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5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition — 1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research — 1 src5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition — 1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research — 1 src
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#economics

4 curated events
papersTODAY 04:00 UTC

Paper Models Enterprise AI Adoption as a Real-Options Timing Problem

A new arXiv paper frames the decision of when firms should adopt artificial intelligence as a timing problem rather than a simple cost-benefit calculation. The author argues that because the technology frontier keeps improving, implementation is partly irreversible, and firms build capabilities only by deploying systems, companies face a trade-off between adopting early and waiting for better options. The work applies a real-options model to this setting.

enterprise-ai/adoption/economics/research
papersTODAY 04:00 UTC

arXiv paper models lifecycle costs of smart-contract federated learning marketplaces

A new arXiv preprint proposes applying lifecycle cost analysis to federated learning marketplaces that use smart contracts to coordinate training among parties who do not trust each other. The author argues that existing architectures are usually assessed only in isolated economic terms, leaving their full cost profile unclear. The paper aims to provide a more complete framework for evaluating the economics of such blockchain-based FL systems.

federated-learning/blockchain/smart-contracts/economics
papersSEP 11 04:00 UTC

Paper Shows Minimax Regret Possible in Bilateral Trade with Heavy-Tailed Valuations

A new arXiv paper examines contextual bilateral trade where the posted price does not influence which valuations the seller observes. The authors prove that this action-independent feedback structure removes the polynomial adaptation penalty previously associated with heavy-tailed valuation distributions. The result yields minimax regret guarantees without requiring a variance bound.

research/arxiv/economics/theory
papersSEP 11 04:00 UTC

Study Finds No-Screening Allocations Improve as Object Variety Increases

The paper examines how to distribute heterogeneous goods when screening applicants requires costly effort instead of money. It shows that mechanisms which skip screening entirely achieve better welfare as the variety of objects grows, and analyzes a symmetric continuous market setting. The work sits in the economics and mechanism-design side of machine learning research rather than proposing a new model.

mechanism-design/research/arxiv/economics