AMA with Binance

🔥 Market Brief Wednesday - 06/03 + Bitcoin set a new ATH at $69.1K and quickly dropped to $63K, liquidating more than $1.1B of assets, mainly Long [CT] orders + Bitcoin ETF continues to set records with $10B volume, a sign of profit-taking activity as BTC establishes new ATH? [CT] + Fed Chairman Powell has a hearing before the US House of Representatives from 22:00 tonight [CT] + Grayscale launches a staking fund including 9 cryptocurrencies: APT, TIA, CBETH, ATOM, NEAR, OSMO, DOT, SEI & SOL [CT] + Bitcoin bridge OrdiZK rug pull, Founder hug $1.4M run away [CT] + AI network Sahara raises $6M from Polychain [CT] + Fetch AI (FET) announces $100M fund to invest in facilities, boosting HST [CT] + Airdrop: [CT] - Zora – Mint NFT 2 Blast Anniversary NFT & Rainbow Wallet - Super Sushi Samurai – New Tele & Blast Game - Bowled launches WL exchange point hunting show

✨ Eternal AI is a Bitcoin Layer 2 (L2) specifically designed for deploying and storing AI models as smart contracts. ✨ So what is Eternal AI? What makes this project special? 👉 Let's Trade A Lot explore more about Eternal AI in this video! -------------------------------- Some

How will Pavel Durov's Scam affect the $TON blockchain? The news that Pavel Durov lied to the $TON community surprised many, but it is unclear whether this is actually true or not. Durov is very protective of his reputation and it's unlikely that he would want to do it so easily. Nevertheless, at the moment when $TON received attention - there were strong hopes that the blockchain would start to develop again and attract new users, but it turned out not to be that simple. Such factors negatively affect the profits of DEX and volumes in the blockchain, including STON FI. STON FI is the main exchange on $TON that processes 50% of the transactions from all swaps on the blockchain. When the $TON ecosystem falls, the interest in liquidity pools on STON FI also falls. But many tokens did not show negative growth, including the $STON token. The token $MAJOR fell the most, retreating to prices before the start of the rise. Despite negative factors, there is no strong outflow of liquidity from $TON. On the contrary, during such periods, many whale wallets start supplying tokens to liquidity pools on STON FI, while the rates in the pools have decreased. While the market is experiencing negative growth, you can farm liquidity pools on STON FI: $MEMHASH / $TON 15% $TON / $USDT 10%

Can the tokens of old projects on $TON grow and what does it have to do with STON FI ? Surely many still hold coins of the main projects on $TON - $NOT, $MAJOR, $DOGS since the airdrop. After all, these projects once captured all the news in the crypto space and showed good growth. At their peak values, they occupied the best positions in liquidity pools on STON FI. When coins rise, interest in them grows - and so do the percentages in the liquidity pools. In the current reality, if you look from the outside at all the projects and the $TON ecosystem, you can immediately say - this is an abandoned place. Many do not understand that after high and rapid rises, there follows a long decline. If you start to delve into the essence of the $TON blockchain and see how it still exists, surely you only know that here miraculously exists STON FI ( in your opinion) - the top 1 DEX on $TON. The main asset and catalyst of the entire blockchain community, which previously held leading positions - Telegram and Pavel Durov. It depends on them what will happen to the ecosystem next. Will STON FI continue to exist and delight users with contests and activities or not. Before talking about whether the project, blockchain is a scam - delve into it and see from the inside how it works. $SAHARA - a project whose team is waiting for the right moment to sell. While the market is awaiting a new rise, you can farm liquidity pools on STON FI: $FPIBANK / $TON 24% $TONNEL / $TON 20%

AI Layer1 Research Report: Finding the Fertile Ground for on-chain DeAI In recent years, leading tech companies such as OpenAI, Anthropic, Google, and Meta have continuously driven the rapid development of large language models (LLM). LLMs have demonstrated unprecedented capabilities across various industries, significantly expanding the realm of human imagination and even showing the potential to replace human labor in certain scenarios. However, the core of these technologies is firmly held in the hands of a few centralized tech giants. With substantial capital and control over expensive computing resources, these companies have established insurmountable barriers that make it difficult for the vast majority of developers and innovation teams to compete. At the same time, in the early stages of rapid AI evolution, public opinion often focuses on the breakthroughs and conveniences brought by technology, while the attention to core issues such as privacy protection, transparency, and security is relatively insufficient. In the long run, these issues will profoundly impact.