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Why Inference Matters 12x More Than Training | YC Paper Club
This week’s Paper Club is all about inference. For every FLOP spent training a model, roughly six go to serving it each year — and getting that part right has produced over $220 billion in market cap
This Is How You Should Actually Make Launch Videos
There’s a misconception that a successful launch video needs to cost tens of thousands of dollars and feel like a high production commercial. But Farza Majeed has a radically different approach. Farza
How To Stand Out In A World Of AI Designs
Magic Patterns (W23) is one of the fastest-growing design tools in AI, helping product teams turn ideas into interactive, code-backed prototypes in minutes. Alex Danilowicz and his co-founder, both fr
AI Safety Fact vs. Fiction | YC Paper Club
This week’s Paper Club is all about AI safety - not the headlines, the science. AI safety has been a research field for decades, with its own conferences, methods, and a track record in systems like a
How Jeetu Patel Runs Cisco Like the World’s Largest Startup
Cisco is building AI infrastructure, from networking GPU clusters to securing agents, with its hyperscaler AI business reaching $9.3 billion in orders in two years. Cisco President and Chief Product O
A camera that can see through walls
Applied Electrodynamics is building cameras that can see through walls and other opaque materials. Using radio waves, their system can see through drywall, marble, and other surfaces to locate studs,
What If We Stopped Using GPUs? | YC Paper Club
This week’s Paper Club is all about alternative compute. Modern AI has been shaped by a tight coupling between transformers, backpropagation, and GPUs. But as compute efficiency starts to plateau, the
Robotic factories that build robots
Tensr is building robotic factories that build robots. Their 12,000-square-foot factory is already making humanoids, end effectors, and even robots for the International Space Station. Every order bec
Robot-Use Agents: Why General-Purpose Models May Win in Robotics
One of the biggest surprises in AI over the last few years has been how well coding agents generalize beyond software. In a recent essay, MIT professor Philip Isola argued that we may be entering the