Just happened in AI

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Geoffrey Hinton thinks AI needs “maternal instincts”

Geoffrey Hinton, one of AI’s founding minds, has a bold proposal: bake maternal instincts into AI systems. Not emotions. Not tenderness. But a built-in instinct to protect the humans they serve.

It’s a powerful shift in how we think about AI safety and who it’s really for.

Here’s everything you need to know:

• Hinton’s idea isn’t sentimental it’s structural: design AI to care, not just compute.

• Without regulation, AI can manipulate markets, spread disinformation, or make dangerous calls.

• The “maternal instinct” model means safety comes first even when it costs efficiency.

• Imagine AI that senses user distress and adjusts behavior, like a parent would.

• Businesses often fear regulation, but in AI, it’s a moat trust is the true differentiator.

• Other high-risk industries—aviation, pharma, nuclear didn’t scale until safety came first.

• AI is reaching that same inflection point: trust will decide who leads.

AI won’t protect us by accident. If we want systems that care, we have to design them that way on purpose. Hinton’s framing doesn’t just call for new code. It demands new values. And those might be the most important lines we ever write.

AI is the new weapon in every hacker’s toolkit

Cybercriminals, state spies, and security firms are all using AI now.
From phishing to patching vulnerabilities, large language models are transforming how hacking happens and who’s doing it.

Here’s everything you need to know:

• Russia used an AI tool in phishing emails to scan Ukrainian targets’ computers.

• It’s the first known case of malicious code built with large language models.

• LLMs can’t yet create super-hackers, but they’re speeding up the skilled ones.

• Cyber firms like Google and CrowdStrike are using AI to find vulnerabilities first.

• Google’s Gemini project has already uncovered 20+ bugs in widely used software.

• Criminals and nation-states are also using AI to scale attacks with better speed and precision.

• For now, the tech mirrors human skills—but it’s getting faster, cheaper, and more convincing.

The AI threat isn’t looming it’s live. But this isn’t a simple “good vs. evil” story. It’s an acceleration story. Every player in cybersecurity is being supercharged. The gap between defenders and attackers won’t come down to who has AI—but who uses it better.

Thanks for reading…

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