⚡️ 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.

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

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OpenAI is launching a series of technical challenges.

Are you up for the challenge?

http://openai.com/parameter-golf

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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.

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🗣 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"

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👀 "China will win the AI race on Earth."

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

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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

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🔥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.”

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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.

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He did the meme

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🔥OpenArt launched a new way to create with AI.

With OpenArt Worlds, you can generate a fully navigable 3D environment from a single prompt or image, step inside it, and capture shots exactly the way you envision them.

No more starting over.
No more inconsistent scenes.

You build the world once - and create inside it.

• Move through your scene freely
• Find your angles
• Add characters and elements
• Capture production-ready shots

https://openart.ai/suite/world

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Google has released a new full-stack coding experience for AI Studio!

https://aistudio.google.com/apps?pli=1

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OpenAI is planing to launch a Super App that would unify ChatGPT, Codex and Atlas into one, as reported by WSJ.

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🗣Mark Cuban says he's not worried about AI doom scenarios related to robotics because AI "doesn't understand the consequences of its recommendations":

"Right now, LLMs are basically bimodal: it’s almost all text and pictures, with some video. You can’t model the world with that."

"AI, right now, doesn't understand the consequences of its recommendations. It has no idea what happens next. A 2-year-old in a highchair and a sippy cup knows if it pushes the sippy cup off the highchair, mom's coming running, and the kid's going to start laughing at mom. LLMs don't understand [that]."

"So we have to evolve to models that can capture the world and physics, and deal with the latency of not having access to video that you can't see — you have to try to model that. And not only does that take up a lot of processing power, but it takes up a lot of bandwidth."

"And so the Terminators taking over, I just don’t see how it’s going to happen."

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Hey ChatGPT, cure cancer, make no mistake.

The story of the machine learning researcher who used AlphaFold to treat his dog’s cancer has captured hearts around the world.

Faith in humanity restored.

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