7*24

Hot topic

Market

Activities

On April 1, data from Defillama showed that the prediction market Polymarket ranked seventh among crypto protocols in daily revenue, reaching $550,000. BlockBeats previously reported that starting March 30, Polymarket began charging Taker fees on nearly all transaction categories. The new fee structure employs a variable rate, with peak fees for cryptocurrency-related contracts reaching up to 1.8%, while actual fees fluctuate based on share prices and market dynamics. Sports, finance, politics, culture, weather, and general categories have lower tiered rates, while mention and certain economic forecasts have higher peak rates of around 1.5%.

[Polymarket's New Fee Structure Boosts Daily Revenue to 7th Among Crypto Protocols]On April 1, data from Defillama showed that the prediction market Polymarket ranked seventh among crypto protocols in daily revenue, reaching $550,000. BlockBeats previously reported that starting March 30, Polymarket began charging Taker fees on nearly all transaction categories. The new fee structure employs a variable rate, with peak fees for cryptocurrency-related contracts reaching up to 1.8%, while actual fees fluctuate based on share prices and market dynamics. Sports, finance, politics, culture, weather, and general categories have lower tiered rates, while mention and certain economic forecasts have higher peak rates of around 1.5%.

Polymarket's New Fee Structure Boosts Daily Revenue to 7th Among Crypto Protocols

On April 1, Donut AI announced the launch of its proactive AI trading agent 'D0', which is now available for use on Telegram and the web. The project has previously received investments from institutions such as HSG, Bitkraft, Hack VC, Sky9, and Matrix Partners, and has the support of ecosystems like Solana, Jupiter, and Monad, with a waiting list exceeding 100,000 users. D0 is positioned as a fully autonomous trading terminal operating 24/7, equipped with market monitoring, signal capturing, and risk management capabilities. Users can express their trading intentions through natural language or voice, which D0 interprets to construct orders that are executed on-chain upon confirmation. Additionally, the agent supports personalized style modeling, continuously optimizing execution strategies based on users' risk tolerance, holding habits, and entry preferences. In terms of technical architecture, D0 is powered by D0 CLI, covering real-time data from nine mainstream public chains, supporting HyperLiquid perpetual contracts (229 assets), Polymarket prediction markets, and various DeFi protocols. On the security front, D0 employs a Turnkey non-custodial MPC hardware security module, ensuring complete isolation between the wallet backend and the agent, with the platform not accessing users' private keys.

[Donut AI Officially Launches D0: The First High-Stakes Proactive Agent for Financial Markets]On April 1, Donut AI announced the launch of its proactive AI trading agent 'D0', which is now available for use on Telegram and the web. The project has previously received investments from institutions such as HSG, Bitkraft, Hack VC, Sky9, and Matrix Partners, and has the support of ecosystems like Solana, Jupiter, and Monad, with a waiting list exceeding 100,000 users. D0 is positioned as a fully autonomous trading terminal operating 24/7, equipped with market monitoring, signal capturing, and risk management capabilities. Users can express their trading intentions through natural language or voice, which D0 interprets to construct orders that are executed on-chain upon confirmation. Additionally, the agent supports personalized style modeling, continuously optimizing execution strategies based on users' risk tolerance, holding habits, and entry preferences. In terms of technical architecture, D0 is powered by D0 CLI, covering real-time data from nine mainstream public chains, supporting HyperLiquid perpetual contracts (229 assets), Polymarket prediction markets, and various DeFi protocols. On the security front, D0 employs a Turnkey non-custodial MPC hardware security module, ensuring complete isolation between the wallet backend and the agent, with the platform not accessing users' private keys.

Donut AI Officially Launches D0: The First High-Stakes Proactive Agent for Financial Markets

On April 1, local time, Israeli Prime Minister Netanyahu delivered a video address stating that while Iran and its supported armed forces "still retain a limited ability to threaten Israel, they can no longer threaten Israel's existence." Netanyahu also mentioned that "in the past, Israel faced Iran alone, but now we are 'fighting alongside the United States'"—referring to what he described as an "unprecedented historic cooperation" between himself and U.S. President Trump, as well as between the U.S. military and the Israeli military. Additionally, Netanyahu stated that Israel is forming new alliances with some "important" countries in the region to address what he termed the "Iranian threat." However, he did not specify which countries were involved or provide further details. (CCTV International News)

[Israeli Prime Minister Claims Iran No Longer Poses Existential Threat]On April 1, local time, Israeli Prime Minister Netanyahu delivered a video address stating that while Iran and its supported armed forces "still retain a limited ability to threaten Israel, they can no longer threaten Israel's existence." Netanyahu also mentioned that "in the past, Israel faced Iran alone, but now we are 'fighting alongside the United States'"—referring to what he described as an "unprecedented historic cooperation" between himself and U.S. President Trump, as well as between the U.S. military and the Israeli military. Additionally, Netanyahu stated that Israel is forming new alliances with some "important" countries in the region to address what he termed the "Iranian threat." However, he did not specify which countries were involved or provide further details. (CCTV International News)

Israeli Prime Minister Claims Iran No Longer Poses Existential Threat

According to 1M AI News, the AI lab PrismML, co-founded by Caltech mathematician Babak Hassibi, has emerged from stealth mode and released the open-source 1-bit Bonsai series of large language models. The flagship model, 1-bit Bonsai 8B, features 8.2 billion parameters and occupies only 1.15 GB of memory, which is approximately 14 times more compressed than comparable 16-bit models (around 16 GB). The weights are available for download under the Apache 2.0 license on HuggingFace, along with two smaller models: 4B (0.5 GB) and 1.7B (0.24 GB). Bonsai 8B is a true end-to-end 1-bit model: the embedding layer, attention layer, MLP layer, and output head all represent weights using only +1 or -1, without any high-precision patches. PrismML claims its inference and language understanding capabilities on standard benchmarks are comparable to those of 16-bit full-precision models. The core compression mathematics was developed by the team over several years at Caltech, with the intellectual property owned by Caltech, making PrismML the sole exclusive licensee. The model was trained using Google v4 TPU. Measured speeds include 136 tokens/s on an M4 Pro Mac, 440 tokens/s on an RTX 4090, and approximately 44 tokens/s on an iPhone 17 Pro Max, while standard 16-bit 8B models cannot be loaded onto any iPhone. Energy consumption is reduced by about 4-5 times compared to 16-bit models. PrismML notes that existing hardware is not designed for 1-bit inference, and the speed and energy advantages primarily come from reduced memory usage; if hardware specifically designed for 1-bit operations (requiring only addition and subtraction, without multiplication) emerges in the future, efficiency could improve by an order of magnitude. PrismML has completed $16.25 million in SAFE and seed round financing, with investors including Khosla Ventures, Cerberus Capital, and Caltech. Vinod Khosla, founder of Khosla Ventures, stated that this is 'not a minor iteration, but a significant technological breakthrough, a mathematical breakthrough, not just another small model.'

[Caltech Releases Open Source True 1-Bit Model Bonsai: 8B Parameters at Only 1.15GB, Achieving 44 Tokens/s on iPhone]According to 1M AI News, the AI lab PrismML, co-founded by Caltech mathematician Babak Hassibi, has emerged from stealth mode and released the open-source 1-bit Bonsai series of large language models. The flagship model, 1-bit Bonsai 8B, features 8.2 billion parameters and occupies only 1.15 GB of memory, which is approximately 14 times more compressed than comparable 16-bit models (around 16 GB). The weights are available for download under the Apache 2.0 license on HuggingFace, along with two smaller models: 4B (0.5 GB) and 1.7B (0.24 GB). Bonsai 8B is a true end-to-end 1-bit model: the embedding layer, attention layer, MLP layer, and output head all represent weights using only +1 or -1, without any high-precision patches. PrismML claims its inference and language understanding capabilities on standard benchmarks are comparable to those of 16-bit full-precision models. The core compression mathematics was developed by the team over several years at Caltech, with the intellectual property owned by Caltech, making PrismML the sole exclusive licensee. The model was trained using Google v4 TPU. Measured speeds include 136 tokens/s on an M4 Pro Mac, 440 tokens/s on an RTX 4090, and approximately 44 tokens/s on an iPhone 17 Pro Max, while standard 16-bit 8B models cannot be loaded onto any iPhone. Energy consumption is reduced by about 4-5 times compared to 16-bit models. PrismML notes that existing hardware is not designed for 1-bit inference, and the speed and energy advantages primarily come from reduced memory usage; if hardware specifically designed for 1-bit operations (requiring only addition and subtraction, without multiplication) emerges in the future, efficiency could improve by an order of magnitude. PrismML has completed $16.25 million in SAFE and seed round financing, with investors including Khosla Ventures, Cerberus Capital, and Caltech. Vinod Khosla, founder of Khosla Ventures, stated that this is 'not a minor iteration, but a significant technological breakthrough, a mathematical breakthrough, not just another small model.'

Caltech Releases Open Source True 1-Bit Model Bonsai: 8B Parameters at Only 1.15GB, Achieving 44 Tokens/s on iPhone

According to 1M AI News, Google is developing a screenless fitness band under the Fitbit brand, with plans to launch it this year. Insiders reveal that the device will offer basic features, with additional functionalities available through a paid subscription, similar to the subscription models of screenless fitness band Whoop and smart ring Oura. However, Google will charge separately for the hardware, while Whoop relies entirely on subscriptions. NBA Golden State Warriors star Stephen Curry teased the device on social media on Tuesday, stating it will open a 'new relationship with health.' Google confirmed that Curry has been 'working with the team to create something special,' with more details to be announced 'soon.' The device features a gray fabric band with an orange lining, closely resembling the current screenless Whoop band. It will connect to the redesigned Fitbit app's AI health coach, a feature that launched in public preview last October, covering scenarios such as menstrual health, mental health, nutrition, and hydration tracking. With the addition of the Pixel Watch and traditional Fitbit product line, Google's wearable lineup will further expand. Google's entry comes as the screenless wearable market heats up. Whoop recently completed a $575 million Series G funding round at a valuation of $10.1 billion, with sports stars like Cristiano Ronaldo and LeBron James investing personally, and the company plans to go public within two years; smart ring Oura was also valued at $11 billion last year.

[Google's Screenless Fitbit Band Revealed: Similar to Whoop, Integrates AI Health Coach]According to 1M AI News, Google is developing a screenless fitness band under the Fitbit brand, with plans to launch it this year. Insiders reveal that the device will offer basic features, with additional functionalities available through a paid subscription, similar to the subscription models of screenless fitness band Whoop and smart ring Oura. However, Google will charge separately for the hardware, while Whoop relies entirely on subscriptions. NBA Golden State Warriors star Stephen Curry teased the device on social media on Tuesday, stating it will open a 'new relationship with health.' Google confirmed that Curry has been 'working with the team to create something special,' with more details to be announced 'soon.' The device features a gray fabric band with an orange lining, closely resembling the current screenless Whoop band. It will connect to the redesigned Fitbit app's AI health coach, a feature that launched in public preview last October, covering scenarios such as menstrual health, mental health, nutrition, and hydration tracking. With the addition of the Pixel Watch and traditional Fitbit product line, Google's wearable lineup will further expand. Google's entry comes as the screenless wearable market heats up. Whoop recently completed a $575 million Series G funding round at a valuation of $10.1 billion, with sports stars like Cristiano Ronaldo and LeBron James investing personally, and the company plans to go public within two years; smart ring Oura was also valued at $11 billion last year.

Google's Screenless Fitbit Band Revealed: Similar to Whoop, Integrates AI Health Coach

On April 1, according to monitoring by Farside Investors, the US Bitcoin spot ETF recorded a net inflow of $117.5 million yesterday. The breakdown is as follows: BlackRock IBIT: +$98.4 million, Fidelity FBTC: +$16.2 million, Bitwise BITB: +$1.8 million, ARK ARKB: +$1.1 million. Additionally, the US Ethereum spot ETF saw a net inflow of $31.2 million yesterday, with the following contributions: BlackRock ETHA: +$24.7 million, BlackRock ETHB: +$1.1 million, Fidelity FETH: +$1.6 million, Bitwise ETHW: +$1.2 million, 21 Shares TETH: +$2.6 million.

[US Bitcoin Spot ETF Sees $117.5 Million Net Inflow, Ethereum ETF Gains $31.2 Million]On April 1, according to monitoring by Farside Investors, the US Bitcoin spot ETF recorded a net inflow of $117.5 million yesterday. The breakdown is as follows: BlackRock IBIT: +$98.4 million, Fidelity FBTC: +$16.2 million, Bitwise BITB: +$1.8 million, ARK ARKB: +$1.1 million. Additionally, the US Ethereum spot ETF saw a net inflow of $31.2 million yesterday, with the following contributions: BlackRock ETHA: +$24.7 million, BlackRock ETHB: +$1.1 million, Fidelity FETH: +$1.6 million, Bitwise ETHW: +$1.2 million, 21 Shares TETH: +$2.6 million.

US Bitcoin Spot ETF Sees $117.5 Million Net Inflow, Ethereum ETF Gains $31.2 Million

On April 1, Cointelegraph reported that Arizona's cryptocurrency-related bill has passed the House Rules Committee and is set to quickly enter the full House voting process. Senate Bill 1042 (SB1042) proposes to allow the state's financial funds to allocate up to 10% for investment in cryptocurrency assets, while Senate Bill 1649 (SB1649) aims to establish an official digital asset reserve fund.

[Arizona Cryptocurrency Bill Passes House Rules Committee, Set for Full House Vote]On April 1, Cointelegraph reported that Arizona's cryptocurrency-related bill has passed the House Rules Committee and is set to quickly enter the full House voting process. Senate Bill 1042 (SB1042) proposes to allow the state's financial funds to allocate up to 10% for investment in cryptocurrency assets, while Senate Bill 1649 (SB1649) aims to establish an official digital asset reserve fund.

Arizona Cryptocurrency Bill Passes House Rules Committee, Set for Full House Vote

On April 1, according to on-chain analyst Yu Jin, a SIREN 'whale' on-chain address spent 144,000 USDT half an hour ago to buy back 500,000 SIREN at a price of 0.288 USD. This 500,000 SIREN was sold off earlier in the month for 0.947 USD, converting to 473,000 USDT. After the price drop, they spent 144,000 USDT to repurchase the tokens. The controlling address currently holds 645 million SIREN, valued at 155 million USD, down from a value of 1.44 billion USD a week ago.

[On-chain Address Buys Back 500,000 SIREN for 144,000 USDT]On April 1, according to on-chain analyst Yu Jin, a SIREN 'whale' on-chain address spent 144,000 USDT half an hour ago to buy back 500,000 SIREN at a price of 0.288 USD. This 500,000 SIREN was sold off earlier in the month for 0.947 USD, converting to 473,000 USDT. After the price drop, they spent 144,000 USDT to repurchase the tokens. The controlling address currently holds 645 million SIREN, valued at 155 million USD, down from a value of 1.44 billion USD a week ago.

On-chain Address Buys Back 500,000 SIREN for 144,000 USDT

On April 1, Tom Lee stated in an interview with CNBC: "I believe the market has absorbed 90% to 95% of the selling pressure, and the process of selling may have come to an end. We can start to build a bottom now. We must recognize that in a wartime environment, the stock market often bottoms out early. We have studied every war since 1900, and the stock market tends to hit its bottom within the first 10% of the war's progression. So, if this follows the same pattern, we are currently in the early stages of that process. At this stage, any piece of bad news can trigger risk-off behavior. But you know, this is also why positioning is worth paying attention to, because at some point, when people become overly neutral, even if the situation isn't that bad, the market could see a V-shaped rebound." Tom Lee also added on social media that even if the "bottom" has not yet been reached, he believes the U.S. economy can withstand oil prices of $100, or even $120.

[Tom Lee: Market Has Digested Over 90% of Selling Pressure, Stocks Typically Bottom in Early Stages of War]On April 1, Tom Lee stated in an interview with CNBC: "I believe the market has absorbed 90% to 95% of the selling pressure, and the process of selling may have come to an end. We can start to build a bottom now. We must recognize that in a wartime environment, the stock market often bottoms out early. We have studied every war since 1900, and the stock market tends to hit its bottom within the first 10% of the war's progression. So, if this follows the same pattern, we are currently in the early stages of that process. At this stage, any piece of bad news can trigger risk-off behavior. But you know, this is also why positioning is worth paying attention to, because at some point, when people become overly neutral, even if the situation isn't that bad, the market could see a V-shaped rebound." Tom Lee also added on social media that even if the "bottom" has not yet been reached, he believes the U.S. economy can withstand oil prices of $100, or even $120.

Tom Lee: Market Has Digested Over 90% of Selling Pressure, Stocks Typically Bottom in Early Stages of War

Bitcoin Fear and Greed Index is 22. Extreme Fear.
Current Price: $16460.49.

[Bitcoin Fear and Greed Index is 22]Bitcoin Fear and Greed Index is 22. Extreme Fear.
Current Price: $16460.49.

Bitcoin Fear and Greed Index is 22

Article

BTC fell below 66000  USDT

"PINDex Global Launch Ceremony" Successfully Concludes, Ushering in a New Era of AI-Native Finance

Claude Code's Latest npm Package Accidentally Includes 60MB Source Map, Source Code Leaked Again After a Year

OpenEden Extends Lock-Up Period for All Team and Advisor Tokens by 9 Months

Alibaba Tongyi Releases CoPaw 1.0 with Custom Models, Security Mechanisms, Multi-Agent Collaboration, and Memory Management

Bitcoin Fear and Greed Index is 22

Descargo de responsabilidad：El contenido anterior no representa las posiciones de HTX.，HTX no ofrece ninguna recomendación de trading.。

Artículos relacionados

Todos los comentarios0Lo más recientePopular

Temas populares

Artículos relacionados