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Evernorth completed the SPAC merger and listed 473 million XRP on Nasdaq, while Bitdeer maintains zero holdings with a weekly production of 300 BTC

According to BBX data, last weekend, global U.S. stock-listed treasury and mining companies released their latest accounts regarding asset reserves, reverse mergers, and liquidity management. The core updates are as follows:Evernorth completed its SPAC merger holding 473 million XRP, scheduled to debut on Nasdaq under the code "XRPN" on October 12: The treasury company Evernorth Holdings officially announced the completion of its business combination with the special purpose acquisition company Armada Acquisition Corp. II. At the time of the transaction's closing, the company’s treasury held approximately 473 million XRP and successfully raised about $300 million in total cash proceeds (before transaction costs). The newly merged company's common stock is expected to officially trade on Nasdaq starting October 12, with the ticker symbol "XRPN".Bitdeer (NASDAQ: $BTDR) disclosed the latest weekly mining data, producing 300.6 BTC and fully liquidating: Nasdaq-listed Bitcoin mining company Bitdeer announced its latest Bitcoin holdings data. As of the week ending October 9, its self-operated Bitcoin mining output was 300.6 BTC, and during the same period, it fully sold 300.6 BTC in the secondary market, resulting in a net addition of 0 BTC for the week. The balance sheet continues to implement a liquidity strategy of immediate sales, currently maintaining a zero Bitcoin holding.

first_img Grayscale Research Director: Cheaper Proxy AI Will Drive Up Computing Power Demand

Grayscale's Research Director Zach Pandl stated in his column The Stack on October 8 that the rising demand for AI is due to decreasing usage costs and technology's ability to perform tasks more autonomously, thereby increasing the demand for computing power and the physical infrastructure that supports AI. Lower costs can unleash more AI activities, and the low-cost competition of open-source weight models is driving down token prices, making cheaper intelligence economically viable for more applications and automated workflows.The article cites that Anthropic's latest Sonnet model claims to reduce the cost of each task by up to 30%; OpenAI's always-on agent dots, launched on September 29, can work towards user goals around the clock, potentially significantly increasing the demand for computing power. Pandl compares that chatbots primarily answer questions, while agents execute multi-step processes to achieve goals, with tasks like preparing for client meetings potentially consuming 5 to 50 times the tokens of a single chat interaction, and always-on agents may extend processing beyond a single conversation.Pandl cites Goldman Sachs' prediction that by 2030, token consumption could increase 24 times, primarily driven by agents; even with improved efficiency, if usage grows faster, the total demand for computing power may still rise. He points out that digital activities still rely on physical infrastructure that requires time to deliver, such as electricity, data centers, and GPUs, and cheaper AI can coexist with tight computing power supply, mentioning that CoreWeave recently signed new contracts at higher computing power prices. His conclusion is that cheaper intelligence and stronger agents may expand use cases and usage enough to offset efficiency gains, thereby supporting the demand for scarce computing power and benefiting its owners.

Papertrade responds to concerns about price manipulation and protocol vulnerabilities: the relaxed position limit in the early stages of launch is the cause, and parameters have begun to tighten

Papertrade's official response to the allegations of price manipulation and the existence of obvious loopholes in the protocol states: It has never been possible for small orders to have the same priority as large orders. If this were done, the front end would suffer from congestion due to junk trading, and the consequences would be much worse than the existing queuing mechanism.Under these constraints, we have designed the fair launch to be as inclusive as possible.Last night, the attempts to manipulate BTC/ETH on Hyperliquid BBO were not due to flaws in the mechanism that took six months to design. These situations had already been considered; it was only because the position limits were set very loosely in the early stages to cope with congestion that such occurrences were possible. If position limits were set during peak demand for launching, it would only exacerbate the slow experience, and the queuing mechanism itself, due to the uncertainty of opening/closing confirmation times, naturally provides protection against manipulation.As congestion eases, we have begun to tighten position limits on-chain and at the relay level. In such a system, manipulation attacks are always possible— the key is whether the attempt is economically viable. The official goal is to set parameters to a point where it is almost never profitable; even if successful, the tail risk is extremely high, and the expected value is negative.
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