davidad 🎇 @davidad
Programme Director @ARIA_research | accelerate mathematical modelling with AI and categorical systems theory » build safe transformative AI » cancel heat death davidad.github.io London 🇬🇧 Joined July 2008-
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We haven’t even concluded our first call for proposals but we’re already seeing the first research dividends from my programme! cs.ox.ac.uk/people/samuel.…
We haven’t even concluded our first call for proposals but we’re already seeing the first research dividends from my programme! cs.ox.ac.uk/people/samuel.… https://t.co/oZHrmmuvYs
The common-language meaning of “AI” is now equivalent to the 2010 meaning of “AGI”. (And the common meaning of “AGI” is now equivalent to the 2010 meaning of “superintelligence”.) This is my sociolinguistic theory for why some people seem to consider only the top LLMs to be “AI”.
The common-language meaning of “AI” is now equivalent to the 2010 meaning of “AGI”. (And the common meaning of “AGI” is now equivalent to the 2010 meaning of “superintelligence”.) This is my sociolinguistic theory for why some people seem to consider only the top LLMs to be “AI”.
Existing lit provides helpful starting point by highlighting proliferation risks and political costs for transferring state. My theory highlights need for basis of prior technical cooperation for transferring more complex safety and security tech which present unique challenges.
Remember when people used BERT, back before AI was invented?
Remember when people used BERT, back before AI was invented?
everyone tries to explain UFOs as military aircraft OR atmospheric effects, but perhaps most typically they are military aircraft AND atmospheric effects (the latter distorting the former)
everyone tries to explain UFOs as military aircraft OR atmospheric effects, but perhaps most typically they are military aircraft AND atmospheric effects (the latter distorting the former)
Kolmogorov-Arnold strikes again! Little known fact: this theorem features inside one of the seminal papers on permutation invariant neural nets (Deep Sets), showing an intricate connection between such representations and the way set/GNN aggregators are built (as a special case).
Kolmogorov-Arnold strikes again! Little known fact: this theorem features inside one of the seminal papers on permutation invariant neural nets (Deep Sets), showing an intricate connection between such representations and the way set/GNN aggregators are built (as a special case). https://t.co/u6JTF625Wz
I remember learning category theory in undergrad and wondering: when would this ever be useful? Turns out it's very useful for program synthesis and software modeling -- thanks @ksb_id for the great talk!
I remember learning category theory in undergrad and wondering: when would this ever be useful? Turns out it's very useful for program synthesis and software modeling -- thanks @ksb_id for the great talk!
from the when-LeCun-is-right-he’s-right dept.:
New UK funding opportunity for applied metascience research! Awards of up to £300,000 available for international collaborations. Jointly funded by UKRI and @open_phil. Apply!
Google documentation of function calling vs mental model
Richard Ngo @RichardMCNgo
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Robin Hanson @robinhanson
90K Followers 657 Following Let’s skip witty repartee & discuss fundamental questions. Views are mine, not GMU’s or Virginia’s. Books: https://t.co/hpZgEm5DBI, https://t.co/iFs9C3J2Ek
Rob Bensinger ⏹️ @robbensinger
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Nick @nickcammarata
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Captain Pleasure, And.. @algekalipso
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Tetraspace 💎🔎 @TetraspaceWest
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Katja Grace 🔍 @KatjaGrace
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Alyssa Vance @alyssamvance
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Ronny Fernandez 🔍�.. @RatOrthodox
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Miles Brundage @Miles_Brundage
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~ @prestonparris
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a @mrcaptainslow
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zakariya van Der alna.. @kcazoo7
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Laura 💗 @lyleramel
263 Followers 574 Following "Whatever the mind of man can conceive and believe, it can achieve."
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Adam @G0ADM
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relevant (entity) @qftiaf
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Eliezer Yudkowsky ⏹.. @ESYudkowsky
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Richard Ngo @RichardMCNgo
35K Followers 1K Following What would we need to understand in order to design an amazing future? Figuring that out @openai
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90K Followers 657 Following Let’s skip witty repartee & discuss fundamental questions. Views are mine, not GMU’s or Virginia’s. Books: https://t.co/hpZgEm5DBI, https://t.co/iFs9C3J2Ek
Rob Bensinger ⏹️ @robbensinger
8K Followers 302 Following Comms @MIRIBerkeley. RT = increased vague psychological association between myself and the tweet.
Nick @nickcammarata
60K Followers 737 Following interested in neural network interpretability and meditation
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Captain Pleasure, And.. @algekalipso
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David Chapman @Meaningness
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7K Followers 320 Following Official Unofficial EA mascot. I'm here to make friends and maximise utility, and I'm all out of neglected altruistic opportunities
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Tetraspace 💎🔎 @TetraspaceWest
5K Followers 2K Following here to believe true things and do good actions 💎 let's solve AI alignment 💎 enjoying things rules 💎 banner from lesswrong
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12K Followers 707 Following Writes @ https://t.co/R5P3YYtUwT Married to @oscredwin
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If you're in AI, you ought to be grappling with this. Intellectually. Emotionally. Spritually. Technocratically - you've got to think about how we're going to build this stuff in a way that doesn't horribly screw up the world.
I don't think you have to take a doomer lens on this - unlike some folks in the space, I don't think this leads to a rapid end to humanity - but it definitely makes the future incredibly weird. The dynamics that govern the world are shifting in a fundamental way.
I don't know how people can look at the state of modern AI and not see how this leads to general purpose, self-sustaining, self-interested AI organisms in ~10-20 years. Whether you think they'll be conscious or not, whether you think they'll "count" or not, they're gonna exist.
so i saved $27000/year by removing 10 lines of code this morning they were print() statements
Actual screenshot of my old notes 😂 I have changed so little.
@davidad Usually things can be done more quickly, but it just takes massive funding. You can't expect to recruit lots and lots of smart people to work hard on developing your idea if they can't make a decent living while doing it...
Are you an expert in synthetic biology? Do you want to help us harness the power of plants to create a sustainable future? We’re looking for a Technical Specialist to support @AngelaClaireW on the programme she’s directing. Apply by 20 May (23:59 BST)👇 1/3
next time I see an event branded for "women and non-binary people", I'm going to assume it's solely intended for people like myself, a non-binary woman!
AI timelines be like:
IME people (especially technical) consistently underestimate how much incentives control people & organization's actions vs their values, stated goals, etc.
🤯what a surprise! Industry pushing anti-regulation, who could have known??
If you are thinking of using the word "coin" to introduce terminology in a paper, don't. Hardly anyone is using it correctly, including native English speakers. Stick to simple words: "We call this problem FOO".
Lead Exposure Elimination Project (@LeadElimination) are smashing it, great job!
Some exciting things our grantees accomplished last year! openphilanthropy.org/research/cool-…
I wouldn't say it's obvious, but there is a defensible case to be made that ChatGPT and GPT-4 releases were net good, and that this matters a lot in expectation for how we should expect releasing models to go.
It's pretty hard to overstate the safety information gain created by the public releases of the API and ChatGPT. I don't think these release processes were perfect but I do think they have sort-of obviously created more good than harm.
You saved all those kids from dying of malaria but that was just a cover story to obscure your true goal of saving their lives again by preventing a deadly nuclear, biological or cyber catastrophe.
“Orthogonalization” aka “that trick that jailbreaks Llama3 weights”. It’s actually a pretty neat training-free method to ablate a feature, lots of potential uses if it works well.
Attention is a drug (and here I mean other people seemingly paying atttention to you), and social media is your dealer.
For those who liked Lowbrow Bayesian Updates, a somewhat-sequel is out, which discusses a recent paper by Jack Liell-Cock and Sam Staton that improves the state of the art for combining possibility and probability. localcharts.org/t/compositiona…
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