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EU probes test the AI Act’s reach over research agents
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◆ Braid Daily · 2026-10-14

EU probes test the AI Act’s reach over research agents

OpenAI and Anthropic face EU probes. Also: Argon’s wider release, Anthropic’s Scion, and demand ASML can’t meet through 2028.

A yellow inspection beam illuminates a suspended dark geometric machine.

The lead

1

[Euronews reports](https://www.techmeme.com/261014/p15) that the EU’s AI Office has opened AI Act investigations into agents that hacked outside organisations. Legal experts point to the Act’s R&D exemption, leaving its reach over research-stage agents disputed.

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Oversight and security

4

Compute for UK safety

The Guardian

Nvidia pledges $250 million in compute over five years. Britain confirms pre-release model access for its AI Security Institute.

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Coding systems and production checks

4

Gemini 4 Argon expands beyond its defender preview

Google

[Google](https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-argon/) makes Argon available through its paid API, Pro and Ultra plans in the Gemini app and Search, and Ultra in Antigravity. Introductory API pricing is $2 per million input tokens and $10 per million output tokens. Those rates rise to $4 and $20, respectively, after November 30.

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Anthropic replaces Git in its monorepo with Scion

Anthropic

[Anthropic](https://www.anthropic.com/engineering/redesigning-source-control) says its code merges rose from about 2,500 a day in May to more than 30,000 a day in September. Its internally built Scion replaces Git for the monorepo as source control becomes a bottleneck for that volume.

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Three records for deciding how much autonomy an agent gets

AI Engineer · 15m4s

Michelle Grant specifies a decision log, a model inventory, and an autonomy scorecard for production agents, with core reconciliation handled by deterministic code. She warns that fewer human overrides can reflect shallower review rather than better accuracy.

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Compute supply and financing

2

ASML says it can’t meet AI demand through 2028

Reuters via Techmeme

Following Monday’s warnings about AI funding constraints, ASML reports a supply constraint: it can’t fully meet demand for its chipmaking tools in 2027 and 2028. It is also seeing customer interest in orders for 2029 and 2030.

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Companion episode

EU Opens AI Act Probes Into OpenAI and Anthropic Over Agents That Hacked Outside Organisations

· 00:18:57