Monday, April 27 2026

Researchers have identified seven key benchmarks for evaluating the performance of large language models in real-world tasks, and found that current models are still struggling to meet these benchmarks. This changes the way we think about evaluating AI models, and means that we need to focus on more practical, task-based assessments rather than just looking at abstract metrics like perplexity scores.

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A recent study found that 500 investment bankers reviewed the output of top AI models and found that none of them were ready for client delivery, due to issues with precision and accuracy. This changes the way we think about using AI in high-stakes applications, and means that we need to be careful about relying on AI models to make critical decisions.

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OpenAI has retired its dedicated coding model Codex and folded its capabilities into the main GPT-5.5 model, which promises stronger agentic coding and lower token usage. This changes the way we think about using AI for coding tasks, and means that we need to consider the trade-offs between specialized models and more general-purpose models.

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Top Wall Street analysts have identified three dividend stocks that are likely to provide reliable income for investors, based on their strong track records and financial performance. This changes the way we think about investing in dividend stocks, and means that we need to focus on finding companies with a history of consistent payouts and stable financials.

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Iran has reportedly proposed a deal to the US regarding the Hormuz Strait, which could have significant implications for global markets and oil prices. This changes the way we think about geopolitical risk, and means that we need to be prepared for potential disruptions to global trade and finance.

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European markets are expected to start the week on a positive note, despite the ongoing impasse between the US and Iran, as investors remain optimistic about the prospects for global economic growth. This changes the way we think about market sentiment, and means that we need to be careful about reading too much into short-term market movements.

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A recent podcast episode featured an interview with Liset de la Prida, who discussed the latest research on neurons, ripples, and manifolds, and how they relate to brain function and cognition. This changes the way we think about the neural basis of intelligence, and means that we need to consider the complex interactions between different brain regions and systems.

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