Solar is up. Coal is down. (56% in 2025) The reason why has nothing to do with climate. It’s very important to understand this.

Kubernetes: From a Federation of Bazaars to the AI Frontier By @Itsuugo, thanks to @CloudNativeFdn and @grafana thenewstack.io/kubernetes-fr…

The Kubernetes community mourns the sudden loss of Han Samuel Kang, 42, a talented engineer who brought exuberance to every contribution. He leaves behind a wife and two daughters. In lieu of flowers, please consider memorial donations: gofund.me/5ef5290f9

kubernetes.io/blog/2025/09/0… Kubernetes 1.34 is here, and it has brought a huge wave of enhancements for Dynamic Resource Allocation (DRA)! This release marks a major milestone with many APIs in the resource.k8s.io group graduating to General Availability (GA)

i hate how the og image for github links is the author's profile picture you randomly get a giant picture of someone's face when you paste it somewhere way too intense

This is the reason why you work in OSS, no money can pay things like this

The progress of Gemini over the last year

$NVDA CEO SAYS GOAL IS TO BUILD FULL STACK -- FROM CHIP TO SUPERCOMPUTER -- IN AMERICA WITHIN A YEAR 🤩

kubernetes.io/blog/2025/05/0… this is impressive

Phase 1 of the Google AI Studio UI redesign just landed 🚢 A nice updated look and feel we are laying the foundational for all of the developer platform things we will land in AI Studio over the next few months : )

The U.S. nuclear renaissance starts now.

Made @alexanderchen 's pelican shred some gnar, like what I did earlier today. g.co/gemini/share/1008879d17…

Google Gemini 2.5 Pro Exp: “Write a p5.js script that simulates 25 particles in a vacuum space of a cylindrical container, bouncing within its boundaries. Use different colors for each ball and ensure they leave a trail showing their movement. Add a slow rotation of the container to give better view of what's going on in the scene. Make sure to create proper collision detection and physic rules to ensure particles remain in the container. Add an external spherical container. Add a slow zoom in and zoom out effect to the whole scene.” @_akhaliq

My train was stuck for 20 mins, so I tested the new @Google @GeminiApp canvas with a challenge: build Flappy Bird in under a minute. ✅The gap between imagination and creation is disappearing before our eyes. Check it out.

We have liftoff! After a successful launch this weekend, the first FireSat satellite is now orbiting Earth 🛰️ It’s the first of a 50 satellite constellation that will help detect track wildfires as small as 5x5 meters, using AI. Huge thanks to partners @MuonSpace @EarthFireAll @MooreFound, and special thanks to @SpaceX for the ride! Here’s a look at the satellite on the launch pad (it’s behind the yellow rectangle).

Reindustrialization is not about redoing the 40s. It is about bringing AI down from the cloud and into the workshop. Embodied AI is bigger than humanoids: it’s about unleashing autonomous creators that bridge virtual genius with physical output.

Gemini can generate pretty consistent gif animations too: 'Create an animation by generating multiple frames, showing a seed growing into a plant and then blooming into a flower, in a pixel art style'

kernel-recipes.org/en/2024/v… is what KIND is for Kubernetes, impressive project

Gemini 2.0 with Code Execution is actually INSANE🔥 90% don't even know about this feature. - Run Python code in real-time - Handles complex data analysis & makes charts instantly - Works in both API & AI Studio - Use Multimodal Live API and Reasoning model Here's how you can use 👇 1/4 Example 1: Real-time analysis & visualization

Wow. Recreating the Shawshank Redemption prison in 3D from a single video, in real time (!) Just read the MASt3R-SLAM paper and it's pretty neat. These folks basically built a real-time dense SLAM system on top of MASt3R, which is a transformer-based neural network that can do 3d reconstruction and localization from uncalibrated image pairs. The cool part is they don't need a fixed camera model -- it just works with arbitrary cameras -- think different focal lengths, sensor sizes, even handling zooming in video (FMV drone video anyone?!). If you've done photogrammetry or played with NeRFs you know that is a HUGE deal. They've solved some tricky problems like efficient point matching and tracking, plus they've figured out how to fuse point clouds and handle loop closures in real-time. Their system runs at about 15 FPS on a 4090 and produces both camera poses and dense geometry. When they know the camera calibration, they get SOTA results across several benchmarks, but even without calibration, they still perform well. What's interesting is the approach -- most recent SLAM work has built on DROID-SLAM's architecture, but these folks went a different direction by leveraging a strong 3D reconstruction prior. Seems to give them more coherent geometry, which makes sense since that's what MASt3R was designed for. For anyone who cares about monocular SLAM and 3D reconstruction, this feels like a significant step toward plug-and-play dense SLAM without calibration headaches -- perfect for drones, robots, AR/VR -- the works!