Analysts: South Korean exchanges will test evening trading next week, a move that will gauge global demand.

AMC CEO Adam Aron has once again criticized Robinhood’s stock token business in a new post. In response to Robinhood CEO Vlad Tenev and Dan Gallagher publicly defending stock tokens over the past week, Aron labeled the move “offensive”, stating it deviates from the core concept of stock ownership and transforms investments into a gamified, commercialized casino. Aron questioned why Robinhood, which admits it cannot offer or sell stock tokens to “U.S. persons”, still promotes such products extensively on its U.S. official website. He also raised concerns about whether Robinhood’s stock token services, operated via its Jersey-based offshore arm, are running outside the bounds of U.S. securities laws. Additionally, Aron noted that stock token buyers hold fewer rights than actual shareholders, which could confuse investors; he further asked if related tokens would still qualify as truly 1:1 backed if the underlying real stocks are lent to short sellers. Aron described stock tokens as “unregulated, derivative, synthetic or debt-backed securities”, adding that they are merely simulations of real stocks.

According to Coinglass data, the current global LSK contract open interest stands at $185 million, with a 24-hour increase of 739.10%. The contract trading volume is $3.082 billion, up 1054.79% over 24 hours. The 24-hour aggregate long-short ratio is 1.0864. In the past 24 hours, liquidations reached $35.26 million, ranking first across the network, of which short liquidations amounted to $31.22 million. According to HTX market data, LSK briefly touched $2, and is now trading at $1.68, with a 24-hour increase of over 700%.

According to HTX market data, Lisk (LSK) has been rallying continuously, surging 775% in 24 hours and currently trading at $1.71.

According to HTX market data, Lisk (LSK) has surged over 515% in the past 24 hours, currently trading at $1.24.

Tom Lee, chairman of Ethereum treasury firm BitMine, said the crypto market will enter a "very bullish" phase over the next 12 months. He pointed out that on October 10 last year, the crypto market experienced over $19 billion in leveraged position liquidations due to U.S. threats to impose 100% tariffs on China, which cleared a large volume of borrowed capital, and the bottom of the crypto market’s four-year cycle may emerge next month. Lee is also optimistic about the long-term opportunities brought by asset tokenization. He estimated that if $100 trillion in assets migrate on-chain in the future and generate a 1% yield from these assets, this would produce around $1.1 trillion in annual revenue, corresponding to a roughly $20 trillion market opportunity when valued using traditional corporate metrics. However, BitMine currently holds 5.93 million ETH, with related positions posting an unrealized loss of approximately $50 billion. For over a decade, Fundstrat has consistently advised clients to allocate 2% of their investment portfolios to crypto assets; Lee stated that in client accounts that follow this recommendation, crypto assets now make up more than 85% of the total portfolio.

Beating AI News Brief: Nonprofit AI evaluation body ARC Prize has announced the upcoming ARC-AGI-4, its next-generation benchmark focused on testing "autonomous open innovation" — assessing whether AI can independently explore, generate new ideas, and even make inventions and discoveries. Specific test questions, scoring criteria, and release date have not been disclosed yet. ARC Prize noted that humans still hold a clear lead over AI in open innovation, a core capability driving scientific and technological advancement. The announcement also cites Dario Amodei’s recently published article on AI slowdown. The organization emphasized that open-source remains fundamental to AI progress, opposing industry efforts to reduce openness and concentrate cutting-edge AI in the hands of a small number of institutions in the name of coordinated slowdown. ARC-AGI has long been hailed as the world’s most challenging AGI benchmark. When ARC-AGI-3 launched, humans scored 100%, while leading AI models achieved just 0.51%. The latest GPT-6 Astra has made significant gains, but only scored 62.7% under the unified Standard harness; it jumped to 99.9% when paired with OpenAI’s proprietary Provider Adapter. ARC Prize is now set to advance to the next challenge: testing whether AI can independently drive innovation.