
This weekly covers global payments developments from November 2–8, 2026, centered on the divergence between stablecoin usage and outstanding supply: Circle's Q3 USDC on-chain transaction volume rose 49% year over year to $13.9 trillion, yet circulating supply was flat at quarter-end and reserve income fell 8%. Nigeria's central bank now requires dollar stablecoins to be issued through locally licensed entities, Hong Kong's HKMA upgraded EnsembleTX to 24/7 settlement, and Binance disclosed an incident affecting roughly $6.34 billion in assets. The report examines how issuers are shifting revenue models from reserve interest to payment network fees and offers action recommendations for traditional payment providers and crypto payment firms.
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This article looks at Qingdao-based semiconductor equipment company Sirui Intelligent, which is pursuing an IPO on the STAR Market. The company makes atomic layer deposition and ion implantation equipment, putting it in the same league as NAURA and Piotech. It has lost over 1 billion yuan cumulatively from 2023 through the first half of 2026 and expects to break even no earlier than 2029. Its largest shareholder is CRRC Sifang Institute. The article also examines the global semiconductor equipment market, the competitive landscape, and risks such as fluctuating gross margins and high inventory levels.
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This article revisits the October 29, 2026 Binance breach, in which roughly $6.3 billion was drained in about 20 minutes—the largest theft in crypto history. The entry point was an engineer's computer compromised through a fake job-interview attack. Binance later restored 98% of assets using its own funds and resumed withdrawals. The piece lays out six major self-custody risks: willingly handing over seed phrases, seed phrase leaks, signature phishing, wrench attacks, address poisoning, and device failure. It stresses that "not your keys, not your coins" is about control, not safety, and that the real question is who can make you whole after a theft. It recommends diversifying across exchanges, self-custody, and ETFs.
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Bitcoin fell to $68,000, its lowest level in three months, slipping below the $70,000 mark. The article notes that capital tied to AI has not flowed back into the crypto market, pointing to short-term pressure and weak liquidity. It is a brief market update and includes a platform disclaimer and related reading recommendations, with no specific projects or regulatory details.
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This edition of RWA Weekly covers November 6–13, 2026. Total on-chain RWA market cap dipped slightly to $39.84 billion, with holders rising to 5.73 million. Stablecoin market cap fell to $279.15 billion, though monthly transfer volume rose 29.71% month-over-month. On the regulatory front, the U.S. Treasury plans to require stablecoin issuers to conduct bank-grade due diligence; the ECB is recruiting members for a tokenization standards panel and warning of risks from delays to digital euro legislation; and New Zealand and Thailand have both introduced stablecoin regulatory drafts. On the industry side, the NYSE has selected Avalanche to settle tokenized stocks, while OKXICE, Kraken parent Payward, and DTCC are accelerating their tokenized securities efforts. Goldman Sachs, Citi and others have committed roughly $270 million to a joint stablecoin project, and Securitize plans to acquire River One.
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Anthropic hasn't filed for an IPO, but its Pre-IPO perpetual contracts have sparked cross-exchange arbitrage in crypto markets. Binance quotes $1,700 using a 1 billion-share denominator, while Hyperliquid's Trade.xyz quotes roughly $110 per share—a notional spread of over 15x. Traders go long on the cheap platform and short the expensive one while matching share counts to profit from spread convergence. The key disagreement: whether exchanges use issued shares or fully diluted shares. After Anthropic's S-1/A disclosed about 13.087 billion shares, OKX was first to rebase at a 1.3116 ratio, and the spread quickly narrowed to about 1%, essentially closing the arbitrage window.
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This article examines the limits of "first principles" thinking in AI startups, arguing that this approach—rooted in physics reductionism—works well for hardware but breaks down when applied to complex systems like software and business ecosystems. Drawing on examples such as OpenAI, ByteDance, and Tencent, the author calls for a shift toward complex adaptive systems thinking: finding ecological niches, co-evolving, and embracing emergence. Considering China's unique constraints around policy, supply chains, and data ecosystems, the piece proposes a pragmatic path centered on minimum viable ecosystem units and iterative feedback.
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This article examines the multiple factors behind Bitcoin's slide below $70,000: Jensen Huang's resignation as a catalyst, compounded by hotter-than-expected US CPI fueling macro tightening expectations, rising odds of Fed rate hikes, over $1.4 billion in consecutive net outflows from US spot Bitcoin ETFs, a $14.2 billion contraction in stablecoin supply over 30 days, and three crypto treasury companies—including Strategy—being removed from MSCI indexes. It also rounds up divided views from institutions and traders on whether to buy the dip, with near-term caution prevailing but longer-term bulls still making their case.
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Drawing on second-by-second Polymarket API data, this article analyzes how quickly prediction markets reacted to reports of Nvidia CEO Jensen Huang's resignation. Contract prices jumped within seconds to two minutes of articles appearing in The New York Times and The Wall Street Journal, and roughly 31 seconds after the press release on the Nvidia CEO transition, the market had largely absorbed the news and climbed above 90%. Traders also bet on whether a third extramarital affair would be disclosed, with moves tracking X reposts almost in lockstep and fully pricing in the news even before Reuters published it. The article argues that prediction markets rapidly incorporate reported information into binary option pricing.
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Two hours after Anthropic rolled out Claude Fable 5.2, jailbreak hacker Pliny breached Claude Code and dumped roughly 950,000 characters—7,832 lines—of system prompts and tool definitions onto GitHub. The leak reveals 128 built-in tools and 44 skill sets covering everyday tasks like reservations, expense reports, and prescription refills, along with strict guardrails: local delete commands are locked by default, and stock trading, money transfers, and password autofill are refused even with user consent. It also exposes Anthropic's deliberate weakening of kernel-optimization capabilities during training to stop rivals from using Claude to train their own models, plus an internal Mythos tier reserved for trusted institutions.
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