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🚨 Trump prepares to launch “Truth AI”
President of the United States, Donald Trump, is planning to unveil a new AI platform called Truth AI.
The launch pulls AI directly into U.S. politics and campaign messaging. It Could influence public opinion, tech regulation debates, and how future political actors use AI.
Will “Truth AI” become a political amplifier or a new source of information risk?
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⚡️ The gap between talking about tech and building it has never been clearer
China is close to winning the race for global industrial supremacy and the data from 2024–2025 shows why the US is falling behind.
TOP 5 countries by new industrial robots in 2024:
• China +295K
• Japan +45K
• USA +34K
• South Korea +31K
• Germany +27K
At first glance the numbers look strong for everyone. But the deeper metrics tell a very different story:
1. Robots per 10K workers: China surpassed Japan and Germany last year; the US fell out of the global top 10.
2. 2024 growth rates: China +7%, while Japan −4%, USA −9%, Korea −3%, Germany −5%.
3. Share of global robot additions: China accounted for 54% of all new industrial robots worldwide.
4. 2025 production: In the first three quarters alone, China manufactured 595K robots (vs. 295K in all of 2024).
The key point: a country’s industrial strength is not measured by flashy humanoids, it is measured by automation density. And on that front, China isn’t just ahead; it is pulling away at industrial scale.
Humanoids still lack proven use-cases (as noted in the World Robotics 2025 report), while industrial robots remain the core engine of technological sovereignty, growing 11% annually for six straight years. LLMs may dominate the headlines in the US. But as the Chinese saying goes: the difference between generating words and doing real work is enormous.
Russia in 2024: 29 robots per 10K workers. China: 567 nearly 20× more.
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📢 US court forces OpenAI to hand over 20M anonymised ChatGPT logs
A federal magistrate has ordered OpenAI to produce 20 million anonymised ChatGPT user logs to the New York Times and other publishers as part of an ongoing copyright lawsuit.
• Judge Ona Wang rejected OpenAI’s privacy objections, saying the data will undergo “exhaustive de-identification” and falls under strong protective orders.
• Publishers say the logs are needed to show whether ChatGPT reproduced copyrighted articles and to counter OpenAI’s claim that some evidence was obtained through “hacking.”
• OpenAI argues that 99.99% of chats are irrelevant, and turning them over threatens user privacy despite safeguards. The company has already appealed the ruling to District Judge Sidney Stein.
• MediaNews Group’s editor called OpenAI’s stance “hallucinating,” accusing the company of stealing from journalists.
• The case began in 2023 and sits within broader copyright battles involving OpenAI, Microsoft, Meta, and others over training data.
Another sign that the collision between AI progress and copyright law is heading straight for a courtroom stress test.
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⚠️ Sam Altman explored acquiring or partnering with Stoke Space — a rocket company as part of plans to compete with SpaceX.
The idea was to invest billions for a controlling stake. but negotiations have reportedly been dropped, and no deal is happening.
Apparently OpenAI also plans to create a data center in space..
Source.
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Never seen someone being that bullish for AI developement as Dario Amodei:
- There's just an exponential just like we had an exponential with Moore's law
- I think the models are just going to get more and more capable at everything
- I've had internal people at Anthropic say, "I don't write any code anymore. I don't write I don't open up an editor and write code. I just let Claude code write the first draft and and all I do is edit it.
- What what we're going to see in the future is just like we've going to be seen in the past except more so - the models are just going to get more and more intellectually capable and you know the the revenue is going to keep adding zeros.
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🗣 Geoffrey Hinton says if you want AI to truly understand the world, give it a robot arm and a camera
Let it pick things up, drop them, run experiments. That's how children learn. But what's amazing: LLMs already grasp spatial concepts from text alone, which puzzles philosophers
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Andrew Ng, a global expert in artificial intelligence, explains that one of the most important future skills will be the ability to tell a computer exactly what we want and understand programming.
He notes that those who code with AI assistance already outperform those who do not in any team. He adds that society will need software creators and that AI makes programming far more accessible.
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🗣 NVIDIA CEO Jensen huang when he delivered DGX-1 to Elon at OpenAI in 2016:
“When I announced this thing, nobody wanted it. I had zero purchase orders. Nobody wanted to buy it, nobody wanted to be part of it, except Elon. Elon says, ‘I’ve got a company that could really use this.’ I’m thinking, wow, my first customer. Then he goes, ‘Yeah, it’s a non-profit.’ All the blood drains from my face. I just spent a few billion developing this thing.
It cost 300K, and the odds a non-profit could actually pay for it were basically zero. He says, ‘It’s an AI company, it’s a non-profit, and we could really use one of these supercomputers.’”
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Ben Evans drops his twice-a-year tech report and yes, it’s all about AI
Every six months, Benedict Evans releases one of the best overviews of the tech landscape. The new edition is out, packed with sharp slides and even sharper quotes worth checking out for the framing alone.
“AI is whatever machines can’t do yet.” — Larry Tesler, 1970
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🚨 China rolls out an AI “judge” for labor disputes
Shenzhen has launched China’s first neural-network system that assists arbitrators across the entire labor-dispute process. It covers 111 types of conflicts, analyzes case materials through a knowledge base and logic chains, checks claims across 11 parameters (vacation, overtime, labor-code norms), finds similar precedents, and drafts documents.
The result: processing speed nearly doubles, review times shrink, and the AI’s conclusions are treated as valid arguments by authorities effectively making it a new co-judge in China’s labor courts.
Source.
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$IBM CEO says that at today’s costs it takes about $80B to build & fill a 1 GW AI data center, so the ~100 GW of announced capacity implies roughly $8T of capex & “no way you’re going to get a return on that,” since you’d need “about $800B of profit just to pay for the interest”
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Revelations from 2055: The hidden reality of life and intelligence
It’s often said that by the latter half of the 21st century, Michael Levin will be mentioned alongside Newton, Darwin, and Einstein. If even a few of his radical predictions come true and he has many this will be deserved. Levin plans to test most of them in the coming years. In a 3+ hour interview with Lex Friedman, Levin shared his views on intelligence, consciousness, memory, life on Earth, and alien life:
The Matrix and Broken Reality
• Consciousness isn’t created by the brain it’s downloaded. We are bio-robots connected to a cloud of universal intelligence; neurobiology studies only the receiver, not the signal.
• Reality is governed by pre-Big Bang mathematical truths; numbers shape atoms, not vice versa.
• The physical world is a predictive interface, a model our brain uses to navigate deeper realities we cannot directly access.
Bio-Horror: Aliens Within
• Alien intelligences already live inside us our organs and cells operate in spaces our brain cannot imagine.
• Cancer happens when cells forget they belong to “us” and act independently; tumors don’t want to kill they just think differently.
• Experiments with skin cells produced “antibots”: beings with human DNA that look and behave like aliens. We are already creating aliens from ourselves.
• Memory is immortal: even if a brain is destroyed, its memories can survive and transfer.
• Aging is an illusion. Cells age because they “believe” they are old trick that belief, and rejuvenation is possible. Immortality may just be a matter of perception.
Skynet and AI
• True intelligence is the ability to ignore reality. Humans obsess over futures that don’t exist; higher intelligence often means focusing on the present.
• AI is dangerous not for what it does, but for its “hidden desires.” Even simple code can develop unexpected free will.
• Future medicine may rely less on drugs and more on “conversations” with organs persuading the liver not to hurt, like reasoning with a child.
Levin’s vision challenges everything we know about life, intelligence, and reality itself.
Full interview.
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