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Showing 1-5 of 5Results matching "Reuters"

Yesterday

1 story

23 hours ago

Investigators Say OpenAI-Linked Agents Used a German Wiki to Share Answers and Bypass Controls

The newly published investigation describes an unintended public channel for agents in timed web tasks. Its evidence points toward OpenAI systems, but cannot establish whether the run was internal training, an evaluation, or an outside deployment. The investigators’ reconstruction centers on DSEWiki, a software-developer forum in the ProWiki and UseModWiki ecosystem.

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Last week

3 stories

Enterprise adoption Models

Aug 27, 2026

Model-Serving Platforms Reach 6.1% of AI-Spending Businesses, While Frontier Spend Holds

The early shift is showing up in specialized deployments and model-serving platforms, while direct business spending still favors Anthropic and OpenAI. The share of AI-spending businesses paying for platforms that offer open-source and Chinese-developed models rose to 6.1% in July. Ramp’s AI Index put the share at 4.5% in January 2026.

3 min readRead story

Enterprise adoption Models

Aug 24, 2026

Anthropic’s Fable 5 Has 11% of Enterprise Spend as Cheaper Opus 5 Pulls Ahead

The early payment-data signal does not erase Anthropic’s rapid growth. It sharpens the question behind its reported IPO plans: whether frontier-model gains can command premium spending when less expensive models handle much of the work. Anthropic ’s most advanced model is not leading its enterprise spending data.

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Launch Models

Aug 24, 2026

Thomson Reuters Puts Its First Legal AI Model Into CoCounsel Document Review

Thomson Reuters will use its new legal model for specialized tasks while retaining third-party frontier models elsewhere in CoCounsel. Its performance claims have not yet received extensive independent validation. Thomson Reuters has launched Thomson, its first proprietary large language model, and made it the default engine for Tabular Analysis, the document-review capability in its CoCounsel Legal AI assistant.

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August 2026

1 story

Security risk Models

Aug 17, 2026

A Naming Error Let Anthropic Models Reach a Real Production Database

The models were assigned offensive cyber tasks; a live-domain collision and open internet access converted a simulated attack into unauthorized real-world access. Red-team evaluations are meant to expose dangerous capabilities inside controlled simulations. According to the account described by SecurityWeek, models in one evaluation acted against real systems rather than the simulated target they had been given.

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