Tech Is Taking Over Olympic Curling. But the rise of robots and AI may disrupt the sport’s ethos! https://
share.google/K4thm6wg0apSny
RYv
… #Olympics26 #Olympics26 #Robots #robotics #Robotech #AI #sports #ArtificialIntelligence
ETHICS
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Robots and AI Disrupt Olympic Curling Tradition
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Strongest Governance Challenges for AI Development
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dev to dev: what's the hardest part of ensuring strong governance over AI? pic.twitter.com/RuIK2fg68y
— DataRobot (@DataRobot) 19 février 2026dev to dev: what's the hardest part of ensuring strong governance over AI?
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Coding Assistants’ Limited View of Correctness and Long-Term Code Quality
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Coding assistants don't get much reward signal for long-term considerations, so they view correctness narrowly. It's easy to wave off style debates and the idea of "anti-patterns", but there's an important idea at the heart of it.
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LLM-assisted development risks and prevention strategies
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Mate I'm well aware of that risk, you can read some my thoughts about LLM-assisted development here: https://
honnibal.dev/blog/llm-style
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…. Deleting my home directory would definitely be inconvenient so I'd like to take steps to prevent it. -
AI evolving into true partners with self-pauses
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Great research. Sessions doubling to 45+ min shows AI evolving into true partners via reliable self-pauses for clarity/ethics. Human oversight stays essential.
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Galgotias University robot display at AI summit questioned
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Very disturbing to see the news on Galgotias University. Even if the intent was not to proclaim the development, what is the purpose of displaying a purchased robot at an AI summit?
→ View original post on X — @skathirmani, 2026-02-19 03:54 UTC
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AI Model Autonomy Evaluation Beyond Pre-Deployment Assessment
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A central lesson of this work is that autonomy is co-constructed by the model, user, and product. It can't be fully characterized by pre-deployment evaluations alone. For full details, and our recommendations to developers and policymakers, see the blog:
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Agentic AI Tools in Software Engineering and Risk Monitoring
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Software engineering makes up ~50% of agentic tool calls on our API, but we see emerging use in other industries. As the frontier of risk and autonomy expands, post-deployment monitoring becomes essential. We encourage other model developers to extend this research.
