Tether Bets Big On Gold With $150 Million Investment In Gold.com

bitcoinistОпубліковано о 2026-02-07Востаннє оновлено о 2026-02-07

Анотація

Tether has made a strategic investment of approximately $150 million to acquire a 12% stake in Gold.com, signaling a major move to bridge physical gold markets with digital assets. The deal grants Tether a board seat and includes plans for a $100 million gold leasing facility. As part of the collaboration, Gold.com will accept Tether’s stablecoins, including USDT and USAT. The partnership aims to enhance the usability of Tether’s gold-backed token XAU₮ and streamline gold trading using crypto infrastructure. While some see this as a step toward greater token credibility, others raise concerns about custody, audits, and regulatory scrutiny. The shares were acquired at a discount, indicating a negotiated strategic purchase.

Tether has put a big bet on bullion. Reports say the stablecoin issuer bought a roughly $150 million stake in Gold.com, taking about 12% of the shares at a price that undercuts recent trading.

That move follows signals that both firms want to tie physical gold markets to digital tokens more closely. Investors reacted with a mix of curiosity and caution.

Tether Takes A Stake

Reports note the deal gives Tether the right to name a board member at Gold.com. That matters because it means more than money changes hands; it opens a direct line between a major crypto issuer and a major bullion distributor.

The firms plan to explore a gold leasing facility of at least $100 million, a step that could help move metal without always shifting cash around. Gold.com will also accept Tether’s stablecoins, including USDT and USAT, as part of the collaboration.

What The Deal Could Do

This partnership aims to speed how people buy, sell, and hold gold using crypto rails. Part of the cash will be put toward Tether’s gold-backed token, XAU₮. That could make XAU₮ more usable in everyday trades, and it might give buyers a clearer path from a crypto wallet to physical bullion.

Some traders think this helps gold tokens gain credibility. Others worry a big crypto player stepping into metal markets will raise fresh questions about custody, audit practices, and how price moves will be reported.

BTCUSD now trading at $65,917. Chart: TradingView

Market Reaction And Risk

Equity traders noticed the shares were bought at close to 12% discount to recent levels, which suggests a negotiated, strategic purchase rather than a public market run.

Buyers in the bullion trade care about storage, insurance, and counterparty trust. Reports have disclosed that linking stablecoins and physical assets raises both promise and regulatory scrutiny.

Regulators in several regions are already watching how tokenized assets are structured. That scrutiny could shape how fast this partnership scales.

Distribution And Token Plans

Gold.com and Tether appear set to build new on-ramps. Imagine buying bullion and immediately receiving a token that represents the metal, or using USDT to pay for vault storage without fiat rails.

The plan to put a portion of funds into XAU₮ suggests token holders might see more liquidity and more places to spend or move their gold exposure. That could cut friction for buyers who prefer digital settlement.

Featured image from Pexels, chart from TradingView

Пов'язані питання

QWhat is the amount of Tether's investment in Gold.com and what percentage of shares does it represent?

ATether invested approximately $150 million in Gold.com, representing about 12% of the shares.

QWhat specific rights does Tether gain through this investment deal with Gold.com?

AThe deal gives Tether the right to name a board member at Gold.com, establishing a direct link between the crypto issuer and the bullion distributor.

QWhich Tether stablecoins will Gold.com accept as part of this collaboration?

AGold.com will accept Tether's stablecoins, including USDT and USAT, as part of the collaboration.

QWhat is the planned size of the gold leasing facility that Tether and Gold.com will explore?

AThe firms plan to explore a gold leasing facility of at least $100 million.

QWhich Tether token is specifically mentioned as receiving part of the investment to improve its usability?

APart of the cash will be put toward Tether's gold-backed token, XAU₮, to make it more usable in everyday trades.

Пов'язані матеріали

Upbit Rebalances 864B SHIB In Internal Wallet Move

South Korean cryptocurrency exchange Upbit moved a total of 864 billion SHIB (worth approximately $4 million) between its internal wallet addresses. The activity, involving transfers of 384 billion SHIB outbound and 480 billion SHIB inbound, occurred following a 36% SHIB price rally. On-chain data indicates this was a routine internal wallet rebalancing operation by the exchange, not a sell-off or liquidation event. The article cautions that while large on-chain transfers are highly visible, they require proper context and wallet labeling to interpret correctly. In this case, the movement between known Upbit addresses does not inherently signal a change in market supply or selling pressure for SHIB.

bitcoinist49 хв тому

Upbit Rebalances 864B SHIB In Internal Wallet Move

bitcoinist49 хв тому

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

This article introduces a novel training paradigm for generative models called Explorative Modeling (XM), which enables true end-to-end training. Traditionally, powerful generative models like autoregressive and diffusion models are not trained end-to-end. They are trained to predict a single small step but require iterative multi-step sampling for inference. This "exposure bias" leads to error accumulation and limits performance. The core challenge XM addresses is "mode blurring." In generative tasks, a single input (e.g., "generate a dog") corresponds to many valid outputs (multiple modes). Standard training objectives like reconstruction loss force the model to average these modes, producing unrealistic, blurry outputs. To avoid this, existing models break generation into many small, almost deterministic steps, sacrificing end-to-end training. XM tackles this by restructuring the training loop itself. Its key insight is to amplify "generative expressivity." For each training input, instead of generating one sample, the model generates K candidate outputs. Only the candidate closest to the real data is used for computing the loss and updating the model via backpropagation. This simple "best-of-K" mechanism is implemented as a short for-loop. By exploring multiple possibilities, the model learns to distribute its guesses across different modes rather than collapsing to their uninformative average. The paper demonstrates that "exploration" acts as a new, powerful scaling axis. Gains from XM increase with model size, data scale, and compute. Experiments show improvements in FID scores for image generation and significant efficiency gains, sometimes outperforming larger models without exploration. When pushed to the limit, XM enables fully single-step, end-to-end generative models. In robotics tasks, an "Explorative Policy" matched the performance of a 100-step Diffusion Policy with a single forward pass, drastically improving inference speed. While the best-of-K concept is not entirely new, the authors' contribution lies in formally understanding it as a direct method to boost generative expressivity without fragmenting the generation process. This work suggests that as models scale, enhancing exploration during training may become crucial for overcoming fundamental performance bottlenecks.

marsbit49 хв тому

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

marsbit49 хв тому

A Maximum of 20 Submissions Per Person? DeepMind Researcher Satirically 'Petitions' Against ICLR's New Rule

The International Conference on Learning Representations (ICLR) 2027 has introduced a new submission rule limiting authors to a maximum of 20 papers per conference. This policy, announced due to a 68% surge in submissions for ICLR 2026 that strained the review system, aims to ensure fair and informative peer review. Google DeepMind researcher Dan Roy responded with a sarcastic petition on X, calling the 20-paper cap "absurd" and claiming it would slow AI progress. His post mockingly argued that AI agents can now produce incremental research and that large language models (LLMs) already handle all reviewing, so output should be maximized. This satire critiques the broader trend of AI's role in academia, referencing a 2025 study that found about 21% of ICLR 2026 reviews were likely fully AI-generated. Roy's underlying point questions whether simply capping submissions addresses the systemic issue of AI potentially flooding conferences with agent-written papers and AI-assisted reviews. The debate highlights tensions between managing submission volume and maintaining research quality as AI tools become pervasive.

marsbit54 хв тому

A Maximum of 20 Submissions Per Person? DeepMind Researcher Satirically 'Petitions' Against ICLR's New Rule

marsbit54 хв тому

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

A security vulnerability in Coldcard hardware wallets led to the theft of 1,367.05 BTC (approx. $89 million) from 4,585 addresses, according to Galaxy Research. The flaw, caused by insufficient randomness in seed phrase generation for specific firmware versions, triggered a massive migration of funds as users moved assets to new, secure wallets. This event caused the largest on-chain movement of small Bitcoin transactions since the FTX collapse, distorting key market indicators like active addresses and exchange deposits, and significantly dampening market sentiment. The incident also highlighted challenges in cybersecurity investigations, as researchers reported that safety guardrails on mainstream U.S. AI models hindered the analysis of attack patterns, forcing them to use an open-source Chinese AI model for forensic work. This underscores a dilemma in balancing AI security restrictions with the need for rapid response in tracing stolen crypto assets.

marsbit1 год тому

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

marsbit1 год тому

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

The AI boom is facing an unexpected bottleneck: a severe shortage of skilled construction workers and electricians. As tech giants like Meta, OpenAI, and Alphabet race to build massive data centers—such as OpenAI's $16 billion "Stargate" project—they are hitting a critical labor wall. The U.S. needs an estimated 130,000 more electricians, 240,000 construction workers, and 150,000 supervisors by 2030 for AI infrastructure alone, but tens of thousands of electrician jobs go unfilled each year. While AI companies offer high premiums, with electricians earning up to $280,000 annually, worker scarcity still causes massive losses—delays on a single project can cost $14.2 million per month. The complexity of building AI data centers, which require immense power (equivalent to powering hundreds of thousands of homes), sophisticated electrical systems, and advanced liquid cooling solutions, demands highly skilled technicians who are in short supply. To combat this, companies are investing heavily in training. Meta has committed $115 million to a free training school offering tuition, housing, and stipends, targeting 5,000 new workers. OpenAI is partnering with unions to secure skilled labor. These efforts are paying off, with a significant rise in Gen Z interest in trade schools over college. However, the power demands are staggering. AI data centers are driving a rapid surge in electricity consumption, projected to account for up to 12% of U.S. power use by 2028 and raising costs for consumers. Furthermore, the construction boom is project-based, leading to a potential future glut of trained workers once building peaks, which could depress wages industry-wide. The race for AI supremacy now depends as much on skilled hands as on advanced chips.

marsbit2 год тому

Annual Salary of Millions Competing for Electricians, Meta Rushes to Open Its Own Technical School

marsbit2 год тому

Торгівля

Спот
活动图片