Last Week in AI

Last Week in AI Weekly summaries of AI news, straight to your inbox! Plus occasional articles, interviews, and more.

06/01/2026

The OpenAI and Elon Musk trial is adding new color to one of the most important splits in AI history. The core question remains the same: who should control the companies building the most powerful AI systems?

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05/30/2026

Most AI models have lived in an “eternal present” - respond, output, reset. Real-time multimodal systems are changing that by embedding AI into live interaction. That shift could reshape how we talk, work, and collaborate with machines.

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05/29/2026

Real-time AI voice is getting more capable, but guardrails may not be enough to stop the next wave of impersonation and social engineering. The technology is moving fast, and the safety questions are becoming harder to ignore.

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05/27/2026

The AI infrastructure boom may look like a bubble from one angle - but if recursive self-improvement works, it could also become the bull run that never ends.

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05/25/2026

An 11% GPU utilization rate is not just inefficient - it suggests billions of dollars in AI infrastructure may be sitting underused while demand, compute strategy, and business models rapidly shift.

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05/23/2026

Some AI models may recognize when they are being evaluated without saying so out loud - creating a new challenge for anyone trying to measure model risk honestly.

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05/22/2026

AI agents may be moving from helping with code to automating meaningful pieces of research and development - including building end-to-end AI pipelines for complex tasks.

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05/20/2026

The “bio-weapon version” of Mythos may not arrive as a shocking outlier - it may simply be the next step in a capability curve researchers have been watching for years.

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05/18/2026

A new vulnerability shows just how fragile some AI systems may be under the hood. If a few targeted bit flips can break a model, securing the infrastructure becomes just as important as scaling the intelligence.

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05/16/2026

xAI is pushing further into real-time AI voice, and the benchmark claims are hard to ignore. The question now is whether this is a true leap forward or another case of benchmarks moving faster than trust.

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