Video · Ideas · Perspectives
Video · Ideas · Perspectives
Namespace is actually the fastest way to run your GitHub Actions (and more). Try it for free - https://namespace.so/github-actions PewDiePie is building Ajax, an uncensored AI model he trained at home after OpenAI banned him twice for distillation. Let's dive in. Want more Fireship? 🗞️ Newsletter: https://bytes.dev 🧠 Courses: https://fireship.dev
Watch video : PewDiePie is setting AI free... and OpenAI is furious
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, pipes, cables, junction boxes, and other objects hidden behind them, then turn that data into a dimensionally accurate 3D model.
Watch video : A camera that can see through walls
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, there may be very different ways to build the machines that come next. We explore what AI compute could look like beyond conventional digital hardware through optical systems that use light to perform computation, neuromorphic architectures inspired by the brain, and experiments teaching living brain cells to play Doom. Sign up for the next Paper Club, where we'll discuss AI Safety: https://events.ycombinator.com/yc-paperclub-oct7 Chapters: 00:00 — Intro 00:07 — Francois Chaubard: Why Alternative Compute? 03:38 — Beyond Backpropagation 08:08 — Zero-Order Optimization and SOMA 15:06 — Ilker Oguz: Computing With Light 19:27 — Why Optical Computing Isn’t Everywhere Yet 22:23 — Building a Diffusion Model With Light 30:03 — Optical Computing Q&A 39:00 — Alok Vasudev: What Is Neuromorphic Computing? 45:23 — What the Brain Can Teach Us About Chips 49:35 — Where Neuromorphic Computing Stands Today 54:24 — Neuromorphic Computing Q&A 1:04:24 — Sean Cole: Teaching Brain Cells to Play Doom 1:07:48 — Training Biological Neurons With Reinforcement Learning 1:12:28 — How Brain Cells Learn From Feedback 1:15:40 — Biological Computing Q&A Apply to Y Combinator: https://www.ycombinator.com/apply Work at a startup: https://www.ycombinator.com/jobs
Watch video : What If We Stopped Using GPUs? | YC Paper Club
Gayatri built a custom journaling device using Nano Banana and Gemini through Antigravity and Google AI Studio to transform spoken memories into physical keepsakes. 🔗 Explore the build → https://goo.gle/4z2vI3I Subscribe to Google for Developers → https://goo.gle/developers Products Mentioned: Gemini, Google Antigravity, Google AI Studio Speaker: Gayatri Kalra
Watch video : 🧾 Building a voice-to-print mirror with Gemini
Try the faster, open-weight version of Jev at https://fastino.ai/. Use code: FIRESHIPFIVE to get free credits. In this video we'll cover everything you missed at OpenAI Dev Day 2026. Let's dive in. #coding #programming Want more Fireship? 🗞️ Newsletter: https://bytes.dev 🧠 Courses: https://fireship.dev
Watch video : The one OpenAI announcement that can actually make you money...
Using Nano Banana and Gemini through Antigravity and Google AI Studio, Gayatri found a way to transform spoken words and everyday thoughts into lasting visual artifacts. Watch to explore the build and see how memories become physical prints. Try building today → https://goo.gle/3VfKNQR Subscribe to Google for Developers → https://goo.gle/developers Products Mentioned: Gemini, Google Antigravity, Google AI Studio Speaker: Gayatri Kalra
Watch video : How to transform audio into physical prints using Gemini and Google AI Studio
Check out the OpenAPPA repo: https://github.com/archestra-ai/OpenAPPA A new open source project claims to have fixed the rogue agent problem. Let's dive in. Want more Fireship? 🗞️ Newsletter: https://bytes.dev 🧠 Courses: https://fireship.dev
Watch video : Did a 50 year old military secret just solve agent prompt injection?
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 becomes training data for the factory to manufacture the next one better.
Watch video : Robotic factories that build robots
CodeRabbit Triage prioritizes all your team's pull requests for you. Try it free: https://coderabbit.link/fireship-014 DHH told 1,200 Rails developers that writing code by hand is over... so let's find out which programming skills are actually still worth having. Want more Fireship? 🗞️ Newsletter: https://bytes.dev 🧠 Courses: https://fireship.dev
Watch video : DHH has gone completely off the rails...
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 era of robot-use agents: general-purpose models that can control different robots, write policies, and learn new physical tasks with little or no robot-specific training. In this episode of Decoded, we're joined by the founders of Waddle Labs and RoboCurve, two of the startups whose work helped drive this realization. They're working at the frontier of using general-purpose models to control robots, and their recent demos helped inspire the growing conversation around robot-use agents. Together, we dig into the research behind that idea, from code-as-policies and vision-language-action models to the harnesses and evals needed to make these systems work in the real world. Chapters: 00:00 — Intro + The Rise Of Robot Use Agents 04:07 — The Bitter Lesson for Robotics 07:40 — From Coding Agents to Robot Policies 10:41 — In-Context Learning vs Model Training 14:22 — Building a Harness for Robot Control 17:50 — Turning Robot Actions Into Reusable Skills 20:55 — How AI Models Learn the Physical World 26:05 — How Close Are We To General Purpose Robots? https://www.waddlelabs.ai/ https://robocurve.org/ Apply to Y Combinator: https://www.ycombinator.com/apply Work at a startup: https://www.ycombinator.com/jobs
Watch video : Robot-Use Agents: Why General-Purpose Models May Win in Robotics
Get $100 in Hyperagent bonus credits when you sign up for a paid plan - https://www.hyperagent.com/fireship100 In this video we break down everything from Meta Connect 2026. Let's dive in. Want more Fireship? 🗞️ Newsletter: https://bytes.dev 🧠 Courses: https://fireship.dev
Watch video : Meta is pivoting again... everything you missed from Connect 2026
Hop Aero is building rockets that can deliver cargo anywhere on Earth in minutes. They’re starting with military logistics and other time-sensitive payloads, including temperature-controlled materials with short shelf lives, where getting something there much faster can materially change the outcome. They’ve already built and successfully hot-fired a new rocket engine, and signed $1.37B in commercial LOIs.
Watch video : Rocket cargo delivery anywhere on Earth in minutes