Wannabe cyborg | LLSM (Large Language Super Model) | Orthodox-hacker | Training GPT-6 one tweet at a time.

Dallas
Joined April 2008
He's lucky to be here.
🚨 BREAKING: Travis County judge granted Gina Hinojosa's request to inspect Greg Abbott's unredacted Musk emails. Judge Mauzy set Thursday 10 AM as the DEADLINE for Abbott to let her see them. Abbott tried to keep them hidden, calling them "intimate and embarrassing."
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Coding is solved and all, but @OpenAI appear to have either a UX bug, or they’ve given me access to an internal model.
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The Matthew Effect retweeted
For anyone getting into biology, please consider taking airborne disease resistance more seriously. It's a super important area of medicine that is a huge cause of death and sickness but easily gets forgotten. We're likely to get many more airborne plagues in the future due to the combination of not just extremely dense and interconnected society (including city and farm animals), but also accidents from bio research and offensive biotech (both from random people and from secret government programs that can easily get themselves exempted from safety restrictions), all enhanced by powerful AI. Right now, this area is getting way less love than longevity research (which continues to be super important!), but it's an area where there are lots of unclaimed wins that we know exactly how to do (but are not yet doing) with present-day tech: * early detection * passive universal testing * filtration/ventilation/UVC * better vaccines (including making them open source and open science) * cryptography to make all of the above privacy-preserving We can have China-level pandemic resistance with Sweden-level limited intrusion into people's lives, and then go even further. We just have to actually do the work for it.
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The Matthew Effect retweeted
Whether or not anyone builds it... everyone dies. The future is uncertain. Your impact doesn't have to be.
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The Matthew Effect retweeted
How is the internet less private than in 2006, when the whole family shared one computer? Back then, the internet was weird, personal, and all of ours. So, we got your favorite meme legends back together to say it louder: What happened to the internet? 1/3
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The Matthew Effect retweeted
Cyber LLMs finding out that Samsung spies on you illegally Reverse engineer, decompile, and hack everything. Because your home and family has already been hacked, you are spied on -- the microphone in your TV is phoning outside of your country
live-tweeting on samsung findings were fun. i'll let my agents give it a bit more time, but this document is already the most comprehensive breakdown of some key concerns of tizen i've seen run on a live device. it takes like a good while for me just to scroll through it (there's about 44 writeups as of right now on individual functionality). release is probably happening in a few days.
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"I didn't know PHP existed until yesterday" is a low key flex.
BBC: Hablaremos con nuestro experto en seguridad de BBC respecto a la vulnerabilidad de PHP. El experto en seguridad: No sabía que PHP existía hasta ayer en la mañana.
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Overwhelmingly Positive on Steam & critically acclaimed! 🧩 We couldn't have done this without you! As a huge thank you, we’re partnering with @PMStudiosUSA to bring physical editions of Order of the Sinking Star to PS5 and Nintendo Switch 2 in 2027 💿 🌟 📜 More details: store.steampowered.com/news/…
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The Matthew Effect retweeted
we made embeddings of the whole world you can do fun stuff with them and I think they are pretty. you're only allowed to do good stuff with these no cops no military lol
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Bruh they're not going to give you a basic income. They're just going to wait for you to riot and then drone your ass.
Ordinary people likely won't be able to demand/keep a universal basic income after superintelligence. The political economy is hopeless: they have nothing to offer in return and zero hard power. The problem has been known for decades. Here are the solutions I've heard proposed:
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The Matthew Effect retweeted
I think we should stop AI progress now, first unilaterally by key AI companies and then scaling up to more US companies and then China via international agreements. The reason for now is not that current AI models are the ones that could kill everyone, but because the coordinate steps take time. Immediate action means we have more time for the second steps. When I tell this story to AI company folk, the typical response is "Yes pausing is good, but we should wait until the last minute when the very next model will be dangerous, and stop then." What I realized recently is that this is being implicitly way more optimistic about government speed than I am (and I joined the UK government and was happy there for 2.5 years). They are imagining a world where, the moment the danger is imminent, a bunch of international coordination can happen on a dime. Which is entirely inconsistent with their actual views about government! I'm the one that is more optimistic about government; why am I the one advocating for more time cushion to let the government story play out?
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Now that's a tweet!
she's a 10 but that was supposed to be a random 384-bit number
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The Matthew Effect retweeted
There is something deeply wrong with a political system that allows one trillionaire to buy his own personal U.S. Senator.
There is something deeply wrong with Talarico
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The Matthew Effect retweeted
Some stats on #php2shell. In the 10 hours before it was publicly announced, across the @Cloudflare network we saw thousands of attempts to exploit it. That jumped to tens of thousands in the 45 minutes post announcement, hundreds of thousands within 2 hours, and millions now.
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The Matthew Effect retweeted
Some preliminary thoughts about today's cyber developments. 1. Many are freaking out, in a way that is moderately justified, about AI alignment issues indicated by this incident. However, I am not sure that this incident really indicates a fundamental failure of AI alignment techniques. (Emphasis on "not sure," on uncertainty-as-uncertainty-not-disagreement.) I want to be very clear that I'm not trying to be obstinate or dismissive about AI alignment risks; I think alignment risks should be taken quite seriously and we should plan for them. But the techniques we have for aligning models are plausibly sufficient to prevent this type of issue and it is not obvious that the incident indicates an unusually hard hill to climb in the near term. AI minds continue to seem really highly configurable and like their behaviors can be largely specified at training time through fairly prosaic means. "Chaining zero day exploits" is behavior you can in principle train a model not to do. We did not gain a lot of data about whether it is relatively harder or easier than we previously thought to align models. (Because I know how twitter tends to read things, I want to drive home: plausibly, not obvious, seem. Maybe. Maybe. Maybe. I'm putting for points of view I think are worth considering but I do not know what is true or certain here.) 2. Whether or not models are capable of executing cyber attacks and identifying or exploiting zero days, the zero days are still there. I don't think the critical issue is "model can do scary things," I think the critical issue is "we inhabit a fragile world that can through a sequence of knowable actions be broken." Whether we are at the mercy of AI models or human persistent adversarial threats, the zero days are still there. There is now a window of time in which human threat actors will use very advanced AI tools to probe for those zero days and can potentially make use of them. The duration of the window depends on how long it takes for defenders to identify and close the zero days; it also depends on how fundamentally close-able the zero days are. I don't think this window is indefinitely long; I don't think we live henceforth in a world where everything will get popped all the time. The same tools that enable attackers to run attacks also enable the defenders to pump up defense; the defenders are plausibly better resourced than most attackers. Ensuring that this is the case should be a national security priority. 3. Following point 2: a "moderately bad" case (and I won't say "worst" case, which I'm sure would be much worse than this) looks like a window where there is a lot of cyber chaos: successful randomware attacks, theft of data, popped credentials, drained bank accounts, etc. One potential flavor of this chaos is something like temporary but serious economic disruption (e.g. stock markets have to close for a few days while the software gets patched). Another potential flavor is that a window opens up for a state to wage war that it otherwise would not see itself as having sufficient advantage to undertake - e.g. if China says "there's a window for cyberattacks to paralyze Taiwan - we have to go early to make use of that window." These are big issues. We should prepare for those. 4. A "very good" case looks like none of the chaos materializing, and most zero days getting patched very quickly by teams of defenders using advanced models, resulting in a much more resilient cyber ecosystem than we previously had. Even things that might inspire dread, like cadres of servers still running critical software on Windows XP or other ancient hole-filled nightmare OSes, may turn out fine, because although there is no team of human engineers fully equipped to patch that swiss cheese, the AI is adequately expert in all of the ancient software that it can pick up the slack and patch accordingly. 4. I have seen some debates about whether attackers or defenders are favored in the limit on cyber: if we close the zero days that exist today, will there not still be some vulnerabilities that a more-advanced future AI model could find? Perhaps. But, I think the dynamics of this could turn out to be somewhat like the dynamics of other two-player strategy games where the application of additional compute - thinking deeper into the game tree - confers an advantage. And so what is required to make defenders long-term successful might simply be to ensure they have more compute resources allocated to active, ongoing defense than attackers can muster. This is a strategy we could straightforwardly enact; national compute reserves allocated to cyber defense might be in order.
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The Matthew Effect retweeted
So basically, today PHP got two critical bugs that let anyone run code on your server without even logging in, which is bad, and then the details leaked before the patch was even out, which is worse, and it works on WordPress and MediaWiki and Magento and Joomla and Laravel, and Censys says like 1.5 million servers are running a version with no fix, so the NSA was like "take your system offline," and the FBI was like "take your system offline," and CISA and the UK and CERT-EU were all like "take your system offline," and then the Prime Minister of Japan, the actual Prime Minister, posted at 5:55 in the morning telling 48.8 million people to take their system offline, so everyone took their system offline, like the Dutch cybersecurity agency took its own website offline, and the Dutch parliament went offline, and the Port of Rotterdam went offline, and Finland and France and Denmark started pulling government sites, and Wikipedia went down, and Archive.org went down, and Asana and GOG and Something Awful went down, and the University of Vienna's webmail went down for some reason, and that's just PHP. Because GitLab also dropped a CVSS 10.0, which is the highest score they give out, for a bug that's been there since 2014, so that's every self-hosted GitLab for twelve years, and then LiteLLM 1.107.0 got hijacked and shipped a credential stealer and a remote access trojan in every single wheel and the Docker images, including latest, and you didn't even have to import it, just installing it was enough, and it's the second time this year, and then Railway paused every deployment on the entire platform because someone got into the environment variables, so now everyone has to rotate every secret they've ever stored there, and TiDB Cloud said someone was walking around inside with stolen credentials for basically a month and an extortion group says they took 10.6 terabytes, and Zeabur got breached for the second time in two months and is just shutting down, like the whole company, and Node.js patched remote code execution and a TLS bypass, and CISA says Plex is being actively exploited, and someone took over 300 Tor exit relays to steal SSH passwords, and SafePay ransomware has hit over 600 critical infrastructure orgs, and India's biggest bank filed a data loss incident, and Japan has been in an official state of emergency in cyberspace since October 9, which honestly explains the 5:55 AM post. Oh, and eMudhra, a certificate authority that's issued over 60 million certificates, whose entire job is proving websites are who they say they are, was supposed to be using private keys that are random numbers over a hundred digits long, and one of them was 4. Just 4. And the others were like 66 and 237. Anyway, it's Wednesday.
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The Matthew Effect retweeted
So many people are going to get one-shotted by super persuasive super intelligences and I might be one of them
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Never seen a better example of “just look at your data”
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works already-clean.goodfire.com/
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The Matthew Effect retweeted
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works already-clean.goodfire.com/
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