Sitemap - 2024 - Learning From Examples
What I got wrong about AI in 2024
How Far Behind Are Open Models? [TWIE]
Please don’t think step by step [TWIE]
Different name, different response [TWIE]
Raising a glass to robotics [TWIE]
The great algorithmic polarisation show [TWIE]
Moral superintelligence [TWIE]
Who decides what is art? [TWIE]
The cruelty of the Turing test
The predistributive principle [TWIE]
Misunderstanding model collapse [TWIE]
Questionable practices in machine learning [TWIE]
An IAEA for AI? The Early History of the International Atomic Energy Agency
Recommender systems are everywhere [TWIE]
AI detectors still don’t work [TWIE]
How open is open-source AI? [TWIE]
Prizes, complexity, security [TWIE]
Misinformation, adoption, start-ups [TWIE]
Cultural awareness, usage, cheating [TWIE]
Seoul summit, transparency, information security [TWIE]
Societal hardening, control theory, forecasting AI policy [TWIE]
Machine understanding, democracy, and video generation [TWIE]
Trust and uncertainty, creativity, and defence [TWIE]
Public compute, pluralistic alignment, LLMs in biology [TWIE]
Frontier ethics, persuasion, music generation [TWIE]
Agents, music, and LLMs in science [TWIE]
Collective intelligence, silver spoons, and sustainability [TWIE]
Model merging, AI and the economy, contesting AGI [TWIE]
More compute governance, forecasting AI, and algorithmic efficiency [TWIE]
Claude 3, Chatbot Arena, and epistemic risk [TWIE]
A short history of the National Institute for Standards and Technology [Part two]
A short history of the National Institute for Standards and Technology [Part one]
Video generation, antagonistic AI, and compute governance [TWIE]
Reading ancient scrolls, inside Common Crawl, and mental health chatbots [TWIE]
Biorisk overpriced, ‘leaked’ Mistral model, and cognitive bias [TWIE]
A science of evals, cybersecurity, and power-seeking behaviour [TWIE #23]
The Week in Examples #22 [20 January 2024]