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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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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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Media is too big
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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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- 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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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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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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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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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 sentiment against OpenAI is growing daily:
"I think that right now they're beginning to overtake it," Hinton said of Google's position relative to OpenAI.I think it's actually more surprising than it's taken this long for Google to overtake OpenAI," Geoffrey Hinton, a professor emeritus at the University of Toronto who previously worked at Google Brain, told Business Insider in a Tuesday interview."
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"I think that right now they're beginning to overtake it," Hinton said of Google's position relative to OpenAI.I think it's actually more surprising than it's taken this long for Google to overtake OpenAI," Geoffrey Hinton, a professor emeritus at the University of Toronto who previously worked at Google Brain, told Business Insider in a Tuesday interview."
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Anthropic’s CEO Dario Amodei says he isn’t reacting to Google or OpenAI’s “code reds” because Anthropic is built for enterprise stability, not consumer hype cycles.
With a strong lead in coding automation, rising revenue projections, and sticky enterprise integrations, Amodei argues the company can keep scaling even if AGI arrives, because businesses value specialization, reliability, and deep vendor lock-in.
He also warns (again) that AI will eliminate many entry-level white-collar jobs, pushing companies and governments to retrain workers and redesign economic policy for an AI-powered society.
Source.
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The move marks another major step toward fully automated urban policing.
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