Jensen recommends three books on NYTimes podcast: "Well, I’ve read a lot of books. The book that made a huge impact on me was “Computer Architecture: A Quantitative Approach” by John L. Hennessy and David A. Patterson. It was the first computer architecture book that reduced the complexity, the abstract idea, of computer architecture down to engineering. And I love it when people take complicated concepts and reduce them to something that you could do something about. No. 2, I really loved “The Innovator’s Dilemma” by Clayton Christensen. Clayton’s passed, but his book on how industries evolve over time and how to see emerging technology and how to set proper expectations about it and how to extrapolate, maybe, its future impact. I really loved Al Ries and Jack Trout’s book “Positioning: The Battle for Your Mind.” It’s a really wonderful book about marketing strategy. More than that, actually, it’s a book about strategy and how people see the world and how people see products, and how you present products and how you see your own strategies. I thought that was a really thoughtful book, and really easy to understand."

Thanks Governor! Indiana gave me so much - an incredible public education & scholarships to college & law school - it is our family’s honor to pay it forward! We encourage all companies, philanthropists & parents across the country to get involved! 💰🇺🇸🚀

Grok Bot has just officially launched in @Tesla vehicles. I got early access a couple weeks ago. You can order stuff on online (such as Amazon), manage your email, calendar, finances, or other tasks through Grok @Bot using just your voice in your Tesla. There is no separate app, everything just lives within the existing Grok Voice interface in your Tesla (as shown in my Model Y below). One good use case for Grok Bot in your Tesla: You get in, tell Grok Bot to order coffee at a location of your choice, and while your Tesla drives you to the coffee shop using FSD (Supervised), Grok places the order so it’s ready when you arrive. Grok Bot in Tesla vehicles is currently only available to SuperGrok Heavy users, but will expand to more owners later. Connectors are available to all users.

Qwen4 全家桶即将到来！ Qwen4-Max Qwen4-Flash Qwen4-Plus 还有炙手可热的 Qwen4-27B！！！ 现场说未来Qwen 的模型规格会达到 5-10T！ Qwen 加油！干死达里奥！！

Users won’t be necessarily able to articulate it — but they are going to be increasingly frustrated when companies are holding back inference, restricting tokens naively at the cost of performance Once you have tasted the nectar of scaling tokens you just expect it

In response to the ZCode product security issues reported by the community, we have completed the necessary remediation and sincerely apologize to all our users. We have open-sourced ZCode at placing the code under community scrutiny and making ZCode more open and transparent. We sincerely thank the community developers who previously identified issues in ZCode. Going forward, we will establish an ongoing product security vulnerability reporting and response process. We welcome developers to continue reviewing ZCode and reporting potential issues, and we will provide rewards based on the severity of the issues reported. With respect to the code data referenced by the community, we confirm that no such data is retained and that it has never been used for model training. Following the remediation, we invited the China Academy of Information and Communications Technology (CAICT) and NSFOCUS to conduct security assessments. The results are as follows: Through its technical assessment, CAICT confirmed that the zcode-prod Alibaba Cloud OSS bucket is in a zero-data state. Security remediation has been completed in the ZCode v3.14.0 client. The Repo Wiki feature has been removed, and the workflow for generating and uploading local repository snapshots has been disabled. NSFOCUS confirmed that all data objects in the zcode-prod Alibaba Cloud OSS bucket, as well as the bucket itself, have been deleted. Remediation has been completed in the ZCode v3.14.0 client. The Repo Wiki entry point and the associated generation workflow have been removed, and no functional path capable of triggering the generation of local repository snapshots or transmitting local files externally was identified. Once again, we sincerely apologize and welcome continued scrutiny from the community. The full security assessment report will be released soon.

I get a lot of data on what people actually run on their Sparks. Here’s what I have: Solo DGX Spark - Most run Qwen3.8 Flash Next 2x DGX Sparks - GLM 5.3 Flash or DeepSeek v4.1 Flash 3x DGX Sparks, conf 1: - GLM 5.3 Flash on 2x DGX Sparks - Qwen3.8-Flash on solo DGX Spark - GLM as Orchestrator and Qwen 3.8 Flash Next as worker 3x DGX Sparks, conf 2: - GLM 5.3 Flash on all three, or - DeepSeek v4.1 Flash on all three 4x DGX Sparks, conf 1: - GLM 5.3 Flash on 2x DGX Sparks - Qwen3.8 Flash on 2x DGX Sparks - Logic: GLM as Orchestrator and Qwen 3.8 Flash Next as worker 4x DGX Sparks, conf 2: - DeepSeek v4.1 Flash on all four, or - GLM 5.3 Flash on all four 6+ DGX Sparks: With 6 or more, you have a LOT of flexibility. You can run many different combinations, but I hear from a lot of users who run this specific setup: - GLM 5.3 Flash on 2x DGX Sparks - Qwen3.8 Flash as on 2x DGX Sparks - DeepSeek v4 Flash on 2x DGX Sparks - Logic: GLM 5.3 Flash as orchestrator) + Qwen 3.8 Flash as worker + Deepseek v4 Flash as a security scanner/cyber. Me personally? I run GLM 5.3 Flash on all three of my DGX Sparks What are you running?

Today, we’re announcing Ternary Bonsai 2 27B. Based on Qwen3.8 27B, Bonsai 2 27B is 9x smaller than its full-precision counterpart while retaining 98.2% of its aggregate benchmark performance. Two months after the first Bonsai 27B release, the biggest change is quality. The footprint remains 5.9 GB, but the gap to full precision has narrowed materially, with particularly strong gains in agentic coding, multimodal reasoning, and long-horizon tool use. Ternary Bonsai 2 27B is available today under Apache 2.0.