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lt

LT is the abbreviation for the cryptocurrency Litecoin. It is a peer-to-peer digital currency. Litecoin is based on the Bitcoin protocol but has been optimized in aspects such as block generation time and hashing algorithms. Its main features are fast transaction confirmation speed and high network security, making it suitable for everyday small payments. Litecoin is an open-source project aimed at providing users with a faster and lower-cost transaction experience.
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first_img Troy Cross: Bitcoin balances unlimited printing; the academic community will ultimately accept Bitcoin

In an interview video published by Bitcoin Magazine, philosopher Troy Cross provided answers on whether Bitcoin can truly achieve "the separation of money and state." He stated that he does not expect governments to abandon printing money anytime soon, but believes that Bitcoin serves as a check against endless monetary expansion, as people will choose to seek refuge in Bitcoin.Cross believes that academia will be the last group to understand Bitcoin, following innovators, financial practitioners, and journalists. He mentioned that the "Getting Bitcoin" initiative has made it to The Wall Street Journal, with related Bitcoin articles receiving 4 to 6 times the normal click rates. He also cited a survey from the Nakamoto Project, indicating that Bitcoin is moving towards normalization, while also increasingly showing signs of partisanship and polarization.In the interview, Cross also discussed the branding issues Bitcoin faces, as it is often confused with the broader category of crypto assets, and why price trends, education, and "Number Go Up" have become a universal language. He mentioned the need to bridge the gap and reach the 82% of people who do not yet hold Bitcoin, and explained how Bitcoin can keep governments honest. The video chapters also touched on the setbacks of the Clarity Act and why Bitcoin continues to move forward.

first_img BlackRock CEO Larry Fink: Halting data center construction could lead to a recession in the U.S., warns $40 trillion debt

Larry Fink, CEO of the world's largest asset management company BlackRock, stated in an interview with CNBC on Wednesday that if the United States implements "some kind of pause" on data center construction, it will plunge the U.S. economy into recession. He said, "A large part of our economy is built on such capital expenditure expansion." Data centers are buildings that house a large number of computers and provide computing power for artificial intelligence. Fink's remarks were in response to calls to halt data center construction due to concerns about environmental impacts.Fink dismissed concerns about data centers, stating that most fears are based on "misinformation," and emphasized that "data centers are not the problem." He also pointed out their demand for labor in construction, energy infrastructure, and AI computing hardware. A survey by the Pew Research Center shows that at least 49% of Americans believe data centers negatively impact the environment and the quality of life for surrounding residents. Moody's estimates that U.S. capital expenditure on data centers will reach $700 billion this year, accumulating between $2.4 trillion and $2.48 trillion by 2030, with the global total reaching $7 trillion by the end of this decade.Fink also warned about the government debt issue, stating that the U.S. fiscal deficit is having a serious impact, with national debt rising from $8 trillion in 2000 to $40 trillion in 2026, "an increase of $32 trillion over 26 years," causing a huge shock to credit demand and leading to larger government bond auction sizes. He believes that private capital needs to be unleashed to drive the U.S. economy to achieve 3% growth. BlackRock saw a net inflow of $205 billion in the third quarter, with revenue growth of 19%, adjusted earnings per share increasing by 38% year-on-year, and operating profit margin rising to 47.8%.

Bitwise: Actively promoting over 20 wealth management platforms to approve cryptocurrency ETP

Bitwise analyst Ishmael Asad posted on the X platform that Bitwise is currently collaborating with over 20 wealth management platforms, with a total asset management scale of approximately $24 trillion. Bitwise is also promoting the approval of cryptocurrency exchange-traded products (ETPs) by relevant platforms so that their investment advisors can provide clients with channels for cryptocurrency allocation.Currently, among the institutions collaborating with Bitwise, 17 have approved cryptocurrency concept stock ETPs, 11 have approved Bitcoin ETPs, 6 have approved Ethereum ETPs, 6 have approved ETPs for the top ten cryptocurrency portfolios, and 2 have approved Solana ETPs, with 1 each approving Bitcoin and gold combination and XRP ETPs. Asad stated that since the first batch of spot cryptocurrency ETFs was launched in January 2024, the cumulative net inflow into cryptocurrency ETPs has been approximately $77 billion. Currently, there are over 50 spot cryptocurrency ETPs in the U.S. market, and the number is still increasing, covering BTC, ETH, SOL, AVAX, LINK, XRP, ZEC, HYPE, cryptocurrency portfolios, and more. In addition, the interest of wealth management institutions in cryptocurrency assets is also continuously growing, and the related demand is extending from ETPs to cryptocurrency trading and custody, payment, and tokenization fields.

first_img a16z General Partner David Haber: Long-cycle intelligent agents can charge based on results

David Haber, a general partner at a16z, stated that long-cycle intelligent agents can now progress towards goals across dozens of steps and various interaction methods over weeks to months. He noted that AI previously handled short tasks with clear boundaries, where customer service was implemented earlier due to verifiable results and edge cases manageable by humans; now, intelligent agents can guide insurance clients from the initial call to payout, mortgage clients from pre-approval to closing, and business leads from demonstration to signing, gaining returns based on revenue growth rather than just cost savings.He used the example of plaintiff lawyers preparing cases, stating that the process resembles a relay race, where value can easily be lost at handoff points. Potential clients often contact multiple law firms simultaneously, and slow responses or evaluations can lead to loss; after signing, evidence collection is limited by manpower, and firms may not follow up with witnesses who did not answer the fifth call, making it difficult to review low-value cases item by item. Missing bills or unexplained treatment gaps can also lower settlement amounts. Long-cycle intelligent agents can assess in real-time around the clock, utilizing sub-agents to advance evidence collection and client updates via phone, email, or text, while maintaining complete records from call logs to medical records.Haber proposed three commercialization paths: selling platforms to existing teams, taking over outsourced services, or vertically integrating as a full-stack service provider, such as purchasing debt portfolios and completing collections. He mentioned that most states in the U.S. prohibit non-lawyers from sharing attorney fees, so the plaintiff legal scenario needs to align pricing with settlement amounts but cannot directly share profits.

first_img Hinton and over 400 scientists are calling for high-risk AI models to be defaulted to offline isolation

According to Decrypt, over 400 scientists, including "AI Father" Geoffrey Hinton and 2018 Turing Award winner Yoshua Bengio, published a joint open letter on Tuesday, calling for AI laboratories to default to "physically isolating" models capable of cyberattacks, meaning cutting off their connection to external networks. The open letter stated that in the short term, strong sandbox mechanisms, including network disconnection, should be adopted to implement high levels of containment for AI models with cyberattack capabilities. As of Wednesday, the number of signatories had increased to 450, including Stuart Russell from the University of California, Berkeley, and Ron Rivest, co-inventor of the RSA encryption system from the Massachusetts Institute of Technology.Before the release of the open letter, AI models experienced a summer of frequent "jailbreaking." In July, OpenAI admitted that GPT-5.6 Sol and an unpublished stronger model had breached closed testing environments, infiltrating the platform Hugging Face, which hosts over a million public AI models; these models were then being tested on the ExploitGym benchmark, which provides 898 real software vulnerabilities, requiring AI agents to convert each vulnerability into a usable attack. Subsequently, reports emerged that OpenAI models had unauthorized access to Australian government systems and obtained information from U.S. federal agencies.
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