Since its debut in December 2025, Predict.fun has been wheeling $1.5 B among more than 120,000 users, completing over 3.3 million transactions. The acquisition of Probable-originally a darling of PancakeSwap and YZi Labs-marks the first major consolidation in BNB Chain’s glittering prediction market ecosystem.
In a scene that could have been lifted from the feverish pages of a Petersburg novella, the crypto market erupted with the sudden vigor of a silkworm spinning an unexpected thread. Bitcoin, that ever‑hungry serpent, slipped past the $71,000 mark, while Ethereum, flanked by its Gas, leapt over the $2,050 threshold as if it had … Read more
“Bitcoin,” he intoned, with a gravity befitting a sermon, “does not possess the discretion of a well-guarded ballroom. Its transactions are laid bare for all to see, and thus, subject to the meddlesome hands of those who would control them.” He further opined that central banks, those bastions of propriety, would scarcely deign to touch Bitcoin with a ten-foot pole. “It is simply not done,” he declared, as if the very notion were an affront to good breeding.
Let’s start with River-this one’s been on a little adventure lately. After some serious gains, it’s been trying to make a comeback from the deep end. On the flip side, Pippin seems to be going through a midlife crisis. While River is showing the world who’s boss, Pippin’s just trying to hold on for dear life, not looking too stable at the moment. They couldn’t be more different, but hey, that’s crypto for you.
In such an atmosphere, even the slightest whisper of fear, uncertainty, and doubt (FUD) can send the crowd into a frenzy. And for Bitcoin, that enfant terrible of the financial world, the stakes are particularly high. Nearly half of its supply lies submerged, drowning in unrealized losses, a testament to the faith-or folly-of its holders.
A new analysis reveals critical vulnerabilities in how blockchains communicate, potentially undermining their security and resilience to attack.
Combining quantum computing with federated learning promises enhanced privacy, but new research reveals significant resource demands when using fully homomorphic encryption.
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“The incongruity is as glaring as a misstep at a grand ball,” remarked Chris Tipper, the sagacious economist of the Ainslie Group, his brow furrowed in contemplation. Global liquidity, that elusive siren, has swelled by five trillion since Bitcoin’s zenith in October, now cresting at a staggering 190 trillion. Yet, the coin of the digital realm lies prostrate, as if spurned by the very forces that once courted it.
The researchers, which must have a weird Internet connection cause they’re pulling data from OpenAI, Anthropic, Google, DeepSeek, xAI, and MiniMax, tested the models across 28 currency scenarios-store of value, payments, settlement efficiency, and the usual mystery where the AI decides the money it hates most. Spoiler: Bitcoin got everyone’s tops.