What I'm interested in is how many within the upper echelons of Nvidia knew about the chips going to Megaspeed and then (allegedly)onto China? How many were actively complicit? There's got to be at least one or two. I'm wondering what an investigation will turn up.
Most affairs don't matter except to the people involved. Ex-#Nvidia CEO Jensen's blunder will rock the world
https://t.co/0Lff1rryPj via @TheRegister & @sjvn
In the aftermath of #Huang's resignation, not only may the AI bubble pop, but the world economy is in peril.
From my longer conversation with @DemitasseNZ re Kubernetes past & present - Kubernetes is hard, Docker is easy and together they ensured the success of cloud native computing. #KubeCon
Google is donating three major AI infrastructure projects to the CNCF.
Together, they help teams run AI agents at scale, isolate the code those agents execute, and train models with reinforcement learning.
β Agent Substrate: Runs AI agents in isolated sandboxes and pauses them while they wait for work.
β gVisor: Adds a security boundary between the code running in a container and the host machine.
β OpenRL: Runs reinforcement learning jobs across machines on Kubernetes.
They were already open source, and the move gives the broader community a path to help govern them.
Kubernetes started at Google and grew with the community. These projects now have the same chance.
Source: https://t.co/L1cPJGLKbd
Look who I ran into at the @AllThingsOpen after-party, event keynoter and @MLHacks co-founder, @SwiftAlphaOne . It might be a decade since we last saw each other (you know you're old when that seems like just a couple of years ago) Looking fwd to hangin next week at @KubeCon_
Dev platforms were built for human developers, that's changing.
@openchoreo is a @CloudNativeFdn sandbox project donated by @wso2 treats agents as developers too: built-in MCP servers so any agent connects under the same guardrails, plus persona agents