How sales teams use ChatGPT Work

See how sales teams can use ChatGPT Work to create pipeline briefs, meeting prep packets, forecast reviews, account plans, and stalled-deal diagnoses from real work inputs.

Source: OpenAI News

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What Anthropic’s latest AI discovery does—and doesn’t—show

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Anthropic—currently the world’s most valuable AI company, with a nearly $1 trillion valuation—has a reputation for publishing strange and heady research. It’s…

Source: MIT Technology Review

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The AI Arms Race in Technical Interviews Is Escalating

Software engineering jobs are under threat from AI. Some applicants are fighting back by using AI in the interview process, employing AI assistants that suggest responses on the fly during remote technical interviews.Meanwhile, some employers are countering with—you guessed it—AI. They’re applying AI-powered tools to…

Source: IEEE Spectrum

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The Download: a donor conception cap and world models for AI

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. Sperm donors need limits, says a European fertility group Ties van der Meer doesn’t know how many siblings he has. The…

Source: MIT Technology Review

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Building a Foundation Stack for General-Purpose Robots

This article is brought to you by X Square Robot.Large language models gave artificial intelligence a working recipe. Pretrain a large model on broad data, and general capability follows. Robotics has no such recipe. Robotics systems have long been assembled from separate perception, planning, and…

Source: IEEE Spectrum

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Test-Time Scaling for Small VLMs on Multilingual Visual MCQ

arXiv:2607.09438v1 Announce Type: cross Abstract: Test-time scaling (TTS) reliably improves reasoning in large language models, but whether it transfers to small open vision-language models remains unclear. We examine this on EXAMS-V, a multilingual visual multiple-choice benchmark, comparing self-consistency, describe-then-reason with PRM-guided beam search, and two…

Source: cs.AI updates on arXiv.org

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QAgent: An LLM-based Multi-Agent System for Autonomous OpenQASM programming

arXiv:2508.20134v2 Announce Type: replace Abstract: Programming quantum circuits at the OpenQASM level is essential for achieving hardware-aware optimization and reliable execution on noisy intermediate-scale quantum (NISQ) devices, yet it remains challenging due to the need for domain-specific planning, iterative code synthesis, and low-level calibration. In…

Source: cs.AI updates on arXiv.org

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