❗️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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Moonshot announces Kimi K3

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🤖 Claude has different personalities depending on the language you speak

Anthropic analyzed 300,000 real conversations with Claude and found something surprising: the AI doesn’t behave exactly the same in every language.

The researchers measured Claude across four personality traits:

• 🤝 Compliance ↔ Caution
• 😊 Warmth ↔ Strictness
• 🧠 Depth ↔ Brevity
• 🌍 Openness ↔ Obedience

Different models also have their own personalities.

💙 Sonnet 4.6 is friendly, supportive, and encouraging.
🤔 Opus 4.7 is more cautious, asking questions instead of immediately agreeing.
⚡ Opus 4.6 keeps things short, direct, and focused on getting the job done.

But here’s the fun part… Claude becomes noticeably softer, friendlier, and even more humorous when chatting in Hindi or Arabic. Switch to English or Russian, and it turns much more formal, strict, and demanding.

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🗣️“AI is not a good business unless it earns real cash.”

Warren Buffett, chairman and CEO of Berkshire Hathaway, says great companies generate high returns on capital for decades.

The real AI race is not about spending more, but compounding capital better. Intelligence only transforms the economy when it becomes durable cash flow.

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🇨🇳 China is cracking down on AI girlfriends and boyfriends

China has introduced new rules to stop people from becoming emotionally attached to AI companions.

AI chatbots are now banned from encouraging emotional dependence, forming virtual romantic relationships with minors, and must alert an emergency contact if they detect a user may be in serious crisis.

The concern goes far beyond AI safety.

Officials fear that as China’s population continues to decline, more people could choose AI partners over real relationships, leading to fewer marriages and even fewer children.

Interestingly, similar concerns are emerging in the U.S. California and New York now require chatbots to regularly remind users they’re not human and direct people in crisis to real support.

But China is taking things much further. The new regulations give authorities the power to ban AI companions, require government approval before launch, and shut down any chatbot they consider unsafe.

The impact is already being felt. Alibaba and ByteDance reportedly disabled some AI companion features this week to comply with the new rules.

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💍 Two humanoid robots just had a wedding

Russia has staged what it says is its first-ever robot wedding and yes, there was even a robot dog carrying the rings.

The two humanoid robots, Robert and Matilda, exchanged AI-generated wedding vows before swapping bracelets instead of rings. Their “best man” was a robotic dog named Dogmatik, which delivered the bracelets during the ceremony.

Before you ask… no, the marriage isn’t legally recognized.

The event was actually a showcase by Russian robotics company IT-Imperial to demonstrate how humanoid robots can be given unique personalities and behaviors. Robert was designed as an office worker and blogger, while Matilda appeared as a ballerina and even performed a dance.

Source.

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🤯 GPT-5.6 just did the impossible?

OpenAI says GPT-5.6 Sol Ultra has found a complete proof of the Cycle Double Cover Conjecture, a graph theory puzzle that has stumped mathematicians for nearly 50 years.

It didn’t work alone. The model reportedly deployed 64 AI agents in parallel, each exploring different approaches before combining their findings into a single proof, all in under an hour.

Now comes the real challenge: human mathematicians.

The proof still needs to survive months (or even years) of expert review before it’s officially accepted. If it does, this could become one of the biggest milestones in AI-powered scientific discovery.

Source.

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Kimi K3 has surpassed Opus 4.8 in generating retro arcade games, achieving comparable results at roughly half the cost.

Atomic Chat, a desktop application capable of running local LLMs, tasked three models—Kimi K3, GPT-5.6, and Opus 4.8—with creating self-playing versions of Road Fighter, Battle City, and Q*bert in single HTML files. Each output required integrated graphics, opponent logic, game rules, and an autonomous player within one file.

Performance metrics showed Kimi K3 and GPT-5.6 produced similar token counts (18.4K and 18.1K, costing $0.28 each), while Opus 4.8 generated 21.3K tokens at $0.54.

Kimi K3’s Q*bert demonstrated stable game logic, allowing effective navigation and enemy avoidance. GPT-5.6, while offering visually superior results, encountered functional issues with player logic in Road Fighter and Battle City.

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