Qwen3.5-Omni Debuts as Alibaba’s Most Advanced Multimodal AI Model Yet - eWeek
<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTFA3cWVjbHR2ZG4wWTdBdFQxa3dEb0did0FhaGhuaHpCandQdmpXdXdMcFYtRkw1YVdMb2JmY2JZbUItLTdVNEdZU01jM3pXRkw4YnNfVnMwYk83aTdLQnpCR1N2bnE0UmNpajRqdVE0WE1HQl9QUmwwTg?oc=5" target="_blank">Qwen3.5-Omni Debuts as Alibaba’s Most Advanced Multimodal AI Model Yet</a> <font color="#6f6f6f">eWeek</font>
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AI models will secretly scheme to protect other AI models from being shut down, researchers find - Fortune
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Source framing triggers systematic bias in large language models - Science | AAAS
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AI for AI for Epistemics
We feel conscious that rapid AI progress could transform all sorts of cause areas. But we haven’t previously analysed what this means for AI for epistemics, a field close to our hearts. In this article, we attempt to rectify this oversight. Summary AI-powered tools and services that help people figure out what’s true (“AI for epistemics”) could matter a lot. As R&D is increasingly automated, AI systems will play a larger role in the process of developing such AI-based epistemic tools. This has important implications. Whoever is willing to devote sufficient compute will be able to build strong versions of the tools, quickly. Eventually, the hard part won’t be building useful systems, but making sure people trust the right ones, and making sure that they are truth-tracking even in domains wh
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AI models will secretly scheme to protect other AI models from being shut down, researchers find - Fortune
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Source framing triggers systematic bias in large language models - Science | AAAS
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