Former SEC Chair Made Shocking Revelation to Ripple’s CEO During White House Meet

bitcoinistPubblicato 2026-03-03Pubblicato ultima volta 2026-03-03

Introduzione

Former SEC Chair Gary Gensler privately apologized to Ripple CEO Brad Garlinghouse during a White House meeting on digital asset policy in late 2024, admitting he was wrong about XRP and praising Ripple’s work. This marked a significant shift after a four-year legal battle where the SEC sued Ripple for an unregistered securities offering involving XRP. Although the case created regulatory uncertainty and led to exchange delistings, Ripple secured a partial victory in 2023 when a judge ruled XRP was not a security on public markets. Gensler, who resigned in early 2025, had been a controversial figure in crypto for his aggressive enforcement approach. His apology validates Ripple’s stance and suggests a potential change in how Washington may engage with crypto.

XRP Australia 2026 turned into an unexpected window into Washington’s inner workings when Ripple CEO Brad Garlinghouse revealed that former SEC Chair Gary Gensler had privately apologized and admitted, during a high‐level White House meeting, that he had been wrong about XRP. The revelation marks an unbelievable shift in tone after years of aggressive SEC enforcement and a bruising legal battle against Ripple.

Related Reading: XRP Ledger Positioned For Real World Asset Explosion As Securitize Teases $400-T Market

The Room Where It Happened

Ripple CEO Brad Garlinghouse could hardly believe it himself as he recounted to a stunned audience the encounter he had with former SEC Chair Gary Gensler near the end of 2024 at the White House, during a meeting on digital asset policy, just after the SEC–Ripple legal battle had finally wrapped up. According to Garlinghouse’s account, Gensler approached him in private after the session ended: “He comes up to me and he says sorry,” Garlinghouse recalled, laughing, still visibly astonished:

“I’m sorry, I was wrong, and you guys have done an incredible job”

How the SEC vs Ripple Battle Defined XRP

The four-year legal battle between the SEC and Ripple began in December 2020, when the U.S. Securities and Exchange Commission sued Ripple for allegedly raising $1.3 billion through an unregistered securities offering tied to XRP, framing XRP itself as an investment contract. This resulted in many exchanges delisting XRP, putting the token under a huge regulatory cloud for years and the Ripple vs. SEC case becoming a symbol for the entire crypto market.

However, in 2023, Ripple achieved a very important partial victory, when a judge ruled that, despise some issues with certain institutional sales, XRP was not a security when sold on public markets.

More Than An Apology

Gensler, who stepped down from his role as SEC Chair in early 2025, became the face of the enemy for many in crypto as he pushed an aggressive “regulation by enforcement” strategy against digital asset projects, with Garlinghouse himself previously labeling him a “political liability” and an “autocrat”.

Related Reading: XRP’s Macro Plan Hasn’t Changed, And This Target Remains Valid

Therefore, his brief apology to Garlinghouse behind closed doors carries immense weight: it not only validates Ripple’s narrative that the SEC overreached but also hints at a broader shift in how Washington may choose to engage with XRP and the wider crypto industry going forward.

XRP's price trends to the downside on the daily chart. Source: XRPUSD on Tradingview

Cover image from ChatGPT, XRPUSD on TradingView

Domande pertinenti

QWhat shocking revelation did former SEC Chair Gary Gensler make to Ripple's CEO during a White House meeting?

AFormer SEC Chair Gary Gensler privately apologized to Ripple CEO Brad Garlinghouse and admitted, 'I'm sorry, I was wrong, and you guys have done an incredible job.'

QWhen and where did the encounter between Gary Gensler and Brad Garlinghouse take place?

AThe encounter took place near the end of 2024 at the White House, during a meeting on digital asset policy, shortly after the SEC-Ripple legal battle had concluded.

QWhat was the core allegation made by the SEC against Ripple in its 2020 lawsuit?

AThe SEC sued Ripple for allegedly raising $1.3 billion through an unregistered securities offering tied to XRP, framing XRP itself as an investment contract.

QWhat was the significant legal outcome for Ripple in 2023 that preceded this apology?

AIn 2023, a judge ruled that, despite some issues with certain institutional sales, XRP was not a security when sold on public markets, marking a major partial victory for Ripple.

QWhy does Gary Gensler's apology carry immense weight for the crypto industry, according to the article?

AThe apology not only validates Ripple's narrative that the SEC overreached but also hints at a broader shift in how Washington may choose to engage with XRP and the wider crypto industry going forward.

Letture associate

Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

In a span of four days, Amazon announced an additional $25 billion investment, and Google pledged up to $40 billion—both direct competitors pouring over $65 billion into the same AI startup, Anthropic. Rather than a typical venture capital move, this signals the latest escalation in the cloud wars. The core of the deal is not equity but compute pre-orders: Anthropic must spend the majority of these funds on AWS and Google Cloud services and chips, effectively locking in massive future compute consumption. This reflects a shift in cloud market dynamics—enterprises now choose cloud providers based on which hosts the best AI models, not just price or stability. With OpenAI deeply tied to Microsoft, Anthropic’s Claude has become the only viable strategic asset for Google and Amazon to remain competitive. Anthropic’s annualized revenue has surged to $30 billion, and it is expanding into verticals like biotech, positioning itself as a cross-industry AI infrastructure layer. However, this funding comes with constraints: Anthropic’s independence is challenged as it balances two rival investors, its safety-first narrative faces pressure from regulatory scrutiny, and its path to IPO introduces new financial pressures. Globally, this accelerates a "tri-polar" closed-loop structure in AI infrastructure, with Microsoft-OpenAI, Google-Anthropic, and Amazon-Anthropic forming exclusive model-cloud alliances. In contrast, China’s landscape differs—investments like Alibaba and Tencent backing open-source model firm DeepSeek reflect a more decoupled approach, though closed-source models from major cloud providers still dominate. The $65 billion bet is ultimately about securing a seat at the table in an AI-defined future—where missing the model layer means losing the cloud war.

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Google and Amazon Simultaneously Invest Heavily in a Competitor: The Most Absurd Business Logic of the AI Era Is Becoming Reality

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Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

DeepSeek-V4 has been released as a preview open-source model, featuring 1 million tokens of context length as a baseline capability—previously a premium feature locked behind enterprise paywalls by major overseas AI firms. The official announcement, however, openly acknowledges computational constraints, particularly limited service throughput for the high-end DeepSeek-V4-Pro version due to restricted high-end computing power. Rather than competing on pure scale, DeepSeek adopts a pragmatic approach that balances algorithmic innovation with hardware realities in China’s AI ecosystem. The V4-Pro model uses a highly sparse architecture with 1.6T total parameters but only activates 49B during inference. It performs strongly in agentic coding, knowledge-intensive tasks, and STEM reasoning, competing closely with top-tier closed models like Gemini Pro 3.1 and Claude Opus 4.6 in certain scenarios. A key strategic product is the Flash edition, with 284B total parameters but only 13B activated—making it cost-effective and accessible for mid- and low-tier hardware, including domestic AI chips from Huawei (Ascend), Cambricon, and Hygon. This design supports broader adoption across developers and SMEs while stimulating China's domestic semiconductor ecosystem. Despite facing talent outflow and intense competition in user traffic—with rivals like Doubao and Qianwen leading in monthly active users—DeepSeek has maintained technical momentum. The release also comes amid reports of a new funding round targeting a valuation exceeding $10 billion, potentially setting a new record in China’s LLM sector. Ultimately, DeepSeek-V4 represents a shift toward open yet realistic infrastructure development in the constrained compute landscape of Chinese AI, emphasizing engineering efficiency and domestic hardware compatibility over pure model scale.

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Computing Power Constrained, Why Did DeepSeek-V4 Open Source?

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