Secure By Design LLC.

Claude Code Leaked Again... UGH! Here’s What Actually Matters for Your Enterprise open.substack.com/pub/daniellhan… @owasp @AFCEA @atarc @zeroception_io @neurosec @claudeai @OpenAI

Think twice before giving @GrowSF money — they might denounce you for it.

Jason Everman. Guitarist in Nirvana, bassist in Soundgarden. Kicked out of both. Most people would have called that rock bottom. Jason called it a starting point. In 1994 he put down the guitar and enlisted in the Army, eventually serving with the 2nd Ranger Battalion and then completing the Special Forces Qualification Course, deploying to both Afghanistan and Iraq as a Green Beret with 3rd Special Forces Group. After leaving the service he went to Tibet, studied in a Buddhist monastery, came back, and then earned a philosophy degree from Columbia University with a letter of recommendation from General Stanley McChrystal. Nirvana. Soundgarden. Army Rangers. Green Berets. Columbia University. There is no template for a life like that. Jason Everman just lived it.

Claude code source code has been leaked via a map file in their npm registry! Code: …a8527898604c1bbb12468b1581d95e.r2.dev/src.zip

Artemis II launch LIVE: Countdown begins as historic moon mission is go for launch livescience.com/space/live/art…

Starlink is actually that good

@SusieWiles Praying for you and your family...

Last week, I was diagnosed with breast cancer. Nearly one in eight women in the United States will face this diagnosis. Every day, these women continue to raise their families, go to work, and serve their communities with strength and determination. I now join their ranks. I am grateful to have an outstanding team of doctors who detected the cancer early and are guiding my care, and I am encouraged by a very good prognosis. I am also deeply thankful for the support and encouragement of President Trump as I undergo treatment and continue serving in my role as White House Chief of Staff.

A MIT professor taught the same lecture every January for 40 years, and every single time it was standing room only. I watched it at 2am and it completely rewired how I think about communication. His name was Patrick Winston. The lecture is called "How to Speak." His opening line hit like a truck: your success in life will be determined largely by your ability to speak, your ability to write, and the quality of your ideas in that order. Not your GPA. Not your pedigree. Not your IQ. How you speak is what separates people who get heard from people who get ignored. Here's the framework he drilled into MIT students for four decades. He said never start with a joke. Start by telling people exactly what they're going to learn. Prime the pump before you pour anything in. He called it the "empowerment promise" give people a reason to stay in their seats within the first 60 seconds. Then he broke down the 5S rule for making ideas stick: Symbol, Slogan, Surprise, Salient, and Story. Every idea worth remembering hits at least three of these. The part that floored me was his "near miss" technique. Don't just show what's right show what almost looks right but isn't. That contrast is when the brain actually locks something in permanently. His final rule before any big talk: end with a contribution, not a summary. Don't recap what you said. Tell people what you gave them that they didn't have before they walked in. I've used this framework in pitches, interviews, and presentations ever since watching it, and the results are not subtle. Patrick Winston passed away in 2019, but this lecture is still free on MIT OpenCourseWare. One hour, watched by millions, and it costs absolutely nothing. The most important class MIT ever put on the internet isn't about code or math. It's about how to make people actually listen to you.

Welcome to @xAI and 𝕏, Benji!

I am honored and grateful to be appointed by President Trump to the President’s Council of Advisors on Science and Technology (PCAST) and to be named Co-Chair along with OSTP Director Michael Kratsios. PCAST is the principal body of external advisors tasked with shaping science, technology, and innovation policy for the President and the White House. Thirteen of the world’s most accomplished leaders in science and technology will join us as this PCAST’s initial members. Together we will make policy recommendations to ensure that America leads—and wins—in artificial intelligence and other cutting-edge technologies.  I look forward to working with the initial members: Marc Andreessen, Sergey Brin, Safra Catz, Michael Dell, Jacob DeWitte, Fred Ehrsam, Larry Ellison, David Friedberg, Jensen Huang, John Martinis, Bob Mumgaard, Lisa Su, and Mark Zuckerberg. Thank you to President Trump for his visionary leadership on technology policy which attracts the top luminaries in their fields to serve. It is an honor to be part of this distinguished group.

@elonmusk Best product I’ve ever owned in my life. Also a great mobile vibe coding office

I rented one on Turo for spring break! FDS is the coolest thing ever invented! I got to interact with my kids while the car drove us around! Didn’t have to worry about strange streets and directions you are not use to while traveling! The car has a ton of room. The value is insane for what it offers. The kids loved watching it dance every night!

A massive March awaits. Mauricio Pochettino has selected his 27-man roster for upcoming matches against Belgium and Portugal! #NeverChaseReality | @ATT

United Kingdom 🇬🇧 - AstraZeneca has allegedly been breached by the LAPSUS$ group, who are attempting to privately sell a 3GB data dump containing source code, cloud infrastructure configs, and access secrets. dailydarkweb.net/astrazeneca-al…

We believe emergency systems should be easy to test. The Rescue Network now includes remote Test Mode, allowing schools to safely practice card activations and experience how the system responds, without triggering an actual emergency or sending notifications to responders. Practice doesn't just build confidence in your ability to manage emergencies, it also builds confidence in the technology you use every day to support and protect your people. Read more: punchrescue.com/testing-withou…

Wow! This weekend's warm weather pushed the Yoshino cherry trees to Stage Five: Puffy White. The blossoms are coming out, we're just waiting on them to open. We expect Peak Bloom this week! 🌸🌸🌸🌸🌸/🌸 Follow #BloomWatch at nps.gov/cherry #Cherryblossom #WashingtonDC

A Stanford student got reported for academic misconduct last semester. His research paper was so good his professor assumed he bought it. The academic integrity hearing lasted 3 hours. Here's what happened in that room. The panel asked him to explain his methodology from scratch. He opened his laptop, pulled up Kimi.com, and started rebuilding the entire paper live in front of them. First he fed it his raw notes and asked: "You are a research methodology expert. Here are my raw notes. Identify the 3 strongest arguments buried in this data, rank them by originality, and show me exactly where each one challenges or extends existing literature." The professors went quiet. Then he ran: "Now simulate a hostile peer reviewer with a PhD in this field. Generate every serious objection they would raise against my thesis. Then tell me which objections actually have merit and which ones I can dismantle." One professor leaned forward and asked him to stop so she could write down the prompt. He kept going. "Take my weakest argument and steelman it harder than I did. Show me what it would look like if it were airtight. Then tell me what I'd need to prove to get it there." Then the one that ended the hearing. "You are my thesis advisor. I have 24 hours before submission. Read this draft and tell me the single change that would move this from a B+ to an A. Be brutal." He walked them through how he'd used that last output to rewrite his conclusion three times until it held up under every objection in the room. What took most PhD candidates 6 months of back-and-forth with advisors, he was doing in real-time inside a single workflow. The panel didn't just clear him. They gave him the highest grade in the department's history and asked him to present the workflow to faculty. The irony is beautiful. The paper looked too good to be human because he'd found a way to think harder than most humans bother to. That's not cheating. That's the new ceiling.

Elastic and Dell AI Data Platform: The foundation for high-velocity enterprise search elastic.co/blog/elastic-d… via @elastic

Holy moly, Tesla/SpaceX’s Terafab will be ~100 million square feet, which is 10X larger than the main Giga Texas building, which itself is ~1 mile long. No wonder the Terafab won’t fit on the existing Giga Texas campus 🤯

Yesterday SpaceX launched 29 more Starlink satellites from Florida. Nobody cared. Routine. Another Tuesday. Here is what actually happened. Satellite number 10,074 entered an orbit where 300,000 autonomous collision-avoidance maneuvers were executed last year alone. Not by humans. By onboard machine learning that screens conjunction data from 30 million object-transit observations per day, computes probability in real time, and fires ion thrusters if risk exceeds one in a million. The industry standard is one in ten thousand. SpaceX set its threshold 1,000 times stricter and then automated the entire thing. Three hundred thousand maneuvers. That is 820 per day. Forty per satellite per year. Every single one decided and executed by AI faster than a ground controller could open the alert email. This is Tesla Full Self-Driving logic running in vacuum at 7.8 kilometers per second. SpaceX did not stop there. In January they launched Stargaze, a space situational awareness network built on the star trackers already aboard every Starlink satellite. Thirty million observations daily, conjunction screening delivered in minutes instead of hours, and they gave the data away for free to every operator on Earth. They just made themselves the air traffic control system for low-Earth orbit and charged nothing because the real product is not the data. The real product is the standard. Now connect this to last week. Terafab breaks ground in Austin. One terawatt per year of AI compute. Eighty percent allocated to space. D3 chips designed to run hotter in vacuum where radiative cooling is free. Satellites with 100-kilowatt solar arrays scaling to megawatt. Optimus robots replicating from raw materials. The Dyson Swarm bootstrap. Every analyst covering Terafab is modeling chip yields, capital costs, and process nodes. Not one of them is asking the question that determines whether any of it works: how do you manage ten thousand satellites without a single collision, and then scale that to ten million, and then to five billion? The answer already exists. It launched its 300,000th maneuver months ago. It processes 30 million observations every 24 hours. It operates at a collision-probability threshold three orders of magnitude beyond what any government or competitor has achieved. And it improves with every satellite added because more nodes means more eyes means better models means safer density. This is the orbital operating system for a Kardashev II civilization and it is already running. The Hormuz crisis proved that terrestrial supply chains are molecule-dependent and fragile. The Terafab announcement proved that Musk intends to move compute off-planet. But neither of those matter if the orbital environment becomes a debris field. The collision-avoidance AI is the gate. Without it, every satellite launched is a lottery ticket for Kessler syndrome. With it, density becomes self-reinforcing instead of self-destroying. Nobody is covering this because it is not a product announcement. It is not a keynote. It is infrastructure so foundational that it has become invisible, the way TCP/IP became invisible the moment the internet worked. SpaceX did not just build a satellite constellation. They built the nervous system of orbital civilization and trained it on 300,000 real-world decisions before anyone realized what they were looking at. The rockets are visible. The chips are headline news. The AI keeping ten thousand objects from destroying each other in silence at eight kilometers per second is the actual breakthrough. And yesterday they added 29 more nodes to the network. Routine.