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Data center expansion has sparked local opposition across the United States, making it a key issue in the 2026 midterm elections.

According to a report by The Verge on October 27, 2026, communities across the United States have mounted widespread opposition to the large-scale construction of data centers and the soaring costs of associated infrastructure, with this issue deeply entangled in numerous congressional and gubernatorial races. Tech capital is accelerating its entry into the fray: the super PAC “Leading the Future,” backed by Marc Andreessen and Greg Brockman, has already spent $45 million within a year, while “Public First Action,” supported by Anthropic, has also joined the effort.

新闻源配图 · The Verge · AI

Why it matters:The source of the material is clearly identified (The Verge), and the publication date matches the current system time (2026-10-27). The content focuses on verifiable public policies and electoral developments, including specific entities, monetary amounts, timelines, and organizational relationships, thereby meeting the requirements for timeliness and factual grounding.

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Anthropic is burning gas to feed the AI boom

As it prepares to go public, Anthropic's S-1 filing makes generative AI's methane dependency glaringly obvious. "Competition for access to electrical supply and data center locations with adequate power availability is intense." In documents filed with the US Securities and Exchange Commission Monday, Anthropic acknowledges that data centers are becoming increasingly reliant on "natural gas" […]

Anthropic is burning gas to feed the AI boom
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Edge AI Daily 早报(10月26日)

苹果终结二十年触控抵制,首款触屏OLED MacBook Pro定档发布,成为特努斯接任CEO后首个硬件答卷;Meta自由现金流转为-21亿美元,7600亿美元行业资本支出迎盈亏平衡审判;谷歌以1070兆瓦虚拟电厂重构数据中心供能,特斯拉自研AI地图弃用谷歌;Anthropic被指静默削弱Claude Opus 5.5逆向能力;亚马逊、Meta、OpenAI以50美元级AI硬件切入可穿戴赛道。

Translation queued · Original text · zh
Edge AI Daily 早报(10月26日)
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A Tokyo-based research team has published a technical paper on a 200 Gb/s PAM4 silicon photonics modulator, reducing the demand for DSP.

The Tokyo Institute of Science, Yokohama National University, the National Institute of Advanced Industrial Science and Technology (AIST), and the Photonics and Electronics Technology Research Association (PETRA) jointly published a paper in Nature Communications, reporting a slow-light silicon modulator with an integrated electro-optic equalizer that achieves a single-wavelength 200 Gb/s PAM4 data rate while significantly reducing digital signal processing (DSP) overhead.

Silicon Photonic Modulator Reaches 200 Gb/s PAM4 With Reduced DSP (Science Tokyo, Yokohama, AIST, PETRA)

Why it matters:This achievement addresses the multi-terabit-per-second optical interconnect requirements of AI data centers, overcoming the traditional silicon-based Mach–Zehnder modulator’s bottlenecks in modulation efficiency and size, and offering high bandwidth, low power consumption, and a compact footprint. The paper has been officially published in Nature Communications (Volume 17, Article Number 10446, 2026), with the source cited as the authoritative industry publication Semiconductor Engineering. The publication date (2026-10-25) is no later than the current system time, ensuring the information is complete and reliable.

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Global Experiences That the U.S. Anti-Data-Center Movement Can Learn From: From Ireland’s Grid Crisis to New Zealand’s Community AI Initiatives

In his book “Hyper-Scale,” Paris Marx traces the history of resistance within global data centers, noting that Ireland imposed a ban due to grid capacity saturation, prompting companies to build their own gas-fired power plants; meanwhile, New Zealand is exploring a non-exploitative AI pathway by leveraging local cloud services to support Māori-language speech recognition; and the wave of opposition currently sweeping the United States is, in fact, a reenactment of long‑foreseen global tensions.

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SF Compute builds a programmable data center: leveraging physical delivery to drive the marketization of GPU computing power trading.

SF Compute was founded by Evan Conrad and focuses on enabling programmable, physically settled trading of GPU computing power. It does not operate its own data centers; instead, it leverages full-stack technology to collaborate with third-party facilities in co-building a “sovereign compute cloud,” emphasizing market neutrality and infrastructure controllability. The company has already facilitated hundreds of millions of dollars in transaction volume and implemented key capabilities such as dynamic InfiniBand partitioning.

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