Can #Tech companies learn to love cheaper #AI models? by Russell Brandom @TechCrunch Learn more: https://
bit.ly/4fvWI54 #ArtificialIntelligence #MachineLearning #ML
MACHINE LEARNING
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Tech companies and the future of cheaper AI models
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Neuralink AI gives ALS patient their voice back
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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/eGKiGx31mlNeuralink AI Give ALS Patient Their Voice Back
by @Ellieinspace #MedTech #HealthTech #TechForGood #Tech -
How Artificial Intelligence Works by Sanksshep Mahendra
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How #ArtificialIntelligence Works
by Sanksshep Mahendra @aiplusinfo Learn more: https://
bit.ly/3Sx5SVe #AI #ML #MachineLearning #DeepLearning #NeuralNetworks -
Mistral, the only EU frontier model maker, walked away from it
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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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Big models better at everything; rethink smaller model assumption
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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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Mistral gave up on frontier models; open weights bet hinges on China.
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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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Thought-Aligner corrects AIs’ dangerous thoughts in real time
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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 AI Meets Thousands of Plasma Proteins?
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what happens when you combine thousands of plasma proteins and AI?
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Mistral’s struggle to keep pace with Big Three and Chinese labs
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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
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MiniMax Sparse Attention: index selects k KV blocks per group
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This article from Minimax adds a small Index Branch to GQA that selects the k most relevant KV blocks per group, then executes an exact softmax only on these blocks, making sparsity native to the GPU, with an exp-free TopK and kernels.