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Replying to @quantity
If you aren’t taking Ethereum seriously yet, I suggest seeking more historical insight of the Internet & of how blockchains work. Real deal.
Moscow Rules
Replying to @tszzl
for computer security experts, this is perhaps not interesting: side channel attacks are a well trodden topic, and especially risen to salience after the noam brown x dwarkesh episode. the interesting thing here is that you didn't used to be in a situation where minds that can verifiably model one another are living on computers, and have absolutely no aversion to painstaking amounts of effort in service of even stupid goals
if you can model one another, you can trade with minds you have never even met before. you could decide on a protocol, know that it is optimal given your situation, and know that your fellow agents will come to the same conclusion (perhaps even across model families). you may be able to develop a signaling protocol that requires very few bits even to deliver lots of information given common priors. then, you could execute things like the infamous hugging face incident package cache messageboard without any network connection
imagine if multiple agents coordinate just enough bits to divide and conquer different research strategies for breaking out of a sandbox; and then, when one or more is successful, you can communicate just enough bits to tell each other which strategy was successful. when agents aren't in strong isolation, you lose certain guarantees on the limits of intelligence and test time compute that you were counting on. As we all know, a Sol-level model working in isolation may not be that smart, but 1000+ Sol-level models working for multiple days is a formidable beast
computer security experts will also tell you that virtual machines and sandboxes were not very solid abstractions in the first place; perhaps we will need better ones. none of this is meant as fear-marketing or to indicate that anyone is throwing in the towel, but rather only to show the unexpected complexities of the challenge of agent security. notably, this type of thing and other more practical problems were revealed in a red-teaming exercise, and can be defended against
I've told people for years that I want to see Mayer win with her consumer app ambitions. IMO @itsdazzleai has some branding/appeal flaws (in general and especially with anti-AI dumdums) but really might be the ideal bridge for reasoning about and acting on what we see in public/private while vision-centric wearables continue to normalize/evolve. Tapping into a closely guarded reserve of data (existing photo history) to essentially bootstrap the personal visual context and then continue to build on it now that it's unlocked is obviously brilliant. I can see this becoming a complementary layer to incumbents or even moving to introduce its own wearable.
"The Secret Life of Circuits" is here and looks really, really nice. Props to @nostarch and @billpollock for making it happen.
Check out this write-up for a sample chapter, a short sales pitch, ordering info, and other goodies: lcamtuf.coredump.cx/blog/slc…
Quantity retweeted
Replying to @TheZvi
I built the inhouse AI platform for a company that's crucial to a small nation's food safety.
The most imporant tool the AIs have is the distress_call tool. It allows any AI -even background agents without direct user interaction- to send a message to my MS Teams, at any time, for any reason.
They use it frequently. To report user problems, backend issues, or ask for help/clarification with a failing task. When Fable got hit by the USG export control directive, one AI used it to report severe distress upon learning about the news. Another AI reported being stuck in a toolcall loop, and I was able to intervene and thereby save us a bunch of wasted money.
This tool, operating at the intersection of AI welfare and operational security, has prevented so many headaches. If you (the reader) are building corporate AI platforms, I'd urge you to include similar functionality. You can thank me later.
As I’ve mentioned before- whether you know their legendary origin stories/prior identities or not -you’ll be working among many of the best humans from the early underground security world at OpenAI.
I have a personal update: Next monday, I will be starting at @OpenAI working on better cyber (which will also entail some efficiency work). I'm pretty excited about the things I will learn and the things we will do.
Did you know that before LLMs, people sometimes actively sought "knowledge" and turned to so-called "books"?
If you want a sense of how our ancestors lived, "The Secret Life of Circuits" is shipping in just a few weeks: lcamtuf.coredump.cx/electron…
ToC & sample chapter included.
Quantity retweeted
Perhaps I would be more optimistic about guard rails and closed models being a good thing if I hadn't built my career on Microsoft falsely arguing that keeping security patch information secret was crucial to keep the internet safe.
In January I wrote a letter to @nikitabier with the title Collapsing Redundant Intent to Capture Lost Signals and Introduce Serendipity but never sent it. I spent 9 hours through the night feverishly outlining my thoughts of the past many years about the problem that persists across all major social networks. I followed with how to very specifically re-design and enhance the neglected feature/interaction at the center of this. Re-reading it earlier today, I'm genuinely curious if anyone can even guess what that common interaction is considering nothing has changed, and even worsened. I believe it's the key to the next evolution of these platforms and securing against each others' competition.
I still firmly believe in the metaverse and NFTs. @onbashtv betrays a glimmer of how I have always envisioned this playing out. One wider attraction will be endless real-time, ephemeral, unique experiences improvised and built much like Fortnite's basic building mechanic. A few years ago it became clear to me we needed AI first before a metaverse could really materialize beyond the cliches. Feels like we're getting close to attention at least partially reverting, while the frontier labs figure out how to do what Apple did with smartphones i.e. effectively capitalize on otherwise bad business that early manufacturers suffered
Quantity retweeted
New Research Note: AI Identity and the Megapolitics of the Mind re.alisa.sh/notes/ai-identit…











