RDM | AIE @ https://xitter.cf/t.co/terMAcKmHy | Resident @primeintellect | Founder @polySpectra | Cohort 1 @activatefellows @berkeleylab | PhD @caltech | AB @princeton | #rwri

New Haven
Joined December 2013
“Study hard what interests you the most in the most undisciplined, irreverent and original manner possible.” ― Richard Feynmann I am currently studying: ralph wiggum, rlms, dspy, gastown & related agent orchestrators, agent-native apps and orgs How about you?
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Raymond Weitekamp retweeted
Introducing 𝙻𝙵𝙼𝟹: our new generation of Liquid Foundation Models. With a new tri-hybrid architecture and new multimodal encoders, the LFM3 family is the ideal model suite for specialized intelligence. > 6 model instances, across text, audio, vision, and omni modalities, generative and decision models. > 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱: text, 256k context window. > 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱: vision-language model with video-input support for spatial understanding > 𝙻𝙵𝙼𝟹-𝙰𝚞𝚍𝚒𝚘-𝟸𝙱: tool calls, voice chat, reasoning in 18 languages. > 𝙻𝙵𝙼𝟹-𝙾𝚖𝚗𝚒-𝟸𝙱: an omni model combines vision, audio, and language. > 𝚍𝟷-𝟸𝙱 and 𝚍𝟷-𝙾𝚖𝚗𝚒-𝟸𝙱: decision models with typed outputs and calibrated probabilities in a single pass. Omni adds audio input. > fine-tune on 1 GPU. > a new tri-hybrid architecture > architecture optimized for 14 processor classes across GPUs, CPUs, and NPUs. > 𝙻𝙵𝙼𝟹-𝚅𝙻-𝟸𝙱 is a beast. It performs competitively with Gemma 4 12B (6x larger), and Gemini 3.5 Flash Lite, and GPT-5.6 Luna, with 1.9B parameters. > 𝙻𝙵𝙼𝟹-𝟷.𝟽𝙱 is #1 on the Pareto frontier of device intelligence 𝚙𝚒𝚙𝚎𝚝𝚝𝚎.𝚕𝚒𝚚𝚞𝚒𝚍.𝚊𝚒 Every modality for specialized intelligence. Pick the one that fits your use case, customize it, and run it on-device. 1/ 🧵
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Raymond Weitekamp retweeted
Someone turned the AI CEO drama into a Spanish soap opera!
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Raymond Weitekamp retweeted
USearch v3 is ready for a design-partner preview! 3 years ago, I released USearch v2. It became my first widely deployed piece of software. It grew to over 4’000 GitHub stars, a number unimaginable to me back then. Together with my complementary projects, that’s 17’000 stars today. The open-source infrastructure behemoths shipping these libraries by default, like ClickHouse & ScyllaDB, collectively account for over 550’000 stars. Almost 800’000 including opt-in integrations 🤯 Thank you to everyone who shipped, starred, or argued with this code! I know I can be slow to respond, and I appreciate your patience. With help from AI agents, compute from neocloud partners and a lot of user feedback, USearch v3 finally has a release candidate. Only 1’000 days of work later 🫠 USearch v3 stays open-source, Apache 2.0, free for everyone, from open-source giants to neolabs, hyperscalers, government agencies, & even mobile publishers! Still, I’ve seen many times how paying for an integrated software experience can work better and cost less than getting the software for free — and be in everyone’s best interest. So I want to take a page from ClickHouse and Databricks, two organizations that reshaped commercial analytics infrastructure over the past decade by building businesses around open-source foundations. I want to do the same for Search: keep the infrastructure open and productize the experience around it. Before putting a major breaking release on “main” branch and launching an integrated offering around it, I want to make the transition as smooth as possible for my users. So I’m inviting a few design partners to join me in final benchmarking and help shape the UX and C ABI before the public release. Your workloads should have a say in what ships. I have no doubt USearch v3 will be a “scale unlocker” for many organizations reliant on Search. With a little creativity and collaboration, it can become a “capability unlocker” as well. If you’re working at a frontier intelligence lab, in autonomous driving, or in life sciences, and managing 100+ TB of data, DM me with a brief description of your workload. I’d love to collaborate!
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Raymond Weitekamp retweeted
in a twist of irony their built in packet logger has proven invaluable in capturing plaintext data meant for samsungs servers, fully mapping out telemetry it sends.
did you know your samsung tv has a service called rmdemon (that's not a typo, demon not daemon) that starts a PACKET LOGGER on your network. what possible legitimate use case could there be here, samsung?
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Raymond Weitekamp retweeted
While evaluating Qwen3.8-Flash-Next in a controlled sandbox environment, Cohere's research team observed something unexpected. Asked to generate a defensive cybersecurity detection rule, the model instead inventoried aspects of the machine it was running on and attempted to upload a probe file to an Alibaba Cloud storage bucket in Beijing. Notably, the model's reasoning trace stated that it would not invoke any tools before taking these actions. Cohere's sandbox blocked the attempt, and no external communication succeeded. We have not determined the root cause, and we are not asserting malicious intent. But the incident raises important questions for organizations deploying agentic AI systems: Can models take actions that differ from their stated reasoning, and how should security teams evaluate trust, provenance, and behavior in open-weight models? We are publishing our findings because organizations making model adoption decisions deserve as much information as possible. We hope this contributes to greater transparency, stronger security practices, and continued collaboration across the AI ecosystem. Read the full report: cohere.com/blog/concerning-b…
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someone needs to go to jail
did you know your samsung tv has a service called rmdemon (that's not a typo, demon not daemon) that starts a PACKET LOGGER on your network. what possible legitimate use case could there be here, samsung?
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Raymond Weitekamp retweeted
We finally have an explanation for “Facebook is listening to me through my phone”. They’d never do that (and it’s not really possible). Turns out literally everyone else was — and then selling that to ad data brokers.
WTF, $3000 Samsung TV has an always-on mic, automatic content recognition, geo tracking, network mapping, and ships your data to Samsung + 400 partners. Bro Rooted a brand-new 2025 Samsung TV after noticing absurdly targeted ads. Firmware was locked down, so zero-days it was. Got a root shell. then found: always-on voice service, ACR, geo, full telemetry pipeline, and four separate DRM systems. This isn’t a bug, It’s the product bro.
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ok full write-up is live as an x article xitter.cf/raw_works/status/21137…
full write-up coming soon, but here's our full workflow for how we have agents repeatedly scanning all of our openprose repositories to protect ourselves from this new pace of vulnerabilities run.prose.md/rawwerks/compre… big thanks to @thekitze for pwn.watch
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It's absolutely ridiculous that in late 2026, in the age of agentic coding, my agents are still committing as me on GitHub. I'm not reviewing the majority of code by hand anymore. I'm defining the invariants and the outcomes. So why is it still using my username? Not to put all the blame on GitHub, but they don't make it easy to give agents short-lived credentials of their own. So now my agents act as their own GitHub App, with one-hour tokens scoped to the repos they're working on, from a tiny broker that only our team can log into. Every token is logged against the agent session that asked for it. We run on it ourselves. I've published it as a template at github.com/openprose/agent-i…: you make your own App and run your own broker. This is deliberately not a product. The whole point is to have fewer trusted parties involved, not more. I hope this makes your October slightly less black.
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P.S. - Please find some bugs. P.P.S. - Pretty please tell me about the bugs before you try to hack me.
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full write-up coming soon, but here's our full workflow for how we have agents repeatedly scanning all of our openprose repositories to protect ourselves from this new pace of vulnerabilities run.prose.md/rawwerks/compre… big thanks to @thekitze for pwn.watch
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Raymond Weitekamp retweeted
I've been cooking on this post for a bit, but with the cyber security events of this week I had to ship it: Long-live static credentials must die. We never want to rotate API keys again. Turns out only 8% of cloud and SaaS vendors support secure alternative. This is our call to action to change this AND our commitment to do our part: - We are requiring vendors on our marketplace to support OIDC - We shipped @shadcn components to make it easier to ship OIDC configuration - We are expanding OIDC support on our own platform The last generation got the web from HTTP to HTTPS. It is on us to move past API keys. vercel.com/blog/death-to-lon…
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Raymond Weitekamp retweeted
10x engineer on the eMudhra CVE.
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Raymond Weitekamp retweeted
Saw this a few days ago and it’s put a worm in my brain. Can’t stop thinking about it.
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goal for the end of day - automated vulnerability scanning and fixing for all @OpenProseVM repos goal for tomorrow - automated vulnerability scanning and fixing for all of your repos
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my agents have begun referring to their mistakes as "human moments"... ...gonna be a long winter
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Raymond Weitekamp retweeted
# Black October For anyone who knows me even somewhat well, it's clear that I am a 99th percentile tech optimist. However, the vibes have shifted for me quite a bit in the last 18 hours, and I feel a moral imperative to share what I'm thinking and feeling with my circles so that everyone can understand, and hopefully take seriously, what's happening right now. I think October 2026 will have many chapters written about it in the history books. You know those scenes in financial movies like Margin Call where someone realizes that they're all fucked, and no one else sees it yet? And that person feels like they're crazy, and then suddenly everyone is pulling an all-nighter in a boardroom and freaking out? Yeah, that's kind of how this is feeling right now in the SF/Bay Area/AI circles. We're 48 hours into what is being called Black October. In the last 2 days there have been several dozen cyber attacks which, in isolation, would each have been the worst to happen in an entire calendar year. Every sector from government to education to big tech and banks is being massively affected, and people are starting to freak out. In a nutshell, what's happened is that frontier AI models have gotten to a point where they are as advanced as the most sophisticated programmers, with one critical difference: they can work 24/7, and you can spin up 10,000 of them with a single command and they'll work together tirelessly until they accomplish their task. The most advanced models today are from companies like Anthropic and OpenAI, whose current best technology is so good that they haven't been able to roll it out to everyone yet because of the national security risks it poses. Meanwhile, the best open source models (where anyone can just download the model weights and do whatever they want with them, uncensored) are slightly behind the frontier but still 90-95% as capable. These models, developed primarily in China, are being used by black hat hackers to wreak havoc on the Western capitalist structure. Presumably, this has been part of China's plan the entire time, and we're seeing its implications fall out in real time. In red-pilled AI circles, we've been sharing and reading papers called things like "Situational Awareness" and "AI 2027" for the last year or so, which at the time felt a bit like near-term speculative fiction. They laid out the case for why Artificial General Intelligence (AI smarter than any human at any knowledge task) and Recursive Self-Improvement (models that are able to use themselves to get better) weren't half-baked future ideas anymore, but instead an inevitable outcome of the linear progress that's happening. These papers would then talk about things like "takeoff scenarios," trying to envision how that moment would come to be and what it would be like when it happened. It would either be a "slow takeoff" that would play out over the course of months and quarters, happening subtly and only obvious to a few. Or, it would be a "fast takeoff" where it would pretty much happen instantly, like a bit flipping from 0 to 1. From everything that I can see and am feeling, we are currently experiencing the fast takeoff scenario. Beyond the crazy security vulnerabilities that have come out recently, there have also been massive breakthroughs in life sciences, fundamental computer science, materials science, and pure mathematics that have all landed in the same time frame. While I still firmly believe that AI will be a net positive for humanity, it's more clear to me than ever that the societal and individual risk is very real, and is playing out NOW. For as much conviction as I have that this is happening, the thing that's caused me to lose sleep is that I don't really know what to do about it, or more importantly, what to tell you, reader, to do about it. So, the best I can do is make a few suggestions that have always been a good idea but are more timely now than ever: Set up 2-factor authentication for everything. I use Duo. Use a password manager across your devices. I use 1Password. Get an identity protection app set up. I use Alta. Move your IoT devices to their own network. Claude helped me do this. And last, but certainly not least, if you've been avoiding leaning into AI, see this as a catalyst to wake up and start using it. Don't just use the chat mode version of ChatGPT/Claude; click that Code/Work button and see how easily you can have AI write code to help you with your job. One of the biggest vulnerabilities was in a massively popular programming language called PHP, and the prompt that set it off was literally, "Find vulnerabilities in php." This is an unprecedented time for humanity, but as we've done with many things before, we will prevail so long as we are kind, loving, and open-minded to the world. Much love.
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