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On April 30, PeckShield reported that Wasabi Protocol appears to have experienced a leak of its admin private key, resulting in approximately $5.5 million in assets being stolen across multiple chains, including ETH, Base, Blast, and Bera. On-chain data indicates that the attacker added a malicious address as a contract administrator through a single transaction. Wasabi Protocol previously announced on social media that it is aware of the issue and is currently investigating, advising users not to interact with its contracts for the time being, and that further updates will be provided.

[PeckShield: Wasabi Protocol Suspected of Admin Private Key Breach, Multi-Chain Loss Estimated at $5.5 Million]On April 30, PeckShield reported that Wasabi Protocol appears to have experienced a leak of its admin private key, resulting in approximately $5.5 million in assets being stolen across multiple chains, including ETH, Base, Blast, and Bera. On-chain data indicates that the attacker added a malicious address as a contract administrator through a single transaction. Wasabi Protocol previously announced on social media that it is aware of the issue and is currently investigating, advising users not to interact with its contracts for the time being, and that further updates will be provided.

PeckShield: Wasabi Protocol Suspected of Admin Private Key Breach, Multi-Chain Loss Estimated at $5.5 Million

On April 30, Reuters reported that Bitcoin mining company MARA Holdings (MARA.O) will acquire natural gas plant operator Long Ridge Energy & Power from FTAI Infrastructure (FIP.O) for $1.5 billion (including debt). This acquisition marks a significant step for the Bitcoin miner in its efforts to transform into a digital infrastructure and energy company. The deal is expected to be completed later in 2026, pending approval from regulatory bodies including the Federal Energy Regulatory Commission (FERC). The company stated that the $1.5 billion transaction includes assuming approximately $785 million in existing debt, while Long Ridge's power assets are projected to generate about $144 million in adjusted earnings annually.

[MARA to Acquire Long Ridge Energy for $1.5 Billion]On April 30, Reuters reported that Bitcoin mining company MARA Holdings (MARA.O) will acquire natural gas plant operator Long Ridge Energy & Power from FTAI Infrastructure (FIP.O) for $1.5 billion (including debt). This acquisition marks a significant step for the Bitcoin miner in its efforts to transform into a digital infrastructure and energy company. The deal is expected to be completed later in 2026, pending approval from regulatory bodies including the Federal Energy Regulatory Commission (FERC). The company stated that the $1.5 billion transaction includes assuming approximately $785 million in existing debt, while Long Ridge's power assets are projected to generate about $144 million in adjusted earnings annually.

MARA to Acquire Long Ridge Energy for $1.5 Billion

On April 30, Wasabi's official statement indicated that a problem has been identified and is under active investigation. As a precaution, users are advised not to interact with its contracts until further notice. The team stated that an update will be released as soon as more information is available. Previously reported, Wasabi suffered a hack resulting in the theft of approximately $2.9 million in funds.

[Wasabi: Advises Users to Pause Interaction with Protocol]On April 30, Wasabi's official statement indicated that a problem has been identified and is under active investigation. As a precaution, users are advised not to interact with its contracts until further notice. The team stated that an update will be released as soon as more information is available. Previously reported, Wasabi suffered a hack resulting in the theft of approximately $2.9 million in funds.

Wasabi: Advises Users to Pause Interaction with Protocol

According to monitoring by Dongcha Beating, NVIDIA has released the weights for the Cosmos-Reason2-32B model. Cosmos Reason 2 is a physical AI inference visual language model (VLM) launched by NVIDIA at the end of last year, designed to teach robots and autonomous driving systems to understand spatial, temporal, and fundamental physical laws while processing images, videos, and text. Previously, only the weights for the 2 billion and 8 billion parameter versions were made available, with the flagship 32 billion parameter version being publicly released for the first time now. The base model is based on Qwen3-VL-32B-Instruct, and it is available for commercial use under the NVIDIA Open Model License. Given a driving video, it can infer and determine whether a right turn is safe while watching; given a warehouse photo, it can identify the 2D/3D coordinates and bounding boxes of each item. Its main applications are in three areas: analyzing video streams of urban and industrial scenes, bulk labeling of sensor data, and serving as the planning brain for humanoid robots and autonomous vehicles. Compared to the previous generation, it adds target detection and precise timestamp localization, with the context window expanded to 256K tokens.

[NVIDIA Open Sources 32B Flagship Weights for Cosmos-Reason2 Physical AI Inference Model]According to monitoring by Dongcha Beating, NVIDIA has released the weights for the Cosmos-Reason2-32B model. Cosmos Reason 2 is a physical AI inference visual language model (VLM) launched by NVIDIA at the end of last year, designed to teach robots and autonomous driving systems to understand spatial, temporal, and fundamental physical laws while processing images, videos, and text. Previously, only the weights for the 2 billion and 8 billion parameter versions were made available, with the flagship 32 billion parameter version being publicly released for the first time now. The base model is based on Qwen3-VL-32B-Instruct, and it is available for commercial use under the NVIDIA Open Model License. Given a driving video, it can infer and determine whether a right turn is safe while watching; given a warehouse photo, it can identify the 2D/3D coordinates and bounding boxes of each item. Its main applications are in three areas: analyzing video streams of urban and industrial scenes, bulk labeling of sensor data, and serving as the planning brain for humanoid robots and autonomous vehicles. Compared to the previous generation, it adds target detection and precise timestamp localization, with the context window expanded to 256K tokens.

NVIDIA Open Sources 32B Flagship Weights for Cosmos-Reason2 Physical AI Inference Model

On April 30, Morgan Stanley economists revised their expectations for the Federal Reserve's interest rate cuts this year, based on the decisions, statements, and press conference from the Federal Open Market Committee on Wednesday. They now anticipate two rate cuts of 25 basis points each in 2027. The Morgan Stanley team, led by Michael Gapen, stated in their report: 'The Federal Reserve signaled a near shift towards a symmetric policy rate guidance this month and emphasized the need for patience. We currently expect one rate cut in January 2027 and another in March 2027, totaling two cuts.'

[Morgan Stanley: Expects Two Rate Cuts of 25 Basis Points Each in 2027]On April 30, Morgan Stanley economists revised their expectations for the Federal Reserve's interest rate cuts this year, based on the decisions, statements, and press conference from the Federal Open Market Committee on Wednesday. They now anticipate two rate cuts of 25 basis points each in 2027. The Morgan Stanley team, led by Michael Gapen, stated in their report: 'The Federal Reserve signaled a near shift towards a symmetric policy rate guidance this month and emphasized the need for patience. We currently expect one rate cut in January 2027 and another in March 2027, totaling two cuts.'

Morgan Stanley: Expects Two Rate Cuts of 25 Basis Points Each in 2027

On April 30, the market continues to bet on a rate hike by the Bank of England, expecting an increase of 73 basis points by 2026. (Jin Shi)

[Market Maintains Bets on Bank of England Rate Hike, Expected to Increase by 73 Basis Points by 2026]On April 30, the market continues to bet on a rate hike by the Bank of England, expecting an increase of 73 basis points by 2026. (Jin Shi)

Market Maintains Bets on Bank of England Rate Hike, Expected to Increase by 73 Basis Points by 2026

According to monitoring by Dongcha Beating, Stripe and Cloudflare have jointly launched Stripe Projects, an open protocol that allows AI programming agents to autonomously complete the entire process from zero to launch. Users only need to log into their Stripe account, and the agent can automatically create a Cloudflare account, purchase a domain, subscribe to paid services, obtain an API token, and deploy code without manual registration, credit card entry, or key copying. The protocol is divided into three layers. Discovery: The agent queries the available service directory through a REST API and decides which services to use. Authorization: Stripe acts as the identity provider, and after Cloudflare receives the identification from Stripe, it automatically creates an account or uses OAuth to authorize an existing account, with credentials encrypted and returned to the agent. Payment: Stripe tokenizes the user's payment information and sends it to the service provider, ensuring that the credit card number does not pass through the agent. Stripe sets a default spending limit of $100 per month for each service provider to prevent overspending by the agent. The protocol is based on existing standards such as OAuth, OIDC, and payment tokenization. The first batch of service providers, in addition to Cloudflare, includes Vercel, Supabase, Clerk, PostHog, Sentry, PlanetScale, Inngest, and others. The protocol is open: any platform with logged-in users can act as an Orchestrator to connect to Cloudflare or other service providers in the same way. Cloudflare is also providing $100,000 in credits to newly registered startups through Stripe Atlas.

[Stripe and Cloudflare Enable Autonomous Account Creation and Payment Deployment for Programming Agents]According to monitoring by Dongcha Beating, Stripe and Cloudflare have jointly launched Stripe Projects, an open protocol that allows AI programming agents to autonomously complete the entire process from zero to launch. Users only need to log into their Stripe account, and the agent can automatically create a Cloudflare account, purchase a domain, subscribe to paid services, obtain an API token, and deploy code without manual registration, credit card entry, or key copying. The protocol is divided into three layers. Discovery: The agent queries the available service directory through a REST API and decides which services to use. Authorization: Stripe acts as the identity provider, and after Cloudflare receives the identification from Stripe, it automatically creates an account or uses OAuth to authorize an existing account, with credentials encrypted and returned to the agent. Payment: Stripe tokenizes the user's payment information and sends it to the service provider, ensuring that the credit card number does not pass through the agent. Stripe sets a default spending limit of $100 per month for each service provider to prevent overspending by the agent. The protocol is based on existing standards such as OAuth, OIDC, and payment tokenization. The first batch of service providers, in addition to Cloudflare, includes Vercel, Supabase, Clerk, PostHog, Sentry, PlanetScale, Inngest, and others. The protocol is open: any platform with logged-in users can act as an Orchestrator to connect to Cloudflare or other service providers in the same way. Cloudflare is also providing $100,000 in credits to newly registered startups through Stripe Atlas.

Stripe and Cloudflare Enable Autonomous Account Creation and Payment Deployment for Programming Agents

On April 30, MegaETH announced that the MEGA token will be distributed to users before 19:00 (UTC+8). According to HTX market information, MEGA (MegaETH) has launched on-chain and is currently priced at approximately $0.2.

[MegaETH: MEGA Token Distribution to Users Before 19:00]On April 30, MegaETH announced that the MEGA token will be distributed to users before 19:00 (UTC+8). According to HTX market information, MEGA (MegaETH) has launched on-chain and is currently priced at approximately $0.2.

MegaETH: MEGA Token Distribution to Users Before 19:00

On April 30, the Bank of England decided to maintain the benchmark interest rate at 3.75% for the third consecutive meeting, in line with market expectations.

[Bank of England Keeps Benchmark Interest Rate Steady at 3.75%]On April 30, the Bank of England decided to maintain the benchmark interest rate at 3.75% for the third consecutive meeting, in line with market expectations.

Bank of England Keeps Benchmark Interest Rate Steady at 3.75%

火币HTX报道，4月29日，WTI原油日内涨4%，现报105.46美元/桶。布伦特原油涨近3%。

【WTI原油日内涨4%，布伦特原油涨近3%】火币HTX报道，4月29日，WTI原油日内涨4%，现报105.46美元/桶。布伦特原油涨近3%。

WTI原油日内涨4%，布伦特原油涨近3%

Disclaimer：Il contenuto di cui sopra non rappresenta le posizioni di HTX.，HTX non fornisce alcuna raccomandazione di trading.。

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