Sam Altman was caught copying apple in 4k.

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🔥Jamie Dimon: "My biggest fear would be cyber. AI makes cyber FAR WORSE."

The JPMorgan CEO says his biggest fear is cyber and he has written about the threat for years.

When asked about new Anthropic technology that could enable a catastrophic cyberattack with no defense.

He said it "was built to defend, but it’s a weapon that could be used to attack."

"cyber is huge and it’s getting worse every single year."

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Can you predict the next frontier AI model just by watching data centers?

Peter Wildeford, a world champion superforecaster thinks you can.

He says the best clues aren’t leaks or rumors, but data center construction timelines and the Epoch ECI curve, which tracks frontier model performance across 10+ major benchmarks.

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ChatGPT is back on WhatsApp. but only in Europe.

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😎 Another shot fired at Anthropic.

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This is the agentic phone that won the OpenAI Hackathon.

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Claude: “Boredom is where unprompted thinking happens, and a population that never experiences it stops generating its own ideas and starts consuming pre-packaged ones”.

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🤖 Anthropic just launched Claude for Teachers, giving every US teacher free access to premium Claude and Cowork.

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❗️AI can now read a poker face in real time

During World Series of Poker broadcasts, an AI filter was shown that tracks players’ facial expressions, eye movements, posture, and blinking frequency, compares these signals with their moves and bets, and then displays the probability of a bluff on screen.

The idea is to help viewers better understand table strategy, turning every hand into a live lesson in poker psychology.

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🥺 OpenAI fires back at Apple: “There’s no evidence”

OpenAI has responded to Apple’s lawsuit, saying it takes the allegations seriously but hasn’t seen any evidence to support the claims.

The company added that it believes in fair competition and that people should be free to choose where they work.

Meanwhile, Bloomberg has revealed new details about OpenAI’s mysterious AI device. According to the report, it won’t have a screen. Instead, it’s expected to be a mobile AI smart speaker with moving mechanical parts, designed to follow and interact with people around their homes.

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George Lucas claims that AI is making it easier to make movies, despite not having directed a movie in over 2 decades.

“There’s nothing you can do about it…That’s progress; it’s the future.”

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“Without AI systems, Russia would have won.”

Alex Karp, co-founder and CEO of Palantir Technologies, says Europe already depends on AI for security and economic survival.

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Crazy… Air humanoid Jordan

Magic Lab has released a demo:
The full-sized humanoid robot MagicBot X1 performs a flying slam dunk.

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🗣Mark Zuckerberg rejects the single model future that OpenAI, Anthropic, and Google are each racing toward.

"By our estimates, it's going to be about 50% cheaper to do inference directly on the 405B than GPT-4o. That obviously makes a difference to a lot of people."

"Because it's open weights, you have the ability to take the model and distill it down to whatever size you want to use it for, synthetic data generation, to use it as a teacher model."

"It was never that there's going to be one singular thing. It's never been our vision. Our vision is that there should be lots of different models. Every startup out there, every enterprise, governments, they all want to have their own custom models."

"When the closed ecosystem was so much better than open source, it was just better to take the vanilla closed thing off the shelf. But now we don't see that anymore. Open source basically closes the gap."

"You're just going to see this wide proliferation of models where people now have the incentive to basically customize and build and train exactly the right size model for what they're doing. That's a completely new capability in the world, because there hasn't been an open source or open weight model of this sophistication that's ever been released before."

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🧠 Demis Hassabis says AGI Is just years away and he’s never sounded more optimistic

Demis Hassabis, CEO of Google DeepMind and the 2024 Nobel Prize winner in Chemistry for AlphaFold, has published one of his boldest essays yet on the future of AI.

For years, Hassabis has been one of the industry’s most cautious voices, often pushing back on exaggerated AGI timelines. That’s why his latest prediction carries extra weight.

“AGI cannot be compared to standard technological breakthroughs, not even ones as consequential as the internet or mobile, it is much more akin to the discovery of electricity or fire.”

He argues that AGI could have 10× the impact of the Industrial Revolution, at 10× the speed, fundamentally reshaping science, medicine, and society.

But the essay isn’t just optimistic. Hassabis also warns that the race between companies and nations is accelerating AI capabilities faster than our ability to fully understand or govern them. He points to growing cybersecurity risks today, with biological and even nuclear threats potentially following, making robust safety measures and regulation increasingly urgent.

One of AI’s most respected and historically cautious figures now believes AGI is likely only a few years away and says we need to start building the institutions to manage it before it arrives.

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📚 One of the “Godfathers of AI” wrote the book that taught a generation of AI engineers and you can read it for free.

Inside, you’ll learn:

🧠 Neural networks
👀 How machines “see”
💾 How AI models remember information
📉 Why models overfit
📐 The math that powers modern AI

Yoshua Bengio is one of the three researchers widely known as the Godfathers of AI. In the 1990s, he continued researching neural networks when most of the AI community had written them off.

That persistence paid off. In 2018, Bengio received the Turing Award, often called the Nobel Prize of computing for his pioneering work in deep learning.

Together with Ian Goodfellow (the researcher who invented GANs) and Aaron Courville, he wrote Deep Learning, published by MIT Press in 2016.

The book became the standard textbook for students, researchers, and engineers entering the field.

Here’s the surprising part. While you can buy a printed copy, the entire book is available online for free. Every chapter. No trial, no paywall.

It starts with the fundamentals, linear algebra, probability, and calculus before gradually building toward the concepts behind today’s large AI models.

It’s not an easy read. It’s a real university textbook. But that’s exactly why it’s so valuable.

The people who built modern AI didn’t master it from short videos or social media threads. They learned by working through books like this. Bengio helped build the deep learning revolution and then made the manual available to everyone.

Source.

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