Pulse on AI

Pulse on AI: Why Languages Look Like Themselves, Apple’s AI Everywhere, and Smarter Long-Context Models


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Today on Pulse on AI: a statistical lens on the visual fingerprints that make languages recognizable; True Ventures on the app-layer upside of massive AI infrastructure spend; Apple’s rumored fall hardware with Apple Intelligence and the N1 wireless chip; Q-ROAR, a weight-only fix that stabilizes long-context LLMs in quantized settings; OpenAI and Apple’s motion to dismiss xAI’s antitrust suit, focusing on opt-in scope and data consent; the Wikidata Embedding Project for open, structured RAG; and GraphStorm v0.5’s push-button real-time inference for graph-based fraud prevention.

Sources:

  • OpenAI mocks Musk’s math in suit over iPhone/ChatGPT integration
  • Rethinking RoPE Scaling in Quantized LLM: Theory, Outlier, and Channel-Band Analysis with Weight Rescaling
  • Modernize fraud prevention: GraphStorm v0.5 for real-time inference
  • Apple TV 4K to feature A17 Pro chip and Apple Intelligence
  • California cops confused after trying to give ticket to self-driving car
  • From Web 2.0 To AI: How True Ventures Is Backing The Next Big Shift
  • AI-Powered Tools Enhance Global Innovation Strategies
  • New project makes Wikipedia data more accessible to AI
  • What Makes a Language Look Like Itself?
  • Jetzt Frühbucherrabatt sichern: IT Summit zum Thema Digitale Souveränität
  • La CNIL et Inria renforcent leur partenariat pour la protection des données personnelles et l'évaluation des algorithmes
  • Leading UK tech investor warns of ‘disconcerting’ signs of AI stock bubble
  • El creador de los efectos de 'Matrix' nos desvela su significado: "cuando Neo esquiva las balas, te está explicando la película"
  • My favorite iOS 26 feature makes screenshots even more useful - and it's easy to enable
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Pulse on AIBy Max Dreyfus