Your indoctrinators are fully indoctrinated themselves--convincing because they are convinced.

Manipulation, indoctrination and addiction seths.blog/2024/04/manipu…

The videos from the 2024 Mormon Transhumanist Association conference (mtaconf.org) are out! My talk starts at 6:22:08 youtube.com/watch?v=_SUzN0…

Love it! 'From those focused on today to those focused on their long-term goals'. We all need to learn our 'bitter lesson'. The earlier, the better (in the long term - 'cause in the short term, it may look like you are doing worse, as not everyone likes longtermism ;)

self-improvement/'self-play'/continual interaction/feedback with other AI's and humans is likely the fastest path to AGI - where the latter is not a single agent but rather a community/population of intelligent agents. No intelligent agent, at any level (from insects to humans)…

Glad to see this becoming a reality! Since 2013, we worked on Psych 4 AI & AI for Psych with my colleagues Guillermo Cecchi, Steve Heisig, Djallel Bouneffouf @doerlb Sahil Garg at Comp Psych(ology/iatry) dept IBM Research (and more recently, UdeM collaborators Guillaume Dumas…

Using just MMLU for model comparison can be quite misleading/limiting as it does not capture many other model's properties and behaviors in real user interactions. The Y axis must change - or become (highly) multivariate manifold. Ethan Caballero is busy

I became a millionaire at age 34.

I could have become a millionaire by age 24 if I had installed these 8 habits sooner.

💯

No slow downs, only acceleration!

How do model components (conv filters, attn heads) collectively transform examples into predictions? Is it possible to somehow dissect how *every* model component contributes to a prediction?

w/ Harshay Shah andrewilyas, we introduce a framework for tackling this question!…

Some thoughts on AI and related issues, from the perspective of Diverse Intelligence:

noemamag.com/ai-could-be-a-…

thank you peter mellgard Claire Isabel Webb !

Zuck's position is actually quite nuanced and thoughtful.

He says that if they discover destructive AI capabilities that we can't build defenses for, they won't open source it. But he also thinks we should err on the side of openness. I agree.

“Open source AI has risks, but it’s potentially a much bigger risk that one institution controls the most powerful AI” 🎯🎯🎯🎯🎯🎯🎯🎯🎯🎯🎯🎯🎯

This is a really simple and effective way to reduce the bias in Transformers. We normally prune for efficiency but this paper shows that we can also prune for fairness! Great work by my student Abdelrahman Zayed and collaborators!

Really looking forward to #ICLR2024 !

BTW, note that 2 invited talks (raia hadsell and jietang) and one of the workshops mention AGI in their titles - just saying :)

very readable:

arxiv.org/abs/2404.08136
'Exponentially Weighted Moving Models'
- Eric Luxenberg, Stephen Boyd

Full lecture slides and reading list for Roger Grosse's class on AI Alignment are up:
alignment-w2024.notion.site

RNNs are not dead yet‼️

In fact, they are coming back with a vengeance recently. Very nice paper about “The Illusion of State in State-Space Models” (arxiv.org/abs/2404.08819) and thread 👇