A publication focused on telling stories and publishing analysis about how AI is diffusing into the real world today
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 5 | Founded | 9 months ago | Last Issue | a month ago |
| Active | |||||
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diffuseai.pubLatest Issues
The Structural Barriers to AI Lawyers
Law was supposed to be easy for AI.
The profession runs on documents. Contracts, briefs, motions, discovery requests, regulatory filings. Every billable hour leaves a paper trail. And unlike medicine, where AI must contend with the complex...
Democratizing Discovery: Large Language Models (LLMs), Hackathons, and the Future of Materials Science and Chemistry Research
Large language models (LLMs) are rapidly changing scientific research. Anthropic, OpenAI, Google, FutureHouse, and others have all shared recent work documenting the expansive scope. The claims range from e.g., compressing six person-months...
AI Diffusion into the Feed
Over the Lunar New Year break, the parent company of TikTok, ByteDance, released its latest text-to-image and text-to-video model and app called Seedance 2.0. Its debut was so good it sent shockwaves across Hollywood and sparked deep anxiet...
Diffuse AI: Issue 1
Friends,
We are excited to share that Issue 1 of Diffuse AI is now coming to an inbox near you. For our inaugural issue, we’re excited to have the following contributors:
- – Diffusion into the Feed: Mini-Dramas, AI-Native Entertainment...
Announcing Diffuse AI
AI is eating the US economy. It’s a bubble. It’s normal technology. It’s going to be the biggest thing since the internet, or electricity, or fire. It’s slop. It’s God. It’s plateauing. It’s going to replace us all.
Everyone wants to know...
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| Subscribers | Engagement | 75 | Monthly Web Visits | ||
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Authors
The writers behind this newsletter.
Pondering possible futures
"Monsieur, I absolutely cannot tell you if it has been raining. I live so resolutely beyond physical contingencies that my senses do not bother to notify me of them." —ML engineer + hobbyist writer/interviewer, based in SF. Views are my own, etc
Analyzing, writing, and podcasting about the business of AI/ tech, with a focus on APAC. Formerly, Alibaba, CNBC, advised PayPal, Kuaishou, etc. A decade of covering and working in tech.
Director of the AI & Legal Tech Studio, Sandra Day O'Connor College of Law, Arizona State University
Editor in Chief of Asterisk Magazine
Leading development of the AI infrastructure needed to speed scientific discovery | AI4Science | Globus Labs, U of Chicago, Argonne
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