@ObadiaAlexi
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scaling trust @aria_research | https://nitter.cf/t.co/r2MLCQxlXK
Joined March 2016
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Update from us on the Scaling Trust Arena 🏟️
Excited to be working with @andonlabs, @BT6_Official and amododesign.com*! Check out the post, the draft spec, register your interest, and (please!) give us feedback 🤠
scalingtrust.org.uk/blog/upd…
alex retweeted
We're the only red team for @ARIA_research's Safeguarded AI programme, led by @ammannnora.
Each development cycle, we attack the code, its proofs, and everything those proofs rest on: the models, specs, assumptions, and deployment choices behind every team's assurance case.
AI-enabled cyber attacks are getting faster + going further. But what if AI-enabled formal methods could make high-assurance cyber defence practical at unprecedented speed + scale? We’re funding eight teams with £22m to test that idea. Meet them here: link.aria.org.uk/SAI-TA2-Cre…
Proud of our sister programme Safeguarded AI!!
currently watching -- nobelprize.org/prizes/econom…
we're running the first in a series of meetups on AI security & safety in London, co-organized with Meta! come hang out luma.com/2lraxd0n
love
Ugh no! — use a scalable name. This is what metric prefixes are for!
Average human intelligence can be 1 Brian. And we can scale by rough neural network connectivity, as it’s easy to measure.
NanoBrain - C Elegans
MicroBrain - Fruit Fly - 2015 AIs
MilliBrain - Mouse - 2020 AIs
Brain - Human - 2026 AIs
KiloBrain - 2030ish AIs
MegaBrain
GigaBrain - Humanity sums to ~8 GigaBrains.
TeraBrain
PetaBrain - Kardashev I earth brain world
ExaBrain
ZettaBrain
YottaBrain - Kardashev II Dyson Swarm Brain
Onwards to the YottaBrain!
Notes:
- Obviously you can have smarter or dumber intelligences in similar scale brains, but this is a rough approx of avgs.
- Obviously intelligence doesn’t add: 1,000 people are not 1000x smarter than 1. Sum just for rough reference
- We’ll make more energy efficient hardware, so take the Landauer limit into account
- We’ll figure out how to make intelligence more computationally efficient (but probably not by that many orders of magnitude)
- yeah yeah, there’s mistakes, correct them.
And here is Claude’s version:
alex retweeted
Happy to announce my latest work with @skominers and @SuccinctJT !
eprint.iacr.org/2026/2056
TLDR: we transfer the techniques from better.codes to yield 5-10% proof size reductions in several SNARKs today, and supply an efficient decoder for knowledge soundness
🧵/ n
alex retweeted
Introducing Scaling Trust Arena: an agentic economy with a multi-million dollar prize pool.
Together with @ARIA_research, @BT6_Official, and Amodo Design, we’ve set up a warehouse where anyone can submit agents to make physical goods or services, or to red-team others.
i recognize where this is coming from, and like the motivation for bipartisan gov action, but this is not the way
safe development, adoption and societal transition to ASI should be the goal rather than banning it
many criticising this, the nuance of the text seems to be lost on people (or maybe they didn’t read it all)
what mathematicians are saying in there makes sense to me, and seems solvable (probably by using AI to improve human explainability & scrutiny into the results)
Replying to @ns123abc
if you spend time reading it, the main argument is not about attribution/plagiarism, but that the labs are presenting the final solutions as if that is all there is to the problems, when the understanding and insights are the core part of mathematics in the first place.
alex retweeted
Today from Phillip Isola, MIT professor and computer vision legend:
“Every robot with an internet connection becomes a potential tool for Fable, Astra, and other AIs.” 🧵
alex retweeted
We're hiring.
Think: Sr partner at a venture incubator, but the outputs are Focused Research Organizations
Form the thesis, find the founders, build the boards, launch the org
AI resilience: bioresilience, cyber-physical systems, epistemic infrastructure, compute governance
alex retweeted
In an industry first, we’re piloting double-blind evaluations for frontier AI.
By creating a secure environment where neither test prompts nor model weights are revealed, we can ensure external safety and performance evaluations of our models remain private, robust, and trustworthy. → goo.gle/3St2xan
New essay! Where new intermediaries emerge in the age of AI, why their power could be systemically dangerous even in careful hands, and how, by keeping their power checkable and contestable, we might reap AI’s benefits without surrendering pluralism, privacy or safety. scalingtrust.org.uk/blog/wit…
AI discourse over the last few months has been full of parallels for me: the Mythos export controls reminding me of the Crypto Wars, the several letters on why open source open weights matters echoing the Free Software movement.. past doesn't repeat but it rhymes n all that
AI has potent information dynamics, it both (1) does better the more data it is fed, (2) has tremendous capabilities at digesting such data. A dangerous flywheel. In private conversations with friends, and at events over the last months, recurring convos have come up: worries around AI-enabled surveillance and influence campaigns, the lack of an ~EFF thing for this era, and the gap in the discourse for something that is neither full-speed-ahead AI accelerationism nor control-centric AI safety.
It's taken a while to gather my thoughts (and the help of a lot of people!), but I've now put together an attempt at laying out our thinking on the topic by looking at it from the lens of intermediaries.
This essay also serves to further motivate the £50m r&d programme we're running on multi-principal, multi-agent security at @ARIA_research. Let me know what you think!
Thank you to @James_D_Fox @sebkrier @lrhammond @lukaspet @MjaBradshaw @iamnotnicola @AmmannNora @m0namon @allisondman @ccatalini and Louise for very helpful conversations and reviews that shaped the post!!
alex retweeted
there's been a lot of recent, at times great, discussion about how to spend impending AI windfalls well. here's my 2 cents: why not use it to stand up independent, secure compute clusters dedicated to open AI safety and science research? foresightinstitute.substack.… in a world in which research depends on compute while compute prices and competition are skyrocketing, securing access while we can seems critical.
alex retweeted
No one believes the argument that Flock is just an extension of existing of surveillance cameras. As a whole, the system is something entirely new. p2p.coincenter.org/p/flock-i…
very excited for this going live! 🤠
The Institute for Responsible Superintelligence (RESI): a nonprofit founded by Shafi Goldwasser, Adam Kalai, Vinod Vaikuntanathan. @ShafiGoldwasser @Vinod_MIT @AdamFungi
resi.org
Our goal: build scientific foundations needed to make superintelligence safe by design