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Richard Ngo

@RichardMCNgo

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studying AI and trust. ex @openai/@googledeepmind

San Francisco, CA
Joined October 2009
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@RichardMCNgo
Richard Ngo
1 year
I increasingly believe that there are fundamental principles which simultaneously govern the designs of well-functioning minds, organizations and societies. Once we pin them down with mathematical precision, we’ll understand the world more deeply than we can currently imagine.
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@RichardMCNgo
Richard Ngo
1 day
RT @DavidDuvenaud: The second keynote was @RichardMCNgo on “Flourishing in a highly unequal world”. He argued that future beings will vary….
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@grok
Grok
16 days
Blazing-fast image creation – using just your voice. Try Grok Imagine.
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@RichardMCNgo
Richard Ngo
1 day
RT @HiFromMichaelV: It was also a way to create a permanent state of exception and preserve the military mobilization of the Second World W….
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@RichardMCNgo
Richard Ngo
2 days
RT @MatharyCharles: Today's reading:. In effect, re-interprets the outer optimization step in DiLoCo / FedOpt as a form of batched model en….
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@RichardMCNgo
Richard Ngo
5 days
RT @darengb: @nickcammarata On the Origin of Species actually cited Empedocles as the first source for a theory of natural selection in in….
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@RichardMCNgo
Richard Ngo
8 days
The very best researchers instead do step 2: “understand the formalism and its limitations”. But most instead do step 2: “accept the formalism and work within it in a way that subtly constrains their thinking”. See e.g. ML researchers confronting the rise of deep learning.
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@RichardMCNgo
Richard Ngo
8 days
I’ve often gone through a cycle of:.1. Try to understand a formalism.2. Bounce off it.3. Think “well I’ll just try to understand the phenomenon on an intuitive level for now”.4. Come back later and realize that the formalism is actually very limited and badly-motivated. Examples:.
@RichardMCNgo
Richard Ngo
4 years
Ten abstractions that turned out to be much less robust than I'd expected:.- Evolutionary fitness.- GDP.- Economic welfare.- International law.- The scientific method.- Pleasure/suffering.- Personal identity.- Most ML theory.- Planning.- Rationality. Brief explanations ⬇️.
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@RichardMCNgo
Richard Ngo
8 days
Sometimes I wonder whether my biggest comparative advantage as a researcher is that I’m not good enough at math to get lost in formalisms.
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@RichardMCNgo
Richard Ngo
8 days
RT @Tim_Hua_: AIs can have secret “backdoors:” Can we uncover them?. Maybe! We study models that misbehave in an unknown situation, and suc….
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@RichardMCNgo
Richard Ngo
13 days
Only a few minutes after posting this, an example popped up in one of my group chats. A leftist is claiming that the right runs the country now, and a rightist is responding by arguing that the left still runs all the important institutions. Underdog bias is everywhere.
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@RichardMCNgo
Richard Ngo
13 days
New post on underdog bias, which I think is the most important cognitive bias for understanding modern society.
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@RichardMCNgo
Richard Ngo
13 days
RT @tracewoodgrains: Unidentifiable, unaccountable officers are an exceptionally bad idea. How is this sort of thing distinguishable to onl….
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@RichardMCNgo
Richard Ngo
14 days
I keep seeing people and movements cause the opposite of what they were trying to achieve. This phenomenon seems important to understand if you want to actually move towards your goals. I call it pessimization, and I write about it in my latest post (link below).
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@RichardMCNgo
Richard Ngo
14 days
RT @joannejang: i think everyone in ai should think about what their "line" is. where if your company knowingly crosses that line and won'….
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@RichardMCNgo
Richard Ngo
16 days
RT @james_s48: An approximation I like is that an H100 is roughly a studio apartment
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@RichardMCNgo
Richard Ngo
16 days
@nathancofnas Another recent thread on this broad idea:.
@RichardMCNgo
Richard Ngo
16 days
I used to believe this because I pictured coordinated oppression as Hollywood-villain conspiracies. But most modern oppression (like anti-black racism in the 1900s or anti-white racism in the 2000s) is instead coordinated via self-propagating patterns of misaligned incentives.
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@RichardMCNgo
Richard Ngo
16 days
@HiFromMichaelV @ben_r_hoffman @benlandautaylor Since most people won’t read the posts, and the thread is kinda abstract otherwise, here are the two most relevant excerpts. This thread is also very relevant:
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@RichardMCNgo
Richard Ngo
17 days
Flocks of birds and schools of fish create flashy intelligent-seeming patterns via following the collective. Humans do the same but in the space of ideas. We construct vast intellectual edifices whose organizing principle is just “end up where everyone else is going, sooner”.
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@RichardMCNgo
Richard Ngo
16 days
Consenses of power and centralized conspiracies are both allergic to transparency. But consenses of power are more like a disease to diagnose than a conflict of fundamental interests. Thanks to @HiFromMichaelV, @ben_r_hoffman and @benlandautaylor for helping me understand this.
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@RichardMCNgo
Richard Ngo
16 days
I call these patterns “consenses of power”. They’re emergent/distributed conspiracies which, despite some superficial similarities to centralized conspiracies, have very different dynamics. More in this post (and the follow-up, Elite Coordination via the Consensus of Power):.
@RichardMCNgo
Richard Ngo
6 months
This post was inspired by the OpenAI board coup but it's not *about* the OpenAI board coup—it aims to describe very general theoretical dynamics. Many thanks to @timurkuran, @naunihalpublic and @ericneyman, whose writings this post is based around. Link:
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