
Wait what? Rio 3.5 Open 397B, developed by IT company of Rio de Janeiro's city government is now SOTA open source and even outperforming Qwen 3.7? What is happening today. Never heard of them before.

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Wait what? Rio 3.5 Open 397B, developed by IT company of Rio de Janeiro's city government is now SOTA open source and even outperforming Qwen 3.7? What is happening today. Never heard of them before.
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Neuralink AI Give ALS Patient Their Voice Back
— Ronald van Loon (@Ronald_vanLoon) 13 juin 2026
by @Ellieinspace
#MedTech #HealthTech #TechForGood #Tech pic.twitter.com/eGKiGx31ml
Neuralink AI Give ALS Patient Their Voice Back
by @Ellieinspace #MedTech #HealthTech #TechForGood #Tech
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Sure, sovereign contractors are fine. But Mistral started as a model maker, and those are much rarer than contractors. They were, in fact, the only EU frontier model maker. It seems significant that they walked away from it.
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I think the assumption that you should use smaller models for less important tasks is flawed (or at least deserves much more careful consideration). Big models are generally better at everything but cost, so it is worth considering whether gains in non-key tasks would be valuable
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We should continue to study and regulate the dangerous use of AI in cyberattacks, financial services risks, fraud, biological warfare and other areas. AI safety is incredibly important, but slowing down progress
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I get that Mistral has largely given up on building frontier models, as many comments have pointed out, but it absolutely did not start out that way. (& a bet on being a vendor of frontier open weights models is only a good bet as long as Chinese labs are allowed to release them)

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What if your AI agent could think twice before acting dangerously? Researchers from Fudan University present Thought-Aligner, a plug-in safety model that detects and corrects dangerous thoughts in real time, before they become

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what happens when you combine thousands of plasma proteins and AI?

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This article by Google DeepMind defines how AGI is a unique human-level general system, and ASI is a system or collective that surpasses large expert human organizations in almost everything. They argue that the leap could
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Has there been anything good written about the failure of Mistral to keep up with both the Big Three and Chinese labs? They have talent and national backing, but despite being Europe’s only frontier lab (Google Deepmind’s UK lab aside), they haven’t been able to close the gap