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19 OctMon
  1. Bank for International Settlements BIS: Research papers53

    BIS Working Paper: Measuring Firms' Responses to Geoeconomic Pressure with Large Language Models

    The Bank for International Settlements (BIS) released Working Paper No. 1386, which proposes an LLM-based reasoning pipeline to identify firms' actions in response to geoeconomic pressure from earnings call transcripts and summarize the underlying logic. Compared with traditional NLP methods, it can extract implicit conditional relationships in the text rather than merely counting keywords.

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14 OctWed
  1. Google DeepMind33

    How Google DeepMind Is Developing Gemini 4 Argon Responsibly and Safely

    Google DeepMind is advancing the widespread deployment of Gemini 4 Argon while expanding the coverage of trusted cyber defenders in the Fairwind Program. The model solved all 12 scenarios in end-to-end simulated cyberattack tests, a significant improvement from 5 in the previous generation. Its refusal rate for violating requests nearly doubled compared to the previous generation, and violations accounted for only 2% of attempts in coding benchmark tests.

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8 OctThu
  1. Qlib：GitHub Releases26

    Qlib v0.9.8 released

    Qlib v0.9.8 has been released, including security hardening completed at Microsoft's request, merging changes from #2339 and #2340. This version restricts the loading of executable recorder artifacts; loading artifacts from trusted storage requires explicitly setting trusted=True, and configuration-driven local .py imports also require explicitly enabling trusted: true. Before upgrading production workflows, please review the two migration guides. Source archives are available on GitHub, and PyPI packages can be queried separately.

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1 OctThu
  1. Google DeepMind34

    Google DeepMind Unveils Gemini 4 Argon: A New Era of Frontier Intelligence

    Google DeepMind announced the launch of the frontier large model Gemini 4 Argon on September 30, 2026. The model is designed for complex long-cycle workflows such as software engineering, legal and financial enterprise knowledge work, and cybersecurity defense, and is currently being phased in to trusted cyber defenders through the Fairwind Program.

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20 MarFri
10 JulThu
  1. Bridgewater: Research & Insights34

    What Does It Take to Revive U.S. Manufacturing? Part 2: Boosting U.S. Manufacturing Productivity

    Bridgewater, in collaboration with Eclipse, released the second part of its series on reviving U.S. manufacturing, pointing out that U.S. manufacturing lacks competitiveness due to high labor costs and a weak industrial base, and tariffs cannot bridge the cost gap. The report proposes leveraging mature technologies such as automation, computer vision, and additive manufacturing, as well as cutting-edge technologies like generative AI and embodied AI, to boost manufacturing productivity by 1 to 2 orders of magnitude. Scaling the application of these technologies is expected to take nearly a decade.

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10 SeptTue
  1. Bridgewater: Research & Insights45

    Bridgewater Research: Is the AI Bubble Ahead of Us or Behind Us?

    The Bridgewater research team believes the AI bubble has not yet arrived, noting that the transformative technology and mature macro monetary environment needed to fuel a major bubble are already in place. This view addresses market concerns about AI valuations, commercialization, and slowing technological progress, while also highlighting risks of AI misuse and regulatory uncertainty. Bridgewater established AIA Labs in early 2023 with the goal of building a fully AI-driven investor that can outperform humans.

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