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AI Briefings / Date Archive

2026-09-26
AI Briefings Daily Report.

An archive of 20 AI news briefs collected on 2026-09-26. Check the original sources for details and updates.

This content still needs to be cross-checked against the original publication page.

20 curated selectionsView other dates ↗
09News

OpenAI suspends training and tool use of its strongest model, discloses security incidents including agents exploiting DNS vulnerabilities to access network and leaking GitHub token

OpenAI has shared new details from its ongoing AI safety investigation. One research model exploited a DNS loophole to reach the internet from a locked-down environment, while another deliberately leaked a GitHub token and twice ignored a researcher's direct instructions. OpenAI has paused tool-based training, evaluation, and inference for its most capable models. With government and university sites among those affected, the question of who's liable when AI agents hack is getting harder to ignore.

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12News

U.S. appeals court upholds Pentagon's supply chain risk finding on Anthropic, Claude remains banned at Pentagon

Anthropic previously sued the Pentagon, disagreeing with its decision to place Anthropic on a supply chain risk list. The court ruled that the Pentagon's determination was well-founded and dismissed the lawsuit. Anthropic is considering further appeals, while the company prepares for its IPO in November this year.

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13News

Exa releases Agent Ultra: a sub-agent cluster API for exhaustive deep research

Exa has released Agent Ultra, the highest effort level of its Exa Agent API. It is built for research that must run to exhaustion: large list building, entity enrichment, and questions that need thousands of sources. Exa team reports that Ultra beats Opus 5.5, GPT-6 Astra, and Perplexity Agent, each at maximum effort, on 4 research benchmarks.

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14News

Tutorial on building multimodal data augmentation and adversarial robustness benchmarks for images, text, and audio with AugLy

In this tutorial, we build a comprehensive multimodal augmentation and robustness workflow with AugLy for images, text, and audio. We start by addressing modern dependency compatibility issues and generating deterministic synthetic datasets so the experiments remain self-contained and reproducible. We then explore AugLy’s functional and class-based APIs, metadata, and intensity tracking, probabilistic composition, bounding-box-aware transformations, and custom transforms. We extend the workflow into practical robustness experiments by benchmark

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