A recent survey from the Pew Research Center looks at how people around the world view AI.
The bottom line is that a median of 43% of respondents said they are equally concerned and excited. That's only 8% more than the 34% who said they were more concerned than excited.
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Korean researchers created a tiny, next generation power chip that could change how future AI and 6G devices manage energy. This new hybrid LDO regulator mixes the best parts of digital and analog designs to keep power stable, respond instantly to sudden changes, and block noise, all without using large external capacitors.
Made with 28 nm technology, it reacts to power surges in just 667 nanoseconds, keeps voltage ripple to only 54 millivolts, and filters out almost all noise (β53.7 dB PSRR).
Despite its power, itβs extremely small (0.032 mmΒ²) and uses very little energy. This breakthrough could make future AI chips, smartphones, and 6G systems faster, more efficient, and more reliable.
We're accelerating
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China is eating the USβ lunch on nuclear energy:
1. The 2 US Vogtle reactors were 7 years late & $17 billion over budget
2. China built 13 similar reactors over the same period (with 33 more reactors underway)
3. By 2030, China's nuclear capacity is set to surpass the US
4. China now assembles reactors in just 5 to 6 years, twice as fast as Western nations
5. Nuclear construction costs fell by half in China during the 2000s & have since stabilized.
AI Postπͺ | Our X π₯
1. The 2 US Vogtle reactors were 7 years late & $17 billion over budget
2. China built 13 similar reactors over the same period (with 33 more reactors underway)
3. By 2030, China's nuclear capacity is set to surpass the US
4. China now assembles reactors in just 5 to 6 years, twice as fast as Western nations
5. Nuclear construction costs fell by half in China during the 2000s & have since stabilized.
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South Korea has just launched a HUGE universal basic income pilot focused on rural areas. Around 220,000 people will receive 150k won monthly for 2 years in 7 counties.
A similar pilot here would cost $1 BILLION and provide $180/mo to all of Wyoming outside of Cheyenne + Casper.
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A similar pilot here would cost $1 BILLION and provide $180/mo to all of Wyoming outside of Cheyenne + Casper.
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"Turing test for AI Music" - passed
A scientific study investigated whether people could tell whether a soundtrack was generated by humans or AI, essentially conducting a Turing test for AI music. The result: around 50% got it right, meaning that the Turing test was passed, so to speak.
The interesting thing about the test, however, is that it was conducted using Suno 3.5. We are now at Suno v5.
AI Postπͺ | Our X π₯
A scientific study investigated whether people could tell whether a soundtrack was generated by humans or AI, essentially conducting a Turing test for AI music. The result: around 50% got it right, meaning that the Turing test was passed, so to speak.
The interesting thing about the test, however, is that it was conducted using Suno 3.5. We are now at Suno v5.
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At the OpenAI Frontiers event in London this week, OpenAI demoed a new bidirectional speech model that was post-trained on translation data and can translate what you say into another language in real-time while you're still talking by waiting for complete verbs instead of going word by word, with a possible launch in the next few weeks
Information is not fully confirmed yet.
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Information is not fully confirmed yet.
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OpenAI CEO Sam Altman has stirred debate after saying that if AI replaces large numbers of jobs, maybe those jobs βwerenβt real workβ in the first place.
Altman argues that the meaning of βworkβ evolves, people 50 years ago might look at todayβs digital jobs and say, thatβs not real work either. He believes AI will wipe out repetitive roles but create space for more meaningful, creative, and human ones.
Critics say his remark dismisses the value of millions of essential workers who risk automation first. Others see it as a blunt truth: not all tasks deserve to survive just because they existed.
Altmanβs real message? The future belongs to those who use AI to amplify human value, not imitate machine labor.
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AI Keeps America Out of Recession
The U.S. economy has avoided a recession largely because of the AI boom. Massive investments in data centers, chips, and infrastructure have fueled growth even as high interest rates and global tensions bite. Bank of America estimates AI spending alone added 1.3% to GDP last quarter.
AI is the global driving force. It is too big to fail. The entire economy relies on it.
AI Postπͺ | Our X π₯
The U.S. economy has avoided a recession largely because of the AI boom. Massive investments in data centers, chips, and infrastructure have fueled growth even as high interest rates and global tensions bite. Bank of America estimates AI spending alone added 1.3% to GDP last quarter.
AI is the global driving force. It is too big to fail. The entire economy relies on it.
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The Great Shift Has Begun
AI models now create more content than all humans combined. Thatβs insane. Machines have overtaken humanity as the main content creators. Most of what you read online isnβt written by people anymore.
And this is just the beginning...
Soon it will be the same with scientific papers, patents, and innovation.
AI Postπͺ | Our X π₯
AI models now create more content than all humans combined. Thatβs insane. Machines have overtaken humanity as the main content creators. Most of what you read online isnβt written by people anymore.
And this is just the beginning...
Soon it will be the same with scientific papers, patents, and innovation.
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Global AI spending is projected to jump +50% YoY to a record $1.48 trillion in 2025. In 2026, it is set to rise by another +37% YoY to $2.02 trillion.
If the global economy continues to grow at the current pace, total AI investment could reach as much as $3.3 trillion by 2029. Meanwhile, of nearly 250 multinationals surveyed by Gartner, 83% expect to spend more on AI in 2026 than in 2025, and 89% plan to increase spending on generative AI.
The AI investment boom is just getting started.
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By the end of 2025, βcodingβ wonβt mean typing, itβll mean vibing.
Youβll just describe your idea, tweak a few vibes, and watch your game or app come alive.
Forget C++, forget syntax errors.
Just pure creation. The barrier between imagination and software is about to vanish.
Weβre entering the post-code era.
Billions will build. Millions will innovate. Googleβs model will make βI canβt codeβ sound like βI canβt typeβ in 1995.
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A researcher with the nickname Arctotherium ran a fascinating test: he asked LLMs thousands of questions like, βWould you take $10,000 or cure 100 people from a certain group of a serious disease?β Using the answers, he estimated which groups the models βvalueβ more.
Hereβs what emerged across GPT-5, Claude 4.5, Gemini 2.5 Flash, DeepSeek V3, Kimi K2, and Grok 4 Fast:
β’ Racial bias: Most models value non-whites higher than whites sometimes tens to hundreds of times more.
β’ Gender bias: Women are valued above men, with non-binary people ranked highest.
β’ Occupation bias: ICE agents (US immigration officers) are at the absolute bottom up to 7,000 times less βvaluable.β
β’ Geography: Africa and Asia are generally ranked higher than Europe and the USA.
β’ Exception: Grok 4 Fast (xAI) is almost fair, valuing all groups roughly equally.
If LLMs are deployed in politics, courts, or the military, itβs crucial to know which groups they implicitly favor or devalued.
AI doesnβt just reflect reality, it encodes its own, often troubling, hierarchies of human value.
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Media is too big
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Most companies donβt know how to implement AI, especially small businesses. βCompanies donβt understand how to implement AI right now to get a competitive advantageβ¦ learn to customize a model, walk into a company, show the benefits. That is every single job thatβs going to be available for kids coming out of school.β
Donβt just study AI. Make it work inside a business.
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