The Echoes in AI paper showed quite the opposite with also a story continuation setup. Additionally, we present evidence that both *syntactic* and *discourse* diversity measures show strong homogenization that lexical and cosine used in this paper do not capture.

Google just released a python library for data extraction! LangExtract is a python library that extracts structured information from unstructured text documents with precise source grounding and interactive visualization. 100% Open Source

AIPedagogy.org from metaLAB (at) Harvard & FU Berlin was already the best-designed introduction to AI for educators. I keep returning to it for creative, critical assignment ideas. Now it's even more user friendly and offers a space to compare chatbots and change their settings.

Great effort for all benchmarks.

I've written up some thoughts on publishing for machines. 10M research papers are published per year and there are 227M total - machines will be primary producers and readers of publications going forward. It's time to revise the scientific paper.

Increasingly, the findings of controlled experiments go much further: doctors with off-the-shelf AI outperform those without in diagnostics… but AI alone outperforms doctors. Harder to know what to do with that. What systems or interfaces will result in better human-AI teams?

Fwiw my feed has become mostly snake oil. Used to be decent record of new academic papers in AI. Will give it til Sept but then probably going to exit. I was really trying to hang on. 😒

AI in HR: in an experiment with 70,000 applicants in the Philippines, an LLM voice recruiter beat humans in hiring customer service reps, with 12% more offers & 18% more starts. Also better matches (17% higher 1-month retention), less gender discrimination & equal satisfaction.

A cultural analytics hypothesis if there ever was one.

GPT-5 at its finest. OpenAI

BREAKING: Google just turned Gemini into a full-blown AI school system. Teachers can now assign AI experts to students. Students can auto-generate quizzes and visual explainers. And it's all free in Google Workspace for Education. Here’s what just dropped 👇

AI efficiency is important. Today, Google is sharing a technical paper detailing our comprehensive methodology for measuring the environmental impact of Gemini inference. We estimate that the median Gemini Apps text prompt uses 0.24 watt-hours of energy (equivalent to watching an

🚨Breaking: Google just changed note taking forever. NotebookLM got massive upgrades. 5 Powerful features you can't afford to miss:

AI is becoming a serious full research partners that run the entire discovery loop. A 74 page survey paper on this. It names this stage Agentic Science and lays out a clean roadmap for building and evaluating such agents. The authors boil the agent down to 5 abilities,

Google Gemini has a cool new feature called "Guided Learning." It's like having an AI tutor that helps you learn step-by-step. You can learn things quicker with checks, quizzes, and pictures. Here's how it works plus some tips.

Going to strongly disagree with this one. The *last* thing we need is top down rules from admin on how to use AI.

Great opportunity to profile value of wiki data

Can’t wait to take for a spin with humanities computing