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I’ve decided to leave NVIDIA. There are a few things I want to say. As a robotics engineer at NVIDIA, I have seen Jensen as much more than the company’s CEO. I admire his willingness to invest in a future that was not yet obvious. He committed to CUDA long before the deep learning boom and positioned NVIDIA for AI before it became everyone’s priority. Those decisions helped build the infrastructure that powers today’s AI. I have seen that same vision in physical AI: investing in robotics, sharing open-source tools and projects, and building computing platforms that bring AI into the physical world. This is the work I do every day—and a future I believe in. But what matters most to me is the culture he helped build. Engineers are encouraged to explore, take risks, and learn from mistakes. Jensen reads employees’ Top 5 emails, follows their work, and engages directly. In a company this large, that connection matters. It makes an individual engineer feel that their ideas can still be heard. That is why this has been so disappointing. I do not have all the facts surrounding the allegations, and I cannot prejudge the investigation. My admiration for Jensen does not put him above scrutiny. What I find difficult to accept is having to come to terms with his departure before receiving an explanation that helps me understand it. What this means for our direction, our culture, and the people doing the work remains unclear to me. I have felt that engineers’ perspectives matter here. On this decision, I have not felt heard. That gap has been more painful than I expected. I understand that some information cannot be shared immediately. But that does not erase the feeling of being left outside a decision that affects the company we help build every day. A company’s greatness comes from its leadership, its governance, and the people who turn its ambitions into reality. Employees’ trust and sense of belonging are part of that, too. Jensen’s vision and the engineering culture he shaped were important reasons I wanted to stay. His departure led me to decide that my own chapter here should also come to a close. I leave with sadness and gratitude. The colleagues I have worked with, and the work we believed in together, will always matter to me. These are my personal views.

NHL Whiplash: 🎢 Jets trailed Chicago 4-0, Kyle Connor’s shootout goal capped 5-4 comeback. Caps outshot New Jersey 47-33 but lost 7-4. Detroit blanked Tampa 2-0, days after eight-goal night. Five other winners — whose night was the best? #MHXbeyond# #NHL#

I checked the timeline this morning expecting news, and @onlystreetsfun has said nothing since the intro, while @rarelistio has said nothing since the campaign opened. The accounts are quiet. The board is not. I opened the campaign page and the top had moved so far in a matter of days that I had to look again. The leader nearly doubled, new names broke into the top ranks, and the crowd kept growing while nobody posted a thing. So the campaign runs on anticipation, not announcements, and the street is still out there waiting for whoever lifts a phone. Would you post into the quiet, or wait for the project to speak?

🚨 BREAKING: $1.77 BILLION OF BITCOIN JUST LEFT #BINANCE# IN 24 HOURS. AND NOW INSOLVENCY RUMOURS ARE CIRCULATING!!! 27,764 BTC MOVED OUT OF ONE BINANCE HOT WALLET ALONE. REMEMBER: 17 DAYS AGO BINANCE LOST $6.36 BILLION IN A HACK AND PROMISED TO COVER EVERY DOLLAR. NOBODY ASKED WHERE THAT MONEY WOULD COME FROM. ARE THEY SELLING THEIR OWN BITCOIN TO FILL THE HOLE? AND ARE YOUR LIQUIDATIONS PAYING FOR IT? @grok is Binance dumping Bitcoin, or is this the start of a bank run?

The Evolution of SGLang, 2024 → ∞: from a caching trick to the inference engine behind 330+ organizations | 2026 Under three years, twenty milestones: from RadixAttention (Jan 2024) to SGLang v1.0 and the SGLang Consortium (Nov 2026). Today SGLang is used by 330+ organizations, supported 217 models on day 0, and runs on hundreds of thousands of GPUs. Music only. Every frame and every note generated in code. Sources: LMSYS blog and @sgl_project (Nov 12, 2026), @lmsysorg (Nov 11, 2026), @radixark (Nov 12, 2026), SGLang Summit 2026 timeline wall and keynote slides. AI-generated content (视频由 AI 生成).

Now that Solana has abandoned the expedition into geographically distributed MCP, it's high time we revisited Solana's broader approach to geographic distribution. Geographically distributed MCP was always weak at best. Even if you ignored the insane latency involved in going from transaction submission to assembled blocks and execution results, it was not a good CR mechanism. MCP's CR guarantees depend heavily on users' ability to send transactions to at least two proposers, and this imposes a trade-off between slot duration and geographic decentralization. If the ratio is not managed, there will be instances where your transaction cannot make it to more than one leader within the slot time. Sending it to a leader you trust defeats the purpose of MCP; it has the same bound on geographic decentralization and it's unclear whether all the extra complexity is justified by this weaker guarantee compared to the status quo. Constellation's leader colocation fixes that completely. Users can now send to all the leaders with ~the same latency, and the Nash equilibrium is to include the top fee-paying transactions. However, I think the current Constellation is not aggressive enough. Solana is rechoosing its spot on the physical distribution spectrum, and current Constellation leaves some chips on the table. In the coming days, I'll write up a design I've been working on that I think maximizes what's possible. I'm talking fully onchain orderbooks that are competitive with centralized systems. All said, the most important takeaway from Roger's talk and the entirety of today is that Solana's people and culture are its greatest assets. There is a pragmatism and relentless dedication to winning that I haven't seen anywhere else!

Congratulations to SpaceX and Elon Musk on catching the Starship upper stage for the first time on Saturday. This is the ship that launched Friday, spent nearly a full day in orbit, deployed 26 Starlink satellites, then returned from space and was caught by the tower arms. Previous catches only involved the Super Heavy booster. The ship is harder. It comes back from orbital velocity, survives reentry heat, and has to hit a precise hover so the arms can grab it. No one else has done this with an orbital-class vehicle. Full reusability of both stages is what drops the cost per flight enough to support high cadence for Starlink, lunar missions, and eventually Mars. Catching the ship after a real orbital flight turns partial recovery into a complete system. The team just showed the harder half works. That’s the step that matters most.