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kaymyg
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#Facebook 花費 105 億美元購買了 #NVIDIA 個 GPU，綜合計算能力達到 600.000 H100
#Facebook
花費 105 億美元購買了
#NVIDIA
個 GPU，綜合計算能力達到 600.000 H100
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(ArkhamIntelligence) Donald Trump now holds 8 figures in #memecoins . N.B. These holdings have been #airdropped to him by developers of various memecoin projects - he did not buy them himself. #Trump
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(lookonchain) Japanese #crypto exchange #DMMBitcoin was hacked, losing 4,502.89 $BTC, worth $305M! Currently, the hacker has transferred the 4,502.89 $BTC to 10 addresses. Address: bc1qegcazuxnp5wxxxamdqvjv345fpve6656vpjln4 bc1qgcv2j80009apvjekph40wagwutfu6l3gcm2fw0 bc1q2u9m2eqy8glvrjeqr5sceqngpad6dnxrtyxlf3 bc1q2tu4dxyvnaquar96mj99yqjanfzgg3fv4gzytd bc1q7p3atj3v95k4pd7qxnnqlhjwu843ty2hqn9gy0 bc1qr4vnu4f4tl3gwfxt6a5hgt6vuusgsd0j2cnz74 bc1q3ur23g02rq5w0x6y8vek3xradjgs080nzksfje bc1qrtltlc7zjzj3knde2tqjt7tl2p5l2keh4l2uka bc1qx6jpnnfjrfcx9ehhdmj7qqyzpyd8pek00trrq7 bc1q7pdecv2raf3x84unxlv9ghtpjfpwlam6dx27xd
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(forbes) Forbes lists 20 "zombie tokens" with a market value of more than $1 billion, including: XRP, #ADA , #BCH , #LTC , ICP, ETC, XLM, STX, KAS, THETA, FTM, XMR, AR, ALGO, FLOW, EGLD, BSV, MINA, XTZ, EOS. For example, XRP has a market capitalization of $36 billion, and #XRP network transaction fees last year were only $583k.
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The Dubious Launch of #BRETT Token Raises Eyebrows
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(lookonchain) 2 wallets whitelisted by #Brett Deployer made 890.6 $ETH ($3.14M) with only 0.034 $ETH($102), a gain of 30,830x! What an amazing gain! Wallets"0x1f72" and "0x8996" spent 0.034 $ETH($102) to buy 172.56M $BRETT. Then sold 122.74M #BRETT for 890.65 $ETH($3.14M) on-chain via multiple wallets. Wallets "0x1f72" and "0x8996" are both whitelisted by #Brett Deployer, which you can check in the transaction hash. https://basescan.org/tx/0x9c18c50988784c501e7ff16e913f2ba5c6b6e504ed6d7d63914326368a278b50… According to @shady_oak1, 139 addresses are whitelisted. https://twitter.com/shady_oak1/status/1783623226557640708 Wallets "0x1f72" and "0x8996" are the two most profitable addresses we track. https://basescan.org/token/0x532f27101965dd16442e59d40670faf5ebb142e4?a=0x1f72007138690934cde217c95c550a8bcb13cccf https://basescan.org/token/0x532f27101965dd16442e59d40670faf5ebb142e4?a=0x899624126624a645d93a3724553893cafce06a66
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