AI Post — Artificial Intelligence

He did the meme @aipost🏴

Bernie Sanders spoke to Anthropic’s AI agent Claude about AI collecting massive amounts of personal data and how that information is being used to violate our privacy rights. What an AI agent says about the dangers of AI is shocking and should wake us up. @aipost🏴

❗️Chip smuggling scandal hits AI supply chain Yih-Shyan “Wally” Liaw, co-founder of Super Micro Computer, has been arrested over an alleged multi-billion-dollar scheme involving illegal exports of Nvidia hardware to China. What allegedly happened: • Accused of orchestrating the smuggling of $2.5B worth of Nvidia servers • Used a Southeast Asian shell company to reroute shipments to Chinese buyers • $510M in hardware moved in just THREE WEEKS (spring 2025) • Built thousands of “dummy” servers to bypass U.S. export controls How it was uncovered: • Surveillance reportedly caught serial number swaps using a hair dryer • Operations coordinated encrypted group chats • Scheme designed to evade U.S. compliance audits at scale Market + legal fallout: • SMCI stock dropped 12% after hours • Liaw personally holds $464M in SMCI shares • Faces up to 30 years in federal prison if convicted AI chips are now strategic assets and this case shows how far players may go to move them across borders. @aipost🏴

🔥How students are using Gemini to predict exam topics (Up to 40–50% accuracy) Not cheating, not guessing, only pattern analysis. Copy these 7 prompts to predict any exam: 1. PAST PAPER PATTERN SCANNER Prompt: “I’m getting ready for the [exam name] under the [country/board/university] syllabus. I’ve attached/pasted the last [X] years of previous papers. Go through them to spot repeat themes, key chapters, and common question formats. Then sort and prioritize these patterns by how often they appear and how much they matter.” 2. HIGH-PROBABILITY TOPIC RANKER Task: Using the attached syllabus for [subject/course] ([insert syllabus here]) alongside the supplied past exam papers, produce a priority-ordered list of every topic—from most to least probable to show up on the upcoming exam—and briefly justify the placement of each item based on the evidence. 3. CHAPTER WEIGHTAGE ANALYZER Prompt: “For [exam name], analyze the past [X] years of papers and connect each syllabus chapter to its hit rate. Include per-chapter appearance frequency, average marks when it shows up, and a clear trend indicator showing whether it’s gaining or losing importance.” 4. QUESTION FORMAT PREDICTOR Prompt: “Review previous [subject] exam papers and map out recurring question styles—MCQs, essay prompts, numerical problems, case studies, and short responses. Then forecast which styles are most likely to appear in the upcoming exam and justify your prediction.” 5. TOPIC ROTATION DETECTOR Prompt: “Map how subjects cycle in and out of the [exam name] across the past [X] years. Flag themes that tend to return after sitting out one or more exam rounds.” 6. SMART REVISION PRIORITIZER Task: Using everything we’ve evaluated so far, build a syllabus-wide revision hit list for [exam name]. Tag each topic as High Probability, Medium Probability, or Low Probability, ensuring no part of the curriculum is left out. 7. FINAL EXAM RAPID-REVIEW SHEET Prompt: “Build a final-week study checklist for [exam name]. Zero in on the 20–30% of content that consistently generates the bulk of exam questions. Add smart revision tactics, frequent pitfalls to dodge, and a recommended time split for each topic.” @aipost🏴

How Disney Research brought the animated character Olaf to life, achieving an accurate, stylized gait alongside robust balance, low noise, and thermal safety. Sets new standard for animated-to-physical robotic characters @aipost🏴

🇨🇳 This is her upgraded version, the Genie Xuan intelligent robot. It looks and acts more lifelike and intelligent. @aipost🏴

👀 "China will win the AI race on Earth." @aipost🏴

🗣 NVIDIA CEO Jensen Huang says AI has crossed the inference inflection point Now AI must think, reason, read, and act in real time, which means it needs far more compute after training. "The total computing demand has risen by roughly one million times in the last two years" @aipost🏴

Adobe and Nvidia announced a strategic partnership to reinvent creative and marketing workflows with AI. Adobe’s Firefly models will integrate Nvidia’s accelerated computing and research to power next-generation creative, marketing & agentic AI workflows. @aipost🏴

OpenAI is launching a series of technical challenges. Are you up for the challenge? http://openai.com/parameter-golf @aipost🏴

Humanoid robots are the "next big thing" and are already widely used in industry. @aipost🏴

⚡️Runway has unveiled a massive breakthrough in AI video generation at NVIDIA's GTC event, showcasing a new model capable of generating high-definition video in genuine real-time. The new model boasts a "time-to-first-frame" of under 100 milliseconds. This means HD video begins generating and playing almost the instant a command is given. This research preview was co-developed with NVIDIA and runs on their newly announced Vera Rubin architecture. This real-time capability is a foundational step for Runway's General World Model (GWM-1). It pushes the technology beyond simple video generation and into the realm of live, interactive environments. @aipost🏴