🙃Elon Musk cautions that the time left is short:

You have 3 years at most to keep earning from selling your work. After that, AI takes over most tasks, and paying people for their time stops making sense.

The 200-year-old model, "I give you your salary in exchange for your time", will soon be over.

This will set off the largest wealth transfer in modern history. People already making the shift get it. People waiting for the headlines will show up too late.

In the end, what you own counts for more than how much you work. The smartest asset to build right now ranks above Bitcoin and land: an income stream powered by AI that compounds while you sleep.

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🥺 Sam Altman says AI reasoning is moving into a new league

In a conversation with Salesforce CEO Marc Benioff, Sam Altman described a striking progression in AI’s mathematical abilities.

GPT-5.5 was compared to an average math professor, GPT-5.6 to the top 1–2%, and Astra to a level slightly beyond that. Altman reportedly said OpenAI’s next internal model was tackling problems that even top mathematicians struggle with.

If these comparisons hold up, the bigger story isn’t any single benchmark. It’s how quickly the bar keeps rising.

AI is moving beyond answering questions toward solving problems that have challenged experts. The next generation could be a very different beast.

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SpaceXAI has officially been rebranded as SpaceXSI.

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❗️A top mathematician warns against sharing original ideas with ChatGPT

Tristan Buckmaster still uses AI tools but says he no longer shares his original research ideas with OpenAI or Anthropic.

His concern grew after OpenAI published 722 mathematical manuscripts covering 372 families of results, generated using an experimental model unavailable to outside researchers. He fears young mathematicians could see years of work overtaken overnight.

He also warns that grant reviewers sometimes upload research proposals to AI tools, potentially exposing confidential ideas.

OpenAI denies misusing user data, and there’s no proof it took Buckmaster’s work.

His warning: the AI helping you make a breakthrough could belong to a company racing to make that breakthrough first.

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😐 Jensen Huang: China is no longer catching up in AI. In many fields, it has become advanced.

Nvidia's CEO said it clearly:

"50% of the world's AI researchers are Chinese."

"70% of AI patents last year were published in China."

"China's AI ecosystem is vibrant, rich, and unbelievably innovative."

"Nine of the top ten science and technology schools in the world are now in China."

"We used to lead most of these fields. Now they lead most of them."

The statement from the man who sells chips to both sides. And the message is clear: The race is no longer one-sided.

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❗️AI replacing jobs is no longer just a prediction

For years, we debated how AI would affect the labor market. White-collar automation seemed inevitable, but convincing real-world evidence was harder to find.

Now, the picture is beginning to change. Call centers are an early example of how AI can automate work previously performed by humans, and increasingly capable AI agents could bring similar pressure to other professions.

AI will create new roles, industries and opportunities, but there is no guarantee that these jobs will appear fast enough or in sufficient numbers to replace the ones being lost.

The assumption that technological progress will automatically produce a net-zero impact on employment deserves serious scrutiny.

If AI can perform more tasks at lower cost, companies have a clear incentive to automate. The consequences could extend far beyond customer support, affecting administrative work, finance, software development and other white-collar professions.

This is no longer just a question about what AI might be able to do. It is a question about how society will respond when the technology can do more of the work people depend on for their livelihoods.

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🥺 Sam Altman thinks AI may surpass us, but it won’t make us happy

“This was the year that I think AI got smarter than us,” Sam Altman said, suggesting humanity may have crossed a historic threshold without fully realizing it.

What comes next? Even Altman doesn’t know. Questions once confined to science fiction including whether humans could live forever inside computers are increasingly entering mainstream discussions.

Altman recently praised Pantheon, an animated series exploring digital consciousness and the possibility of uploading human minds, calling it the best show he has watched in a very long time.

But even if AI becomes smarter than humans, Altman doesn’t believe it will solve everything.

“I think we’ll all still find ways to be miserable and manufacture a bunch of adversity.”

In other words, intelligence may solve many of humanity’s problems, but it won’t necessarily solve human nature.

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❗️Karpathy: 5,000 people are living in a different AI world

Andrej Karpathy believes the gap between public perception of AI and its real capabilities has widened dramatically over the past six months.

Around 6 billion people have barely used LLMs, while another 1–2 billion mainly treat free chatbots as improved search engines. Meanwhile, roughly 20 million developers and mathematicians are already using frontier models to complete projects in days that once took far longer.

But inside AI labs, a much smaller group of around 5,000 people is seeing something even more extreme: thousands of AI agents working for weeks to find software vulnerabilities and explore scientific and mathematical problems faster than humans can verify the results.

Karpathy attributes this divide to task complexity, uneven model capabilities, and access. Simple questions reveal little of what AI can do on large, complex tasks. Models perform particularly well on digital problems with verifiable outcomes, where reinforcement learning can optimize their performance.

The result is a strange reality, most people see chatbots that still make obvious mistakes, while a tiny group watches AI capabilities accelerate at a pace that is becoming difficult to comprehend.

Both worlds exist simultaneously but the gap between them keeps growing.

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🥺 Sam Altman: a candidate definition for super Intelligence is AI that can be President of the United States, lead a major company, or run a top scientific lab better than any human can.

“Even with the assistance of AI.”

“With chess, there was a point where a human and AI together were better than AI alone.”

“Then eventually, the person was just making it worse.”

“The smartest thing was the unaided AI.”

“I think something like that is an interesting framework for superintelligence.”

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🗣“On Tuesday night, I cried, and it woke my daughter. OpenAI annihilated my field of research. They wanted to prove they could massacre us.”

These are the words of Fields Medalist, Hugo Duminil-Copin, who was working on 16 problems OpenAI now claims it has solved.

And he says some mathematicians may now keep their research problems to themselves rather than share them publicly. AI might actually make mathematics less open.

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