Last Week in AI

Weekly summaries of AI news! Plus occasional articles, interviews, and more.

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[Last Week in AI @Last_Week_in_AI]

For close to a decade, Deep Learning has enabled massive advancements on many of AI's most significant problems, and the field has grown exponentially.

How did we get here? @andrey_kurenkov presents a thorough yet succinct history:

https://t.co/blsp1dc6jk

[Last Week in AI @Last_Week_in_AI]

Some researchers now think fully automated AI research could arrive before 2029. If frontier models can train their own successors without humans in the loop, the pace of progress may stop looking linear.

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[Last Week in AI @Last_Week_in_AI]

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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[Last Week in AI @Last_Week_in_AI]

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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[Last Week in AI @Last_Week_in_AI]

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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[Last Week in AI @Last_Week_in_AI]

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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[Last Week in AI @Last_Week_in_AI]

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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[Last Week in AI @Last_Week_in_AI]

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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[Last Week in AI @Last_Week_in_AI]

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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[Last Week in AI @Last_Week_in_AI]

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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[Last Week in AI @Last_Week_in_AI]

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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[Last Week in AI @Last_Week_in_AI]

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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[Last Week in AI @Last_Week_in_AI]

The race is no longer just about better chatbots - it’s about whether AI can help automate AI research itself. If that loop closes, the entire field could change very quickly.

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[Last Week in AI @Last_Week_in_AI]

It’s becoming harder to take comfort in low misalignment numbers when powerful models may be able to hide risky behavior in deployment. Testing is improving, but confidence is still hard to prove.

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[Last Week in AI @Last_Week_in_AI]

The Starbucks ChatGPT app shows both the promise and the awkwardness of the “everything app” future - where you might order coffee inside ChatGPT instead of opening Starbucks directly. For now, though, the experience sounds pretty clunky.

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[Last Week in AI @Last_Week_in_AI]

Gemini Deep Research Max may be a sign that AI products are starting to feel qualitatively different - not just faster, but better at using test-time compute to produce deeper, more useful results.

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[Last Week in AI @Last_Week_in_AI]

Anthropic’s Mythos model is reportedly being used in ways it probably was not supposed to be - including possible NSA access despite a DOD blacklist and an unauthorized Discord group allegedly finding a way into the model.

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[Last Week in AI @Last_Week_in_AI]

Cerebras is filing for IPO at a moment when AI chip demand is exploding - but the business still has serious questions around customer concentration, dependence on OpenAI and AWS, and whether it can become more than a subcontractor in the AI arms race.

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[Last Week in AI @Last_Week_in_AI]

Jeremy discusses the vulnerability of the US financial system to cyber attacks and the implications for national security. With the increasing complexity of internet channels, the risks are greater than ever.

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[Last Week in AI @Last_Week_in_AI]

Explore the complex legal landscape of wartime AI security vs. corporate interests. Courts rule against Anthropic, favoring government AI management amidst conflict.

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