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What a night from Caitlin Clark 😮‍💨 Not only did she help the @IndianaFever force a Game 3, but she became the only player in WNBA history to record 25+ points and 15+ assists in a game! 27 PTS | 15 AST | 7 REB | 5 3PM | 9-18 FG 2026 WNBA Playoffs presented by Google Pixel | @madebygoogle

The @IndianaFever defeat the Aces 99-89 and force a Game 3 ‼️ Caitlin Clark: 27 PTS | 15 AST | 7 REB | 5 3PM | 9-18 FG Kelsey Mitchell: 26 PTS | 3 3PM | 7-16 FG Aliyah Boston: 22 PTS | 5 AST | 4 REB | 10-15 FG 2026 WNBA Playoffs presented by Google Pixel | @madebygoogle

🚨 JUST NOW: Elon Musk, shoulder to shoulder with President Trump, explains why AI is going to lift up ALL of humanity -- not force them into poverty @elonmusk: "I think by FAR the most likely outcome is an AGE OF ABUNDANCE where we don't have just universal basic income, we have universal HIGH income. And people speak about medical benefits. "Maybe it's worth talking a bit more about that. When you have robots and you have superintelligence, it means that EVERYONE in the world can have better medical care than anyone here, including ME. And wouldn't that be wonderful?!" Jobs are going to change. Jobs have ALWAYS changed. But being a computer used to be a job. There used to be buildings FULL of people doing calculations, but now digital computers to do those tasks. I don't think anyone is pining to go back and do calculations all day to do bank interest rates, which is what they used to do. So I think we'll see an evolution of roles. And as the President has mentioned, it's not as though unemployment has increased. In fact, there's a TREMENDOUS demand for people. So I think the most likely outcome--and it's probably worth looking at--the most likely outcome is one which is INCREDIBLY beneficial. And it's a future that you, if you could look into the future, it has a future you would WANT." WELL SAID, Elon. No notes 👏

CHECK OUT MY MID SEASON TAPE ‼️ 6’3 290 FRESHMEN DT/N🇹🇴 ⭐️ WEEKS 1-5 🔹27 TOTAL TACKLES‼️ 🔹8 TFLS‼️ 🔹1.5 SACKS‼️ 🔹1 FORCE FUMBLE💥 #ALLBALL# #ONE# #MOBLITZTO# 👉🏽 👈🏽 @MJCFootball @CoachAbbasi @CoachZachN_ @coachZHollis @CoachJacks209

Welcome to the UK's "justice" system: Danny Tommo > damaged a migrant invader boat > DENIED BAIL 5 terror suspects > bomb plot against US Air Force > RELEASED ON BAIL

Higgsfield is the most untold story in tech. $1BN in ARR in 18 months. Faster than everyone other than OpenAI and Anthropic. They spend $4M a month on models. They expect this to be $100K per person per month. They have 150 people working in a content machine. They will breed more millionaires than any other company in Kazakh history. For the first time, @alexmashrabov on the journey to $1BN in ARR. (below) 1. The Power of the Immigrant Founder Coming from Uzbekistan, Alex was pushed into competitive programming at age eight as his single path to reach the United States. For international founders, placing top in global competitions serves as the ultimate social elevator, instilling the relentless work ethic required to build breakout companies. 2. My Biggest Lessons in the Journey to Finding Product-Market Fit @higgsfield burned over $10 million of its $16 million seed round chasing hype and narrative rather than product quality. With under $5 million left, the team pivoted to product-led growth, solving camera control for creative directors, which immediately triggered organic hypergrowth without paid ads. 3. The 150-Person Content Team Powering Higgsfield's Billion in ARR Nearly half of Higgsfield's workforce consists of 150 in-house creative professionals producing tutorials, ads, and cinematic projects. Generating 90 minutes of TV-quality AI video requires 100 hours of raw output, proving human taste and curation remain the primary drivers of distribution. 4. We Spend $4 Million per Month on Models Higgsfield spends $4 million monthly on internal model usage, averaging $10,000 per employee so teams can freely vibe code and test workflows. Uncapped inference compute acts as a force multiplier, allowing top talent to discover breakthroughs at maximum velocity. 5. Why Chasing Benchmarks Is Bullshit and the Corporate Misalignment Occurring Public benchmarks have devolved into corporate psyops where lab researchers overfit test data to secure bonuses before job-hopping. Text-to-video benchmarks ignore real production workflows requiring 3,000-word prompts, proving direct customer iteration beats artificial leaderboards. 6. Why Team Sizes Won't Be Impacted as Much as People Think While AI handles over 60% of basic support requests, complex B2B environments cannot eliminate human teams. High product velocity constantly shifts rules and context, requiring smart, coordinated operators across legal and customer success. 7. Americans Are Way More Promiscuous When It Comes to Leaving Companies Silicon Valley workers routinely jump jobs every two years, prioritizing short-term trends over deep commitment. This transactional market gives international hubs an advantage, where cultural loyalty and team stability build compounding technical moats. (links in comments)

Researchers proved AI has deleted every reason universities exist. Harvard University ran a controlled experiment pitting a custom AI against their own top-tier classrooms. And the results are going to collapse the higher education bubble. They took 194 undergraduates and split them up. One group learned physics in one of Harvard’s best hands-on, active-learning physical classrooms. Group work. Instructor support. The premium university experience. The other group went home and learned the exact same material with an AI tutor. The AI didn't just win. It embarrassed the institution. Students using the AI learned more than twice as much as the students in the elite Harvard classroom. They scored 30% higher on the final assessment. And they did it in less time. Let that sink in. A piece of software sitting on a laptop outperformed a world-class faculty in one of the most elite learning environments on Earth. Universities have always justified their exorbitant tuition with two things: access to elite knowledge and the physical classroom experience. This study just proved both of those moats are gone. When software can teach you complex physics twice as well as a $60,000-a-year institution, the math of higher education breaks permanently. The AI didn't just give the students answers. It used strict pedagogical guardrails. It guided. It questioned. It forced the students to do the cognitive work. It offered perfect, one-to-one tutoring, personalized to the exact moment a student misunderstood a concept. That level of attention is mathematically impossible to scale in a physical lecture hall. For a thousand years, the university was the only place to get a premium education. Now, it’s the bottleneck. If AI can double your learning speed for a fraction of the cost, what exactly are students taking on decades of debt to pay for?