Podcast thumbnail for The Alphaist - English Edition

The Alphaist - English Edition

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by Alphaist Partners

6 episodes
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Podcast Overview

The Alphaist is a podcast by Alphaist Partners, dedicated to exploring cutting-edge developments and applications in AI and robotics.

Language

🇺🇲

Publishing Since

3/23/2026

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Recent Episodes

Episode thumbnail for #6 - The State of Embodied AI - Q2 2026: World Models, Dexterous Hands, and Humanoids at Work

July 5, 2026

#6 - The State of Embodied AI - Q2 2026: World Models, Dexterous Hands, and Humanoids at Work

<p>Welcome to this episode of <strong>The Alphaist</strong>.</p><p><strong>The Alphaist</strong> is a deep-dive conversation series hosted by <strong>Peter Chen</strong>, Founder of Alphaist Partners, a fund focused on hard tech. Each episode explores the first principles of technology and entrepreneurship, featuring early-stage founders, engineers, and product innovators who are shaping the future.</p><p>This episode is the second installment of our quarterly series on Embodied AI, produced in collaboration with <strong>LateTalk</strong> — the tech podcast from <strong>LatePost</strong>, hosted by <strong>Manqi Cheng</strong>. Manqi has been tracking the embodied AI landscape closely, with deep access to the founders, engineers, and investors driving the field forward. Each quarter, Peter and Manqi take stock of what actually moved the field — across humanoid hardware, dexterous manipulation, foundation models, and the capital flowing into all of it.</p><p><br></p><p>In this second installment, Peter and Manqi unpack the five developments that defined Q2 2026 in embodied AI:</p><p>• The <strong>Beijing E-Town humanoid half-marathon</strong> — where 100+ humanoids ran the course and a phone maker&#39;s robotics division (<strong>Honor</strong>) swept the podium, signaling that large manufacturers can now build competitive humanoids fast</p><p>• <strong>Figure</strong>&#39;s 100-hour package-sorting livestream — the first time humanoids&#39; industrial value was demonstrated at scale to a global audience, and why non-standard logistics sorting is such a clean fit for today&#39;s embodied models</p><p>• The breakout in <strong>dexterous hands</strong> — <strong>Wuji</strong>&#39;s second-generation direct-drive hand at <strong>ICRA</strong>, and why high-DoF hands became the quarter&#39;s competitive battleground</p><p>• <strong>NVIDIA</strong>&#39;s <strong>Cosmos 3</strong> — arguably the first fully open-source &quot;Omni&quot; world model, pulling world models from lab concept to industrial-grade product and igniting the hottest startup wave of the quarter</p><p>• The next turn for <strong>VLA</strong> — Physical Intelligence&#39;s <strong>π0.7</strong> and Generalist&#39;s <strong>GEN-1</strong>, and the first real signs of VLA and world models beginning to merge</p><p><br></p><p>Along the way, Peter and Manqi get into the harder questions the quarter surfaced:</p><p>• Tendon-drive or direct-drive: is <strong>Tesla</strong>&#39;s tendon-driven hand a first-principles choice, or a bet the independents are right to fade?</p><p>• Who ends up owning dexterous-hand data — the hand makers, the humanoid body makers, or third-party collectors?</p><p>• If the general-purpose model giants go <strong>Omni,</strong> is there any reason a standalone embodied-AI model startup should exist?</p><p><br></p><p>Listen in for a ground-level read on where embodied AI actually stands.</p><p><br></p><p><strong>Contact Alphaist Partners</strong> </p><p>Official Website: <a href="https://alphaist.vc/">⁠⁠https://alphaist.vc/⁠⁠</a> </p><p>Partnership &amp; Media: <a href="mailto:peter@alphaist.vc">⁠⁠peter@alphaist.vc⁠⁠</a></p><p><br></p><p>Disclaimer: This episode was originally recorded in Chinese. The English version was translated and voiced using Fish Audio&#39;s AI voice tool, with the consent of all participants. Visit <a href="https://fish.audio/">⁠⁠https://fish.audio/⁠⁠</a> for more details.</p>

Episode thumbnail for #5 - D-Robotics: The Picks-and-Shovels Play for Embodied AI

May 12, 2026

#5 - D-Robotics: The Picks-and-Shovels Play for Embodied AI

<p>Welcome to this episode of <strong>The Alphaist</strong>.</p><p><strong>The Alphaist</strong> is a deep-dive conversation series hosted by <strong>Peter Chen</strong>, Founder of Alphaist Partners, a fund focused on hard tech. Each episode explores the first principles of technology and entrepreneurship, featuring early-stage founders, engineers, and product innovators who are shaping the future.</p><p>In this episode, we are joined by <strong> Cong Wang</strong>, CEO of <strong>D-Robotics</strong>, and <strong>Wei Sui</strong>, VP of Technology at <strong>D-Robotics</strong> — for a deep dive into what it takes to build the infrastructure layer for embodied AI.</p><p>While the industry races to build humanoid robots, <strong>D-Robotics</strong> is betting on a different path: not building robots, but building the intelligent computing platform that powers them. The company has shipped millions of chips, raised $270M in Series B, and is positioning itself as the picks-and-shovels provider for the robotics era.</p><p>In this episode, Cong Wang and Wei Sui share the story and strategic logic behind D-Robotics, including:</p><ul><li>How the team survived a near-fatal downsizing — from a several-hundred-person division to a few dozen — and rebuilt into a standalone unicorn</li><li>Why &quot;feeling torn&quot; is the best compass for strategic decisions — and why the team walked away from profitable but misaligned business lines</li><li>The two endgames for chip companies: creating demand vs. serving demand — and which path <strong>D-Robotics </strong>chose</li><li>Why <strong>D-Robotics</strong> is betting on <strong>VA over VLA</strong> as the more viable path to deployment — achieving comparable performance at 1/10 the cost</li><li>What &quot;Robot Infra&quot; really means — and whether it could be an <strong>NVidia-scale</strong> opportunity</li></ul><p><br></p><p>Peter has known Cong Wang for six years. This conversation traces the full arc — from a PhD dropout&#39;s first startup, through the darkest chapter of layoffs and strategic pivots, to the conviction that building infrastructure for robots is a game worth playing for decades.</p><p>Listen in for a ground-level read on what it takes to build the computing backbone of embodied AI.</p><p><br></p><p><strong>Contact Alphaist Partners </strong></p><p>Official Website: <a href="https://alphaist.vc/" target="_blank" rel="ugc noopener noreferrer">https://alphaist.vc/</a> </p><p>Partnership &amp; Media: <a href="mailto:peter@alphaist.vc" target="_blank" rel="ugc noopener noreferrer">peter@alphaist.vc</a></p><p><br></p><p>Disclaimer: This episode was originally recorded in Chinese. The English version was translated and voiced using Fish Audio&#39;s AI voice tool, with the consent of all participants. Visit <a href="https://fish.audio/" target="_blank" rel="ugc noopener noreferrer">https://fish.audio/</a> for more details.</p>

Episode thumbnail for #4 - The State of Embodied AI - Q1 2026: Humanoids, Dexterous Hands, and World Models

April 16, 2026

#4 - The State of Embodied AI - Q1 2026: Humanoids, Dexterous Hands, and World Models

<p>Welcome to this episode of <strong>The Alphaist</strong>.</p><p><strong>The Alphaist</strong> is a deep-dive conversation series hosted by <strong>Peter Chen</strong>, Founder of Alphaist Partners, a fund focused on hard tech. Each episode explores the first principles of technology and entrepreneurship, featuring early-stage founders, engineers, and product innovators who are shaping the future.</p><p>This episode marks the launch of our new quarterly series on Embodied AI, produced in collaboration with <strong>LateTalk</strong> — the tech podcast from <strong>LatePost</strong>,hosted by <strong>Manqi Cheng. </strong>Manqi<strong> </strong>has been closely tracking embodied AI landscape, with deep access to the founders, engineers, and investors driving the field forward. Each quarter, Peter and Manqi take stock of what actually moved the field — across humanoid hardware, dexterous manipulation, foundation models, and the capital flowing into all of it.</p><p><br></p><p>In this first installment, Peter and Manqi unpack the five developments that defined Q1 2026 in embodied AI:</p><p>• <strong>Unitree</strong>&#39;s Spring Festival Gala performance — and what 20+ <strong>G1</strong> robots moving in sync really signaled about the current lead in locomotion and hardware consistency</p><p>• <strong>Sharpa</strong>&#39;s dexterous hand debut at CES — and why the field is converging on <strong>high-DoF</strong> hands as the next research default</p><p>• <strong>NVIDIA</strong>&#39;s <strong>DreamZero</strong> and <strong>DreamDojo</strong> — and the shift from <strong>VLA</strong> to <strong>world models</strong> as a new paradigm for robot brains</p><p>• <strong>Galbot</strong>&#39;s tennis-playing humanoid — and what real-time, closed-loop control means for our ceiling of imagination</p><p>• <strong>Boston Dynamics</strong>&#39; new electric <strong>Atlas</strong> — whose modular design reflects a distinctly American answer to the manufacturing question</p><p><br></p><p>Along the way, Peter and Manqi get into the harder questions the quarter surfaced:</p><p>• Why has no one successfully challenged <strong>Unitree</strong>&#39;s <strong>G1</strong> twenty months after launch?</p><p>• Is <strong>Tesla</strong>&#39;s tendon-driven hand a first-principles choice — or a bet against physics?</p><p>• Why does the U.S. have only a handful of humanoid companies while China already has over twenty with billion-dollar valuations?</p><p>• As <strong>Unitree</strong> files for IPO, what does the coming listing wave mean for the ecosystem?</p><p><br></p><p>Listen in for a ground-level read on where embodied AI actually stands.</p><p><br></p><p><strong>Contact Alphaist Partners</strong> </p><p>Official Website: <a href="https://alphaist.vc/" target="_blank" rel="ugc noopener noreferrer">⁠https://alphaist.vc/⁠</a> </p><p>Partnership &amp; Media: <a href="mailto:peter@alphaist.vc" target="_blank" rel="ugc noopener noreferrer">⁠peter@alphaist.vc⁠</a></p><p><br></p><p>Disclaimer: This episode was originally recorded in Chinese. The English version was translated and voiced using Fish Audio&#39;s AI voice tool, with the consent of all participants. Visit <a href="https://fish.audio/" target="_blank" rel="ugc noopener noreferrer">⁠https://fish.audio/⁠</a> for more details.</p>

6 total episodes available

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What is The Alphaist - English Edition?

The Alphaist is a podcast by Alphaist Partners, dedicated to exploring cutting-edge developments and applications in AI and robotics.

How often does this podcast release new episodes?

This podcast updates daily.

Where can I listen to this podcast?

This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

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Yes, this podcast regularly features guests.

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