- Machine Learning Macro InvestingFactual summary
BlackRock has detailed its framework for utilizing machine learning within global macro investing and asset allocation strategies.
- Asic and Apra warn frontier AI awareness must turn to actionFactual summary
ASIC and APRA issued a joint warning for Australian financial entities to shift from AI risk awareness to active mitigation frameworks.
- LLMs Are Not (Consistently) Bayesian: Quantifying Internal (In)consistencies of LLMs’ Probabilistic BeliefsFactual summary
Apple research shows LLMs fail to update probabilistic beliefs consistently, deviating significantly from ideal Bayesian reasoning.
- OpenAI Is Developing a ‘Persistent’ AI AgentFactual summary
WIRED code analysis reveals OpenAI is developing persistent execution capabilities for Codex, enabling proactive background operation.
- When agents act on their own, governance has to live in the data layerFactual summary
Autonomous AI agents require data-layer governance to prevent unauthorized actions across enterprise systems.
- Calibrated Enough to Know, Not Calibrated to Act: Fabricated Evidence Makes LLM Agents Commit to the UnknowableFactual summary
Study shows frontier LLM agents increase directional calls on unpredictable tasks from 6.5% to 54% when shown fabricated market data.