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Is Hyperliquid’s $3.64B whale book about to pick a side?

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Is Hyperliquid’s $3.64B whale book about to pick a side?

Hyperliquid whale positioning hits $3.64B as leverage splits evenly between longs and shorts.

Leverage on decentralized derivatives venue Hyperliquid (HYPE) has reached eye‑watering levels, with on‑chain data showing whale positions almost perfectly balanced between longs and shorts even as individual traders rack up eight‑figure unrealized profits. According to Coinglass figures cited by ChainCatcher, total whale exposure on Hyperliquid now stands at about 3.644 billion dollars, split into 1.821 billion dollars of long positions and 1.823 billion dollars of shorts. That leaves the long‑short ratio effectively at 1:1, a rare equilibrium that suggests aggressive positioning on both sides of the tape rather than a one‑sided bet on continued upside.

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At a P&L level, the skew is less balanced. Long positions are currently sitting on roughly 57.38 million dollars in profits, while shorts are down about 11.16 million dollars, reflecting how the recent grind higher in majors like BTC (BTC) and ETH (ETH) has quietly rewarded leveraged bulls. One address stands out: the whale wallet 0x6c85…f6 has taken a 20x leveraged long on ETH at an entry price of 2,012.11 dollars and is now running an unrealized gain of about 15.14 million dollars. That single trade captures the core dynamic on Hyperliquid right now—a structurally high‑leverage environment where a handful of well‑timed positions can print institutional‑scale P&L in days, but where a sharp reversal could erase paper profits just as quickly.

For market structure, the 3.6 billion‑dollar positioning and near‑perfect long/short balance turn Hyperliquid into a leverage fulcrum for the broader alt and perp complex. When books are this tightly matched, the direction of the next large move often comes down to exogenous catalysts—ETF flows, macro surprises, or idiosyncratic headlines—rather than slow positioning drift. With longs in aggregate comfortably green and shorts nursing losses, the path of least resistance in the near term is still higher; but if the tape turns, those same profitable longs become forced sellers, and the 20x ETH whales that look brilliant today are exactly the ones that can drive a cascade tomorrow.

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Crypto World

Tether Unveils AI System to Run Large Models on Smartphones

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Tether Unveils AI System to Run Large Models on Smartphones

Tether, issuer of the world’s largest stablecoin by market cap, USDT, has released a new AI training framework that it says allows large language models to be fine-tuned on consumer hardware, including smartphones and non-Nvidia GPUs.

According to Tuesday’s announcement, the system, part of its QVAC platform, uses Microsoft’s BitNet architecture and LoRA techniques to reduce memory and compute requirements, potentially lowering the cost and hardware barriers to developing AI models.

The framework supports cross-platform training and inference across a range of chips, including AMD, Intel and Apple Silicon, as well as mobile GPUs from Qualcomm and Apple.

Tether said its engineers were able to fine-tune models with up to 1 billion parameters on smartphones in under two hours, and smaller models in minutes, with support extending to models as large as 13 billion parameters on mobile devices.

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