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Category: AI

How Did My Predictions for 2026 Hold Up? Blog How Did My Predictions for 2026 Hold Up? Last December I shared my forecasts for 2026 in a NewMR presentation, and in January I added a… 10 October 2026 The Pew Study Is Interesting, But It Does Not Settle Whether Synthetic Data Works Blog The Pew Study Is Interesting, But It Does Not Settle Whether Synthetic Data Works Pew’s new study of synthetic respondents is one of the strongest public tests yet, but it should not… 2 October 2026 The other existential risk for market research Blog The other existential risk for market research Market research is debating whether AI will replace researchers, research agencies, panels, and much of the work people… 12 September 2026 When several AI services fail at once: the continuity question for insights teams Blog When several AI services fail at once: the continuity question for insights teams Several leading AI services were disrupted within the same few hours on Thursday. OpenAI reported around two hours… 4 September 2026 What Is So Worrying About Recursive Self-Improvement? Blog What Is So Worrying About Recursive Self-Improvement? Recursive self-improvement, or RSI, sounds like science fiction. RSI is when AI improves itself, then the improved AI… 5 August 2026 AI Update – 3 August 2026 Blog AI Update – 3 August 2026 Here are three big themes from last week';s AI news. AI moves from conversation to action: three developments… 3 August 2026 Open-weight AI: four ways to use it and why access matters Blog Open-weight AI: four ways to use it and why access matters Open-weight AI is often discussed as though releasing the model automatically makes AI accessible. In practice, access depends… 1 August 2026 When the model vanishes overnight: the lessons from the Fable ban and its implications for your AI supply line Blog When the model vanishes overnight: the lessons from the Fable ban and its implications for your AI supply line Anthropic's two most capable models disappeared for everyone in a single evening. For research teams now building on… 20 June 2026 Myth Number 2: MIT Showed That 95% of AI Pilots Fail Blog Myth Number 2: MIT Showed That 95% of AI Pilots Fail Perhaps the most commonly quoted statistics about AI projects is that 95% of them fail, according to MIT.… 31 May 2026 AI Myth Number 1: AI Cannot Produce Anything New Blog AI Myth Number 1: AI Cannot Produce Anything New AI only repeats what it was taught. That is a comforting line that appears whenever AI comes up… 25 May 2026