Plus, these judges are likely using free or default models. Even o1-preview significantly reduced hallucinations, let alone more recent or more grounded models. (Though, to be clear, AI should definitely not be used to create legal opinions from sitting judges at this point)
ETHICS
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PhD Supervision and Future Earnings: An Ethical Question
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I will supervise your PhD for free. I just want a cut of your future earnings.
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Context Rot Term Should Be Used More Frequently
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Context Rot is an excellent term and should be used more often
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AI Dependency in Code: A Problematic Cycle
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"If you don't understand the code, your only recourse is to ask AI to fix it for you, which is like paying off credit card debt with another credit card."
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China’s AI Development Relies on Student Labor and Public Data
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https://
restofworld.org/2023/china-ai-
student-labor/
… and https://
scmp.com/economy/china-
economy/article/3294867/chinas-ai-aspirations-boosted-public-data-allowed-labelling
… are two relevant stories -
Promoting Responsible AI Engineering Against Hype and Overpromising
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another important agenda i had was to push "responsible" ai engineering forward in as mass appealing a way as possible – a very difficult thing to do in a world of extreme hype tweets and flashy overpromising overproduced videos. https://
x.com/aiDotEngineer/
status/1950635169133797517
… so honored/happy to have -
Multi-Agent Systems: Honesty in Prompting and Post-Training Efficiency
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(i'm just memeing, no harm meant, multi agents is obviously the way, per https://t.co/dYMgFl7bFw , however 1) you should be @lateinteraction -level intellectually honest about your prompting and performance gains and 2) multiagent posttraining is going to be ooms more efficient…
— swyx 🐣 (@swyx) 30 juillet 2025(i'm just memeing, no harm meant, multi agents is obviously the way, per https://
x.com/latentspacepod
/status/1939848051847491652
… , however 1) you should be @lateinteraction -level intellectually honest about your prompting and performance gains and 2) multiagent posttraining is going to be ooms more efficient -
Trust and Explainability Key to Autonomous Vehicle Adoption
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Trust is key to AV adoption. “Only when cars can explain their actions like a driver can—will they be trusted like one,” Tin Son stated.
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Transparency Drives AI Adoption: Towards Physics-Aware Models
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Transparency and explainability will shape public adoption more than just technical milestones. So what’s next? Models that understand space, time, & physics.