突发重磅消息 特朗普、马斯克下周展开一场重大采访 但是

币界网Опубликовано 2024-08-09Обновлено 2024-08-09

币界网报道:

文章来源:公众号佩佩梭哈

美国前总统、共和党总统候选人特朗普(Donald Trump)宣布,他将在下周一(8月12日)与亿万富翁马斯克(Elon Musk)进行一次重大采访,但未披露具体细节。马斯克此前强调,他不会向任何总统候选人捐款。

特朗普在其社交媒体平台Truth Social写道:“下周一晚上我将与马斯克进行一次重要采访,详情敬请期待。”

图片

马斯克是狗狗币(DOGE)爱好者,而特朗普近期对比特币的重大转向,也为他赢得了加密货币选民的强劲支持,以及在加密行业间筹得巨款。

狗狗币设计师Doge Designer官方推特账号也公布了相关消息,称特朗普将在下周重返推特平台,并在推特空间(Twitter Space)上接受马斯克的采访。

图片

随着特朗普回归推特,他写道:“特朗普应该考虑在推特上发帖,推特每月有约6亿人访问,98%的美国观众都已达到投票年龄,这是一个至关重要的空间。民主党已经充分利用了这个平台,我相信他不应该错过这个机会。”

图片

特朗普周一参加了视频游戏主播阿丁·罗斯(Adin Ross)长达22分钟的采访,在直播期间,罗斯赠送特朗普一块劳力士手表和一辆特斯拉Cybertruck,车上还贴着一张他在7月13日遭暗杀时的照片。

7月,在宾夕法尼亚州巴特勒的一次集会上,特朗普遭遇了惊人的枪击暗杀未遂事件,马斯克随后公开表态,将全力支持特朗普。

马斯克7月13日在推特上分享了一段右耳中弹后的视频,并写道:“我完全支持特朗普,希望他早日康复。”

马斯克曾表示,在过去的三轮选举中,他都投票支持民主党候选人,包括现任总统拜登。近年来,这位科技大亨表达了他对民主党政策的不满,例如拜登无限期支持工会,以及他在移民和边境问题上的决定。

但他在3月6日写道:“需要特别说明的是,我不会向美国总统的任何一位候选人捐款。”

Politico报道,在上周六的竞选集会上,由于马斯克的支持,特朗普似乎放弃了长期以来对电动汽车的反对立场。

他说道:“我支持电动汽车,我必须支持,因为马斯克非常支持我。”

马斯克否认了有关他计划将部分财富投入特朗普连任竞选的传闻,并重申他不会“向任何一位总统候选人捐款”。

在马斯克接管推特(现更名为X)后,他恢复了特朗普的账号,该账号在2021年1月6日美国国会大厦发生骚乱后被该平台前所有者暂停。

Похожее

Podcast Notes: Hyperliquid Has Become the Top Interest Point for Traditional Hedge Funds

Empire Podcast hosts Jason Yanowitz and Santiago Santos discuss the surging institutional interest in Hyperliquid, a decentralized perpetual exchange, marking the highest level of engagement from traditional hedge fund managers since Paul Tudor Jones endorsed Bitcoin in 2020. The primary driver is the demand for weekend trading of commodities like oil, especially during geopolitical tensions such as the Iran conflict, as Hyperliquid provides the only active price discovery venue when traditional markets are closed. Trade XYZ, a front-end on Hyperliquid, has seen significant growth, with weekend oil price predictions having a median error of only 50 basis points. Santos predicts commodity trading volume on Hyperliquid will surpass Bitcoin within the year and that its market cap could rise from $25 billion to $100 billion. Other key points include Kraken raising $200 million at a reduced valuation of $13.3 billion, and the SEC clarifying that self-custodied DeFi frontends like MetaMask are not subject to broker-dealer rules, resolving a major regulatory uncertainty. The hosts also note the strong correlation between crypto and macro markets, with the S&P 500 posting one of its best 10-day rallies since 1950. They highlight MicroStrategy's continued Bitcoin acquisitions and the potential of real-world asset (RWA) tokenization as a key trend. The discussion concludes with skepticism towards many L2 projects, predicting a wave of protocols truly going to zero as capital concentrates in proven assets like Bitcoin and Hyperliquid.

marsbit5 ч. назад

Podcast Notes: Hyperliquid Has Become the Top Interest Point for Traditional Hedge Funds

marsbit5 ч. назад

a16z: The Next Frontier of AI, The Triple Flywheel of Robotics, Autonomous Science, and Brain-Computer Interfaces

a16z presents a comprehensive investment thesis for the next frontier of AI: Physical AI, centered on a synergistic flywheel of robotics, autonomous science, and novel human-computer interfaces (HCIs) like brain-computers. While the current AI paradigm scales on language and code, the most disruptive future capabilities will emerge from three adjacent fields leveraging five core technical primitives: 1) learned representations of physical dynamics (via models like VLA, WAM, and native embodied models), 2) embodied action architectures (e.g., dual-system designs, diffusion-based motion generation, and RL fine-tuning like RECAP), 3) simulation and synthetic data as scaling infrastructure, 4) expanded sensory channels (touch, neural signals, silent speech, olfaction), and 5) closed-loop agent systems for long-horizon tasks. These primitives converge to power three key domains: * **Robotics:** The literal embodiment of AI, requiring all primitives for real-world physical interaction and manipulation. * **Autonomous Science:** Self-driving labs that conduct hypothesis-experiment-analysis loops, generating structured, causally-grounded data to improve physical AI models. * **Novel HCIs:** Devices (AR glasses, EMG wearables, BCIs) that expand human-AI bandwidth and act as massive data-collection networks for real-world human experience. These domains form a mutually reinforcing flywheel: Robotics enable autonomous labs, which in turn generate valuable data for robotics and materials science. New interfaces provide rich human-physical interaction data to train better robots and scientists. Together, they represent a new scaling axis for AI, moving beyond the digital realm to interact with and learn from physical reality, promising significant emergent capabilities and value.

marsbit5 ч. назад

a16z: The Next Frontier of AI, The Triple Flywheel of Robotics, Autonomous Science, and Brain-Computer Interfaces

marsbit5 ч. назад

Торговля

Спот
Фьючерсы
活动图片