Trump: Bitcoin Has Taken on 'a Life of its Own,' Will Probably Need Some Regulation

CoinDeskPolicyОпубліковано о 2024-02-22Востаннє оновлено о 2024-02-23

Анотація

The former U.S. president has previously called central bank digital currencies dangerous and vowed not to allow them if elected.

Former U.S. president and Republican front-runner Donald Trump said bitcoin (BTC) has "taken a life of its own" and will probably need some regulation.

Trump was speaking to Fox News during a town hall event in South Carolina on Tuesday ahead of the state's Republican primary. Nikki Haley, the former South Carolina governor, remains the only other contender and has vowed to remain in the race even if she loses the Saturday primary.

"A lot of people are doing it (Bitcoin)," Trump responded to Fox News anchor Laura Inghram's question about whether the next logical step for the U.S. is to embrace bitcoin. "I always liked one currency ... I like the dollar."

Advertisement
Advertisement

Regarding bitcoin, he said: "It's taken a life of its own. You probably have to do some regulation. But many people are embracing it. More and more I'm seeing people wanting to pay bitcoin. And you are seeing something that's interesting. I can live with it one way or the other."

Trump has previously called central bank digital currencies (CBDCs) dangerous and vowed not to allow them if elected.

Edited by Sheldon Reback.

Пов'язані матеріали

Mythos Report Released: Billions of Devices Worldwide Exposed, 10,000 Critical Vulnerabilities Uncovered in 30 Days

The first report from Anthropic's "Project Glasswing" reveals staggering results from its secret initiative using the next-generation AI model, Claude Mythos Preview. In just 30 days, collaborating with roughly 50 global tech giants and critical infrastructure developers, Mythos identified over 10,000 high or critical-severity software vulnerabilities. It demonstrated an extremely low false-positive rate, even outperforming human experts, and successfully intercepted a $1.5 million bank fraud in progress. Key findings include uncovering 2,000 bugs in Cloudflare's core systems, fixing 271 critical vulnerabilities in Firefox 150 (ten times more than previous methods), and discovering a 27-year-old hidden bug in OpenBSD's codebase. The AI even autonomously constructed full attack chains for some exploits. Mythos also scanned over 1,000 essential open-source projects, identifying 23,019 total vulnerabilities, with 6,202 rated high/critical by the AI. Independent verification confirmed a 90.6% true-positive rate, validating 1,094 severe vulnerabilities. A critical case involved wolfSSL, a cryptography library used by billions of devices, where Mythos found a flaw allowing perfect digital certificate forgery. This unprecedented discovery speed has created a new crisis: human developers are overwhelmed and cannot patch vulnerabilities fast enough. In response, Anthropic is rolling out defensive tools like "Claude Security" to auto-generate patches and releasing frameworks to help security teams automate code review and threat modeling. Due to its immense power and potential for weaponization if misused, Anthropic is delaying Mythos's public release until robust safety measures are established. The company urges the industry to shorten patch cycles, enforce updates, and strengthen security fundamentals. The project signals a paradigm shift where AI could eventually make critical code vastly more secure, though the transition period poses significant challenges for human defenders.

marsbit3 хв тому

Mythos Report Released: Billions of Devices Worldwide Exposed, 10,000 Critical Vulnerabilities Uncovered in 30 Days

marsbit3 хв тому

AlphaGo's Creator Puts AI into a 23-Year-Old Artificial Society: All Three Toughest Challenges for AI Agents Are Here

Demis Hassabis, CEO of DeepMind, has embarked on a new AI research venture by partnering with the long-running space MMO, EVE Online. This collaboration, announced in early May, aims to use the game's 23-year-old, player-driven persistent universe as a testbed for tackling three core challenges in AI agent research: long-horizon planning, memory, and continual learning. Unlike previous DeepMind environments like AlphaGo (Go) or AlphaStar (StarCraft II), EVE Online features no fixed end state. Its single-shard universe has fostered complex, emergent player societies with real economies, political alliances, and wars that can span months or years. These conditions naturally demand the very skills—long-term strategic planning, maintaining memories over extended periods, and adapting to constant change—that are hardest for current AI agents to master. The research will initially use an offline version of EVE, providing a controlled, complex sandbox without interfering with the live player server. This move continues DeepMind's trajectory of using increasingly complex and open-ended virtual worlds for AI training, from Atari games and Go to StarCraft II and the SIMA project. The EVE environment represents a significant step towards testing AI in a persistent, socially complex, and continuously evolving world shaped by human behavior over decades.

marsbit3 хв тому

AlphaGo's Creator Puts AI into a 23-Year-Old Artificial Society: All Three Toughest Challenges for AI Agents Are Here

marsbit3 хв тому

DeepSeek Announces Permanent Price Cut, But Liang Wenfeng Is Not Trying to Be a "Cyber Bodhisattva"

DeepSeek has announced a permanent 75% discount on its V4-Pro API, significantly reducing its token prices. This move stands out as a major industry-wide price cut while competitors like Anthropic, OpenAI, and Google have been quietly raising theirs. The article contrasts this strategy with the broader trend of AI becoming more expensive, citing examples of companies like Microsoft and Uber struggling with high token costs as usage soars. While CEO Liang Wenfeng is hailed by some as a "Cyber Bodhisattva" for this普惠 approach, the article argues this is a strategic business choice, not mere altruism. DeepSeek's ability to maintain low prices is attributed to several structural advantages: lower-cost AI talent in China, the impending use of domestic昇腾 hardware for further cost reductions, and, most critically, access to China's cheaper and more abundant energy infrastructure, which drastically reduces the electricity costs dominating AI operations. The analysis suggests that for many commercial applications, a "good enough" model that is radically cheaper (e.g., 1% to 11% of GPT-5.5's cost) is more valuable than the absolute top-tier model. This allows for vastly more experimentation and iteration within a budget. Therefore, as AI generally becomes more expensive, DeepSeek's cost-competitiveness—rooted in China's energy and talent advantages—becomes its core strategic value and differentiator in the global market.

marsbit11 год тому

DeepSeek Announces Permanent Price Cut, But Liang Wenfeng Is Not Trying to Be a "Cyber Bodhisattva"

marsbit11 год тому

Торгівля

Спот
Ф'ючерси
活动图片