Tag
A reflection on AI or technology progress, noting that while growth may not be exponential, incremental progress is still valuable.
Discussion on whether AI agents are transitioning from impressive demos to genuinely useful tools in research, coding, operations, and personal productivity.
Paul Graham shares a link about exponential growth observed as early as 5000 BC.
Steeve Morin reports running Llama 3.1 3B on Tenstorrent hardware via ZML, achieving 26 tok/s, close to Tenstorrent's claimed 33 tok/s.
Discusses the persistent challenges that prevent AI agents from reliably handling real-world tasks, such as changing websites and inconsistent workflows, despite progress in task execution.
This paper introduces engagement forecasting for intelligent tutoring systems, predicting weekly minutes practiced and new skills mastered using interaction logs from 425 middle-school students. Feature-based models reduce error by 22-33% over heuristic baselines, offering explainable patterns for tutor-learner goal setting.
Fields Medalist Timothy Gowers reports using GPT5.5 Pro to solve open mathematical problems and predicts an imminent crisis in mathematical research due to rapid AI progress.