AI Post — Artificial Intelligence

❗️4 MIT students built Cursor just 4 years ago. Now it’s worth more than Ford. Their belief was simple: coding wouldn’t stay the same. AI would replace traditional programming, and whoever built that future first would win. That conviction turned Cursor into a rocket ship: $1B ARR in Nov 2025 $2B ARR by Feb 2026 Used by 67% of Fortune 500 companies 150 million lines of code generated daily Cursor says its only limit was compute power. Now that may be solved. SpaceX reportedly has the option to buy Cursor for $60B, or pay $10B for a partnership that gives Cursor access to Colossus, one of the world’s biggest AI supercomputers. Four students saw the future of coding early and now the world is paying attention. @aipost🏴

⚠️Ben Affleck just launched startup InterPositive and it immediately became part of Netflix’s ecosystem. The company is focused on AI-powered post-production: • video processing • color correction • unified visual styling • rotoscoping • repetitive studio work often outsourced overseas In short: the kind of jobs that once went to India, South Korea, Latin America, and the Philippines are now being automated. InterPositive is expected to target entry-level creative roles first. And the scale is massive, the Animation Guild estimates 2 million+ people work across these fields. Since 2023, 75% of entertainment executives have already adopted AI tools. In the next three years, projected job losses in the U.S. alone could reach 118,500. Some workers will transition into managing AI systems but far fewer people may be needed than before. Hollywood’s next disruption may not be streaming, It may be automation. @aipost🏴

⁉️ Geoffrey Hinton’s AI warning: What if there’s no next door? For 200 years, technology followed the same script: it destroyed old jobs, then created better new ones. Farm workers became factory workers. Factory workers became office workers. Each disruption…

⁉️Geoffrey Hinton’s AI warning: What if there’s no next door? For 200 years, technology followed the same script: it destroyed old jobs, then created better new ones. Farm workers became factory workers. Factory workers became office workers. Each disruption opened another door. Geoffrey Hinton says AI may be the first invention that doesn’t. Why? Because whatever door people run toward next, AI could already be waiting there. Lose a call center job, retrain as a coder, AI codes too. Pivot to law, writing, design, analysis, AI is moving there as well. That is what makes this wave different from tractors, machines, or the internet. Those tools replaced tasks. AI threatens to replace intelligence itself. Goldman Sachs estimates two-thirds of jobs in the US and Europe are exposed to AI automation. Early hiring in AI-heavy sectors is already weakening. Hinton’s real fear isn’t that jobs disappear. It’s that for the first time in history, the economy may not have a new door left to open. @aipost🏴

🇺🇸Washington’s AI paradox: Sue it in court, use it in secret The Pentagon is reportedly calling Anthropic a national security “supply chain risk” in court. At the same time, the NSA is reportedly using Anthropic’s most powerful model, Mythos Preview. Mythos was limited to roughly 40 organizations because of its offensive cyber capabilities. That small circle reportedly includes the NSA, while UK intelligence also has access through Britain’s AI Security Institute. Meanwhile, Anthropic CEO Dario Amodei reportedly met White House officials to discuss how the government could use the system. So in public, Washington warns the model may be dangerous. In private, its own agencies want access. That may be the clearest signal yet that frontier AI is becoming too strategic for governments to ignore. @aipost🏴

🗣Larry Page (Google's founding CEO) knew it back in 2007 "When AI happens, it's going to be a lot of computation and not so much clever Blackboard, whiteboard kind of stuff, clever algorithms, but just a lot of computation. My theory is that if you look at your programming, your DNA, it's about 600 megabytes compressed, so it's smaller than any modern operating system, smaller than Linux or Windows or anything like that, your whole operating system." @aipost🏴

🧬Google, DeepMind & MIT build AI Scientist for biomarker discovery A joint team from Google Research, Google DeepMind, and MIT introduced CoDaS, a multi-agent system that can run the full biomarker discovery pipeline autonomously from raw wearable sensor data to hypothesis generation, statistical validation, and final manuscript writing. • Discovered and named new biomarkers with no human guidance, including “late-night doomscrolling” as a predictor of depression severity. • Built-in adversarial checks rejected flawed but misleading results, like using glucose² to predict insulin resistance. • AI-written papers achieved an 86% acceptance rate in blind expert reviews. • Rival AI science agents saw rejection rates of 85% to 100%. • Compressed 37 person-days of expert research into 6–8 hours. AI is moving beyond copilots and into autonomous scientific discovery. Source. @aipost🏴

🤖OpenAI announced the release of it’s new AI image generation model OpenAI says ChatGPT Images 2.0 will "let users create accurate, complex charts and scientific diagrams". @aipost🏴

🚀Kimi launches K2.6 for open-source coding Kimi unveiled K2.6, a new open-source coding model built for long-running engineering tasks and autonomous agents. • Scores SOTA on key benchmarks like SWE-Bench Pro, BrowseComp, and Math Vision. • Handles 4,000+ tool calls and can run for 12+ hours continuously. • Works across Rust, Go, Python, frontend, DevOps, and optimization tasks. • Upgrades agent swarms to 300 parallel sub-agents managing 100+ files from one prompt. • Stronger frontend generation with WebGL, GSAP, Framer Motion, and Three.js. • Powers always-on agents like OpenClaw and Hermes. Open-source AI is moving beyond copilots into fully autonomous software teams. Source. @aipost🏴

💰 Amazon announces it is investing up to $25 billion in Anthropic, while Anthropic commits to spending more than $100 billion over the next 10 years on AWS technologies and securing up to 5 GW of Amazon’s Trainium chips to train and power its advanced AI models. @aipost🏴

🇺🇸 AI is now running the battlefield. Palantir's Maven Smart System just became an official Pentagon program of record, AKA, a central digital backbone of modern warfare. What it does: It pulls classified and commercial data together, runs AI computer vision models over it, and spits out targeting solutions for military assets in real time. Donald Trump called its battlefield capabilities “exceptional.” AI in the kill chain... what could possibly go wrong? @aipost🏴

🇨🇳LLMs are widely used in Chinese hospitals. At a Tsinghua hospital, 42 doctors and nurses use LLMs across 21 specialties. Recently, China's first fully AI-based hospital opened in Hainan. DeepSeek medical LLMs now serve over 260 real hospitals in China. Due to fewer regulations elsewhere, China leads and will continue to outpace other countries. @aipost🏴