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// ai capability claims

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theme-aiai capability claimsai model performanceai limitations

AI's Math Breakthrough Reveals Why Creative Tasks Stay Hard

Source: Azeem Azhar, Exponential View

DeepSeek's o1 model shows strong performance on mathematical reasoning, but this progress hasn't extended to creative or strategic work where correctness is ambiguous. AI systems excel when optimizing toward a clear ground truth—like math or code—but falter when tasks require judgment, taste, or tradeoffs learned through lived experience rather than training data. Near-term AI productivity gains will concentrate in engineering, science, and coding. Industries betting on AI for strategy, marketing, or novel problem-solving will see diminishing returns for years.

theme-aiai capability claimsenterprise ai strategyagentic systems

Australia's Pension Fund Warns Agentic AI Is Disruption-Class Risk

Source: The Next Web

Hostplus, managing A$410 billion in retirement savings, is publicly positioning autonomous AI agents alongside retail's digital collapse as a systemic threat to financial services. This is fiduciary concern grounded in asset allocation risk, not hype. Pension funds shape capital deployment and regulatory pressure. When the largest funds in a country flag agentic AI as a category distinct from general AI risk, regulators like ASIC follow, accelerating guardrails that will shape which AI businesses can scale in financial markets. The comparison to retail disruption signals fund managers expect agent-driven market entry and operational displacement within their investment and operational timelines, forcing immediate strategy rather than longer-term monitoring.