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Copper: data centers, power grids, and electric cars all run on it. A single large AI campus can need up to 50,000 tonnes on its own, ~50% of what a big copper mine produces in a year. But for the first time since 2017, the world's copper mines are set to produce less than the year before.
Source: IvanjBebek (X)
These WSJ graphs explain a lot about France's current meltdown.
Source: AlecMacGillis (X)
OpenDesign benchmarked Kimi K3.1 Pro on real-world design tasks based on user requests. It ranked #1 among 21 models, narrowly beating GPT-6.1 Sol, with a 93% delivery rate, but at a higher cost and with longer waits
Source: OpenDesignHQ (X)
The AA-Intelligence Index has been updated to V5 - Kimi, and Muse Wonder has been replaced with GPT6 Astra and Sol
Rankings Before:
1. Claude Opus 5.5 (Max) - 58
2. Claude Sonnet 5.5 (Max) - 56
3. Muse Wonder Full (Max)- 56
4. Kimi K3.1 Pro - 55
5. Claude Fable 5.1 (Max) - 53
Rankings now:
1. Claude Opus 5.5 (Max) - 58
2. GPT-6-Astra (Max) - 57
3. GPT-6.1-Sol (Max)- 55
4. Claude Sonnet 5.5 (Max) - 54
5. GPT-6.1-Terra (Max) - 51
According to OpenAI, this is how people are using AI at work
Source: 0xZakk (X), quoting OpenAI report
OPINION: The most interesting stat is revenue per dollar of compute. In Q1'25, Anthropic brought in $0.40 of revenue for every dollar it spent on compute. By Q2'26, that was $2.08. Quarterly revenue hit $11.6B, up 14.7x Y/Y, while compute and infrastructure costs grew 4.0x to $5.6B. Compute went from 177% of revenue to 48% in a year!
This efficiency helps explain the huge bet Anthropic seems to be making: the company has signed roughly $830B in compute commitments running out to 2036.
Meanwhile, RPO is $10.8B, with about 75% due within 12 months, and nearly half of revenue comes through cloud marketplaces. The commitments stretch out a decade, but most of the revenue Anthropic can see is due within a year.
They’re betting revenue keeps outrunning compute costs, and so far it is. It also shows where the margin in AI infrastructure is headed. The hyperscalers turn megawatts into GPU hours and sell them on long-term contracts. That locks in revenue, but it also caps it. The labs take on the commitments and keep the value they create by turning those hours into high-value tokens
Announcing Artificial Analysis Intelligence Index v5, featuring 2 new benchmarks and 3 upgrades. For the first time, the majority of the Index is built on private datasets The Artificial Analysis Intelligence Index is our composite measure of model capabilities across tasks
Key results:
➤ Claude Opus 5.5 (max) leads at 58, ahead of GPT-6 Astra (max, 57) and GPT-6.1 Sol (max, 55): Anthropic and OpenAI hold the top five models. Gemini 4 Argon (high) is next at 50
➤ The open weights gap widens from 3 points to 12: Kimi K3.1 Pro (weights not yet released) is the top open weights model at 46. Among released weights, DeepSeek V4.1 Flash 1017 (max) and GLM-5.3 (max) lead at 32 - 26 points behind the leader and below Claude Haiku 5.5 (max, 36)
➤ Cost per task varies by more than 13x among the leading models: of the 10 highest-scoring models shown, GPT-6.1 Terra (max) is the cheapest at $0.96 per Intelligence Index task and Claude Fable 5.1 (max) the most expensive at $13.04
Partial results show Netanyahu’s bloc in the lead
As we’ve been reporting, more than 2.1 million ballots have now been counted in Israel. According to the Times of Israel, partial results with nearly 42 percent of ballot boxes counted give Netanyahu’s bloc 57 seats and Eisenkot’s alliance 47. They also give the Arab-led parties 16 seats. Exit polls published earlier predicted between 51 and 52 seats for Netanyahu’s coalition, and between 49 and 51 seats for Eisenkot’s bloc.
US-Friendly Nations Slash Treasury Purchases by 60%, Led by Asia
Note: Excerpted from the original article: US-Friendly Nations Slash Treasury Purchases by 60%, Led by Asia
Countries and regions most aligned with the US bought a net $174.3 billion of Treasuries in the first eight months of 2026, the lowest level since 2021 and down more than 60% from the prior year.
The shift is noteworthy in Asia, where economies running large surpluses are putting less of that money into US debt, with Japan, South Korea, and Taiwan being net sellers or buying significantly less than before.
The US government's debt pile has climbed past $40 trillion, leaving the world's largest economy more reliant on investors to fund its spending, and with yields rising in other markets, global investors have more alternatives to Treasuries than they once did.
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Gnosly Live Signals | AI is getting cheaper
At a given level of performance, cost has fallen ~47%/quarter since 2023.
Gnosly Live Signals - China is seeing a historic boom in exports due to AI.
China outsmarts the world - Source The Kobeissi Letter