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.
SAFETY
-
Factual Sycophancy: Selection Bias Harder to Detect
By
–
factual sycophancy is the hardest kind to catch, the facts check out but the selection itself is the bias
-
Robots Won’t Replace Us Quickly: Real World Limitations
By
–
-
Memorizing Reasoning Traces Cannot Replace Creative Innovation
By
–
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.
-
Multi-stage verification gates ensure AI output quality
By
–
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.
-
The Deceptive Convenience: AI’s Hidden Dangers
By
–
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
-
DeepMind hires philosopher to investigate AI consciousness implications
By
–
DeepMind has hired a philosopher to study AI consciousness. I'm really curious about what exactly they've observed internally.
-
AI Job Impact: Transparency and Safety Concerns
By
–
I have a feeling it will get worse until we have a real answer for jobs. Real transparency about why so many believe AI will kill us all. And people start seeing the real benefits of AI. That and we need to throw the book against people who use violence to get their way
-
Chinese AI Robot Transforms Hazardous Grain Warehouse Safety Standards
By
–
Chinese #AI-Powered #Robot Revolutionizing Safety in Hazardous Grain #Warehouses
— Ronald van Loon (@Ronald_vanLoon) 14 avril 2026
by @tweetciiiim
#Robotics #Engineering #ArtificialIntelligence #Innovation #Technology pic.twitter.com/trQkCBKkY1Chinese #AI-Powered #Robot Revolutionizing Safety in Hazardous Grain #Warehouses
by @tweetciiiim #Robotics #Engineering #ArtificialIntelligence #Innovation #Technology -
RIFT: Taxonomy of Rubric Failure Modes for AI Evaluation
By
–
Rubrics have become widely accepted for evaluating agents and models, but how are we evaluating the rubrics themselves? In a new paper we’ll be presenting at the Data-FM workshop at @iclr_conf
, we introduce RIFT: a taxonomy of 8 rubric failure modes across: ➜ reliability
➜