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Party’s Over for Crypto Scammers Who Went on a Spending Spree After a $240 Million Bitcoin Theft
Malone Lam's plea hearing approaches in the $240 million bitcoin social engineering theft; the case highlights surging crypto fraud and limited enforcement.
Malone Lam, accused of organizing a social engineering attack that stole over $240 million in bitcoin (4,100+ BTC) from a Washington, D.C. resident in August 2024, has a plea agreement hearing set. Callers impersonating Google and Gemini staff tricked the victim into revealing security codes. Lam and 17 co-defendants spent lavishly before FBI arrests; crypto investment fraud complaints to the FBI rose nearly 50% in 2025 while DOJ disbanded its crypto crimes unit.
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unsloth/Qwen3.8-Flash-Next-GGUF — new model trending #21 on Hugging Face
Qwen released Qwen3.8-Flash-Next, an experimental 125B-parameter open-weight MoE previewing the Qwen4 architecture, with Unsloth shipping optimized GGUF quants.
Qwen released Qwen3.8-Flash-Next, an experimental open-weight preview of the architecture planned to underpin Qwen4. The model has 125B parameters with 6B activated, 512 experts (10 routed plus 1 shared), Qwen Sparse Attention (QSA), Gated DeltaNet, Gated Residual, and n-gram embeddings, with 262,144-token native context extendable to 1,000,000 tokens. Unsloth provides Dynamic 3.0 GGUF quantizations, and multi-token prediction (MTP) delivers 1.3-1.7x faster inference via llama.cpp or Unsloth Desktop.
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