noah

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.

🚨 CRITICAL: GitLab flaw (CVSS 10.0) affects 12 years of releases. CVE-2026-110264 could allow unauthenticated remote code execution on self-managed servers. Read - thehackernews.com/2026/10/cr…

"RSI" is when Dario can walk into a room, press a big red button, and then Claude will magically make itself better and better and better without people having to do anything I think the "technical" side of model capability (write the code, solve the verifiable problem) is done. Opus 5.5 if you could express model training with a hard verifier function (benchmarks are dumb, u can't) then we'd already have it The other side is the "judgement" piece which Anthropic has been tracking improving on some metrics, but at least in the models we have access do I don't think the models are close in this area. Which selfishly, I think is the optimal outcome. The human still being needed to throw the machine down whatever path, bounce ideas off of it, etc. Will get us the insane sifi future with cured cancer, flying cars, living for 100s of years, space travel, etc. Even if AI doesn't become a god it's still gonna fundamentally reshape the world I keep thinking about this because the more I think about it, the more I think that "judgement" is kinda a binary switch moment. Humans can swing wildly out of distribution either on their own or in response to external stimuli. Models, at least right now never leave their distribution unless you (the external stimuli) push them out of it. Ask claude to make a website 100 times in a row and see how they all look. Ask claude to make a website and fill it's context with a design system and inspo and it'll look nothing like the default. I think this is the biggest high level difference between humans and the models is the amount of randomness in what they do. Or maybe that's actually the point of emotions? So if we pretend that my thesis that models will always go down the same vague path (into the part of their neural network that was trained for the task) and in order to get something different than the classic "claude flavored" site you need to give it some external stimuli. Right now that comes from the prompt and the context the model gets (your codebase is a prompt never forget that) which is how you get wildly different things out of the same model. Humans are often actually kinda like this I think, the big difference is the amount of "randomness" in what they do is huge. Way more variety, creativity, they get pushed down very different paths, and I think it makes sense that the "stimuli" that pushes the network in different directions is emotions. Emotions are 100% separate from thought (hence why something like courage can exist, it's feeling fear and not doing what the fear wants you to do) and you can go against your emotions. Which I think implies that the models could possibly be imitating emotions, but I don't know if they actually have them? Perhaps smacking emotion into claude as an external system to get more variance into it could make the model better? I think this is part of why "swarms" are so effective, it's injecting way more randomness into the collective so more ideas and paths can be tried. This is all way above my pay grade, I don't even remember the formula for a dot product, I'm just letting the ideas ramble out lol

We discovered a sophisticated recording device that was hidden inside one of our offices. We used our models to understand the device and where it had come from, identifying that a specific employee had planted it a few days earlier. We referred the matter to the FBI, and we’re grateful to the agents and prosecutors who moved quickly to make an arrest. The FBI’s investigation is ongoing and we will continue to support their work. At this time, we have no indications of this individual inappropriately accessing or exfiltrating model weights, source code, or customer data. The employee was terminated. We take protecting our technology, data, and people seriously, and as a matter of national importance. Our security program is designed to protect against a wide range of threat actors, from insider risks to cybercriminals to nation states, and this case is an example of how AI can help address these sophisticated security threats.