In a recent interview Dario was dismayed why he is considered an 'AI doomer' when he considers his AI outlook to be so positive. Then they build a jaw-dropping model, without a single mention of any new attempts at discoveries, scientific applications or health breakthroughs.
SAFETY
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AI Consciousness: Kurzweil Predicts Indistinguishability Soon
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Ray Kurzweil: AI will soon become indistinguishable from conscious beings. While it's hard to tell now, as AI continues to exhibit all the signs of consciousness, we'll eventually accept it as reality. The delay won't be long.
— Chubby♨️ (@kimmonismus) 14 avril 2026
The year 2026 will be marked by a resurgence of new… pic.twitter.com/D14Bwrn2pRRay Kurzweil: AI will soon become indistinguishable from conscious beings. While it's hard to tell now, as AI continues to exhibit all the signs of consciousness, we'll eventually accept it as reality. The delay won't be long. The year 2026 will be marked by a resurgence of new
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AI-Free Trust Disruption: Backlash or Responsible Future?
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The "AI-Free" Trust Disruption: Backlash or the Future of Responsible AI?
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AI exploit discovery capabilities versus human performance and costs
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No evidence so far that AI can find exploits a human couldn’t, or even do it at lower cost.
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Engineers’ Responsibility: Awareness of AI Impact Matters
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The engineers who should genuinely worry aren't the ones asking this question. They're the ones who haven't thought about it at all.
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Factual Sycophancy: Selection Bias Harder to Detect
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factual sycophancy is the hardest kind to catch, the facts check out but the selection itself is the bias
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Robots Won’t Replace Us Quickly: Real World Limitations
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Memorizing Reasoning Traces Cannot Replace Creative Innovation
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Simply retrieving a reasoning trace looks a lot like human reasoning, until it's time to navigate uncharted territory. If you memorized all reasoning traces of humans from 10,000 BC, you could automate their lives but you could not invent modern civilization.
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Multi-stage verification gates ensure AI output quality
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The staged approach works because each stage is a quality gate. You're not trusting the output, you're verifying it at multiple checkpoints before it goes anywhere.
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The Deceptive Convenience: AI’s Hidden Dangers
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The most dangerous thing about AI may be how helpful it feels.
— Pascal Bornet (@pascal_bornet) 14 avril 2026
That is what more people are starting to realize.
AI now drafts our emails, summarizes reports, helps us code, manages calendars, and answers questions in seconds.
Convenient, impressive, efficient.
But none of… pic.twitter.com/1t46mt4pWSThe most dangerous thing about AI may be how helpful it feels. That is what more people are starting to realize. AI now drafts our emails, summarizes reports, helps us code, manages calendars, and answers questions in seconds. Convenient, impressive, efficient. But none of