Terra Founder Addresses Concerns on Any Loss of Bitcoin Peg to UST Stablecoin

CoingapePublicado em 2022-04-05Última atualização em 2022-04-05

Resumo

Terra’s parent entity Luna Foundation Guard (LFG) has been on a massive Bitcoin acquisition spree to peg BTC to its stablecoin UST.

Terra’s parent entity Luna Foundation Guard (LFG) has been on a massive Bitcoin acquisition spree to peg BTC to its stablecoin UST. Terraform Labs founder Do Kwon recently said that he’s even willing to become the second-largest Bitcoin holder after Satoshi Nakamoto.
However, many people are raising concerns over future liquidity amid this heavy accumulation by a single entity. Addressing these concerns, Do Kwon said that Bitcoin is “liquid” enough to handle any potential de-pegging of its UST stablecoin. During an interview with Bloomberg Quicktale on Monday, April 4, Kwon said:
“People need to have a little bit more faith in crypto. If you look at Bitcoin, it turns over more than US$20 billion per day and I think with time, it’s going to be even more liquid. Even if a stablecoin were to de- peg over time and those reserves would be used to defend that peg. I think (the Bitcoin market) would more than easily be able to absorb the Bitcoin that enters the market”.
Terra is planning to have $10 billion worth of Bitcoin to serve as a reserve for its decentralized UST stablecoin. The Luna Foundation Guard already completed a purchase of $1.5 billion worth of Bitcoin last month.
TerraUSD (UST) Taking Different Approach
Terra’s native stablecoin UST is currently the third-largest by market cap. But unlike the top two stablecoins – USDT and USDC – the TerraUSD (UST) takes a different approach.
USDT and USDC are centralized stablecoin in a manner that they are directly pegged to a fiat currency. On the hand, Terra’s UST stablecoin maintains its peg by burning the LUNA tokens. A Bitcoin reserve will further help UST’s ability to maintain its dollar peg. Kwon explained:
“The important thing to remember about Terra is that is a decentralised stablecoin in the sense that it has no issuer. If you were holding some sort of centralised collateral…bonds, Tether stablecoin, or (Circle’s USDC), in that case, whoever is holding the largest amount of these reserves would be subject to censorship, and would defeat the entire purpose of having decentralised stablecoin in the first place”.
LUNA has been one of the top-performing cryptocurrencies in the market. The LUNA price has appreciated more than 100% over the last month ever since the LFG started with its Bitcoin purchases. As of press time, LUNA is trading close to its all-time high of $116 as the seventh-largest cryptocurrency with a market cap of $41 billion.

Leituras Relacionadas

Morning Post | Bitmine Plans to Raise $300 Million Through Preferred Stock Issuance; Polymarket Accuses Kalshi of Commercial Espionage

ChainCatcher's Daily Crypto Brief: Key developments from the past 24 hours include significant funding moves, regulatory actions, and market predictions. Bitmine announced a $300 million preferred stock fundraising. Polymarket accused rival prediction platform Kalshi of corporate espionage, citing numerous suspicious coincidences in product launches, a claim Kalshi strongly denied. The U.S. Department of Justice, in a joint "Disruption Week" anti-fraud operation with companies like Coinbase and Meta, froze over $3.8 million in cryptocurrency linked to scams. In infrastructure news, Macau completed its integration with the multi-central bank digital currency bridge, mBridge, aiming to build efficient cross-border payment channels. Cosmos Labs acquired the block explorer Mintscan. Market-wise, Geoffrey Kendrick, Standard Chartered's Head of Digital Assets Research, stated Bitcoin is nearing a bottom around $63,000, maintaining a year-end target of $100,000. He noted stability in U.S. spot Bitcoin ETF holdings. Ahead of SpaceX's anticipated IPO, internal insiders at Rocket Lab (RKLB) sold over $18.41 million in stock. In tokenization, Goldman Sachs partnered with Apex and Archax to launch a tokenized real estate fund. The meme token tracker GMGN reported the top trending tokens: on Ethereum, HEX, SHIB, LINK, PEPE, mUSD; on Solana, TROLL, swarms, WORLDCUP, neet, Buttcoin; and on Base, PEPE, toby, ODDS, ELSA, SKI.

链捕手Há 11m

Morning Post | Bitmine Plans to Raise $300 Million Through Preferred Stock Issuance; Polymarket Accuses Kalshi of Commercial Espionage

链捕手Há 11m

55TB to 28TB? The Rumor and Panic Behind Rubin's Memory Being Halved

Title: 55TB to 28TB? The Rumor and Panic Behind the Potential Halving of Rubin's Memory. On June 4th, a report from SemiAnalysis suggested NVIDIA's next-gen Vera Rubin NVL72 AI rack may ship with roughly 28TB of SOCAMM DRAM per rack instead of the anticipated 55TB, primarily using 96GB modules. This sparked a market panic, causing Micron's stock to drop over 10% on fears of halved memory demand. However, the article argues this panic is misguided for several key reasons. First, SOCAMM modules are socketed and upgradeable, not soldered. Lower initial configuration doesn't mean permanent demand loss. Second, the primary driver is a severe 2026 LPDDR5X supply shortage, not diminished need. NVIDIA is likely prioritizing rack shipments with available components. Third, with fixed total LPDDR5X supply, using less per rack could allow NVIDIA to ship *more* racks, not necessarily reducing overall memory orders. Micron's sharp drop was also attributed to a broader semiconductor sell-off triggered by Broadcom's earnings, with the SemiAnalysis report providing a convenient narrative for profit-taking after Micron's massive rally. In summary: the report on lower default configurations is likely accurate, but interpreting it as a demand collapse is wrong. The real risk for Micron lies in its reportedly minimal HBM4 share for Rubin, not in potentially flexible SOCAMM demand. The sell-off appears more like a correction amplified by coinciding negative catalysts.

marsbitHá 27m

55TB to 28TB? The Rumor and Panic Behind Rubin's Memory Being Halved

marsbitHá 27m

Exclusive from Yingke | Tang Wenbin's 'Yuanli Lingji' Merges with Logistics Robotics Company, and Secures Investment from Zhipu, SenseTime, Jieyue, and Others

Exclusive report: Embodied AI company "Yuanli Lingji" recently completed a new round of financing from major AI model firms including Zhipu AI, Stepfun, and SenseTime, alongside continued investments from industrial backers like Huaqin and SAIC Hengxu. Founded in March 2025 by Tang Wenbin, former co-founder and CTO of Megvii, Yuanli Lingji is a general-purpose embodied AI model company. In a notable move, the company has merged with logistics robotics firm "Atomix" (formerly known as Yuanli Juhe) through a share acquisition. Atomix, which originated from Megvii's logistics robotics business led by Tang in 2016 and was spun off in July 2024, has grown to become the world's second-largest supplier of pallet shuttle robots, with annual revenue nearing 1 billion RMB and over 500 projects globally for clients like Uniqlo and CATL. This merger aims to break the industry's "data deadlock" by combining Atomix's extensive real-world operational data from more than 20 countries with Yuanli Lingji's model training capabilities. The company's embodied AI model "DM0" utilizes a cross-domain training approach, integrating internet semantics, autonomous driving rules, and robotics data to achieve hardware-agnostic, precise manipulation even with a compact 2.4B parameter size. The collective investment from key AI players and the strategic merger signal a shift in the competitive landscape, as major model companies pivot from language tokens to physical actions ("from Token to Action"). The industry is entering a consolidation phase where hardware, AI models, data, and application scenarios converge to scale embodied intelligence, a trend mirrored by recent moves from giants like ByteDance and Skild AI.

marsbitHá 35m

Exclusive from Yingke | Tang Wenbin's 'Yuanli Lingji' Merges with Logistics Robotics Company, and Secures Investment from Zhipu, SenseTime, Jieyue, and Others

marsbitHá 35m

U.S. Stock Market Trends: Dow Hits New High, Nasdaq Falls, Whom Did Broadcom's Slap Wake Up?

U.S. Stocks Split: Dow Hits Record High as Nasdaq Slips; Broadcom's Plunge Sparks Rotation On June 4, the U.S. stock market saw a sharp divergence. The Dow Jones surged 875 points (+1.73%) to a record high of 51,561.93, while the Nasdaq Composite edged down 0.09%. The S&P 500 rose 0.41%. The primary catalyst was a sharp sell-off in AI-related chip stocks, led by Broadcom (AVGO). Despite reporting a 143% year-over-year jump in AI semiconductor revenue to $10.8 billion, the company's shares plunged about 14%. This was triggered by its maintained long-term AI revenue target, which failed to meet heightened expectations for a stock that had gained 55% this quarter and traded at a high P/E ratio. The slide dragged down the broader semiconductor sector and the technology板块. Conversely, money rotated into sectors like Healthcare (+3.14%), Financials (+2.67%), and Real Estate (+1.87%). UnitedHealth and Goldman Sachs were major contributors to the Dow's gains. The rotation was attributed to a search for value outside overheated tech names and a slight dip in Treasury yields. In other major news, SpaceX confirmed its IPO for June 12, targeting a record $75 billion raise at a ~$1.75 trillion valuation. Additionally, initial jobless claims rose to a four-month high, adding nuance to the labor market narrative ahead of the key May non-farm payrolls report. The day's action signaled that while the AI growth story remains intact, excessive valuations are prompting a market reassessment. Funds are moving, at least temporarily, from high-flying tech to more defensive and value-oriented sectors. The sustainability of this rotation hinges on upcoming economic data, particularly the jobs report, and the market's absorption of the massive SpaceX IPO.

marsbitHá 38m

U.S. Stock Market Trends: Dow Hits New High, Nasdaq Falls, Whom Did Broadcom's Slap Wake Up?

marsbitHá 38m

From 'Old Dogs' to 'New Darlings': How AI is Revaluing Old Infrastructure, from Dell to Nokia

"Old Dogs" Become AI's New Darlings: Revaluing Legacy Infrastructure The AI investment narrative is shifting. Beyond the spotlight on core chipmakers like Nvidia, a new wave of interest is rising for legacy tech companies—Dell, HPE, Nokia, Cisco, Corning, Western Digital—once labeled as slow-growth, outdated stories. This resurgence stems from AI's evolution from model development to real-world deployment, creating massive demand for physical infrastructure. As AI moves into data center construction and enterprise adoption, the focus turns to who can actually build and deliver complex systems. These established players hold decades of experience in supply chains, integration, networking, and enterprise delivery—assets now critical for scaling AI. The revaluation can be grouped into three key infrastructure areas: 1. **Servers & Integration (e.g., Dell, HPE):** They are becoming essential system integrators, transforming GPUs into full-scale AI servers with networking, power, and cooling, then delivering them to clients. Strong recent earnings and AI-specific revenue/order growth for Dell and HPE underscore this shift. 2. **Networking & Connectivity (e.g., Corning, Nokia, Cisco):** As AI clusters grow, high-speed data transfer becomes paramount. Corning benefits from fiber demand for data center links, Nokia is exploring AI-integrated wireless networks (AI-RAN), and Cisco sees surging orders for data center switches—all critical for efficient AI operations. 3. **Storage (e.g., Western Digital, Seagate):** The AI data explosion requires vast capacity. Beyond high-speed memory (HBM), there's growing need for high-capacity HDDs to store training data, logs, video, and cold/archival data cost-effectively. This revaluation, however, is not a blanket endorsement. True reassessment requires concrete proof: AI-driven orders and revenue growth, upward revisions to company guidance, and sustainable improvements in profit quality, not just top-line sales. In essence, AI is not turning all old tech firms into high-growth stocks; it is selectively re-pricing the "old assets" of companies that are mission-critical for building the new AI infrastructure, transforming their legacy capabilities into renewed growth engines.

marsbitHá 47m

From 'Old Dogs' to 'New Darlings': How AI is Revaluing Old Infrastructure, from Dell to Nokia

marsbitHá 47m

Trading

Spot
Futuros
活动图片