JUST IN - Trump sues JPMorgan Chase and its CEO Jamie Dimon in a $5 billion lawsuit for debanking him for political reasons

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COMMANDER BOVINO WENT OFF on the fake news “press” for demanding to know how many illegals have to be deported before DHS leaves MN

“The number is ALL OF THEM!”

“You're worried about numbers. I'm worried about the DEATHS OF AMERICANS.

Let's talk about that. Maybe Jocelyn Nungaray—what her last moments were like… We NEVER hear about her or the other thousands of American citizens.

I'm worried about that—VASTLY more than a number or date. We're going to make mom and pop America SAFE!”

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No Tariffs = Bitcoin dumps

Tariffs announced = Bitcoin dumps

Tariffs cancelled = Bitcoin dumps

This market is totally broken

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JUST IN: Gold reaches another all-time high of $4,900

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2 sticks of ram cost $900 because of this btw

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JUST IN - Trump says The Times Siena Poll will be added to his lawsuit against The New York Times

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BREAKING - Trump says he is suing New York Times:

'They have to pay a price for fake and fraudulent news"

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“Yes, Derek, there’s only one man who can restore order in Minneapolis. We need to deprive these protesters of oxygen. But this one’s strictly off the books…”

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Silver just hit $96 for the first time in history

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AI-assisted amateurs are now cracking famous unsolved Erdős problems—mathematics is changing.

Amateur mathematicians, aided by powerful AI chatbots, are starting to solve decades-old mathematical puzzles that have long challenged professionals, signaling a potential transformation in how mathematics is practiced.

A major focus has been the famous collection of over 1,000 problems posed by the legendary Hungarian mathematician Paul Erdős—questions known for being simple to state yet notoriously difficult to resolve. These problems, meticulously cataloged online by mathematician Thomas Bloom, have recently been fed into advanced AI tools like ChatGPT.

Modern AI systems can now not only scour vast mathematical literature for relevant theorems and results but also propose intricate proofs. For instance, undergraduate student Kevin Barreto and amateur mathematician Liam Price harnessed ChatGPT-5.2 Pro to tackle Erdős problem 728 in number theory. They then verified the AI-generated proof using another system, Aristotle, which translates mathematical arguments into formal language that computers can rigorously check.

To date, AI-assisted efforts have produced solutions to six Erdős problems. Upon closer inspection, five of these turned out to have been previously solved but overlooked in the literature. This leaves problem 205 as the first genuinely new solution credited to a human–AI collaboration.

Even when rediscovering existing results, experts like Thomas Bloom and Fields Medalist Terence Tao emphasize that AI is revolutionizing the process. It rapidly uncovers obscure papers, bridges gaps between mathematical subfields, and allows researchers to explore techniques far outside their personal expertise.

The problems solved so far are generally at the level a capable early PhD student might handle. The most challenging Erdős questions—and those carrying substantial monetary bounties—still remain beyond current AI capabilities. Nevertheless, many mathematicians see promising “green shoots” of a new era: a more empirical, accelerated style of mathematics where AI enables the rapid, parallel exploration of thousands of problems and methods, dramatically expanding the pace and reach of discovery.

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Investor risk appetite is near-record levels:

The S&P Global Investment Manager Index rose to +41% in January, the highest reading since April 2021.

This gauge covers a monthly survey of ~300 institutional investors overseeing over $3.5 trillion in assets.

This marks the 4th consecutive monthly increase in risk appetite.

Now, 58% of fund managers expect US equity gains over the next 30 days, while only 16% anticipate losses.

As a result, the near-term market outlook jumped to +32%, the 2nd-highest in 4 years.

Wall Street is betting on a continued stock market rally.

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Natural molecule CaAKG restores early memory in Alzheimer’s models—aging brain hope?

Researchers at the National University of Singapore have discovered that calcium alpha-ketoglutarate (CaAKG)—a naturally occurring metabolite already present in the human body—shows remarkable potential to safeguard the aging brain against Alzheimer’s disease.

In laboratory models of Alzheimer’s, CaAKG significantly improved communication between neurons and revived early-stage memory processes that typically deteriorate with age. It enhanced synaptic plasticity, the brain’s essential ability to form and strengthen new connections, which is vital for learning and long-term memory and is severely impaired in Alzheimer’s.

The compound also boosted the brain’s natural autophagy process, helping cells clear out harmful, damaged proteins that accumulate and damage neurons over time.

Importantly, the researchers identified a novel pathway through which CaAKG works: it activates specific calcium channels and receptors to increase neuronal flexibility, while avoiding disruption of other pathways often affected in Alzheimer’s. The molecule successfully restored synaptic tagging and capture—a critical mechanism that allows the brain to link events and form associative memories, one of the earliest cognitive functions lost in Alzheimer’s disease.

Since alpha-ketoglutarate levels naturally decline with age and CaAKG is already a safe, endogenous compound, the team believes it or similar “longevity” molecules could one day complement current Alzheimer’s therapies. Rather than merely managing symptoms, these compounds may target the underlying biology of aging itself.

While the results are highly encouraging, they come from experimental models. Human clinical trials will be essential to confirm whether CaAKG can safely and effectively slow cognitive decline in people.

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