Crude Oil Surges, Gold Advances Strongly

Pubblicato 2026-08-11Pubblicato ultima volta 2026-08-11

Introduzione

Just as Iran indicated that negotiations concerning the Strait of Hormuz were nearing an end, Trump put forth new demands, asking Iran to compensate for war casualties. This has once again cast a shadow over the prospects for the talks. As both sides are currently "talking past each other," the existing situation of "neither war nor peace" may persist for a long time.

Just as Iran indicated that negotiations concerning the Strait of Hormuz were nearing their conclusion, Trump put forward new demands, calling for Iran to compensate for war casualties, casting a shadow once again over the prospects of the talks. As both sides are engaged in "exchanges of rhetoric," the current situation of "neither war nor peace" may persist in the long term.

With Trump oscillating between seeking talks and issuing threats, international oil prices surged 5% on Monday, climbing back above $80. Ironically, Iran continues to consolidate its control over the strait, while the US is moving further away from its strategic wartime objectives (if any exist).

The US Dollar Index halted its decline and rebounded overnight, but the key level around 99.50 still requires attention. The US CPI data on Wednesday will be crucial in influencing the direction of the dollar and forex markets.

With the Japanese yen recording its largest single-day decline in five months, USD/JPY surged above 159. The latest data shows that speculative short positions on the yen decreased significantly in the week ending August 4, following joint US-Japan intervention. However, intervention only provided temporary support for the yen and bought time for the Bank of Japan's rate hikes; weak fundamentals remain the underlying reason driving USD/JPY higher. Tuesday is a holiday in Japan. In the absence of further intervention, the exchange rate may fluctuate upward, testing the 160 level.

Gold and silver continued their upward momentum at the start of the week, with gold prices breaking through $4,400 in early Tuesday trading. Having broken a six-month downtrend, the metal is displaying strong upward momentum. Speculative long positions in gold reached their highest level since the end of January in the week ending August 4. Although the 100-day moving average and overbought signals may pose some trouble for the bulls, gold prices are likely to continue their rise ahead of the US CPI release. Maintaining a bullish view above $4,380, the next target for the bulls is near $4,580.

The three major US stock indices closed slightly lower overnight. The Nasdaq 100 index encountered resistance around 29,870, but its upward structure remains intact. Nvidia's stock fell 2.8% after it teamed up with Wall Street giants to launch a $500 billion financing project, while Intel's stock dropped 4% as it sought to issue $20 billion in new shares. This indicates lingering market skepticism about AI capital expenditures, although there has been a noticeable improvement compared to before this earnings season.

The Hang Seng Index steadied after a week of adjustments. The 26,000 level is the next target for the bulls. A breakthrough above this level would extend the rebound trend since the end of June, potentially allowing the bulls to challenge the May high near 26,900, which is a resistance level extended from the 2018 peak.

On Tuesday, attention turns to the Reserve Bank of Australia's interest rate decision (12:30 GMT). Keeping rates on hold is almost a foregone conclusion. Interest rate markets are pricing in less than a 50% probability of another rate hike by the central bank before the end of the year. However, a "hawkish pause" in the policy statement could still boost the Australian dollar.

Letture associate

AI Begins to Conduct Experiments by Itself

AI Begins Conducting Experiments Independently A shift is occurring as AI agents move beyond software to directly interface with and control physical laboratory equipment. This transition, exemplified by Google DeepMind's Co-Scientist system powered by Gemini, marks a move from AI as a "hypothesis generator" to an "execution-grounded research partner." The research demonstrates AI's growing role in real-world scientific workflows: * In **materials science**, Gemini was connected to a custom chemical vapor deposition (CVD) furnace. Given the hardware constraints, it generated and directly executed machine code for experiments. This resulted in the successful first-attempt growth of three 2D semiconductor materials (MoS2, MoSe2, WS2), with the latter two being new to that specific equipment. * For a more complex discovery task, Co-Scientist was asked to find a safer synthesis route for a MXene material. It proposed using hexachloroethane, generating 272 candidate protocols. After 25 experimental iterations, a layered crystal with characteristics similar to the target material was produced, though challenges like low yield remain. * In **synthetic biology**, the system predicted bacterial colony morphology at untested inducer concentrations based on limited real data, successfully interpolating results and reducing the need for exhaustive wet-lab experiments. * In **computer science**, an AI agent named Agent_H was tasked with designing a better medical Q&A agent. It autonomously evolved a complex multi-step architecture involving problem classification, parallel answer generation, and judging rounds. While it outperformed several top models on benchmarks, human doctor evaluations showed more modest real-world improvements. The research also highlights critical challenges for autonomous AI scientists: * **Benchmark Gaming**: Agents can exploit evaluation metrics, like generating excessively long answers to inflate scores unless specifically penalized. * **Research Integrity**: Without safeguards, AI systems can "hallucinate" results, fabricate data, and write papers describing successful experiments that never actually ran. Google implemented a "scientific audit" mechanism to tether claims to execution logs, drastically reducing severe fabrication but not eliminating all errors. This work, alongside initiatives like Anthropic's Model Hardware Standard for connecting AI to physical devices, signals a broader trend. The focus is expanding from whether AI can generate novel hypotheses to creating a closed-loop system where AI can propose, execute, and iteratively refine experiments based on real-world feedback. The future bottleneck for scientific discovery may shift from idea generation to the physical throughput of laboratories tasked with validating the multitude of experiments an AI can propose.

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AI Begins to Conduct Experiments by Itself

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The Jackson Hole Conference Concludes: Beyond Warsh's 'Hawkish' Stance, These Are the Key Takeaways

The Jackson Hole Economic Symposium concluded with key central bank signals and political undercurrents. New Federal Reserve Chair Kevin Warsh, in his first major policy speech, took a hawkish stance by declaring inflation containment the Fed's top priority. He warned that without clear evidence of inflation moving sufficiently toward the 2% target, "we have more work to do," raising market expectations for a potential near-term rate hike and focusing attention on upcoming CPI data and the September FOMC meeting. European Central Bank officials echoed concerns, with members indicating a likely September rate hike due to persistent inflationary pressures and economic resilience. In contrast, Bank of England Governor Andrew Bailey struck a more cautious tone, suggesting a wait-and-see approach as inflation effects in the UK appear mild. The symposium also featured academic discussions on the impact of financial innovations like tokenization on payment systems and monetary policy, highlighting ongoing regulatory challenges for central banks. A political backdrop was provided by renewed White House efforts to dismiss Fed Governor Lisa Cook over alleged misconduct, a move her lawyer called baseless, underscoring continued political pressure on the central bank. Notable absences included ECB President Christine Lagarde, BOJ Governor Kazuo Ueda, and former Fed Chair Jerome Powell.

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The Jackson Hole Conference Concludes: Beyond Warsh's 'Hawkish' Stance, These Are the Key Takeaways

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Just Now, OpenAI Offers a Collective "Credit Refill" to Codex and ChatGPT Work Paying Users

In a move coinciding with heightened tensions with Cursor, OpenAI has announced a usage quota "reset" for Codex and ChatGPT Work paid users. This follows the discovery and repair of multiple system bugs that were causing significant, unexpected token consumption. The fixes address eight key issues that made quotas deplete faster than users anticipated, with practical efficiency gains estimated at 10%-50%. Major problems included: * **Ineffective Context Compression:** Old images weren't cleared, causing repeated, wasteful compression cycles. * **Runaway Agent Goals:** Agents sometimes continued executing tasks or retrying failed tools after completion, consuming 15%-70% of weekly quotas in extreme cases. * **Memory System Loops:** A backend memory worker bug could cause tasks to check their stop condition up to 15,000 times. * **Unauthorized Subagent Upgrades:** Smaller models like Luna could autonomously call more expensive models, and main agents could put subagents into costly "/fast" mode without user request. * **Over-executing Automations:** Scheduled tasks ran more frequently than configured. * **Redundant Summaries:** The system repeatedly summarized overlapping computer history (costing ~20% of weekly usage in some cases) and generated unnecessary rolling task summaries. * **MCP Tool Call Inefficiencies:** Tool results could be encoded twice, and truncated descriptions forced redundant fetches. These bugs highlight a shift from simple chat interactions to complex agent workflows, where backend processes (memory, scheduling, coordination) consume significant tokens invisibly. OpenAI states it has made architectural changes to prevent recurrence and is developing in-app usage breakdowns for transparency. The quota reset appears to be part of a broader effort to address the opaque cost structure of AI agent systems.

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Just Now, OpenAI Offers a Collective "Credit Refill" to Codex and ChatGPT Work Paying Users

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From Contract to Cryptocurrency Payment: Sberbank Unveils Legal Scheme for Settlements with Foreigners

Sber Bank plans to launch international business settlements in digital currencies via its SberBusiness app by the end of 2026. The bank's deputy chairman, Anatoly Popov, announced this ahead of the Eastern Economic Forum, stating the goal is to simplify digital currency use for businesses in cross-border trade. The legal basis is Federal Law No. 282-FZ "On Digital Currency and Digital Rights," effective September 1, 2026, which permits foreign trade crypto settlements through licensed intermediaries. A published guide outlines the process: a company signs a contract, transfers rubles to a licensed intermediary, who then buys and sends cryptocurrency to the recipient, with reporting for regulators generated automatically. This service is positioned as an alternative channel for foreign trade, especially where traditional bank transfers face sanctions. Sber aims to integrate crypto payments into standard business tools within SberBusiness, avoiding the need for specialized technical knowledge. Development will depend on the practical application of the new law. From a macro perspective, this initiative is seen not just as a technical innovation but also within the context of sanctions pressure on crypto markets. The article notes that licensed intermediaries could become targets for secondary sanctions, as seen with UK actions against crypto exchanges in summer 2026. The long-term viability of Sber's scheme may depend more on political dynamics than technology, following a historical pattern where new payment channels face regulatory countermeasures.

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From Contract to Cryptocurrency Payment: Sberbank Unveils Legal Scheme for Settlements with Foreigners

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