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Binance Wallet's new TGE B2 Network is now open for investment

3 hours ago

On April 30th, based on the data from the official website, Binance Wallet's new TGE B² Network has begun to accept contributions. The end time is set at 18:00 (UTC+8). The participation threshold for this TGE is that Alpha points need to reach 82 points.
Relevant content

The whale that spent 1001 BNB to heavily invest in AIOT has now realized a profit of $755,000, with a cost of $0.07476 per token.

April 30th: According to the monitoring of ai_9684xtpa, Binance announced the launch of AIOT contracts, which led to a brief surge of nearly 120% in the coin price. Previously on April 25th, a smart money investor who placed a heavy position in AIOT with 1001 BNB now has a paper profit of $755,000. The cost per token was $0.07476 and the current price is $0.2424, resulting in a return on investment of 178%. Earlier reports showed that on April 25th, this whale withdrew 1001 BNB from Binance. Then, after opening positions, it spent 698 BNB (worth $424,000) and continuously bought 5.68 million AIOT tokens at an average price of $0.07476, becoming the top holder directly and holding 14.2% of the circulating supply.

1 seconds ago

CZ: The success of Bitcoin will ultimately drive other coins, and we are still in the early stages

On April 30th, CZ stated on the TOKEN2049 stage in Dubai today, "Up to now, the focus of this cycle has been on ETFs. And nearly all of it is Bitcoin. Ethereum has not achieved as much success yet. However, Bitcoin's success will ultimately drive other currencies. But this requires time. I believe we are still in the early stages."

1 seconds ago

DeepSeek has released the Prover-V2 model, which has 671 billion parameters.

On April 30th, DeepSeek released a new model named DeepSeek-Prover-V2-671B on the AI open-source community Hugging Face today. It is reported that DeepSeek-Prover-V2-671B employs a more efficient safetensors file format and supports multiple calculation precisions, which makes it easier to train and deploy the model more quickly and with more resource efficiency. With 671 billion parameters, it is either an upgrade to last year's Prover-V1.5 mathematical model. In terms of the model architecture, the model uses the DeepSeek-V3 architecture, adopts a Mixture of Experts (MoE) mode, has 61 Transformer layers, and a 7168-dimensional hidden layer. It also supports ultra-long contexts, with a maximum position embedding of 163,800, enabling it to handle complex mathematical proofs. Additionally, it uses FP8 quantization to reduce the model size through quantization techniques and improve inference efficiency. (Jinshi)

1 seconds ago

Bitget Onchain Trading Now Supports B2 Network (B2)

On April 30th, Bitget Onchain Trading launched the B2 Network (B2). Users are now able to commence trading on the onchain trading section. Bitget Onchain Trading endeavors to seamlessly connect CEX and DEX, offering users a more convenient, efficient, and secure onchain trading experience.

1 seconds ago

A certain whale has sold 2,629,000 AIXBT tokens, resulting in a $660,000 loss.

On April 30th, as monitored by OnchainLens, a whale address completely sold 2.629 million AIXBT, which led to a loss of $660,000. This address had previously spent 329.45 ETH (equivalent to 1.06 million USD) to purchase AIXBT.

1 seconds ago

CZ: Cryptocurrency Use Cases Have Yet to Expand Beyond Transactions, the Real Opportunity Lies Ahead

On April 30th, CZ stated on the TOKEN2049 stage in Dubai today that the use case of cryptocurrency has not yet extended beyond transactions, indicating that the real opportunity still lies ahead.

1 seconds ago