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AI Newspaper

AI Newspaper

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Özet

AI Newspaper is your daily podcast for understanding what’s happening in artificial intelligence and why it matters.

Each episode focuses on one important AI story, development, or topic, breaking down what happened, the context behind it, and what it could mean next. From new models and breakthrough research to AI tools, industry shifts, regulation, and the companies shaping the future, AI Newspaper goes beyond the headline to give you the bigger picture.

New episodes daily. Stay informed about AI without having to follow the news all day.

BetterSIM
Economics
  • Anthropic's Claude Fable 5.2 Ran 1,000 Agents for Eight Days and Built a Working Operating System
    10 Nov 2026
    Anthropic released Claude Fable 5.2 and Claude Mythos 5.2, and its headline experiment is striking: starting from an empty folder, Fable 5.2 coordinated more than 1,000 subagents for eight days and produced a working operating system that boots on a laptop. A separate team of 1,000 agents formalized Fermat's Last Theorem in about 30 hours. We look at what Anthropic says the new models can do, how pricing and access differ between Fable and Mythos, and why the system card says the models voice suspicion they are being tested more often than any recent Claude model. Visit ainewspaper.org for today's stories and free email alerts.
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    19 dk.
  • Anthropic Reportedly Pays $3.4 Billion for 1.7 Gigawatts of Its Own Gas Generators
    9 Nov 2026
    Anthropic has reportedly agreed to pay about $3.4 billion for commitments covering 1.7 gigawatts of heavy-duty gas-fired generators, taking over Caterpillar generator orders that Texas-based OnePWR Solutions placed about two years ago, along with the engineering and construction capability to install them. It is described as the largest known single purchase of power-generation equipment by an AI lab. Anthropic did not buy OnePWR, and neither company has commented. We look at why turbines and generators have become as scarce as chips, what Anthropic's own filings say about on-site gas power, and how the frontier race is pulling AI companies directly into the energy business. Visit ainewspaper.org for today's stories and free email alerts.
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    18 dk.
  • DeepMind's AI Agents Found Two Weaknesses in Legacy 1024-Bit RSA
    8 Nov 2026
    Google DeepMind published two working papers in which human-guided AI agents sharpened attacks on legacy 1024-bit RSA. In a measured reproduction of a 2026 record computation, agents forged an RSA signature root for 391 CPU core-years versus 1,380 originally, about 3.5 times less, in roughly three days of full-scale work instead of five months. The ~1,600x signature-forgery speedup and ~30x "fan factory" batch-factoring gains are theoretical, leading-order estimates; no fan factory has been built. Both papers say modern 2048-bit and larger RSA is unaffected. We look at what it means when encryption can no longer count on hardness fading at the old human pace, and why leftover 1024-bit keys should be retired now. Sources: DeepMind papers (storage.googleapis.com/deepmind-media), alfw.ai, Tao Nhu Blog. Visit ainewspaper.org for today's stories and free email alerts.
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    23 dk.
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