🗣Bill Gates: AI will usher in one of the most turbulent eras in history.

“AI is both the most powerful tool for advancing equity and the greatest threat to equity humans have ever invented.”

“Many jobs will disappear. White-collar jobs first, with blue-collar ones to follow.”

“I worry that we aren’t preparing.”

“There’s no plan to ease the entry into the AI era, and not even a plan to have a plan.”

“The world has a chance to act now before unemployment rises sharply.”

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🤖 Claude solves a 25-year-old cryptography mystery in under 30 minutes

For decades, researchers questioned how the NSA chose the parameters behind widely used elliptic-curve cryptography standards. Anthropic says Claude has now uncovered a key part of the answer.

The model traced the origins of five NIST curves, including P-256, to a 1990s pseudorandom number generator seeded with Unix timestamps. Instead of breaking the encryption, Claude reconstructed how the original parameters were generated, helping address long-standing concerns about potential hidden backdoors.

Claude also identified how the base points of six related curves were generated, although several other curves remain unexplained.

Importantly, Anthropic says this is not a cryptographic break and does not mean existing systems need to change. The findings actually make deliberate backdoors less plausible, though some questions remain.

The amazing part is how quickly AI helped solve a problem that had resisted researchers for decades. Anthropic says the $36,864 bounty for identifying the seeds will be donated to the Internet Security Research Group.

Source.

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AI researchers have started SMOKING to show they believe AI will cure cancer, claims Palantir CTO.

Shyam Sankar says “so many AI researchers have started smoking” as a way of signaling “how much they believe in AI.”

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🗣Yuval Noah Harari: AI will take over the financial system.

“Today, very few people understand the financial system. For AI, it’s easy.”

“Increasingly, humans will give AI control of financial decisions.”

“AI will come up with new financial devices far more sophisticated than bonds and stocks, and we will not be able to understand them anymore.”

“In 10 years, there could be a financial crash and no human on the planet understands why.”

“The AI says, ‘Do X.’ We have no idea why, but we just have to believe it.”

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🗣Bill Gates claims “over the next year, we are going to have a lot of NEGATIVE SURPRISES” from AI cyberattacks.

Just 2 days ago, OpenAI and Anthropic were revealed to be PRIVATELY WAR-GAMING the fallout from AI cyberattacks. AI false flag risk is now VERY HIGH.

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🤖Anthropic wants the government to stop dangerous AI but only under strict conditions

Anthropic is quietly pitching US lawmakers its own AI safety bill, proposing rules that would make it possible to halt an AI model’s release in narrowly defined, high-risk situations.

According to Politico, the draft would allow intervention only when a model poses a foreseeable and imminent threat of causing more than $1 billion in damage or killing or seriously injuring more than 50 people. The risks would need to involve biological weapons, cyberattacks or an AI model bypassing its developer’s safeguards.

The proposal would also require independent evaluators registered with the US Department of Commerce to assess frontier AI models. If they identify a qualifying imminent risk, they would have 72 hours after completing their assessment to report it to the department.

Only a federal judge could order a model’s suspension, following action initiated through the Commerce Department. Other government agencies would be barred from independently halting its development or deployment.

Anthropic says the proposal reflects its broader Advanced AI Framework. The company wants a mechanism to stop genuinely dangerous AI deployments without giving the government unlimited power over AI development.

Source.

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🗣Anthropic co-founder Jack Clark tells the IMF the world is about to go from 10 million scientists to 10 billion (almost all virtual):

“According to UNESCO estimates, there are approximately 10 million scientists in the world. And even with only 10 million scientists, we have too few humans to oversee the work of today, too few laboratories to do material science analysis, too few biological labs to develop and test new drugs, and too few large pieces of scientific equipment in space or on the Earth for the experiments we want to run.

"Tell me what happens when instead of 10 million scientists, we have a billion virtual scientists directed by our own 10 million. Or 10 billion [virtual scientists]. That's the world predictably coming right for us. And we have to get ready. If we do get ready, we are going to be in a better position to translate the intelligence of AI systems into gains for us all. You know, longer, healthier lives, more energy, more food, more wealth.”

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Anthropics co-founder Jack Clark: "I believe that this year, we've gained convincing evidence that it [The Singularity] has now begun".

Even if you don’t believe that we have entered the singularity, Anthropic assumes that we have.

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⚠️AI is making fake medical research harder to detect

AI is giving scientific fraudsters a powerful new tool: the ability to manufacture convincing medical studies at scale.

Researchers are warning that paper mills are using generative AI to produce fabricated patient data, misleading statistical analyses and fake references. What once required weeks of work can now be generated in minutes, making fraudulent research harder for journals to identify.

The danger goes beyond academic dishonesty. If fabricated studies enter medical databases, they could influence systematic reviews, distort clinical guidelines and ultimately affect decisions about patient treatment. AI-generated citations add another layer of confusion, making it harder to distinguish reliable evidence from scientific fiction.

The problem is that peer review was never designed to handle an industrial-scale flood of synthetic research. Experts are calling for stronger editorial checks, automated fraud detection and better verification of underlying data.

AI could accelerate medical breakthroughs, but it could also pollute the scientific evidence doctors depend on. The challenge is no longer just producing reliable research, it’s making sure the research being published is real.

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🤖 Anthropic is putting $48 billion toward the public good

Anthropic is committing 5% of its shares to a new fund designed to support the public good, a stake worth roughly $48 billion based on the company’s reported $965 billion valuation.

And the fund could grow even larger. Anthropic’s board can add another 2% of the company’s shares for every 50% increase in its value above an undisclosed baseline.

Unlike a traditional charitable foundation, the fund will operate as a wholly owned LLC, giving it flexibility to make large donations to nonprofits or distribute money directly to specific groups of people. Its equity cannot be used to fund lobbying or political donations.

This builds on Anthropic’s existing commitments. Its co-founders have pledged to give away 80% of their own shares, while roughly half of employees donate some of their shares through a matching program. Together, these commitments could put around one-fifth of the company’s equity toward public causes.

Anthropic is reportedly preparing for a potential IPO, with speculation about a valuation approaching $2 trillion. Meanwhile, the AI industry faces growing criticism over job displacement, data-center expansion and safety risks.

Source.

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