Education … Back to each State so that there can be a degree of competition?

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Times Radio: Maduro “Captured” or “escorted out of the country”

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Big Think: The Three cognitive scripts that rule our lives. Anne-Laure Le Cunff

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Elon Musk’s advice for aspiring entrepreneurs. A Good Way to Start 2026

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Secretary Marco Rubio @SecRubio

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Musk’s ex wife Justine and what she had to say…

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Futurism: Godfather of AI Warns That It Will Replace Many More Jobs This Year

Model Citizen

Godfather of AI Warns That It Will Replace Many More Jobs This Year

Great.

By Frank Landymore

Published Dec 31, 2025 11:00 AM EST

"Godfather" of AI Geoffrey Hinton predicts that AI will continue to improve at a rapid pace, devouring our jobs in the process.
JORGE UZON/AFP via Getty Images

Rejoice, for the year of 2025 is finally over.

During our planet’s latest and seemingly interminable revolution around the Sun, the tech industry’s obsession with AI soared to ever more implausible heights. CEOs began openly gloating about replacing their underlings with AI “agents.” The phenomenon of so-called AI psychosis became a national news story as more people were seemingly driven over the edge by their silver-tongued chatbot companions. “Slop” took on a new meaning. And the word “circular” suddenly started being used a whole lot in the same sentence as “billions of dollars” or even “hundreds of billions of dollars.” 

Will 2026 finally deliver us from this endless cavalcade of large language model madness? Not likely, according to computer scientist and “godfather” of AI Geoffrey Hinton. AI will only continue to improve next year, he predicts, reaching a point where it will liberate us from all our horrible low-paying jobs.

“I think we’re going to see AI get even better,” Hinton said during an interview on CNN’s State of the Union on Sunday. “It’s already extremely good. We’re going to see it having the capabilities to replace many, many jobs. It’s already able to replace jobs in call centers, but it’s going to be able to replace many other jobs.”

Hinton was one of three recipients of the prestigious Turing Award in 2018 for his work on neural networks that formed the bedrock of modern AI, earning him the moniker of being a “godfather” of the field. 

In 2023, Hinton declared that he regretted his life’s work after stepping down from his role at Google, where he had been for over a decade. Since then, he’s become one of the tech’s most prominent doomsayers.

During the CNN interview, Hinton was asked whether he was more or less worried about AI since making that now infamous declaration.

“I’m probably more worried,” Hinton replied. “It’s progressed even faster than I thought. In particular, it’s got better at doing things like reasoning and also at things like deceiving people.”

AI is progressing so quickly, according to Hinton, that around every seven months it can complete tasks that took twice as long before. He predicted that it’s only a matter of years until an AI will effortlessly perform software engineering tasks that take a human a month to complete.

“And then there’ll be very few people need for software engineering projects,” Hinton added.

Hinton made similarly gloomy predictions in a talk with Senator Bernie Sanders last month, saying that tech leaders are “betting on AI replacing a lot of workers.”

It still remains to be seen, though, if AI will actually make those strides. Many efforts to replace workers with semi-autonomous AI models have failed, while some new models, like OpenAI’s GPT-5, showed only lackluster improvements.

More on AI: After Outcry, Firefox Promises “Kill Switch” That Turns Off All AI Features

Frank Landymore

Contributing Writer

I’m a tech and science correspondent for Futurism, where I’m particularly interested in astrophysics, the business and ethics of artificial intelligence and automation, and the environment.

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Douglas Murray: “What Israel has been up against…”

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The Deep View: AI Agents in 2025 …


 ENTERPRISE AI Agents in 2025: Breakthrough or overhyped?


It’s clear that 2025 was the year tech companies became obsessed with humans doing less. Practically every big tech firm went crazy over AI agents last year. The constant refrain at major conferences was agentic innovation, as these firms repeatedly touted the astonishing productivity gains that could result from installing digital coworkers alongside existing human workforces. 

Enterprise C-suites were all in on breaking agents out of the pilot phase and automating legacy processes. Agents even brought tech rivals like Anthropic, OpenAI, Google, and Microsoft together in a coalition dedicated to developing open-source standards for them. The excitement around the tech has reached such a fever pitch that Salesforce is even considering a total rebrand to Agentforce (à la Facebook-to-Meta in 2021). 

The big takeaway? We’ve built foundational models with formidable intelligence. Agents let us actually do something with them, Steve Zisk, principal data strategist for Redpoint Global, told The Deep View. “We’re finally at a point where the AI pattern recognition engines, if you will, start to actually resemble what people think of as human interactions,” said Zisk. “That has meant that a lot of people on both sides of the equation, the consumers, the big brands, big companies and so on, are reassessing what they can actually hand off to the machine.” Agents are the natural evolution of where AI and technology broadly are going, Prasidh Srikanth, senior director of product management at Palo Alto Networks, told me. Search engines democratized information, chatbots democratized intelligence, and now agents democratize work, he said. “It’s behaving on behalf of a human being, thinking about our intelligence and actually making sense of what you need to do to fulfill an objective,” Srikanth said. 

But despite all the buzz, anticipation and starry-eyed hopes, agents are far from ready to be our actual work companions, Neil Dhar, global managing partner at IBM Consulting, told me. As it stands, we’re still in the “first or second inning of the whole agent race,” he said. And while enterprises are aware that agents have the potential to upend the way we work, “people are just getting in tune with what an agent actually is.”
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The Rundown: Musk will soon mass-produce brain implants


🧠 Musk will soon mass-produce brain implants
Image source: Ideogram / The Rundown
The Rundown: Elon Musk said on X that Neuralink aims for “high-volume production” of its brain implants and automated neurosurgery this year — pushing brain-computer interfaces out of bespoke experiments and into scalable medicine.
The details:
Neuralink says about a dozen severely paralyzed patients now use its implant to control a computer cursor and play games using only their thoughts.The first wave of applications targets people with serious neurological disorders, helping them communicate and manage daily tasks. Musk said the device’s threads will pass through the dura — the protective membrane around the brain — without surgeons needing to remove it.​ Neuralink still needs to clear clinical trials and secure full FDA approval before it can move from tightly controlled experiments to routine medical use in the U.S.
Why it matters: Musk has previously talked about scaling to more than a thousand patients by 2026, backed by a hiring spree. If he can pull that off ahead of rivals like Synchron and Precision Neuroscience, the company will be first to test whether BCIs can move from a medical moonshot to something closer to a commercial product.
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