BitBridge is transforming into a Bitcoin Reserve Company and will launch a Bitcoin-backed Loan Program

According to Coinglass data, Bitcoin has firmly broken through $86,000 and is now consolidating in a range. Altcoins and meme coins have also seen rotational trading activity, while the Crypto Fear & Greed Index has climbed above 70, entering the "Extreme Greed" territory for the first time in a year. However, current funding rates on major centralized (CEX) and decentralized exchanges (DEX) show no signs of market overheating. Funding rates for mainstream crypto asset contracts remain neutral to bearish; specific rates are detailed in the attached chart. BlockBeats Note: The funding rate is a mechanism set by cryptocurrency trading platforms to align contract prices with underlying asset prices, typically applied to perpetual contracts. It functions as a fund exchange between long and short traders—platforms do not collect this fee, and it adjusts the cost or return of holding contracts to keep contract prices closely tied to underlying assets. A 0.01% funding rate is the benchmark. When the rate exceeds 0.01%, it signals widespread bullish sentiment; when it falls below 0.005%, it indicates broad bearish sentiment.

According to GMGN data, the stock-meme project MEME on Robinhood Chain has seen its market capitalization exceed $40 million, now retreating to $38 million, with a trading volume of $6.9 million in the same period and a 24-hour gain of 36.7%. MEME leverages stock trading platform Robinhood, pairing its token with tokenized U.S. cinema chain AMC Entertainment (ticker: AMC) as a liquidity pool, providing liquidity via the MEME/AMC trading pair. BlockBeats Note: Stock Meme is an emerging concept that merges traditional meme coins with tokenized U.S. stocks: instead of pairing meme coins with USDT or ETH, they are directly paired with on-chain U.S. stock tokens (such as NVDA, TSLA, AAPL, etc.). This model retains meme coins’ high volatility and community-driven speculative traits while tapping into the popularity and narratives of real stocks. A portion of transaction fees typically flows back to the community treasury to accumulate corresponding U.S. stock tokens, forming a dual-driven model of "sentiment speculation + real asset anchoring". Prices are highly volatile; investors should exercise caution.

Beating AI Insight News Brief: Meta’s personal AI agent Muse announced four upcoming connectors from Shopify, PayPal, Expedia, and Instacart within 24 hours. Once integrated, Muse can directly leverage these services for shopping, payments, hotel bookings, and grocery runs, no longer fully dependent on opening web pages itself. Shopify will integrate Shop Pay one-click checkout across all its stores; PayPal enables Muse to shop and complete transactions at PayPal merchants globally; Expedia allows Muse to select and book hotels; Instacart offers a streamlined experience: users simply say “Tacos for Tuesday,” and Muse will generate a shopping cart based on store inventory, then hand it off to Instacart for checkout and delivery. These partnerships address a critical gap for Muse: shifting the agent from “simulating website operations” to “websites proactively connecting their services to it.” The former approach (browser click simulation) can be blocked by sites at any time—Amazon has already implemented this—while the latter means product, inventory, payment, and fulfillment are all provided by partner platforms, with Muse only tasked with understanding user needs and initiating tasks. More integrations will reduce Muse’s reliance on browser click simulation.

Beating AI Express: Robotics data firm Midcentury has emerged from stealth mode and closed a $15 million seed round. Instead of manufacturing robot hardware, the company sells training data and simulation tools for robots. Midcentury has collected over 2 million hours of first-person human videos, covering more than 50 environments and 20,000 tasks. 90% of the footage shows human hands, annotated with 3D hand and body poses, depth, and other metadata. Simply put, robots learn by watching humans perform actions like grasping objects, opening doors, and organizing items. Unlike large models that can scrape the internet for text, robots lack an existing "action internet"—a gap Midcentury aims to fill. The firm also built a simulation platform called Matrix, letting robots run thousands of tests and training runs in virtual environments before operating on real hardware, cutting costs from repeated real-world trial and error.

Beating AI Express News: OpenAI CEO Sam Altman will address the UN Security Council, advocating for unified global AI safety standards while avoiding restrictive measures that could slow innovation. OpenAI stated it does not support establishing a specific international regulatory body, preferring instead basic safety standards paired with democratic oversight. Anthropic CEO Dario Amodei is also expected to participate via video. Earlier, per FT reports, OpenAI on Monday called on the U.S. government to lead the development of international AI standards, and recommended countries coordinate on assessing AI models’ capabilities and risks. OpenAI CEO Sam Altman will present the relevant proposal to the UN Security Council this week. OpenAI specifically warned of potential new risks from Recursive Self-Improvement (RSI), where an increasing number of AI model training tasks are completed by other AI systems. Without adequate safety measures, AI could rapidly evolve to a level beyond effective human oversight, leading to humans gradually losing practical control over AI development. The proposal comes amid growing concerns over AI safety.

Today, the U.S. Federal Register published a rule filing notice from KalshiEX LLC (Kalshi). The prediction market platform has submitted proposed rule changes to the U.S. Securities and Exchange Commission (SEC), seeking immediate implementation. The changes add Chapter 14 to Kalshi’s rulebook to list Perpetual Securities Futures Products (Perpetual SFPs). These contracts have no fixed expiration date, and their prices are anchored to the spot values of underlying U.S. stocks or ETFs via periodic funding fees between long and short positions. Kalshi categorizes the products as securities futures, and intends to clear them through its subsidiary clearing platform Kalshi Klear. The listing threshold is stringent: underlying assets must have a deliverable supply exceeding 20 million shares, a market capitalization of at least $100 billion, an average daily trading volume of no less than $450 million over the past six months, and contract units are mostly 100 shares.