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A batch of the best highlights from what J's read, .

A useful reading for anyone interested in AI risks is the official GPT-4 system card from back in March. It can help you understand what an advanced LLM without guardrails can do, since they give “before” and “after” examples. Appendix D has details. https://t.co/6yogWnUlTv https://t.co/GFZxSWyNMD ![](https://pbs.twimg.com/media/F_jLTuMWsAAb1Mm.jpg) ![](https://pbs.twimg.com/media/F_jLTuLX0AAEplj.jpg) ![](https://pbs.twimg.com/media/F_jLTuNWsAApIAT.jpg) ![](https://pbs.twimg.com/media/F_jLTuOXAAA5cxa.jpg)

Tweets From Ethan Mollick

@emollick on Twitter

In one day, Nvidia gained more market cap than the all of Intel 🤯 Plus, more announcements from Figure, Google DeepMind, Opera, and 15 new AI tools. Here's the rundown of everything going on in AI right now:

Tweets From Rowan Cheung

@rowancheung on Twitter

We tend to think of space-time as the pre-existing structure through which observers communicate. But Müller and Höhn flipped the story. Start with observers sending messages, and you can derive space-time.

Do We Create Space-Time? A New Perspective on the Fabric of Reality

Amanda Gefter

...catch up on these, and many more highlights