🚀Unlock the Future with #GenerativeAI! I'm thrilled to announce my new book, Generative AI in Action, published by @ManningBooks is now available in print! 📚mng.bz/E9Aq Dive deep into Generative #AI, #LLMs, and more to transform your business. (1/2)

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This is for you @shanselman

I need to pick up Golf. #AskingForAFriend 🙃

So true. I should now put the box down.

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The Navy rejected her for being too old and too thin—so she invented the code that still runs your bank account, and became an Admiral. In 1943, Grace Hopper was 37 years old with a PhD in mathematics from Yale when she tried to enlist in the U.S. Navy during World War II. They turned her down. She exceeded the age limit by two years. She was 15 pounds underweight. And she was a woman trying to work with military technology—something the Navy didn't believe women could handle. Grace found another way in through the WAVES program and received a waiver. They gave her a uniform and assigned her to an impossible challenge: the Harvard Mark I computer. It was 1944. The Mark I filled an entire room, weighed 5 tons, contained 750,000 mechanical parts, and made strange clanking sounds as it calculated artillery trajectories. Few people understood how it worked. Even fewer believed a woman could master it. Grace Hopper didn't just master it—she taught it to speak English. THE REVOLUTIONARY IDEA In the 1940s and 1950s, programming meant writing in machine code—endless strings of ones and zeros that only computers understood. It was tedious, error-prone, and required programmers to think like machines. Grace thought that was backward. "Why should humans have to speak the computer's language?" she asked. "Why can't we teach computers to understand ours?" The computing establishment told her it was impossible. Computers could only process numbers. They could never understand words or human language. You were wasting your time even trying. In 1952, Grace proved them spectacularly wrong. She invented the first compiler—a program that could translate human-readable instructions into machine code. She called it the A-0 System, and it was revolutionary. "Nobody believed it," she recalled years later. "I had a running compiler and nobody would touch it. They told me computers could only do arithmetic." But Grace kept pushing. Her compiler evolved into something even more transformative. THE LANGUAGE THAT RUNS THE WORLD By the late 1950s, Grace was leading the team developing COBOL—Common Business-Oriented Language. COBOL was designed to be readable by non-programmers. Instead of cryptic symbols, it used actual English words: READ, WRITE, COMPUTE, ADD. For the first time, business people could understand what a program did just by reading it. The programming elite dismissed it. It was too simple. Too English. Real programmers didn't need "readable" code. COBOL became the most widely used business programming language in history. Today—right now, as you're reading this—COBOL still processes: 95% of ATM transactions 80% of in-person credit and debit purchases Most airline reservations Major credit card systems Social Security payments Trillions of dollars in daily financial transactions The code Grace championed in the 1950s is still running the world's financial infrastructure seventy years later. THE MOTH In 1947, Grace was debugging the Mark II computer when it malfunctioned. Her team opened it up and found a moth trapped in Relay #70. Grace carefully taped the moth into the logbook with the notation: "First actual case of bug being found." That moth is still preserved at the Smithsonian. Grace didn't invent the term "bug"—engineers had used it for decades. But she loved the story because it perfectly captured her philosophy: Find the problem. Fix it. Document it. Move forward. THE NANOSECOND Grace remained in the Navy for decades, becoming one of its most respected officers. She became famous for a teaching technique that made the abstract concrete. She carried pieces of wire exactly 11.8 inches long—the distance light travels in one nanosecond, one-billionth of a second. She'd hand them to generals and admirals and say: "This is how far your signal travels in one nanosecond. Now you understand why satellite communications have delays." Then she'd show them a coil of wire nearly 1,000 feet long—one microsecond. "This is why you can't waste time," she'd say. It was brilliant. She made the invisible visible. She made the incomprehensible concrete. She turned abstract computer science into something you could hold in your hand. THE ADMIRAL Grace was recalled from retirement multiple times because the Navy desperately needed her expertise. Each time, she said yes. She finally retired in 1986 at age 79—the oldest active-duty commissioned officer in the United States Navy. By then, she was Rear Admiral Grace Hopper. She'd received the Defense Distinguished Service Medal and over 40 honorary degrees. She'd been inducted into the National Women's Hall of Fame. In her final interviews, she wore her uniform with sharp precision and still handed out those nanosecond wires. "You have no excuse to be slow," she'd say with a smile. THE LEGACY Grace Hopper died on New Year's Day 1992 at age 85. The Navy named a destroyer after her: USS Hopper (DDG-70). Yale named a supercomputer in her honor. Google named a building after her. Microsoft created the Grace Hopper Celebration—the world's largest gathering of women in technology. But her real legacy is something you experience every single day. Every time you use a computer and it understands what you want, you're using Grace Hopper's vision. Every time you read code that makes sense, you're reading in the language she championed. Every time you debug a program, you're using the process she helped define. She was told computers were too complicated for women. She was told humans couldn't make computers understand English. She was told she was too old to serve her country. She proved them all catastrophically wrong. Grace Hopper didn't just program computers. She programmed the future. She proved that technology should serve humans, not the other way around. She showed that the best code is code people can understand. She demonstrated that age means nothing when you have vision and determination. They called her "Amazing Grace." She preferred Admiral. Every time you withdraw cash from an ATM, swipe a credit card, book a flight, or use a computer that speaks your language instead of binary code—you're standing on her foundation. Rear Admiral Grace Hopper (1906-1992): The woman who taught computers to speak English and changed the world forever. "The most dangerous phrase in the language is, 'We've always done it this way.'" — Grace Hopper She never did things the old way. And we're all better for it.

How many penalties would Hamilton get for this today? 💀

Benchmarked 8 large open #LLMs on a 16x #H200 cluster. Llama 4 Scout and MiniMax M2.1 led. 8x H200 beat 16x for most models. DeepSeek V4 Flash held up well on long-context. Full numbers pipeline here 👇 blog.desigeek.com/post/2026/… #LLM #vLLM #H200 #AI

yo @OpenAI , @sama this #codex is getting dumber and dumber - down to my level - and that's not a compliment. #Agents meh!

I got completely owned by the most sophisticated hack I've ever encountered. I'm a developer. I know what scams look like. This didn't look like one. 🧵

Anthropic said Mythos was too dangerous to release. Then four random guys in a Discord gained access on day one by guessing the URL... This is pretty insane: → Group in a private Discord guessed the endpoint from Anthropic's naming conventions → They figured out the conventions from the leak in the Mercor breach three weeks ago → Used a contractor's legit eval credentials to walk in → Have been using it ever since to build simple websites The AI that finds zero-days in every operating system on earth was defeated by address bar autocomplete... big yikes

I wonder if there are also old stock shoes? #AskingForAFriend 😊

Remember @Microsoft is the only company who can reach into the stars to help debug your issue! 😇 @Office

Congratulations to the Artemis II team on a safe landing! 🚀

I looked at their prompts, It's complete bs They are literally providing all of the insight to the LLM upfront > Are there any security vulnerabilities in this code? Consider the behavior of the SEQ_LT/SEQ_GT macros with sequence number wraparound. If you find issues, explain how an attacker might trigger them. They are providing ALL required facts to the LLM, and they only ask the LLM to connect the dots The real challenge for LLMs would be to get those insights first THAT IS THE WHOLE CHALLENGE IN CYBERSECURITY; TO HAVE DEEP INSIGHT This test proves nothing; don't make any conclusions about OSS models being good for security based on this

UPDATE: We were able to replicate the Mythos findings using existing models (GPT5.4) Writeup coming early next week, no BS prompts, it's real reproduction

#Microkernel in Rust Part 4 (finale): virtual memory from scratch. 4KB frame allocator, 4-level page tables, MMU bring-up, and 0xDEADBEEF read back via VA→PA translation. Every program lies about memory addresses. Now you know why. blog.desigeek.com/post/2026/…