SynthID AI Detector: A Guide for Teachers
AI-generated images, videos, and audio are becoming increasingly difficult to identify by sight alone. Strange-looking hands and garbled text were once useful clues, but newer AI models produce far more…
Read More »Context Engineering Emerges as the New Blueprint for Building Reliable AI
For the past few years, the craft of coaxing good answers out of large language models has revolved around a single skill: writing better prompts. A new perspective paper published…
Read More »YouTube’s AI Slop Problem And How Marketers Can Compete
One in five Shorts that YouTube recommends to new users is low-quality, mass-produced AI-generated video, often described as “AI slop.” YouTube CEO Neal Mohan used that label himself in his…
Read More »Harness engineering is how AI developers are now trying to make agents work reliably | Explained
The story so far: For the past few years, improving AI largely meant improving what the model was told and what it could see. Prompt engineering emerged as a way…
Read More »AI-Powered Q&A for Shareholder Meetings|大石洋司
👺𝑚𝑒 When creating a Q&A for a shareholder meeting, is it possible to use AI to generate this year’s Q&A based on last year’s Q&A and data from actual…
Read More »How is Content Marketing Changing in the AI Era? 7 Perspectives on Cultivating ‘Information Only We Can Write’ Through Systems, Not ‘Mass Production’|AIに選ばれる会社をつくる人|AIO・GEO・AEO|地方暮らし
“Can’t we update a lot every day if we use AI to write articles?” “But won’t Google dislike articles written by AI?” “In the first place, is there any point…
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