Bitcoin has risen about 22% over the past seven days and was trading near $80,000 after briefly reaching the low $80,000s intraday. Much of the market has tied the move to talk of a $1 trillion Treasury liquidity injection, but the commitment on the table is narrower than that headline suggests. What the U.S. Treasury has actually announced is an increase in long-end bond buybacks to at least $4 billion per operation, effective from Sept. 9 through Nov. 4. The larger purchases have not started yet. The roughly $1 trillion figure refers to the Treasury General Account, the government’s cash balance at the Federal Reserve, which stood at about $936 billion on Aug. 19. That money is available to Treasury Secretary Scott Bessent if he chooses to use it, but it has not been transferred into markets. In the latest operation, dealers offered nearly $20 billion of bonds and the Treasury bought its full $2 billion limit. Unchained notes that the rally came before any expanded buyback had been carried out. The report also points to comments Bessent made on CNBC, where he said the operations could exceed $4 billion per issue, added that the Treasury has a large toolkit, and remarked, 「I have asymmetric information. What do I know that the market doesn’t know?」 CNBC later reported on Aug. 24 that officials were weighing the use of that cash balance.

Inner Mongolia’s Ulanqab is emerging as one of China’s key AI data center hubs, according to a WIRED report cited by ABMedia. Goldman Sachs research cited in the report says nearly 100 data centers have either opened or entered construction there since 2016, with Chinese companies committing projects totaling an estimated 12.5 gigawatts of capacity. More than 70% of that planned buildout was announced in the past year. That announced capacity exceeds OpenAI’s Stargate on a like-for-like basis. OpenAI has outlined Stargate as a long-term project with total planned investment of $500 billion and about 10GW of capacity once fully built. On that comparison, Ulanqab’s 12.5GW is roughly one-quarter higher. The report says DeepSeek, ByteDance, Alibaba and Xiaohongshu are all putting data center infrastructure into the region. It attributes Ulanqab’s rise to three factors: lower power costs, naturally cold weather that can cut cooling demand, and proximity to Beijing. After two dedicated fiber links were built in 2017 and 2019, average network latency reportedly fell below 5 milliseconds, making the city suitable not only for AI training workloads but also for inference tasks that need real-time data exchange.

ChainCatcher, citing Binance spot market data, reported sharp price swings across several tokens. ACE posted a 24-hour gain of 30.92%, while ADA rose 10.75% and reached a new high for the day. STORJ and BB both showed rebound patterns after earlier weakness, with 24-hour gains of 12.43% and 23.3%, respectively. On the losing side, ALICE, BIO, TST, RED and MUBARAK all showed a pullback after earlier gains. Their 24-hour declines were 5.77%, 10.68%, 6.48%, 12.19% and 23.4%, respectively. The move points to broad intraday volatility in Binance spot trading.

The U.S. 30-year Treasury yield climbed to 5.33% on Aug. 18, its highest level since June 2007, while the 10-year yield approached 4.75%, also near the top of this year’s range. In a historical backtest built on public FRED data, BlockTempo examined how the S&P 500 performed after Treasury yields broke above their highest level of the prior 36 months. The results were mixed in the near term and much stronger over a one-year horizon. For the 10-year yield, there were 10 qualifying signals since 1985. The S&P 500 posted an average return of -1.1% three months later, with seven of the 10 cases ending lower, versus a full-period benchmark of +2.5%. Twelve months later, the average return improved to +11.8%, with nine gains out of 10, roughly in line with the +10.6% benchmark. The 30-year yield produced only six such signals since 1985, with July 2026 marked as the latest live sample. Across the five completed cases, the S&P 500 averaged 0.0% after three months and +10.8% after 12 months, with all five one-year outcomes positive. The report also said rising debt totals alone had little predictive power for equities, while the reason behind higher yields mattered more, especially when moves were driven by inflation or fiscal concerns rather than growth.

ChainCatcher, citing Binance spot market data, reported sharp moves across several tokens. ALICE fell 31.56% over the past 24 hours, while KAITO was down 47.91% for the week. On the upside, RED and YB each hit fresh intraday highs, posting gains of 5.76% and 6.51%, respectively. On the downside, BICO touched a new daily low with an 18.62% decline. KAIA and ACE also fell to new weekly lows, down 9.2% and 55.4%. LISTA and THETA were also described as having surged and then pulled back, with losses of 6.95% and 6.5%. The moves point to heightened volatility in the Binance spot market, according to the data cited in the report.

Binance spot market data showed broad volatility across several tokens, according to a ChainCatcher market update. VIC posted the steepest 24-hour drop in the group, falling 18.22%, while GPS was down 17.35% over the same period. The report also noted pullbacks in PROM, PIVX, RED, and 2Z after earlier gains, with declines of 6.44%, 8.63%, 9.9%, and 9.9%, respectively. MTL also hit a new weekly low and was down 10.15%. On shorter time frames, the moves were more mixed. ACE and SNXXB each recorded a 3.18% gain within five minutes, while HEI slipped 3.35% over the same interval. The figures cited in the update were based on Binance spot data and reflect a session marked by sharp price fluctuations across multiple assets.

Jiahui Yu, a core researcher in Meta’s superintelligence effort, has announced that he is leaving the company to start a new venture. Yu joined Meta in late June 2025 and disclosed his departure on August 14, 2026, ending a stint of a little over one year. His personal website has already been updated to reflect the change. The move comes only days after Meta released Muse Spark 1.2, the latest update in a product line developed by the team Yu helped build. In his public statement, Yu said working with CEO Mark Zuckerberg and Meta Chief AI Officer Alexandr Wang to build TBD Lab had been 「inspiring and fulfilling」. He also referenced a question he described as highly important to humanity yet still underexplored, saying it would now receive his full attention. He did not disclose the name of the new company, its research agenda, or any co-founders, adding only that there would be more to share as the work takes shape. Yu was one of the most watched names in Meta’s AI hiring push, during which reports and public comments fueled speculation around compensation packages at the $100 million level. While Meta executives later said such figures did not apply broadly and could reflect stock, bonuses, tenure, and performance conditions, Yu remained closely associated with that recruitment wave. Before Meta, he worked at Google Brain and OpenAI and contributed to projects including Gemini, GPT-4o, and GPT-4.1.

Bitcoin security researchers, company founders, and policy advocates are publicly warning that restrictions on leading U.S. AI systems are making legitimate defensive cybersecurity work harder, while Chinese open-source models are producing usable results. Rob Hamilton of AnchorWatch said OpenAI blocked him from analyzing a codebase he had already responsibly disclosed, even after he joined the company’s trusted cyber program and had completed KYC months earlier. He later said he was cut off again within 19 minutes after receiving access to OpenAI’s Daybreak Blue cyber model. Francis Pouliot of Bull Bitcoin said Chinese open models helped identify and patch a money-stealing exploit in a project he was auditing, while American models he pays for refused to review the same patch. Similar complaints came from Bitcoin Core contributor PortlandHODL and Galaxy research head Alex Thorn, who backed a Bitcoin Policy Institute open letter calling for trusted access to frontier AI models for qualified open-source defenders. Published on August 10 and signed by more than 70 digital-asset organizations, the letter asks AI labs for early access to cyber-capable systems, enough compute, secure code-review environments, and direct contact with lab security teams. The pressure intensified after a Coldcard firmware flaw, exploited from July 30, led to the theft of well over $100 million in bitcoin. Since then, the volunteer Bitcoin Red Team says it has scanned 501 projects and logged 7,958 findings, including 1,280 high or critical issues, with most compute spend going to Chinese open-weight models.