The Model Context Protocol 2026-07-28 revision has been officially released as a stable version. The full specification is available on the official Model Context Protocol website, and detailed changes can be found in the corresponding version's changelog.
Read originalFINRA has issued Regulatory Notice 26-15, seeking public comment on the modernization updates to interpretive guidance related to best execution under FINRA Rule 5310. The comment submission deadline is September 25, 2026.
Read originalFINRA has issued Regulatory Notice 26-14, seeking public comment on a proposal to modernize Rule 2210 (Communications with the Public). The proposal aims to replace the existing explicit requirement for pre-use approval by a principal with a modern, risk-based regulatory standard, while also simplifying the standards for retail communication filings and communications containing recommendations. Public comments must be submitted by September 11, 2026, and all received comments will be published on the FINRA website.
Read originalDrawing on two academic papers, the author identifies three structural limitations of using LLMs in trading research: First, training data is saturated with trading common sense and lacks mechanism-driven edge thinking. Second, across 35+ models, accuracy in time-series value tracking declines logarithmically as the number of historical updates increases, and neither prompt engineering nor expanding the context window can fix this. Third, outputs from 25+ models on open-ended questions show 71%–82% similarity, and models with different architectures converge to the same common answers.
Read originalThe author notes that AI has dramatically lowered the barrier to developing quantitative strategies, enabling fully coded and backtested strategies to be generated within minutes. However, cheap experimentation amplifies the multiple-testing problem, producing a flood of false backtest results that appear effective but are actually overfit to noise.
Read originalBridgewater released a research report on January 7, 2026, estimating that AI capital spending will contribute about 140 basis points to U.S. GDP growth in 2026 and about 150 basis points in 2027, a scale comparable to the contribution of business investment to growth during the dot-com bubble.
Read originalBridgewater Co-Chief Investment Officer Greg Jensen and AIA Labs Chief Scientist Jas Sekhon released a viewpoint arguing that Google Gemini 3 is currently the strongest publicly available general-purpose large AI model, with pre-training compute at least 2–3 times higher than GPT-4o, validating that the path of scaling pre-training remains sustainable. This development will drive the AI industry to continue increasing investment in compute, chips, and power, with significant implications for capital markets and the economy.
Read originalThe Model Context Protocol 2025-11-25 revision has been officially released. The specification is available on the official Model Context Protocol website, and detailed changes can be found in the corresponding version's changelog.
Read originalBridgewater released a research report outlining the energy supply and security landscape across the U.S., China, and Europe in the context of modern mercantilism. The report notes that cheap and abundant electricity is critical to the AI race and national competitiveness, and governments are now making energy self-sufficiency a core policy priority. The report also analyzes the differentiated challenges and advantages of the three regions in energy supply chains and power capacity expansion.
Read originalThe 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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