The a16z Show

Will we have one AI assistant that does everything, or an entire network of agents that know different parts of our lives? David Pawlan, creator of Assistant Benchmark, returns with Anish Acharya and Josh Elman to take stock of how quickly the agent landscape has changed.
David has now tested more than 140 AI assistants, and they unpack what separates them, from memory and judgment to trust, shopping, and social experiences.
They also explore what happens when agents start talking to each other, how they could create new kinds of social networks and serendipity, and why the most compelling agents may ultimately do more than save time. They could become a kind of secret superpower.

Resources:
Follow David Pawlan: https://x.com/DavidPawlan
Follow Josh Elman: https://x.com/joshelma
Follow Anish Acharya on X: https://x.com/illscience

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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

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If you could do only three things for your health, what should they be? Andrew Huberman’s answer is surprisingly straightforward: get bright light shortly after waking, resistance train, and make the sleep you can get as high-quality as possible.
Andrew joins a16z Partner Daisy Wolf to walk through the protocols he actually follows, from exercise and nutrition to meditation, supplements, and locking his social media phone in a box. He also explains why optimizing every health protocol can be counterproductive if it gets in the way of the rest of your life.
And for founders, Andrew makes a different case: identify the hours when your brain does its best work and protect them. They discuss cognitive performance, meditation, sustainable workloads, and emerging neurotechnology that could help us control transitions between sleep, focus, and recovery.

Resources:
Huberman Lab :https://www.hubermanlab.com/
Follow Andrew Huberman: https://www.youtube.com/@hubermanlab
Follow Daisy Wolf: https://x.com/daisydwolf

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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

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What does it take to build robots that can actually work in factories and warehouses? Tutor Intelligence CEO Josh Gruenstein argues robotics is a systems problem spanning AI, hardware, manufacturing, and the work itself.
Josh joins a16z General Partners Martin Casado and Raghu Raghuram to explain Tutor’s approach: deploy robots into real businesses, use human “tutors” when needed, and turn that work into training data that makes the robots more capable.
They discuss Tutor’s 100-robot data factory, robots starting at roughly $16 an hour, advances in spatial reasoning, and what flexible robotic labor could mean for American manufacturing and the physical economy.

Resources:
Follow Josh Gruenstein on X: https://x.com/joshgruenstein
Follow Martin Casado on X: https://x.com/martin_casado
Follow Raghu Raghuram on X: https://x.com/RaghuRaghuram
Learn more about Tutor Intelligence:https://tutorintelligence.com/

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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

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Can relentless optimization create as much value as breakthrough invention? Bending Spoons CEO Luca Ferrari argues that radical innovation can produce extraordinary outcomes, but systematic improvement can be more dependable, especially when paired with a model designed to compound over decades.
Speaking with a16z General Partner Anish Acharya at Wave by Vento, Luca explains how Bending Spoons acquires technology companies, integrates them onto a shared platform, improves their economics, and reinvests the resulting cash into new acquisitions. They discuss the tradeoffs between growth and profitability, how to use debt without putting the company at risk, and why long-term thinking can create an advantage.
They also debate whether AI really threatens SaaS, why moats like brand, proprietary data, network effects, and switching costs still matter, and how Bending Spoons is already using AI across coding, customer support, and data analysis.

Resources:
Recorded at Wave by Vento.
Luca Ferrari on LinkedIn: https://it.linkedin.com/in/luca-ferrari-12418318
Follow Anish Acharya on X: https://x.com/illscience
Learn more about Bending Spoons: https://bendingspoons.com/
Wave by Vento: https://wavebyvento.com/

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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

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What if finding your next job, co-founder, or collaborator depended less on a resume and more on who is willing to vouch for you? Cosign is building a professional network around those signals, with the longer-term goal of giving AI agents access to the relationship and reputation data that traditional networks keep locked away.
a16z New Media’s David Booth and Dhruv Gupta join MTS to introduce the Cosign Awards, which recognize standout operators, companies, and products based on nominations from the people who know their work. They also unpack the bigger idea behind Cosign: mapping the people and relationships that rarely show up in public data, then making that graph accessible to both humans and agents.
Looking ahead, they imagine professional networking where your personal agent can talk directly to a company’s agent, determine whether there’s a potential fit, and only bring the opportunity to you when there’s a genuine “coincidence of intent.”

Resources:
Follow David Booth on X: https://x.com/david__booth
Follow Dhruv Gupta on X: https://x.com/droovg
Cosign: https://cosign.co
Cosign Awards: https://cosign.co/awards

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Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.

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