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Ethereum Crashes Below $2,000 as Nvidia Shock Hits Crypto

Ethereum Just Lost $2,000 — And the Dip Buyers Are Betting on Something Bigger Co-produced by Daniel Aharonoff and DigitalDan As the chief editor of ethdan.me, I've watched Ethereum test the $2,000 line plenty of times. Usually it holds. Usually the buyers show up, the line bends, and the story ends with a bounce. Today was different. Ethereum didn't just test $2,000 — it lost it, falling to $1,996.52 in early U.S. trading on Thursday, November 12, 2026, its first trade below the psychological line since August 19. Some data feeds put the intraday low even lower, at $1,983.82. And here's the twist that makes this more than just another red day: the trigger didn't come from crypto at all. It came from Nvidia. The chip giant's CEO, Jensen Huang, resigned, AI stocks sold off hard, and Ethereum — the asset Wall Street keeps insisting is the "AI blockchain" — got dragged down with them. So now the market is split in a way I haven't seen in weeks. On one...

Unveiling the R1: Rabbit Tech's Groundbreaking AI Pocket Companion

The R1 from Rabbit Tech has recently made a splash in the tech world, garnering both attention and skepticism from AI enthusiasts and critics alike. Launched at CES, this pocket-sized gadget is powered by a Large Action Model (LAM) AI assistant, setting it apart from traditional smartphones. Despite its unassuming hardware design, the R1 quickly sold out its initial 10,000 unit batch within just 24 hours of its release. Let's delve deeper into what makes the R1 unique and how it stands out in the crowded tech market:

Key Features of the R1:

  • Hardware Gimmick:
  • The R1 boasts a unique hardware design with a small screen, an analog scroll wheel, and a rotational camera.
  • Inside, it houses a 2.3 GHz MediaTek Helio P35 processor, 4 GB of memory, and 128 GB of storage, along with a USB-C port and an empty SIM card slot.
  • Software Differentiator:
  • The LAM AI system is the heart of the R1, offering advanced capabilities beyond traditional language processing models.
  • Rabbit Tech combines neural network methodologies with symbolic algorithms to create a more robust and versatile AI model.
  • LAM is trained through observation and imitation learning, allowing it to understand complex structures and user actions more effectively.

With its innovative approach to AI integration and unique design, the R1 presents a compelling option for tech enthusiasts looking for a pocket-sized companion that goes beyond the capabilities of a standard smartphone. As the tech world continues to evolve, the R1's LAM AI system and distinctive hardware features may pave the way for a new era of interactive and intelligent gadgets.

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