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What's New In AI Today
Top stories across research, enterprise, policy and tooling — curated for AI leaders.
Google DeepMind releases Gemini 3 Ultra — scores 97.4% on MMLU benchmark
The new model sets a new record on 14 of 18 standard evaluations, with particular gains in multi-step reasoning and code generation.
MIT CSAIL publishes landmark study on LLM hallucination reduction
Researchers introduce a "grounding layer" technique that cuts factual errors by 61% without performance degradation on standard tasks.
Stanford HAI releases 2026 AI Index — enterprise adoption up 38% YoY
The annual index tracks 47 metrics across research, adoption, and policy, showing the fastest enterprise uptake since 2023.
Microsoft announces mandatory AI governance audits for all Azure AI deployments
Starting Q3 2026, enterprise Azure customers must pass a governance readiness checklist before deploying high-risk AI workloads.
Goldman Sachs reports $4.2 trillion in enterprise value created by AI in 2025
The investment bank's annual analysis credits operational AI — not generative AI alone — as the primary value driver for Fortune 500 companies.
McKinsey: Only 12% of enterprises have a mature AI operating model in place
A new survey of 1,400 executives finds that most organisations are still in early-stage AI adoption despite heavy investment.
US NIST AI RMF 2.0 officially adopted by 200+ federal agencies
Providers of high-risk AI systems must now meet updated guidance requirements. Agencies given a 90-day compliance window to align procurement and deployment practices.
US Executive Order on AI Safety updated — federal agencies given 90-day compliance window
The updated order extends AI oversight requirements to procurement processes, requiring risk assessments for all AI-powered vendor contracts.
Anthropic launches Claude 4 Workbench — enterprise fine-tuning now available
The new enterprise suite allows organisations to fine-tune Claude 4 on proprietary data with full audit logging and data residency controls.
AI Risk Management frameworks hit record enterprise adoption — new data from Gartner
Adoption of structured AI risk management approaches has tripled in 12 months, driven by board-level accountability requirements and investor due diligence standards.
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