Skills

A new Norwegian science study reports that young people aged 9 to 18 are increasingly turning to AI chatbots instead of Google for information and everyday questions. Researchers say the shift is happening quickly and its consequences for how children learn, judge sources and develop search skills are not yet understood, prompting calls for closer attention from educators and parents.

Wired reports on a new wave of AI research that trains models on how real people play video games, including their mistakes and sloppy habits, rather than only on expert or scripted play. The idea is that human error contains useful data for teaching AI systems to behave more naturally. The piece is being shared and discussed in tech and gaming circles.

A British startup is turning video game controller inputs into training data for AI models designed to navigate the physical world. The idea is that human gameplay, including mistakes and clumsy manoeuvring, offers rich examples of how people learn to control complex systems, which could help robots and other embodied AI improve. The approach is drawing attention as a cheaper alternative to real-world data collection.

The use of robots in therapy for autistic children is being scrutinised in a new discussion about its ethical implications. Critics are asking whether robotic interventions genuinely help children develop social skills, or whether they risk replacing human contact and raising questions about consent, dependency and the commercialisation of care. The debate reflects growing attention to how assistive technology should be used with vulnerable groups.

Sakana AI has introduced SAIL, a research project on scaling in-context imitation learning, aimed at teaching robotic systems new skills by letting them learn from demonstrations within context rather than through task-specific retraining. The announcement is drawing attention from robotics and AI researchers interested in whether scaling in-context learning can improve general-purpose robot behavior.