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Why Robotics Still Isn't Solved - But Could Be Soon | YC Paper Club 85 min 
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Bond 26 (2027) Henry Cavill & Margot Robbie 9 min 
The Batman 2 #shorts #Thebatman #thebatman2 #batman 1 min 
Robots vs Thieves - My new security system 37 min 
THE POWER SYSTEMS! | Real Life Power Armor (Part 2/6) 30 min 
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Why Fitbit Air Could Be Huge 1 min 
Google Pixel 11 Hands on - The Phone Crisis Begins. 14 min 
Dude where’s my space station? 3 min 
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Why NASA Is Sending This Truck To The Moon 24 min 
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How Apple AirPods Work 19 min 
Crash Course Astronomy Marathon • Full Series 502 min 
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The illusion of the ‘self’ | The Gray Area 43 min 
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The Grid That Doubles the Strength of the Ground 19 min 
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Hasan Piker on what Democrats get wrong | America, Actually 34 min 
Buying a 1 euro House in Italy - is it a scam? 42 min 
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72 Hours Lost in the World’s Richest Dictatorship (no hotel, no food, no transportation...) 38 min 
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Exploring Japan's Remote Border with Russia (no one comes here) 26 min 
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Name That Infrastructure (Ep. 3) #shorts 1 min This week's Paper Club is all about robotics. Every year for the last decade, someone has promised that the era of robotics is just around the corner. But we're still waiting. So we gathered a bunch of the top researchers working in AI and robotics to present the latest findings on where we are and what comes next. We open with a discussion of the biggest roadblocks still in the way: the sim-to-real gap, action representation, the sensorimotor problem, and embodiment drift. Then we cover giving robot policies memory, teaching models what's worth reasoning about, dexterous tool use learned entirely in simulation, why the next great robotics companies will start with teleoperation, and how to run world action models without two GB200s per robot. Transcript: https://www.ycrootaccess.com/p/memory-simtoolreal-and-world-action Chapters: 0:00 – Francois Chaubard: Ten years of “next year, robotics is solved” 7:59 – Marcel Torne: MEM - Multi-Scale Embodied Memory for Vision Language Action Models (arxiv.org/abs/2603.03596) 20:21 – Milan Ganai: Self-Supervised Bootstrapping of Action-Predictive Embodied Reasoning (arxiv.org/abs/2602.08167) 33:42 – Tyler Ga Wei Lum: SimToolReal - An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulation (arxiv.org/abs/2602.16863) 51:21 – Niko West (Rerun.io): Why the next great robotics companies will start with teleoperation 1:08:30 – Bill Jiao & Guanming Wang (General Instinct): World action models and what comes after VLAs Apply to Y Combinator: https://www.ycombinator.com/apply Work at a startup: https://www.ycombinator.com/jobs
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