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Opinion#Reasoning
Nov 10Tue
  1. One Useful Thing78

    Ethan Mollick practically tests Claude Fable 5.2: Close but not complete AGI

    Ethan Mollick, after trying out Claude Fable 5.2 before its public release, believes that according to the definition of 'achieving the level of most human experts on most available computer-completed intellectual tasks,' it is close to AGI but still has a gap.

    Why it matters: The author uses six cross-domain practical cases to illustrate that the model's ability has approached general intelligence, but lacks the ability to judge whether works are good or bad.

Oct 24Sat
Oct 20Tue
  1. Tessl Blog75

    From Standalone Coding Tools to Development Platforms: How Trust Affects the Adoption of AI Code Assistants

    Engineering teams' trust in AI code assistants determines their scope of use, ranging from viewing code differences to full authorization for merging. Trust is built through rapid validation mechanisms. Development platform costs increase with the intensity of AI agent work, with about 80% of the budget consumed by 20% of heavy users, requiring an evaluation of the effective cost per unit of work. Successful teams start with auxiliary tasks and gradually expand the scope of AI, rather than applying it directly to core systems.

Oct 10Sat
  1. Interconnects65

    Researchers expect AI to surpass its performance in the workplace in a few years, but not general superintelligence

    Researchers predict that AI will surpass its performance in work in the next few years, but it will not be general superintelligence. The infrastructure and engineering capabilities of models will be significantly accelerated, making experiments and model adjustments easier to implement, but it will not change the nature of the model. The effective cost of AI intelligence is expected to decline exponentially in the coming years, and demand will increase as industries explore the direction and delivery methods of intelligent agents.

Sep 25Fri