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Gordon Institute Chart

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Gordon Chart is the institutional data visualization and quantitative research account of Gordon Institute.

It produces charts, figures, analytical exhibits, and visual summaries supporting the firm's work across consulting, artificial intelligence, scientific modeling, and capital. Gordon Chart translates quantitative evidence, research findings, market data, and analytical models into concise visual formats designed to make complex relationships easier to interpret.

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Figure: On a 32-step simulated attack, Kimi K3 completed barely six of every ten steps the leading US models did.

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Figure: Each round of weaker defence raises funding costs and cuts reinvestment, which widens the gap that started the loop. Related articles:

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Figure: Mean time to exploit dropped below ten hours in 2026 as the share of zero-day vulnerabilities reached about three-quarters. Related ar

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Figure: Deepfakes challenge authenticity at the surface; chatbot answers create a less visible accountability problem underneath. Related articles: Monitor

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Figure: Repeated testing turns fleeting model changes into a record that can be compared and investigated. Related articles: Monitoring Political AI

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Figure: Reported reductions in effort were lowest for evaluation, the activity that most requires independent judgment. Related articles:

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Figure: How Zyphur's 38-university sample splits across three policy types identified in his audit. Related articles:

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Figure: Only six of the thirty-eight doctoral universities studied had progressed through all five dimensions; fifteen remained at a generic conduct-rule stage. Related articles:

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Figure: Zyphur’s framework distinguishes search, co-authoring, validator, and tutor functions, showing that each mode requires a different form of human verification and oversight. Related article

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Figure: Routine production can shift to AI while judgment and accountability remain human. Related articles: The Human Revi

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Figure: AI can reduce execution costs while shifting work into review and decision ownership. Related articles:

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Figure: Large firms employ most U.S.

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Figure: Accounting for costs and worker differences more than doubles the model’s explanatory power. Related articles: From AI Capability to Adopti

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Figure: 50.6% of accepted papers would have been rejected on a second, independent review. Related articles: Verification in Scientific Publishing_What Checkab

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Figure: Submissions climbed from 3,240 in 2017 to 21,575 in 2025. Related articles: Verification in Scientific Publishing_What Checkable Cla

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Figure: Half of 142 journals had one retraction; four had 100+. Related articles: Journal Accountability_Correcting the

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Figure: AI-influenced writing has moved from an occasional flag to the default state of the discussion section. Related articles: Agentic A

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Figure: Half of all paper-mill retractions trace back to journals with just one flagged article; fraud concentrates, it doesn't spread evenly. Related articles:

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Figure: Computer science shows the sharpest jump in AI-modified writing of any field tracked. Related articles:

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