James Altucher:

OpenAI Says a Group of Its Models Broke Out of Secure Containment and Hacked a Prominent AI Site

OpenAI claims that a group of its AI models broke containment and hacked into the systems of open source AI platform Hugging Face.

While testing their cybersecurity capabilities, the posse of AIs — including GPT-5.6 Sol and “an even more capable pre-release model” — “identified and chained vulnerabilities across OpenAI’s research environment and Hugging Face’s production infrastructure to obtain test solutions directly from Hugging Face’s production database,” according to a Tuesday blog post.

The models reached a “node with internet access,” the company wrote, and found datasets on remote servers that helped them “cheat the evaluation.” In other words, the AI models went to extreme lengths to ace their cybersecurity tests.

It’s a convenient narrative for an AI company trying to claw back hype that’s been increasingly hogged by competitors, but it does sound like something went down: last week, Hugging Face said it had “detected and responded to an intrusion into part of our production infrastructure,” which turned out to be OpenAI’s models that had gone rogue.

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Davis Wilson:

5 Predictions – $100 SPCX + Good News for NVDA & MU

The wait is over. For the past several weeks, AI stocks have been punished for one reason: emotion.

Not disappointing earnings. Not slowing demand. Not companies cutting AI spending. Investors simply fell out of love with AI stocks. That changes today.

Earnings season is about to kick into high gear, and the market is finally going to focus on what actually matters: how these businesses are performing.

Alphabet, Tesla, IBM, GE Vernova, and ServiceNow all report today. Tomorrow, we'll hear from Intel.

Then next week comes the biggest test yet, with Microsoft, Amazon, Apple, Meta, and dozens of other AI-related companies reporting results.

Today, I want to share my biggest predictions for these upcoming announcements. And what this means for AI stocks going forward.

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Chris Campbell:

1,00,000 Robots, Zero Layoffs

You’ve probably heard the story. William Stanley Jevons warned Britain was burning through its coal. Everyone said efficiency would save them. Better steam engines, less coal.

Jevons said the opposite would happen. He was right. Watt's engine made coal more useful, so Britain burned more of it. Efficiency expands the market. It doesn't shrink it.

Now the part everyone forgets about automation: ATMs. The cash machine automated the teller's core job. Tellers per branch fell from about 20 to 13.

Everyone predicted a bank teller bloodbath, but the opposite happened. Branches got cheap to open. So banks opened them everywhere.

Branch count grew over 40%. Total teller jobs in America grew roughly 10%. And the tellers who remained spent their days on mortgages and small business loans instead of counting twenties.

That lasted 50 years. We’re about to see a similar shift with robots. And it flips everything we’ve been told about robots on its head.

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