Finance

Citadel CEO Ken Griffin Says U.S. Financial Brand Faces Unprecedented Threat

Hedge fund billionaire Ken Griffin recently warned that the early actions of the Trump administration have damaged confidence in U.S. Treasurys, which he views as one of America's most powerful financial assets.

“At the core of financial markets, nothing compares to the strength of U.S. Treasurys, the U.S. Treasury market, the U.S. dollar, and the creditworthiness of U.S. Treasurys,” Griffin stated at a Washington, D.C., conference hosted by Semafor.

“We’re eroding that brand right now,” he continued. “We are putting it at risk.”

Griffin emphasized that President Trump, Treasury Secretary Scott Bessent, and Commerce Secretary Howard Lutnick must be especially cautious in preserving these key financial advantages. “Once that brand is tarnished, it could take a lifetime to restore the damage,” he added.

TECH

Why Recycling Old Technology is the Key to Saving Money

For five years, my old iPhone X sat forgotten in a drawer, its screen cracked from a drop without a case. Apple’s trade-in program now offers me just a $25 credit for it—a far cry from the $1,000 it originally cost. This low value is a common story, as 31% of U.S. adults hold onto unused devices at home. While it’s tough to part with tech that holds sentimental value, recent promotions from Apple and Amazon offering discounts for recycling old gear made me rethink my tech-hoarding habits. Not only is it better for the environment to repurpose materials, but these promotions also offer new financial incentives to declutter and give old devices a second life.

CRYPTO

Paradigm’s $50 Million Bet on Decentralized AI: Nous Research Valued at $1 Billion

The crypto industry has been vying for a stake in the booming artificial intelligence sector, but despite significant investments, blockchain companies have faced challenges in making headway. However, things may be starting to shift with Nous Research, a decentralized AI startup that leverages the Solana blockchain as a core element in training its open-source models.