cwalker
1.6K posts
@EnDimensions
games, math, art, and for your convenience, all in the same bottle. Making https://t.co/T6IVIVy8Da with @hackclub
A year ago, teenagers at @hackclub set out to build the greatest math game ever. Today, SineRider enters public beta. Experience a mesmerizing world of puzzles infused with love and inspired by the TI-84 🔎. Hello, world 💖 this is sinerider.com
Welcome 2026 Thiel Fellows! WHO ARE THEY? Victor Boyd: Birmingham, AL - @VictorWBoyd Cavalla is on a mission to get anything anywhere in under 5 hours. Starting by building autonomous forklifts, through to developing hypersonic highways. Samuel Carvalho: Recife, Brazil - @samuelclcc Praso is building the new infrastructure for wholesale commerce — powering procurement, credit, and workflow tools for SMBs across underserved areas in Brazil. Nick Dobroshinsky: Sammamish, WA - @NDobroshinsky EveryTicker is democratizing institutional-grade financial research across the entire U.S. stock market, including the thousands of smaller companies Wall Street ignores. Ishan Gupta: Kanpur, India - @ishangpta Juicebox is building an AI recruiter that helps companies make better hiring decisions. Agents that understand real skills and move hiring from guesswork to true meritocracy. Antoni Kiszka: Strzyżowice, Poland - @antoni_kiszka Derpetual is building the infrastructure to create a market for any asset — with leverage. Milan Lustig: Cold Spring Harbor, NY - @HighPriestOfSWO Opt32 is building modern compute infrastructure to put AI onboard objects in the physical world — from robots to cars and drones. Galen Mead: Chapel Hill, NC - @g413n Standard Intelligence is building aligned general learners, pretraining large models to actively explore and learn from the Internet. Aubrey Niederhoffer: New York, NY - @needaubrey Swoop is building the super app for Africa, starting with food delivery in Nigeria and expanding into financial services across the continent. Harry O'Connor: Cork, Ireland - @HarryOC493 Sentient Machines is a research lab building foundational models for robotics that generalize across tasks and environments. Alex Shieh: Salem, NH - @alexkshieh The Antifraud Company is a fraud bounty hunter defending American taxpayers with AI and investigative journalism. Claire Wang: Los Angeles, CA - @clairebookworm Claire is building biologically accurate simulations of entire nervous systems, starting with C. elegans. Developing a simulated brain that researchers can communicate with helps lay the foundation for brain-computer interface (BCI) technology. Kyler Wang: Portland, OR - @kylerywang Action is an artificial intelligence company in stealth.
if I went through a professional psychological evaluation for ADD and autism, if you had to guess, do you think I'd be diagnosed with any of them?
I do a lot of work in this area. To start off, both methods are used for 3d reconstruction, or the ability to fully reconstruct a scene from any perspective given a few images of the scene. For people with no graphics background: nerfs predict the color at each individual pixel (point on the screen), whereas splats “splat” a bunch of colored blobs together until the picture is made. For people with some tech/gaming background: nerfs use ray tracing to create a scene, whereas gaussian splats use rasterization create a scene. they both use machine learning to “remember” the colors in the scene to rasterize or ray trace. For people with a tech background: nerfs are neural networks that predict each pixel’s color given a ray direction while splats create and modify millions of colored/transparent blobs (3d gaussians) until they form a scene using gradient-based optimization. both are trained from a limited number of viewpoints of a scene (the training data), and allows “novel view synthesis” (the ability to view the scene from new viewpoints not included in the training data). Still oversimplifying but if there’s interest I can expand on this in a blog post.
Soon...
