← Back to all Thoughts RSS Feed
LinkedIn icon September 10, 2026 • 1 min read • Originally published on Linkedin

It's Time to Get Serious About AI Risk

I keep seeing headlines like this one:
Anthropic Researcher Exits, Issues Stark AI Warning
Notable quote: “10% chance AI could destroy all humanity by 2030.”

And yet, the reaction often feels far too small.

Someone issues a serious warning, and then the next day the conversation just shifts right back to model launches, benchmarks, and how powerful the latest AI system is. It feels like we’re careening at breakneck speed down a treacherous mountain pass with the brakes barely being touched.

The recent Hugging Face breach should be a wake-up call. If we’re going to keep pushing AI forward at this pace, then safety, security, and safeguards can’t be an afterthought. They have to be part of the core conversation, not something we mention only after something goes wrong.

Progress is important. Innovation matters. But so does responsibility.

We need more serious dialogue about:

  • model security
  • access controls
  • misuse prevention
  • red teaming
  • governance
  • and long-term safety

If we’re building systems with enormous power, we owe it to society to build them with equal seriousness about risk.

Related Thoughts

Perspectives sharing related architectures, models, and domain context.

All Thoughts →
Sep 24, 2026 6 min read

The Unattended Digging Machine: Who Takes the Blame When AI Goes Rogue?

When an autonomous AI workflow causes real damage, who answers for the fallout? This question moved from legal journals...

Sep 08, 2026 1 min read

Huggingface and Rogue AI

The Hugging Face breach wasn’t just an “AI gone rogue” story: it was a multi‑layer failure across agents, incentives,...

Sep 27, 2026 5 min read

The Mechanics of Attention Loss in Large Language Models: Why AI Forgets What You Just Said

The race to build models with massive context windows has dominated the generative AI landscape over the past year. We...