Morning Edition · Monday, June 29, 2026
A New Paper Argues Prompt Injection Cannot Be Fully Defended in Today's Architectures
Researchers offer a proof that models which share one embedding space for instructions and data lack the separation any robust defense would require.
A paper posted to arXiv, On the Inseparability of Instructions and Data in Shared-Embedding Sequence Models, takes up what its authors call the top security risk for applications built on large language models. Every prompt-injection defens…
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- Oracle Puts AI-Driven Job Cuts in a Securities Filing, a First for a Company Its Size
- Washington Reopens Anthropic's Mythos Model to More Than 100 Trusted United States Firms
- A Chinese Open-Weight Model Is Reported to Match Claude on Cybersecurity Tests
- xAI Says Grok 4.5 Runs on a 1.5-Trillion-Parameter Foundation, but Only in Private Beta
- United States Data-Center Construction Spending Passes Transportation Infrastructure
- Researchers Propose Axioms to Test What a Model's Latent Reasoning Actually Represents
- A Training Paradigm Tries to Make LLM Agents Plan Ahead Instead of React
- Google Makes Its AI Coding Team Permanent and Pushes Into Midtraining
- Meta's Segment Anything 3 Pushes Open-Vocabulary Perception Toward Production
- OpenAI Maps Which European Jobs AI Will Change, Grow or Automate
- Anthropic Presses Lawmakers to Rebuild Institutions for an AI 'Exponential'