Credible Voices

In this landscape, there is a noisy mix of serious technologists and some very unserious hustlers. How do you know who to listen to?

Here are some credible voices that I feel are being honest about things they don’t know, but they also happen to know quite a lot and are worth subscribing to their newsletters or just following them on socials.

Stat Trackers

<aside> 📏

Some of the better LLM ‘leaderboard trackers’ that measure key stats across all the currently available open and closed systems.

for open-source systems, https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard
https://lmarena.ai/?leaderboard
https://artificialanalysis.ai/leaderboards/models
https://gorilla.cs.berkeley.edu/leaderboard.html
Which countries are most AI vibrant? see, https://aiindex.stanford.edu/vibrancy/ </aside>

Research Voices

<aside> 🎓 Anyone working at CSAIL at MIT https://ei.csail.mit.edu/people.html

</aside>

<aside> 🎓 LMSYS.org https://lmsys.org/about/

</aside>

<aside> 🎓 Dr. Fei-Fei Li, pioneer in AI field, now founder/director of World Labs https://profiles.stanford.edu/fei-fei-li World Labs is working on what comes next after LLMs, which they refer to as “Spatial Intelligence”, which are AI models that natively represent the 3d world in time.

https://www.youtube.com/watch?v=vIXfYFB7aBI

</aside>