Emily Bender Sets the Record Straight on “Stochastic Parrots”

In March 2021, a group of four linguists and computer scientists published their now legendary paper “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜” The paper received significant attention at the time (in part because Google fired two of the…

Source: IEEE Spectrum

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The Download: AI “coworkers” and stratospheric internet

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. AI agents are not your “coworkers” Imagine coming in to work to learn that a new underling will report to you.…

Source: MIT Technology Review

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How ChatGPT adoption has expanded

New OpenAI Signals data shows how ChatGPT adoption is growing globally, with users increasing usage, exploring more capabilities, and driving growth across regions and languages.

Source: OpenAI News

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Learning How to Use Tools, Not Just When: Pattern-Aware Tool-Integrated Reasoning

arXiv:2509.23292v4 Announce Type: replace Abstract: Tool-integrated reasoning (TIR) has become a key approach for improving large reasoning models (LRMs) on complex problems. Prior work has mainly studied when to invoke tools, while overlooking how tools are applied. We identify two common patterns: a calculator pattern…

Source: cs.AI updates on arXiv.org

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Field Order Should Not Matter: Permutation-Invariant Embedding Model Fine-Tuning for Structured Metadata Retrieval

arXiv:2606.30473v1 Announce Type: cross Abstract: We study retrieval over catalogs of structured metadata, where each record is a small schema whose fields answer different kinds of query. Embedding a record with a text encoder first serializes its fields into a string, which forces a choice…

Source: cs.AI updates on arXiv.org

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When Web Agents Finish but Still Fail: Reproducible Triggers and Trace Diagnostics for Parallel Web Exploration

arXiv:2606.20724v2 Announce Type: replace Abstract: Long-horizon web agents often fail in ways hidden by final-answer evaluation: they may visit useful pages, produce a well-formed answer, and terminate confidently while still missing fields, over-including unsupported items, or relying on stale evidence. We study these failures with…

Source: cs.AI updates on arXiv.org

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Introducing GeneBench-Pro

Introducing GeneBench-Pro, a new benchmark testing AI performance in genomics, biology, and scientific research using complex, real-world datasets.

Source: OpenAI News

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