「推特门」事件,下一个水门丑闻?

FastDailyPublished on 2022-12-04Last updated on 2022-12-04

Abstract

马斯克曝光自家推特通过后台操控民众言论和观点了,甚至已经被质疑曾违反了宪法和第一修正案。

不仅精彩,还十分劲爆。

马斯克曝光自家推特通过后台操控民众言论和观点了,甚至已经被质疑曾违反了宪法和第一修正案。

推特首席执行官埃隆·马斯克昨天发布了一系列推文,披露了该公司如何处理2020年关于拜登的一篇新闻文章的内部文件,揭露了这帮人当时是如何阻止人们发推文和直接发送相关内容的信息。

根据亨特·拜登 (Hunter Biden) 笔记本电脑文章审查的详细说明,从而爆料出了一个巨大政治腐败故事。

简直是翻版水门事件,堪称推特门丑闻。

水门事件(Watergate scandal),或称水门丑闻,是美国历史上最不光彩的政治丑闻事件之一,其对美国本国历史以及整个国际新闻界都有着长远的影响。

1972年民主党全国委员会位于华盛顿特区的水门综合大厦被人侵入,然而时任总统理查德·尼克松及内阁试图掩盖事件真相并阻挠国会调查,导致宪政危机。此次事件使尼克松于1974年宣布辞去总统职务。从而成为美国历史上首位因丑闻而辞职的总统。有《惊天大阴谋》等影视作品与此相关。“水门事件”一词,通过转喻,已经包含了尼克松政府成员进行的一系列秘密的、经常从事非法的活动

在一条冗长的推文中,作家Matt Taibbi说他从Twitter的消息来源处收到了“数千份内部文件”而马斯克本人也在推特上转发写道“我们来了!”

尘埃科技为大家整理了这份惊人的爆料内容,话不多说,让我们看看埃隆马斯克一心想打造的“世界上最准确的信息来源”的推特,到底在过去有什么不为人知的秘密吧。

你将要阅读的内容基于 Twitter 消息来源获得的数千份内部文件。

“推特档案”讲述了一个来自世界上最大、最具影响力的社交媒体平台之一内部的一个不可思议的故事,讲述了一个由设计师控制的人造机制。

Twitter作为一个实现即时大众沟通的杰出工具,第一次使真正的实时全球对话成为可能。

在早期的概念中,推特没有辜负它的使命宣言,让人们“有能力无障碍地即时创造和分享想法和信息”。

然而,随着时间的推移,该公司慢慢被迫增加了这些障碍。一些用于控制言论的首批工具旨在打击垃圾邮件和金融欺诈者之类的东西。慢慢地,随着时间的推移,Twitter 员工和管理人员开始发现这些工具的用途越来越多。局外人也开始请求公司操纵言论:开始是一点点,然后更频繁,然后是不断的操纵。

到了2020年,相关人员要求删除推文的请求已成为惯例。

一位高管会写信给另一位:“拜登团队有更多内容需要审查。”

回复:“已处理。”

名人和不知名人士都可以在政党的要求下被删除或审查。

两党都有机会使用这些工具。

例如,在2020年,特朗普白宫和拜登的竞选团队都收到了请求并得到了尊重。不过这个系统是不平衡的,它是基于人脉关系的,由于推特过去和现在绝大多数都是由一个政治取向的人组成的,因此左派(民主党)比右派有更多的渠道,更多的方式来投诉。

在下文中,你将要阅读的文档中可以看到内容审核决策的最终倾向。同时,从这些行为中,也是对多位现任和前任高级管理人员的评估。

推特档案,第一部分:推特是如何以及为何屏蔽亨特·拜登笔记本电脑的故事。

2020年10月14日,《纽约邮报》发表了《拜登的秘密邮件》,这是一篇基于亨特·拜登被遗弃的笔记本电脑内容的揭露。

推特采取了非常措施来压制这个故事,删除链接并发布警告称它可能“不安全”。他们甚至通过直接消息阻止了它的传输,这是一种迄今为止为极端情况保留的工具,例如儿童色情视频等等。

白宫女发言人凯莉·麦肯尼 (Kaleigh McEnany) 因在推特上发布有关此事的消息而被封号,这引发了特朗普竞选团队工作人员迈克·哈恩 (Mike Hahn) 的一封愤怒的信件,他愤怒地说:“至少在接下来的20天里假装关心一下吧。”

这导致公共政策执行官Caroline Strom发出礼貌的WTF询问。几名员工指出,通信/政策团队与安全/信任团队之间存在紧张关系,后者对适度控制很少/较少:

Strom得到的答复是,笔记本因违反公司的“黑客材料”政策而被删除。

尽管有几位消息人士回忆说,那年夏天,联邦执法部门就可能的外国黑客行为发出了“一般性”警告,但据我所知,没有证据表明任何政府参与了笔记本电脑的故事。

事实上,这可能是问题所在......

这一决定是在公司最高层做出的,但首席执行官杰克·多尔西 (Jack Dorsey) 并不知情,前法律、政策和信托主管维贾亚·加德 (Vijaya Gadde) 发挥了关键作用。

“他们只是自由职业者,”这是一位前雇员对该决定的描述,“黑客攻击是借口,但在几个小时内,几乎所有人都意识到这是不可能的。但是没有人有胆量去改变它。”

你可以从以下冗长的交流中看到这种混乱,最后包括加德和前信托和安全主管尤尔·罗斯(Yoel Roth),通信官员特伦顿·肯尼迪(Trenton Kennedy)写道:“我很难理解将此标记为不安全的政策依据。”

一位前雇员说,至此每个人都知道这很糟糕,但回应基本上是知错犯错,宁愿继续犯错。

前全球通信副总裁布兰登·博尔曼(Brandon Borrman)问道:“我们可以如实声称这是政策的一部分吗?

对此,前副总法律顾问吉姆·贝克似乎再次建议保持不走寻常路,因为“有必要谨慎行事”。

科技公司和内容管理的一个基本问题是:许多负责言论的人对言论知之甚少,也不关心,必须由外人告诉他们基本情况。

在第一天的一次幽默交流中,民主党国会议员罗·坎纳 (Ro Khanna) 联系加德 (Gadde),温和地建议她接电话谈论“强烈反对的言论”。康纳是我在档案中能找到的唯一一位表达担忧的民主党官员。

加德迅速回复,立即深入研究Twitter政策,没有意识到坎纳更担心其实是《权利法案》。

坎纳试图将话题转向第一修正案,在文件中一般很难找到关于第一修正案的内容。

一天之内,公共政策负责人劳伦·卡尔伯森 (Lauren Culbertson) 收到了来自研究公司 NetChoice 的卡尔·萨博 (Carl Szabo) 的一封可怕的信件/报告,该公司已经对12名国会议员进行了民意调查(9名共和党人和3名民主党人),从“众议院司法委员会到朱丽叶议员的办公室。”

NetChoice让推特知道,在即将举行的国会听证会上,将有一场“血洗”,议员们说这是一个转折点,抱怨科技公司已经“发展得如此之大,甚至无法自我监管,所以政府可能需要干预”。

Szabo在Twitter上报告说,一些国会山的人物将笔记本电脑的故事描述为“科技进入好莱坞的时刻”。

Szabo的信中有一些令人不寒而栗的段落,转述了民主党立法者的态度。他们想要“更多”的节制,至于权利法案,它“不是绝对的”。

拜登笔记本电脑事件的一个惊人的次要情节是在当时CEO Dorsey不知情的情况下完成了多少工作,以及即使在Dorsey插手之后,情况也需要多长时间才能“摆脱困境”(正如一位前雇员所说)。

在文件中,有多个例子显示,Dorsey介入质疑对不同政治派别的账户的暂停和其他审核行动。

几位消息人士称,“黑客材料”裁决的问题在于,这通常需要官方/执法部门发现黑客行为。但其实从未过这种高管所描述的全公司 24 小时“旋风式”混乱中。

对我来说,这96小时也像旋风一样。还有更多内容,包括影子禁令、提升粉丝者数量、各种个人账户的命运等问题。这些问题不仅限于政治权利。

晚安,各位。感谢所有在过去几天里拿起电话的人。

END

以上这些内容是在马斯克预告Twitter过去的内部运作将被曝光之后出现的。上周一,他说关于压制言论自由的推特文件将很快公布,并补充说公众有权了解推特过去的讨论。

全文中提到的这位尊重权利的Khanna表示认为宪法和第一修正案是 "神圣的"。

“作为代表硅谷的国会议员,我觉得Twitter的行为违反了第一修正案的原则,所以我提出了这些担忧,”Khanna在一份声明中说,“只有当我们对思想市场持开放态度,并与我们持不同意见的人接触时,我们的民主才能蓬勃发展。”

马斯克在推特上回应称:“卡纳是伟大的。”

在强腕下仍旧坚持要开放不同的声音,期待民主的蓬勃发展,确实堪称为是伟大的政客。

话说回来,马斯克此番操作,你认为推特的未来会变的更好吗?

Trending Cryptos

Related Reads

After Tokenized U.S. Treasury Bonds, Tokenized Stocks Are Becoming the New Battleground for RWA

**Tokenized Stocks Emerge as the New RWA Battleground** Following the initial surge of tokenized U.S. Treasuries, the tokenized stock market is rapidly expanding in both scale and quality. Unlike the currently stagnating treasury tokenization market, tokenized stock offerings are seeing significant growth and attracting major players from traditional finance, fintech, crypto exchanges, and native Web3 platforms. The U.S. SEC has outlined a framework for tokenized securities, which applies to stocks: **Issuer-Sponsored Tokenized Securities** (direct tokenization by the issuer, inheriting all shareholder rights but with strict compliance, e.g., Securitize); **Custodial Tokenized Securities** (tokenization of custodied interests, e.g., DTCC, Ondo's recent IVV/MU tokens); **Linked Securities** (tokenized debt notes backed by the stock, offering price exposure and greater on-chain utility, e.g., Ondo, xStocks, Robinhood's new Stock Tokens); and **Security-Based Swaps** (tokenized derivatives contracts, e.g., Robinhood's earlier Classic Stock Tokens). Key platforms are pursuing different strategies: * **Securitize** leads with an issuer-sponsored model, ensuring full rights but limiting on-chain interactions via its compliance-enforcing DS Protocol. * **Ondo** and **xStocks** use the linked security structure for broad accessibility on CEXs and DeFi, though this fragments liquidity and excludes U.S. users. * **Robinhood** recently launched linked security-based Stock Tokens, leveraging its user base and new Robinhood Chain. * Traditional infrastructure giants like **DTCC**, the **NYSE**, and **Nasdaq** are actively developing pilots and platforms for tokenized settlement and trading. * **Coinbase** has announced plans for tokenized stocks, likely using a structure that offers on-chain utility while excluding U.S. customers. Despite different approaches, all players are converging on tokenized stocks as the next major catalyst for the RWA sector. The evolving regulatory landscape and market adoption will shape this competitive new battlefield.

marsbit25m ago

After Tokenized U.S. Treasury Bonds, Tokenized Stocks Are Becoming the New Battleground for RWA

marsbit25m ago

Nvidia Faces Collective Selling by Funds: What Are Private Equity Firms Sniffing Out?

Several prominent Chinese private equity funds, including Gaoyi Asset and Dantoo's Orient Harbor, made significant portfolio adjustments in Q2 2024, as revealed in their latest SEC 13F filings. The most notable move was a collective retreat from AI chip leader NVIDIA, with Gaoyi reducing its stake by over 70%, Jilin Asset selling out completely, and Orient Harbor trimming its holdings. This shift does not signal a loss of faith in the AI trend, but rather a change in investment focus from "expectation-driven" to "realization-driven" valuation. Capital is flowing from crowded, high-valuation names towards segments with clearer profitability visibility and better risk-reward profiles. The funds' new major conviction is Taiwan Semiconductor Manufacturing Company (TSMC), which Gaoyi built into its top holding. The thesis centers on TSMC's role as a critical bottleneck in the AI supply chain due to its dominance in advanced semiconductor manufacturing and, crucially, advanced CoWoS packaging capacity. As demand for AI chips explodes, TSMC's "must-pass" foundry services grant it significant pricing power, suggesting a potential migration of profits from chip designers to manufacturers. Simultaneously, both Gaoyi and Orient Harbor substantially increased positions in memory chip companies like Micron and SanDisk. The investment logic here is twofold: a cyclical recovery in the memory market combined with a new, structural growth driver from AI. High Bandwidth Memory (HBM), essential for AI processor performance, is supply-constrained and its production diverts capacity from standard DRAM and NAND, creating a broad-based pricing tailwind for the memory sector. The collective reduction in NVIDIA reflects a view that its massive prior gains have compressed its future upside potential ("lowered赔率"). The market now demands flawless execution and faces new risks like rising costs from TSMC and HBM suppliers, as well as competition from cloud companies' custom chips. The funds' reallocation highlights a broader thematic: as the AI boom matures, investment opportunities and excess profits are shifting along the supply chain—from design to the physical constraints of manufacturing and memory. The next phase of AI investing may be defined by pricing power derived from tangible bottlenecks like advanced packaging and HBM capacity.

marsbit57m ago

Nvidia Faces Collective Selling by Funds: What Are Private Equity Firms Sniffing Out?

marsbit57m ago

Reverse Turing Test: This 'Pure Handcrafted Large Model' Is Driving Netizens Crazy

An art project called ChatTJB, humorously billed as a "next-generation, single-operator Large Language Experience" (LLE), gained viral attention in San Francisco. Promoted via a billboard, its website mimicked a genuine AI service with a chat interface, documentation, and even a "Pro" subscription. The twist? It was entirely manual. A single person, named Tucker, personally read, thought about, and typed replies to thousands of user queries using his thumbs, even hand-drawing images. He coined terms like "human-powered reasoning layer" to describe this process, highlighting its inherent human limitations: speed depended on his alertness, capacity was strictly one conversation at a time, and errors were traceable to a specific individual. The project's popularity overwhelmed Tucker, forcing a pause on new users and leading to plans for a community version with volunteer "AIs" (Average Individuals). While initially a source of amusement, Tucker noted that some users began sharing genuine personal concerns, valuing the knowledge that a real person was attentively listening and responding. The project satirizes AI hype while underscoring the irreplaceable value of human connection and attention in an age of automated, scalable interactions. A similar platform, "Your AI Slop Bores Me," was mentioned, where users either submit requests or role-play as the "AI" to fulfill others' text or drawing prompts, further emphasizing the human element behind the interface. The core message: sometimes, knowing there's a real person on the other end is what truly matters.

marsbit1h ago

Reverse Turing Test: This 'Pure Handcrafted Large Model' Is Driving Netizens Crazy

marsbit1h ago

Overnight, GPT-5.6 Sol Was Accelerated 14x by OpenAI

OpenAI, in collaboration with chipmaker Cerebras, has unveiled a limited preview of an "Ultrafast Mode" for its flagship GPT-5.6 Sol model. This new service tier reportedly achieves output speeds of up to 750 tokens per second—a 14x increase over the standard mode's baseline of ~53 tokens/s—without any loss in quality. Key to this acceleration is Cerebras's wafer-scale architecture (WSE-3), which houses model parameters entirely in on-chip SRAM to eliminate the memory bandwidth bottlenecks typical of traditional GPU clusters. In benchmark testing on the challenging "Humanity's Last Exam" (HLE), GPT-5.6 Sol in Ultrafast Mode answered all 2500 questions in 11 hours and 11 minutes, compared to over 78 hours for a competitor model, while maintaining similar accuracy. The speed boost also translated to a 5.6x faster end-to-end performance on the GDP-Val benchmark for economically valuable knowledge work. OpenAI highlights several potential applications for such rapid inference, including real-time event response and reliability analysis, dynamic financial research and security, complex customer support, interactive shopping assistance, and accelerated research and experimentation workflows that enable multiple iterative cycles within a single workday. This advancement may allow users to deploy the highest-tier models for tasks previously requiring slower secondary models, significantly compressing multi-step agent workflows from hours to minutes.

marsbit1h ago

Overnight, GPT-5.6 Sol Was Accelerated 14x by OpenAI

marsbit1h ago

Trading

Spot

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of ETH (ETH) are presented below.

活动图片