As uncle @JensenHuang would say, that loser premise makes no sense to me. Capability doesn't advance only as a smooth race for the biggest general model or the most FLOPs. The frontier is jagged, and the cleanest illustration is the strawberry problem. Ask a model that can hold its own with a physics PhD how many R's are in the word "strawberry" and for a long stretch it would answer two, confidently, every time. The same system could work through a graduate-level proof and then insist 9.11 is a bigger number than 9.9. Each specific embarrassment gets patched as it goes viral. The shape underneath survives every patch, that is - enormous strength in some places, sudden collapse in others, and no way to tell which ground you're standing on until you test it. But counting letters and numbers are funny failures. The expensive version of the same problem shows up in security. Hugging Face was mid-incident, working an agentic attack, and needed a model to review logs. The commercial frontier models refused due to "safety" reasons. From inside a guardrail, a defender reading attack traffic and an attacker reading attack traffic look identical, so the safest available behaviour is to decline. The team switched to an open-weights model on their own infrastructure and got the analysis done. The most capable system in the room was the one that couldn't help, at the exact hour it was needed. That refusal is one of many permanent structural feature of general-purpose models, and it sits right on top of a business. Aether AI operates in the gap between those two failures, and @tryaether_ai AI is Australian. So telling Australian founders the game is over at the model layer, dig up some lithium and prepare a robot tax, is exactly the wrong message. The scoreboard was never general-model scale. It's about who owns the jagged edges that customers, regulators, and national security actually pay for. Australia can own plenty of them. Some of us already do.

Make sure the stock-paired meme narrative lives on Robinhood. @0xDeployer @igoryuzo @JensenHuang @RobinhoodApp @RobinhoodCrypto @vladtenev @fern $JACKET 0x5ef897526d488c220de6038fefcc7f5f2492aba3

Here is the X account for the current CEOs of the top 10 largest American 🇺🇸 companies Nvidia $NVDA - @JensenHuang Apple $AAPL - @tim_cook Google $GOOGL - @sundarpichai Microsoft $MSFT - @satyanadella Amazon $AMZN - @ajassy Broadcom $AVGO - ??? Meta Platforms $META - @finkd SpaceX $SPCX - @elonmusk Tesla $TSLA - @elonmusk Berkshire Hathaway $BRK.B - ???

The 4th China International Supply Chain Expo (CISCE) opened in Beijing on June 22. #JensenHuang#, CEO of #NVIDIA#, delivered a video address, stating that China is one of the world’s major hubs for technology and industry. 6月22日，第四届链博会在北京开幕，#英伟达# 首席执行官黄仁勋视频致辞，他表示，中国是世界上重要的科技与产业中心之一。

Armenia and Kazakhstan with @FirebirdCloudAI are building the infrastructure to create intelligence at home, powered by the NVIDIA DSX platform. 📽️ Hear from @JensenHuang on this important milestone for the CIS region.

Korea has long been a technology leader, with the talent, industrial strength, and drive to help shape the AI era. President Lee Jae Myung met with our CEO @JensenHuang today ahead of the San Francisco AI Summit to discuss deepening the partnership behind Korea’s national AI ambitions.

JENSEN HUANG JUST JOINED X. LONG BEFORE NVIDIA AND ELON WERE HOUSEHOLD NAMES, THEY WERE ALREADY BUILDING TOGETHER In August 2016, @JensenHuang personally delivered @elonmusk the world's first DGX, a supercomputer Nvidia spent five years building specifically for AI research. He signed the machine by hand: "To the future of computing and humanity. I present you the world's first DGX-1!" Musk hadn't originally asked for it. Per Huang, the idea started with his own engineers, until Musk heard about the project at a conference and told him directly: "I want one of those." The two have continued to work together since. At the same conference where Huang told this story, Musk called him "awesome."