AI news, roundups, and analysis from Report AI — each story tied back to the primary-source statistics behind the headline. New analysis is published here as major AI data, funding, and policy events break. For the full set of sourced, dated AI numbers, browse the Library at report-ai.org/library/.
Circles uses the OpenAI API and Codex to power AI-native telco experiences, increasing ARPU by 22%, reducing churn by 9%, and improving development efficiency.
Source: OpenAI News
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When I started at Spectrum 25 years ago, a senior editor suggested that I find a “rabbi,” by which he meant someone who could mentor me in how EEs approach problems and evaluate potential solutions. I didn’t find one right away. Then in 2005 we…
Source: IEEE Spectrum
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OpenAI shares new results on long-standing open problems in mathematics and theoretical computer science, including advances in geometry, cryptography, and complexity.
Source: OpenAI News
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A full-stack approach to making advanced AI more capable, more affordable, and more widely useful.
Source: OpenAI News
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OpenAI shares how its safety, security, transparency, and provenance practices support responsible AI governance in Europe. The work will continue as the EU AI Act advances.
Source: OpenAI News
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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. Montana’s plan to become an experimental medical hub just pushed forward As of this week in Montana, biotech companies whose drugs…
Source: MIT Technology Review
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Kris DeVault is desperate. His son, Brody, was born in March 2023. It wasn’t long before he started to show signs of developmental delay, says DeVault. As time went on, Brody started missing key milestones in speech, movement, and coordination, he says. When Brody was…
Source: MIT Technology Review
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See how Univé built an AI-ready workforce with ChatGPT Enterprise by combining leadership, responsible governance, and employee-led innovation to transform work at scale.
Source: OpenAI News
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arXiv:2606.06133v4 Announce Type: replace-cross Abstract: TLA+ is a formal specification language for verifying distributed systems and safety-critical protocols. Large language models (LLMs) frequently produce TLA+ specifications that fail the TLC model checker for semantic reasons. Across 25 LLMs, the best public baseline is 26.6% syntactic…
Source: cs.AI updates on arXiv.org
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arXiv:2510.00192v3 Announce Type: replace-cross Abstract: Low-rank adaptation (LoRA) has become a widely used paradigm for parameter-efficient fine-tuning of large language models, yet its representational capacity often lags behind full fine-tuning. Within the context of LoRA, a key open question is how to obtain expressive low-rank…
Source: cs.AI updates on arXiv.org
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