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Learning with Simulators: No Regret in a Computationally Bounded World

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Understanding the minimal assumptions necessary for generalization is the fundamental question in learning theory. Unfortunately, most results rely heavily on independence (or some proxy thereof) of the data-generating process, while results for strongly dependent data are far more limited. Towards addressing this gap, we introduce the framework of simulatable processes, where the learner has access to a simulator that approximates the distribution generating the data (which may be an arbitrarily complex and dependent process). Surprisingly, given access to […]

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Evaluate AI agents systematically with Agent-EvalKit

Evaluate AI agents systematically with Agent-EvalKit

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Teams building AI agents typically evaluate them the way they evaluate any other software: by checking whether the output matches expectations. But agents that autonomously choose tools and sequence operations across multiple sources produce behavior that output-level testing cannot fully characterize. An agent might deliver a well-structured, actionable response while hallucinating, fabricating facts because its tools returned empty results. It might also reach the correct conclusion while skipping the verification steps that a reliable process requires. Because these […]

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Spot trends faster, sort smarter: Unlocking Sparklines and Custom Sort in Amazon Quick

Spot trends faster, sort smarter: Unlocking Sparklines and Custom Sort in Amazon Quick

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Amazon Quick Sight, the business intelligence capability of Amazon Quick, delivers a unified BI experience, from modern interactive dashboards and natural language querying to pixel-perfect reports, machine learning insights, and embedded analytics at scale. Amazon Quick brings together AI-powered agents for business insights, research, and automation in one integrated experience, helping teams work smarter and faster while maintaining security and access policies. Today, we’re excited to announce two new capabilities that make Quick Sight dashboards even more expressive […]

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datasette 1.0a33

datasette 1.0a33

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Release: datasette 1.0a33 This alpha is a significant step on the road to a stable 1.0, finally extending the ?_extra= pattern I introduced in Datasette 1.0a3 to cover queries and rows in addition to tables. That pattern is also now documented! I wrote a whole lot more about the new release on the Datasette project blog: Datasette 1.0a33 with JSON extras in the API. Because API explorer tools are almost free to build now I had Claude Fable […]

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Opendoor’s decision to close its India operations has started a debate that goes way beyond one company’s restructuring. What looked like just another round of layoffs at first quickly turned into a bigger conversation about artificial intelligence and how it might shake up outsourcing, a model that has kept global business running for decades. The debate gained attention after Opendoor’s leaders mentioned their shift toward smaller AI-native teams as a key reason for the change. The company has […]

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As artificial intelligence grows, frontier AI systems face a roadblock: how to provide efficient outputs while preventing unauthorized use? The example stems from Anthropic’s latest launch, Claude Fable 5. The announcement stated that sensitive queries will fall back to Claude Opus 4.8, a less advanced system. This indicates a new pattern representing less accessibility rather than denial. It is a cautious move for frontier AI models, but it also raises a question: If the sensitive query shifts to […]

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Optimize blueprint extraction accuracy in Amazon Bedrock Data Automation

Optimize blueprint extraction accuracy in Amazon Bedrock Data Automation

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Extracting structured data from unstructured documents such as invoices, contracts, tax forms, and enrollment applications is a common automation goal for organizations. Achieving high extraction precision remains a key challenge. Accuracy degrades when documents diverge from expected templates, formats vary across vendors, or scan quality is poor. With Amazon Bedrock Data Automation (BDA), you can classify, extract, normalize, and validate data from documents through a single API. You use customizable blueprints that generate custom output tailored to your […]

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