin Casado, Raghu Raghuram, Erik Torenberg
The Machine Age Fund targets the critical infrastructure bottlenecks constraining the "Machine Intelligence" revolution by investing in the physical computing stack, from raw copper mining to power grid upgrades. With hyperscalers projecting $1 trillion in annual capital expenditure and GPU supply booked through 2028, the fund prioritizes founders with hardware and supply chain expertise to solve severe shortages in energy capacity, liquid cooling, and specialized labor. This strategy aims to secure the physical assets required to support exponentially growing compute demand while preventing the United States from losing its infrastructure leadership to global competitors.
- Goldman Sachs12 min
Why US Equity Returns Are Broadening Beyond AI Stocks
Shawn Tuteja, Chris Hussey, Sean Tatasia
Despite Q2 earnings beating expectations and broadening market participation beyond the Magnificent Seven, investor sentiment remains cautious as volatility drops and capital rotates from high-flying AI stocks into undervalued sectors like healthcare and consumer experience. Concurrently, macroeconomic pressures from bond supply dynamics, rising oil prices, and a slowing U.S. economy outlook are complicating the Federal Reserve's policy path ahead of the critical Jackson Hole symposium. Consequently, market participants are increasingly utilizing ETFs and hedging strategies to navigate geopolitical risks and potential rate shifts while earnings consensus for 2027 is revised upward.
- Sequoia Capital22 min
Continual Learning: How AI Agents Get Better With Every Use | Arjun Karanam, Trajectory
Arjun Karanam, Ronak, Gabe, Harrison, Nico, Harvey
Trajectory, co-founded by Arjun and Ronak, addresses the lack of accumulated experience in AI by building a platform that enables models to continuously learn from the 100 trillion daily tokens generated by real-world agent interactions. The company utilizes a dual-learning architecture combining differential privacy with reinforcement learning on user-corrected traces, allowing organizations to transition from static models to systems that compound capability through automated post-training and flexible harness optimization. By abstracting complex training parameters into a 15-minute workflow, Trajectory empowers enterprises to retain ownership of their specialized models while refining agent performance directly against production traffic.
- Sequoia Capital17 min
How Companies Are Building Their Own Intelligence | Sonya Huang, Sequoia Capital
Approximately 80 portfolio company founders and AI leaders convened to strategize the adoption of Sovereign AI, a framework defined by vertical integration where organizations own model weights rather than relying on external APIs. The event combined high-level market analysis with technical workshops led by industry experts to outline a four-step roadmap for building custom intelligence capabilities. Participants explored critical architectural decisions regarding cost efficiency, latency reduction, and the necessity of dedicated research labs to leverage open-weight models for proprietary domain performance.
- Y Combinator42 min
Garry Tan: The Future of AGI Is Personal
The speaker advocates for "Personal AGI," a system of user-owned agents that process vast personal context on private infrastructure to drastically increase output and preserve cognitive independence. Drawing parallels to Baruch Spinoza's rejection of institutional compromise, the talk details how "skill files" and hybrid architectures enable individuals to replace traditional workforces with scalable, compounding digital labor. This shift promises to democratize high-level execution by allowing founders to achieve unprecedented economic leverage while retaining full ownership of their generated knowledge and intellectual tools.
- The Diary Of A CEO1h 40m
Man Who Owns 4% Of All Bitcoin: His Final WARNING To Everyone Who Doesn't Own It | Michael Saylor
The speaker leveraged artificial intelligence to engineer a novel financial instrument that secured $15 billion in capital, enabling their company to acquire 847,000 Bitcoin while navigating saturated traditional equity markets. By framing Bitcoin as a sovereign asset immune to government seizure and contrasting its 33% annual appreciation against the historical depreciation of fiat currency, the presentation advocates for a shift toward scarce digital resources in an era where AI and robotics promise abundance in utilitarian goods. Strategic guidance emphasizes investing in technologies on the steep growth phase of the S-curve, utilizing AI to solve unique problems, and prioritizing applied statistics and history to build long-term resilience against economic volatility.
- Milken Institute1h 3m
Things That Will Blow Your Mind | Global Conference 2026
Richard Sandler, Ali Agha, Erin Blanton, Bentzion Levinson, Geoffrey von Maltzahn
This panel featured four innovators presenting distinct AI-driven solutions: Lila Sciences deployed autonomous laboratories to accelerate biotech and material discoveries, Field AI introduced hardware-agnostic robotics for extreme environments, Heaven Aerotech developed hydrogen-powered endurance drones for strategic defense, and Carbon Mapper utilized satellite spectrometry to identify and mitigate global methane super-emitters. Collectively, these breakthroughs demonstrate a shift from conversational AI to embodied, physical intelligence capable of operating 24/7 to solve critical challenges in labor shortages, climate change, and geopolitical security. The discussion concluded with a unified call for the West to reindustrialize and scale automation to prevent falling behind China's rapid advancements in scientific and military capabilities.
- Y Combinator31 min
Patrick Collison: Is AI Breaking the Lean Startup Playbook?
Patrick Collison shares his journey from dropping out of college twice to launching Stripe, emphasizing the critical role of retaining "cognitive L1 cache" over reliance on AI tools for deep reasoning. He highlights that while new business formation on Stripe has doubled and AI is accelerating revenue milestones, entrepreneurs should remain wary of decentralization fears and instead focus on solving visceral customer problems like legacy payment friction. Collison concludes by advising founders to build fundamental knowledge of first principles and to assess whether their chosen venture is a cause they are willing to pursue for decades.
- Y Combinator50 min
Blake Scholl: How 50 People Built a Supersonic Jet
Founded by Blake Scholl in 2014, Boom Supersonic successfully developed the XB-1, the first privately built jet to break the sound barrier, using a lean team and software-driven engineering to overcome decades of aviation stagnation. This historic flight directly catalyzed a shift in US federal policy, prompting an Executive Order that legalized supersonic flight over land and clearing the path for the upcoming Overture airliner. By vertically integrating manufacturing and creating revenue through ground-based engines, the company aims to double global travel speeds while eliminating the traditional sonic boom barrier.
- RAISE Summit18 min
Where We're Going We Don't Need Keyboards, Just Voice | Neil Zeghidour, Gradium | RAISE 2026
Gradium, a spin-off of the frontier research lab Qtize, is commercializing full-duplex voice AI models like "Moshi" to replace traditional keyboard interfaces with natural, real-time human-machine interaction. By utilizing single audio-to-audio architectures that eliminate turn-taking latency, the Paris-based company enables seamless agentic tasks ranging from customer support to industrial robotics in noisy environments. With recent funding to expand into San Francisco and open-source model access, Gradium aims to establish voice as the primary operating system for always-on, asynchronous agent networks.
- RAISE Summit19 min
What's New for Startups with Google DeepMind? | Omar Sanseviero | RAISE Summit 2026
Omar Sanseviero of Google DeepMind outlined the strategic expansion of the Gemini ecosystem, highlighting the release of Gemini 3.5 Flash, the imminent Gemini 2.5 Pro, and advanced GenMedia models like NanoBanana 2 Lite for rapid image generation. The presentation detailed critical infrastructure updates including the Gemma 4 open model family, which achieved over 250 million downloads on consumer hardware, alongside new real-time APIs for low-latency voice translation and live visual analysis. These advancements collectively aim to accelerate the transition from prompt to production by empowering developers to build complex agentic workflows and specialized applications in sectors ranging from robotics to environmental monitoring.
- RAISE Summit19 min
Scale or Stall: The ICONIQ 2026 State of AI | Seth Pierrepont & Vivian Guo | RAISE Summit 2026
Iconic's May 2024 longitudinal survey of 305 AI executives reveals that legacy software firms now derive 33% of revenue from AI products, with gross margins projected to rise to 60% by 2027 as model orchestration optimizes costs. The data highlights a strategic pivot toward outcome-based pricing and agentic AI, where Anthropic's market share surged to 81% and companies plan to scale Forward Deployed Engineer roles to drive revenue rather than merely fill technical gaps. Looking ahead, organizations are redefining operational structures to prioritize deep verticals and agentic workflows, expecting AI spend to jump from 11% to 19% of total revenue while engineering productivity and FTE earnings nearly double through complete work redesign.
- RAISE Summit14 min
Delivering on the Promise of AI Through Trusted Partnerships | Simon Ahdoot, Hypertec | RAISE 2026
Founded in 1984, Hypertech leads a strategic alliance with Bell Canada, Cohere, and BuzzHPC to build a sovereign AI ecosystem in Canada that addresses massive infrastructure demands and sector-specific inefficiencies. This partnership explicitly combines four decades of data center expertise with legacy telecommunications, modern GPU management, and enterprise AI modeling to overcome unprecedented capital, talent, and regulatory hurdles. The initiative highlights that successful AI deployment requires such cross-generational collaboration to navigate environmental concerns and power constraints that no single entity can resolve independently.
- RAISE Summit14 min
How AI Saved My Life and Will Save Yours | Olivier Goy, Paris Brain Institute | RAISE 2026
Following his 2020 ALS diagnosis, the speaker collaborated with the Paris Brain Institute and Mount Sinai Hospital to deploy AI-driven technologies that restored his voice and accelerated neurological research. This strategic partnership, supported by a $600,000 personal founding gift, focuses on transforming the "One Brain" initiative into a unified front against diseases like Alzheimer's and Parkinson's. To finance this work, the organizations launched "The Wall" project, inviting donors to contribute portraits that directly fund the development of robotic surgical tools and pattern-recognition algorithms.