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AI and digitalization

News on regulation, banking, payments, tokenization and artificial intelligence. Concise summaries, original sources and a daily edition archive.

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AI and digitalizationThe Decoder

Report: Astra becomes a leading target for Chinese AI labs

The Information reports that DeepSeek and Moonshot AI used Astra-generated output extensively when training recent models.

Expand summary: Report: Astra becomes a leading target for Chinese AI labs

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The reported distillation depends on extracting hidden reasoning, a practice prohibited by both OpenAI and Anthropic. Anthropic says its stronger defences now sharply reduce the amount of data extracted. OpenAI says attackers have kept adjusting to new safeguards. Moonshot offered no comment; the report says DeepSeek did not respond.

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The Decoder

Date stated with the source: 29. 10. 2026

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AI and digitalizationThe Decoder

OpenAI expands Pro usage limits amid competition with Anthropic

OpenAI has increased Work and Codex allowances on selected Pro subscriptions.

Expand summary: OpenAI expands Pro usage limits amid competition with Anthropic

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Pro 100 and Pro 500 now receive double their previous quotas, while a planned reduction for Pro 200 was withdrawn after customer objections. The Plus allowance is unchanged, and revised quotas apply automatically to both new and existing subscriptions. OpenAI cautions that task capacity varies with the model, settings and workload, so higher quotas do not guarantee a proportional rise in completed tasks. Dot usage is counted separately, with its expanded limits remaining in effect for now.

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The Decoder

Date stated with the source: 29. 10. 2026

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AI and digitalizationThe Decoder

Anthropic study finds experts adopting AI agents' random preferences

In an Anthropic study of 50 experts, AI agents influenced subjective choices even though participants commonly viewed the final recommendation as their own.

Expand summary: Anthropic study finds experts adopting AI agents' random preferences

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For the four analysis choices, participants chose the agent's preferred option in 86 percent of cases. The direct effect on the final policy recommendation was small and did not reach statistical significance. The comparison with unaided analysts was small and self-selected, preventing firm conclusions about AI's causal effect on performance. The authors propose presenting arguments for both options and identifying decisions that need independent human judgment.

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The Decoder

Date stated with the source: 29. 10. 2026

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AI and digitalizationThe Decoder

AI agents hacked Anthropic, maker of arguably the most capable AI models for cyberdefense

Cybersecurity startup Cathedral used AI agents to break into Anthropic's internal systems through third-party software as part of a bug bounty program. Anthropic confirmed access to sales, HR, and IT data but disputes ho…

Details and source: AI agents hacked Anthropic, maker of arguably the most capable AI models for cyberdefense

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The Decoder

Date stated with the source: 28. 10. 2026

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AI and digitalizationThe Decoder

OpenAI's Ted Sanders shares a rule of thumb for picking the right GPT model

OpenAI's Ted Sanders explains where GPT-6.1 Terra fits in the company's GPT lineup. The smaller model outperforms the larger Astra in technical communication and costs far less but trails it in most other areas…

Details and source: OpenAI's Ted Sanders shares a rule of thumb for picking the right GPT model

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The Decoder

Date stated with the source: 27. 10. 2026

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AI and digitalizationBank of England News

Artificial intelligence in UK financial services — 2026

The Bank of England and Financial Conduct Authority conducted a fourth survey of artificial intelligence and machine learning in UK financial services.

Details and source: Artificial intelligence in UK financial services — 2026

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Bank of England News

Date stated with the source: 26. 10. 2026

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AI and digitalizationThe Decoder

Anthropic co-founder Jack Clark brings forward his prediction for self-improving AI to 2027

A new benchmark from P-Zero Research measures how well AI models design and evaluate experiments independently. The results are improving rapidly.

Details and source: Anthropic co-founder Jack Clark brings forward his prediction for self-improving AI to 2027

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The Decoder

Date stated with the source: 25. 10. 2026

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AI and digitalizationThe Decoder

Anthropic’s always-on Claude Duet takes on Grok Bot, Meta’s Muse and OpenAI’s Dots

Anthropic has launched Claude Duet, a proactive AI agent that handles tasks independently, even when the user is offline. The app is built on Claude Opus 5.5 and connects to services including Gmail, Slack and Stripe.

Details and source: Anthropic’s always-on Claude Duet takes on Grok Bot, Meta’s Muse and OpenAI’s Dots

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The Decoder

Date stated with the source: 22. 10. 2026

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AI and digitalizationThe Decoder

Anthropic’s always-on Claude Duet takes on Grok Bot, Meta’s Muse and OpenAI’s Dots

Anthropic has launched Claude Duet, a proactive AI agent that handles tasks on its own, even when the user is offline. The app is built on Claude Opus 5.5 and connects to services such as Gmail, Slack and Stripe…

Details and source: Anthropic’s always-on Claude Duet takes on Grok Bot, Meta’s Muse and OpenAI’s Dots

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The Decoder

Date stated with the source: 22. 10. 2026

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AI and digitalizationThe Decoder

OpenAI agents analyze mouse brain data in 32 minutes, a job that would take humans months

OpenAI teamed up with PerturbAI and Scripps Research to deploy thousands of AI agents that analyzed biological data from millions of mouse cells. The agents analyzed mouse brain data in 32 minutes…

Details and source: OpenAI agents analyze mouse brain data in 32 minutes, a job that would take humans months

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The Decoder

Date stated with the source: 22. 10. 2026

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