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| News without the noise |
| Tuesday 10 November 2026 · The Daily Edition |
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Security · Updated · 2 sources · 2 min
Hackers are actively exploiting an authentication bypass vulnerability in OpenSSH, dubbed 'SSHole', to steal credentials, execute commands, and establish persistent access on Linux systems, multiple cybersecurity firms have confirmed. |
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Tech · 3 min
China is building an 800MW AI data center campus in Inner Mongolia that could rival the economics of the US Stargate project, according to a report from SemiAnalysis. Envision has built the first 120MW of the Galaxy campus in less than a year, at a cost researchers put at one-fifth that of comparable US projects. |
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Security · 3 min
Cloudflare has tested Merkle Tree Certificates (MTCs) as an alternative to traditional certificate chains, reporting 9% faster median performance in a Chrome experiment, and is developing a public certificate authority (CA) to support MTC issuance, with inclusion in Chrome’s quantum-resistant Root Store targeted for early 2027, subject to evaluation. |
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AI · Updated · 6 sources · 2 min
Anthropic has launched Claude Fable 5.2 and Claude Mythos 5.2, its latest best-in-class AI models. The company says the new models generate outputs up to 30 percent faster than their predecessors and are available at a reduced price of $8 per million input tokens and $40 per million output tokens. Subscribers on eligible paid plans will receive additional Fable usage starting this week. |
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Editor's picks |
Today's segment · Paper of the Day
Language models can use compute better by stopping large models early
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Preprint 2001.08361v1
Jared Kaplan, Sam McCandlish et al. — Johns Hopkins University · OpenAI
Kaplan and colleagues report that language models improve predictably as model size, training data and computation increase. Their central practical finding is counterintuitive: within a fixed training-compute budget, the best results come from training a very large model on relatively modest data and stopping well before its performance levels off.
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