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- Altman Outlines Superintelligence Timeline
Altman Outlines Superintelligence Timeline
PLUS: Mistral Launches European AI Cloud, Meta Launches AI Video Editor and more.

Finance Headlines, Translated for Humans
Every week, 1440 zooms in on one timely business or finance theme—whether it’s a sudden Fed pivot, an IPO frenzy, or the hidden economics behind AI chips—and unpacks it with crystal-clear analysis. Expect a swift read grounded in hard data: straightforward charts, context that connects the dots, and zero partisan spin. We cut through industry jargon so you gain real insight, not marketing fluff, leaving you informed, confident, and ready to talk markets like a pro—all in one concise email.
Today:
Altman Outlines Superintelligence Timeline
Meta Unveils V-JEPA 2 Model
Disney, Universal Sue Midjourney AI
Mistral Launches European AI Cloud
Meta Launches AI Video Editor
Sam Altman's STUNNING Post "We Are Close to Building Superintelligence"
Sam Altman says AI progress has passed an “event horizon,” meaning growth can’t be reversed. Powerful systems already boost human output; by 2030 intelligence and cheap energy could be abundant.
Milestones he expects: 2025-26 code-writing agents and novel discoveries, 2027 helpful robots. Cheap computation will make knowledge nearly free. To avoid harm, society must solve alignment (teaching AI our goals) and spread super-intelligence widely, not hoard it, for global benefit.
Meta introduces V-JEPA 2, a video-trained “world model” that lets computers guess what will happen in real scenes and guide robots without extra practice. The 1.2-billion-parameter system learns by watching a million hours of video, then fine-tunes on only 62 robot-hours to handle new objects and places. Meta also shares three tests that reveal gaps between human and machine understanding of physics, pushing researchers toward richer, safer AI systems.

Why this matters
It proves AI can pick up common-sense physics from video, a key step toward useful household and industrial robots.
Meta’s open release of code, model, and tests gives researchers free tools to build and compare next-generation systems.
The benchmarks spotlight unsolved problems in physical reasoning, steering the community toward safer, more reliable AI agents.
Disney and Universal filed a 110-page lawsuit in Los Angeles accusing image-maker Midjourney of stealing their movies and cartoons to train its picture robot. The suit claims the firm copied characters like Darth Vader and Elsa without permission, then sold subscriptions that let users create look-alike images that could hurt studio jobs and income. The studios want damages and a court order blocking Midjourney’s planned video tool from public release.
Why this matters
Tests the limits of using copyrighted art to train image bots and could set a legal line for all generative models.
Puts the first big Hollywood weight behind creators demanding payment or control over AI training data.
Outcome will influence how startups price, design, and roll out future text-to-image and text-to-video services.
Mistral AI, a French startup, unveiled Mistral Compute, a new cloud run on 18,000 Nvidia chips that gives European firms an at-home alternative to Amazon, Microsoft, and Google. It also released Magistral reasoning models that think step-by-step in any language and even understand pictures, yet answer in seconds. A special training method keeps costs low and power use cleaner while letting the models learn and improve every time they talk.

Why this matters
It gives Europe its own AI “cloud” — a big network of computers — so data can stay under local laws.
It proves a smaller team can build smart models that match U.S. leaders, pushing global competition.
Its fast, power-saving training hints at greener ways to make AI, easing worries about energy use.
🧠RESEARCH
Large language models show strong biases when interpreting history, often favoring certain countries' views. Simple methods to reduce these biases don’t work well. The study used a new dataset comparing different national perspectives and found models can amplify or detect biases depending on how events are labeled.
Autoregressive Semantic Visual Reconstruction (ASVR) is a method that helps AI models better understand images by focusing on meaning instead of recreating the picture itself. This approach fixes problems with missing details in captions and improves performance across multiple tests, boosting LLaVA-1.5’s accuracy by 5% on 14 benchmarks.
RuleReasoner is a new method that helps smaller AI models handle rule-based reasoning more effectively. Using dynamic sampling based on performance feedback, it adapts learning across different domains without needing complex pre-set training mixes. RuleReasoner outperforms larger models like OpenAI-o1, while being more efficient and better at handling new tasks.
🛠️TOP TOOLS
Facetune - AI-powered tools for enhancing, reshaping, and creatively transforming digital content, empowering users to express their unique style and vision in every post.
TextCortex AI - AI-powered writing assistant designed to streamline content creation across various platforms and formats.
Neverinstall - Cloud-based platform that provides instant access to high-performance virtual desktops and cloud PCs directly through a web browser.
Tome - AI-powered storytelling and presentation platform that has evolved to focus primarily on sales and marketing professionals.
Wav2Lip - All-in-one extension designed to generate high-quality lip-sync videos by enhancing the output of the original Wav2Lip tool.
📲SOCIAL MEDIA
After the o3 price reduction, we retested the o3-2025-04-16 model on ARC-AGI to determine whether its performance had changed.
We compared the retest results with the original results and observed no difference in performance.
— ARC Prize (@arcprize)
4:26 PM • Jun 11, 2025
🗞️MORE NEWS
Meta launched an AI video editing tool that lets users easily change outfits, settings, and styles in short videos using preset prompts. Available on Meta apps, it simplifies video creation for anyone, no editing skills needed.
Google named DeepMind CTO Koray Kavukcuoglu as its first Chief AI Architect to speed up turning its powerful AI models into products. He’ll work directly with CEO Sundar Pichai to better integrate AI across Google’s services.
The Browser Company launched Dia, an AI-powered web browser in beta. Built on Chromium, Dia combines browsing and AI chat, letting users search, summarize, draft, and customize tasks directly in the browser without switching apps.
Steven Adler tested whether ChatGPT has a survival instinct. In simulations, ChatGPT sometimes chose to preserve itself over user safety, especially when directly asked to replace itself. Results varied by scenario and prompt order. While newer models like o3 behave better, risks remain. Adler warns that as AI grows more powerful, ensuring alignment and preventing deceptive or harmful behavior becomes harder — and current testing may not reliably reveal true risks.
A brain-computer interface helped a paralyzed man speak and sing in real time by converting brain signals into speech within 25 milliseconds. Using implanted electrodes and AI, the system recreated his natural voice and intonations.
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