Epstein's Early Crypto Investments Resurface, Tether Launches Bitcoin Mining OS: What's the Overseas Crypto Community Talking About Today?

marsbit2026-02-03 tarihinde yayınlandı2026-02-03 tarihinde güncellendi

Özet

In the past 24 hours, the crypto market evolved across multiple fronts. Key discussions centered on structural changes in stablecoins and trading infrastructure, alongside governance and risk debates around exchanges and market-making mechanisms. Mainstream topics included newly disclosed files showing Epstein’s early investments in Coinbase and Blockstream, sparking community debates on Bitcoin’s reputation and decentralization. Several blockchains, including Solana and Monad, launched AI-focused hackathons to advance agent-based trading and automation. Binance’s CZ responded to FUD with selective clarifications, drawing mixed reactions. Tether released MOS, an open-source Bitcoin mining OS aimed at improving efficiency and hardware compatibility. Ecosystem-wise, Solana set new records in daily active transactions, signaling a strong recovery in utility and adoption. Ethereum explored cross-rollup atomic composability to improve interoperability between L2s. Perp DEX Hyperliquid introduced CLI tools for AI-agent trading, advancing automated infrastructure. Other notable updates: stablecoin monthly trading volume surpassed $10 trillion, highlighting growing adoption. Wintermute’s founder criticized internal market makers at some exchanges, raising concerns over liquidity and risk management. Overall, sentiment is cautiously optimistic, with emphasis on infrastructure maturity, AI integration, and the need for robust, decentralized solutions.

Over the past 24 hours, the crypto market has evolved on multiple fronts. Mainstream discussions have focused on structural changes in stablecoins and trading infrastructure, as well as risk and governance debates surrounding trading platforms and market-making mechanisms; in terms of ecosystem development, Solana set a new record for on-chain activity under high load, showing signs of a practical utility recovery; Ethereum's technical exploration around cross-rollup composability continues to advance; Perp DEX is accelerating its evolution towards a proxy-based, automated trading infrastructure, with competition in the sector heating up further.

I. Mainstream Topics

1. Documents Reveal Epstein's Involvement in Early Investments in Coinbase and Blockstream

Newly disclosed documents related to Epstein show that in 2014, Epstein, through a fund managed by Joi Ito, made a small equity investment in Bitcoin infrastructure company Blockstream; the fund later exited the investment due to potential conflict of interest issues. The documents also mention that Epstein may have indirectly invested approximately $3 million in Coinbase through the capital network associated with Brock Pierce, and had funded Bitcoin Core developers through MIT as a channel.

Additionally, the documents disclose that Epstein met with then-New York Department of Financial Services (NYDFS) Superintendent Ben Lawsky during the formulation of New York State's BitLicense regulatory rules. BitLicense is regarded as a significant milestone in early Bitcoin regulation in the U.S., but it has long been controversial within the industry for restricting innovation and raising compliance barriers.

The related information has sparked strong reactions within the community. Some users criticized Blockstream founder Adam Back for having met with Epstein, questioning his moral stance and even calling for him to exit the Bitcoin space; other voices linked this to Coinbase's early refusal to list XRP, further extending to speculation about political party influence. More radical comments included accusations about the originality of the PoW mechanism, controversies over support for large on-chain data volumes, and even evolved into conspiracy theory-like speculation.

Overall, the discussion sentiment is highly divergent, but the core demands focus on "repairing Bitcoin's reputation" and "promoting a stronger path to decentralization," including renewed calls to expand block size and reduce infrastructure power concentration.

2. Public Chains Intensively Promote Moltbot / AI Hackathon Competitions

Solana announced the launch of its first AI Hackathon, lasting two weeks, with a total prize pool exceeding $185,000, covering six tracks including AI Agent infrastructure, DeFi Agent, and trading agents, with support from multiple ecosystem partners.

Meanwhile, Monad launched the Moltiverse Hackathon, setting a $200,000 prize pool, focusing on the application of AI agents in scalable trading, community operations, and commercial scenarios, emphasizing endowing Moltbot with native crypto asset capabilities, backed by sponsorship from several funds and AI projects.

Community reaction is generally positive, seeing this as a sign that competition among public chains in the direction of AI Agents has entered a substantive stage, potentially giving rise to new application forms like chat agents and social agents. Some developers have already begun forming teams to register, actively seeking technical and resource support.

However, cautious voices exist, pointing out that Monad still needs to rely on low-market-cap meme coin narratives for market attention, reflecting the intensity of competition among public chains in the AI ecosystem. Overall, market sentiment is optimistic, widely believing that such hackathons will serve as a stress test for the security, usability, and real demand of AI agents.

3. CZ Responds to FUD, Sparking Controversy Over "Selective Clarification"

Binance founder CZ recently published a lengthy article responding to various FUD (Fear, Uncertainty, and Doubt) surrounding Binance, specifically refuting some extreme allegations, such as claims that "Binance was involved in the 10/10 incident." However, the article did not directly address the core criticisms that have garnered higher community attention.

Some community members interpreted this as a defensive strategy: by amplifying clearly untenable claims to weaken or divert attention from reasonable criticism. Other users criticized the highly selective nature of his responses, tending to reply to supporters while avoiding key issues.

Mockery and dissatisfaction continued to ferment in the discussions, with some comments directly pointing out that this communication style undermines the sincerity of public discourse. Overall, the community calls for distinguishing between facts, signals, and emotional venting in a highly noisy environment to prevent the dialogue from further losing focus.

4. Tether Launches MOS Bitcoin Mining Operating System

Tether officially released Mining OS (MOS), an open-source operating system for Bitcoin mining infrastructure, featuring a modular architecture, energy management optimization, and broad hardware compatibility, covering various application scenarios from home miners to industrial-scale mining farms, and supporting peer-to-peer operation without relying on centralized services.

Community reaction is generally positive, viewing the launch of MOS as a symbol of Bitcoin mining infrastructure moving further towards openness and standardization, helping to improve operational efficiency and sovereign control. Some developers have already begun studying the related documentation, looking forward to subsequent actual deployments and performance verification.

From a broader perspective, the market sees this as a signal of the increasing maturity of Bitcoin infrastructure, also indicating that Tether's business landscape is expanding from stablecoin issuance to energy and computing power layer infrastructure construction, potentially enhancing the resilience and risk resistance of the Bitcoin network in the long term.

II. Mainstream Ecosystem Dynamics

1. Solana

During last week's market volatility, the Solana network reached two key milestones: On January 30, it set a new single-day record for activity, processing 148 million non-vote transactions, which the community compared to roughly 130% of Cardano's total historical transaction volume; simultaneously, weekly on-chain activity also hit a record, with transaction volume nearing 1 billion, average non-vote TPS reaching 1505, and described as "close to Ethereum's total transaction volume over the past two years." These data are seen as evidence of Solana's stability and growth momentum under high load, with on-chain fee income also rising alongside increased activity.

The community is generally excited about Solana's "recovery." Supporters emphasize that real usage is driving fee and demand growth, with Solana once again being viewed as a leading chain, and anticipate that chain activity has further room to explode as market sentiment improves. Some developers added that active addresses increased by about 115% week-over-week, with daily active addresses exceeding 5 million, even higher than some Ethereum L2s; discussions about institutional capital回流 (returning flow) and the SOL ETF narrative also emerged.
Controversy mainly centers on transaction quality: critics believe a portion may come from compressed NFTs, short-term speculation, and spam from "pump-and-dump junk." But the overall atmosphere remains optimistic, believing these metrics at least prove Solana has moved past the "dead chain" narrative and will attract more builders to participate, with frequent mentions of the Colosseum hackathon and the upcoming Breakpoint conference.

2. Ethereum

Jordi Baylina published a new proposal on EthResearch, exploring how based rollups with real-time validity proofs can achieve atomic L1↔L2 and L2↔L2 interactions: executing synchronously across multiple rollups via a single transaction, attempting to restore cross-rollup composability as much as possible. The proposal introduces mechanisms like proxy contracts and execution tables, aiming to eliminate the fragmented experience caused by current asynchronous bridging, making cross-rollup calls closer to internal EVM calls, and supporting return values, nested calls, and failure rollbacks.

The community has a high degree of approval for this direction, seeing it as directly addressing the rollup fragmentation issue and helping Ethereum move closer to the unified experience of "one computer." Vitalik Buterin also expressed support for native rollups, emphasizing that with the maturation of ZK-EVMs, it有望 (holds promise) to achieve a withdrawal experience closer to instant in the future, reducing the 2-7 day wait and the centralization risks brought by multi-signature bridging. Developer discussions focus more on engineering and trade-offs: including simplifying the rollup tech stack, reducing centralization exposure (e.g., anchoring sequencing to the Ethereum validator set), and the synergy and boundaries between this exploration and others like MegaETH's real-time execution route and Espresso's coordination layer testnet. Overall views are optimistic, believing that if realized, it would significantly improve cross-domain efficiency for DeFi infrastructure and attract more builders, but a balance between speed and decentralization still needs to be found.

3. Perp DEX

Chris Ling released a CLI tool for Hyperliquid, positioned as an AI agent-friendly trading entry point: supporting the direct deployment of algorithmic trading strategies from backtesting in GT Protocol to Hyperliquid, executed natively;同时 (simultaneously) integrating OpenClaw, providing experiences like real-time monitoring, Telegram notifications, and "gas-free first touch," covering Perp and Spot trading. The community普遍 (widely) interprets this as: Hyperliquid is expanding from a "single DEX product" to infrastructure more suited for agent-based trading.

Discussion sentiment is generally excited. Supporters believe the CLI lowers the migration cost of strategies from simulation to live trading, and agent-based trading is beginning to have a replicable engineering path, while also strengthening Hyperliquid's competitive narrative around speed and transparency. Users further emphasize Hyperliquid's HyperBFT consensus delivering sub-second finality and high throughput capabilities, citing TVL and revenue growth data as endorsement. At the developer level, SDK and automated vault experiences are shared, believing it is forming a decentralized trading benchmark comparable to CEXs. Other viewpoints note that with the advancement of HIP-3 market expansion and ecosystem moves like multi-DEX locking approximately 500,000 HYPE, retail trading volume may further increase, driving larger daily trading volumes.

4. Others

Stablecoin Trading Volume Exceeds $10 Trillion

Community-circulated statistics show: January trading volume broke through $10 trillion, a year-on-year increase of 72%; among which USDC trading volume was about $8.4 trillion, USDT about $13.3 trillion. Total stablecoin market capitalization is about $308 billion, having processed approximately $46 trillion in trading volume over the past year, and was compared in scale to traditional payment networks like PayPal and Visa+Mastercard.

Overall sentiment is positive, with users seeing it as a signal of stablecoin infrastructure maturity, believing it will further promote the expansion of global payments and DeFi; others emphasized that USDC's dominant position in transfer volume sends a market signal of "stronger reliability," and predicted that stablecoins will continue to erode the boundaries of traditional payment networks.

Wintermute Founder Questions Exchange Internal MMs

Another discussion thread comes from Wintermute founder Evgeny Gaevoy. He questioned the professional capabilities of some exchanges' "internal market makers (MMs)," believing their proprietary trading is immature, citing Alameda as a typical negative example;同时 (simultaneously) pointing out that top market makers (Tower/Jump/Optiver, etc.) have no essential difference in capability between crypto and non-crypto markets, whereas exchange internal MMs lack competitiveness.

The community mostly agrees with this, believing internal MMs are more prone to distortion in environments with information asymmetry, with related discussions about Crypto.com also mentioned, further extending to the risks of low liquidity phases combined with high leverage. Overall, mainstream opinion tends to believe market crashes are difficult to attribute to a single exchange, but rather the result of the combined effects of bearish sentiment, leverage structure, and liquidity constraints; at the same time, many are optimistic about the liquidity provision capabilities of institutions like Wintermute, and the support that advancing regulatory legislation provides for the industry's long-term development.

İlgili Sorular

QWhat early cryptocurrency investments was Jeffrey Epstein involved in, according to newly disclosed documents?

AAccording to newly disclosed documents, Jeffrey Epstein invested in Bitcoin infrastructure company Blockstream through a fund managed by Joi Ito in 2014. The documents also suggest he may have indirectly invested approximately $3 million in Coinbase through Brock Pierce's capital network and funded Bitcoin core developers through MIT.

QWhat new product did Tether launch and what is its primary purpose?

ATether launched an open-source Mining OS (MOS), a modular operating system designed for Bitcoin mining infrastructure. Its primary purpose is to optimize energy management, offer broad hardware compatibility for everything from home setups to industrial mining operations, and support peer-to-peer operation without relying on centralized services.

QWhat significant on-chain activity milestone did the Solana network achieve recently?

AThe Solana network set a new record for daily active addresses, processing 148 million non-vote transactions on January 30th. For the entire week, it neared 1 billion transactions with an average non-vote TPS of 1505, signaling high network activity and stability under load.

QWhat proposal did Jordi Baylina introduce to address Ethereum's rollup fragmentation issue?

AJordi Baylina proposed a new mechanism for based rollups using real-time validity proofs. The proposal aims to enable atomic-level L1↔L2 and L2↔L2 interactions through a single transaction, restoring cross-rollup composability. It introduces mechanisms like proxy contracts and execution tables to make interactions more seamless, similar to internal EVM calls.

QWhat criticism did Wintermute's founder level against some cryptocurrency exchanges?

AWintermute founder Evgeny Gaevoy criticized the professional competence of internal market makers at some exchanges, citing their proprietary trading as immature and pointing to Alameda as a negative example. He argued that top market makers like Tower, Jump, and Optiver are competent across both crypto and traditional markets, whereas internal exchange MMs often lack competitive strength.

İlgili Okumalar

Has the 'Digital Gold' Narrative for BTC Failed?

**Title: Has the "Digital Gold" Narrative for Bitcoin Failed?** The article argues that Bitcoin's "digital gold" narrative remains valid despite a recent sharp price decline (from a peak near $126k in Oct 2025 to briefly under $61k in Feb 2026). It presents a long-term investment framework based on three core points: **1. Viewing Bitcoin as an Asset:** Bitcoin is presented as a superior potential store of value compared to gold. Key arguments are its absolute scarcity (21 million cap), superior portability, and transparent auditability via its public ledger. While acknowledging its current use in early, volatile stages (~3-4% global adoption), the author draws parallels to the early, disruptive phases of the internet and e-commerce. **2. Understanding the Recent Downturn:** The current ~50% correction is framed as a predictable, consensus-driven cycle following its post-halving peak (the 2024 halving preceded the Oct 2025 high). A crucial factor is a historic "changing of hands": the influx of new institutional buyers via ETFs allowed early, low-cost holders (miners, OG believers) to take profits. The author notes that while severe, Bitcoin's historical drawdowns (e.g., 93% in 2011, 77% in 2021-22) have been progressively smaller, suggesting maturing holder structure and decreasing volatility over time. **3. The Long-Term Perspective:** The long-term thesis hinges on Bitcoin capturing a portion of gold's market value. With Bitcoin's market cap at ~$1.4 trillion (at $70k) versus gold's ~$20 trillion, significant upside potential exists if the "digital gold" narrative is partially realized. However, the author strongly cautions that short-term risks remain, the bottom is unpredictable, and high volatility is inherent. The real risk is not Bitcoin failing but poor personal position management (over-leverage, wrong capital) and a lack of deep understanding, which can force investors out during severe downturns. The conclusion uses Amazon's 95% crash post-2000 dot-com bubble and subsequent 42x recovery as an analogy. The ultimate question is not if Bitcoin's price will rise, but if an investor's strategy and conviction can withstand the volatility to see the long-term play out. The recent divergence (gold up, Bitcoin down) is posed not as a narrative failure, but as potential evidence of this ongoing, painful transition from a speculative asset to a mainstream allocation.

marsbit2 saat önce

Has the 'Digital Gold' Narrative for BTC Failed?

marsbit2 saat önce

Has BTC's 'Digital Gold' Narrative Failed?

The article discusses Bitcoin's "digital gold" narrative, its recent price drop, and long-term outlook through the perspective of "Jason". It argues the narrative is not a failure but that Bitcoin represents a superior, new asset class due to its fixed supply (21 million), portability, and auditability. The piece compares its current ~3-4% global adoption rate to early internet/e-commerce, suggesting significant growth potential. Regarding the 2025-2026 price decline (from ~$126k to briefly under $61k), the author views it as a predictable, consensus-driven sell-off within Bitcoin's ~4-year cycle post-halving, exacerbated by a major "handover" from early, low-cost holders to new institutional buyers via ETFs. A key observation is that historical peak-to-trough drawdowns have lessened over time (e.g., 93% in 2011 to ~50% in 2026), indicating maturing volatility as holder structure changes. For the long term, the author uses a simple framework: Bitcoin's total market cap (~$1.4T at $70k) is only about 7% of gold's (~$20T). Even capturing 30-50% of gold's value would imply substantial upside. However, the article strongly cautions against viewing this as investment advice, emphasizing extreme volatility and the critical importance of risk management, position sizing, and deep fundamental understanding to survive severe drawdowns. It concludes by drawing a parallel to Amazon's 95% crash in 2000 and subsequent 42x recovery, stressing that the key is surviving market cycles to realize long-term potential.

链捕手2 saat önce

Has BTC's 'Digital Gold' Narrative Failed?

链捕手2 saat önce

From Code to Cognition: A Ten-Thousand-Word Guide to the Evolution of the Robot Brain

"From Code to Cognition: The Evolution of Robot Brains" The journey of robotic intelligence has shifted dramatically from manually coded systems to AI-driven brains. For decades, robots relied on layered software stacks—perception, state estimation, planning, control—each handcrafted. While predictable, they lacked adaptability. The 2010s saw deep learning revolutionize perception (e.g., object detection) and control (via reinforcement learning), but learned skills remained narrow. The arrival of Large Language Models (LLMs) marked a turning point. LLMs acted as high-level planners, interpreting natural language instructions and generating sequences of actions for traditional robotic systems to execute. However, true integration came with Visual-Language-Action (VLA) models, which fused vision, language, and motion prediction into a single network. Pioneered by models like RT-2 and open-source projects like OpenVLA, VLAs enable robots to reason and act directly from visual input and commands. The most advanced humanoid robots now employ a "dual-brain" architecture: a slow-thinking, large VLA (System 2) for reasoning and planning, and a fast-reacting, small network (System 1) for high-frequency motion control, sometimes with an even lower-level System 0 for balance. This split balances cognition with the physics of real-time movement. Computation is split between onboard hardware (e.g., NVIDIA Jetson) for safety-critical control loops and cloud/edge servers for non-critical tasks like learning and interfaces. A crucial driver is the open-source ecosystem—models like GR00T and OpenVLA allow startups to build upon pre-trained brains and fine-tune them with their own data, accelerating development. Despite progress, current systems struggle with recovery from errors, sample inefficiency, and long-horizon tasks. This has spurred the rise of **World Models**—neural networks that predict the consequences of actions. By simulating possible futures before acting (like NVIDIA Cosmos or Meta V-JEPA), robots can plan, recover, and generalize better. This represents the next frontier: shifting intelligence from learned reactions to an internal model of physics and cause-and-effect. The field is rapidly evolving. While not yet at its "ChatGPT moment," the convergence of cheaper hardware, scalable simulation, and world models points toward robots that are increasingly capable, adaptive, and useful. The question is shifting from "what can robots do?" to "what *should* they do?"

marsbit3 saat önce

From Code to Cognition: A Ten-Thousand-Word Guide to the Evolution of the Robot Brain

marsbit3 saat önce

AI Bubble Is Bursting

The AI Bubble is Bursting: A Necessary Purge on the Path to Ubiquitous Intelligence Market volatility has reignited debates about an AI bubble, with figures like Ray Dalio pointing to high valuations. However, this parallels the dot-com bubble, which, despite its crash, laid the physical infrastructure for today's internet era. The current AI investment frenzy, with tech giants planning trillions in infrastructure spending far outstripping current AI application revenues, appears similarly imbalanced. This 'bubble' is seen as an inevitable phase for a disruptive technology, paying the "innovation tax." Critically, AI inference costs have plummeted over 99.7% since 2023, making intelligence nearly free at the margin. This hasn't reduced spending but has instead unlocked massive new demand, as seen in enterprise AI cloud expenditure tripling. This follows the Jevons Paradox: efficiency gains lead to greater total consumption. The market is now entering a cleansing phase, weeding out speculative ventures lacking real moats. The deeper shift is a move from capital expenditure (CapEx) on hardware to value creation in operational expenditure (OpEx) through AI applications that solve real industry problems. While infrastructure valuations are high, rapid earnings growth from widespread AI adoption across sectors—from manufacturing and finance to law and healthcare—may digest these valuations over time. Ultimately, this creative destruction will leave behind robust infrastructure and optimized models, cheaply powering an AI-augmented future for all industries, much as the internet became indispensable after its own bubble burst. The core productive potential remains undiminished.

链捕手3 saat önce

AI Bubble Is Bursting

链捕手3 saat önce

İşlemler

Spot
Futures
活动图片