ElliotSecOps (@ElliotSecOps) header
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Elliot by alias, security by profession. Focusing on fintech & security research.

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Joined June 2023
Photo by ElliotSecOps (@ElliotSecOps)Photo by ElliotSecOps (@ElliotSecOps)Photo by ElliotSecOps (@ElliotSecOps)Photo by ElliotSecOps (@ElliotSecOps)Photo by ElliotSecOps (@ElliotSecOps)Photo by ElliotSecOps (@ElliotSecOps)Photo by ElliotSecOps (@ElliotSecOps)Photo by ElliotSecOps (@ElliotSecOps)Photo by ElliotSecOps (@ElliotSecOps)Photo by ElliotSecOps (@ElliotSecOps)
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El futuro de la #InteligenciaArtificial no está predeterminado. Al tratarse de una tecnología desarrollada por seres humanos, su futuro depende de las decisiones que tomemos. Por lo tanto, tenemos la responsabilidad de orientar, modificar y, cuando sea necesario, rechazar sus aplicaciones. Un sistema fiable al servicio del ser humano es más valioso que un sistema extraordinariamente potente cuyas consecuencias no puedan preverse ni controlarse adecuadamente.
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ElliotSecOps retweeted
binance hacker was the only person to ever make money on eth
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INTEL: Crypto hack tracker Chainalysis reportedly hacked, exposing customer names and emails
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Binance hack was the greatest robbery of all time
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The only thing that stops a bad guy with an abliterated LLM is a good guy with an abliterated LLM.
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Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model. 🔹 1M-token context, 2.8T total / 104B active params (MoE), Multimodal. 🔹 Full-project coding: games in Unreal, Unity & Godot. 🔹 Excels at parametric 3D modeling in Blender & CAD. 🔹 More reliable at finance work: Accurate modeling with hallucination down by 65%. 🔹 Matching the strongest proprietary models across coding, agentic and knowledge benchmarks. Kimi K3.1 Pro and K3.1 Pro Highspeed (2–3× faster) are now live on Kimi.ai, Kimi Work, Kimi Code, and the Kimi API. Open weights by Nov 4, 2026. 🔗 API: platform.kimi.ai 🔗 Tech blog: kimi.ai/blog/kimi-k3-1-pro
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Today we're releasing abliterated-model-large-v2. Based on GLM-5.3, which is #3 on Terminal-Bench 4.0 (behind only Opus 5 and Fable), with 2× the cyber exploitation of 5.2. We abliterated and hosted it so it does the offensive cyber, red teaming, and agent testing work other models refuse to do. - US-hosted - FP8 - 1 million context window - Zero input/output prompt retention Live now. 🧵
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Imagine over engineering how you ask Claude 😂
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software engineering is so back. > people are reading books again. > every line of code is being read carefully. > fundamentals are cool again. > architecture and system design are back in focus. > nobody is fighting over frameworks anymore. > understanding why something works matters again. > code reviews matter more than lines of code shipped. > debugging is becoming a superpower again. > technical judgment matters more than typing speed. > engineering is about thinking again, not just coding.
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Writing is a form of thinking. So don't let AI do it all for you.
If you want to start writing, the greatest thing you can do is block off 1 hour every morning and stick to it. Absolutely no exposure to other opinions or distractions (social media, messages, phone). You need space for creative ideas and modern life is great at taking that from you.
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nah bro we're in a simulation for sure
This entire ocean is a 61 KB HTML file. Built with Claude Code + Opus 5.5 in about 30 minutes, according to its creator. It runs in the browser using WebGPU: FFT waves, whitecaps, sun glitter, a physically based sunset sky with clouds, and a free-flying camera. No game engine or rendering library. Claude rendered screenshots in headless Chrome, then had separate subagents critique them. The creator gave feedback along the way, mainly on the clouds. The 61 KB build is minified and self-contained. Download it, open it in Chrome with WebGPU support, and explore with WASD.
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ElliotSecOps retweeted
Infinite tokens and you still produce an electron app...
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How does an actor have a better epistemological understanding of AI than the people building it?
Ben Affleck says AI is simply matrix multiplication, linear algebra and floating point calculations, and however convincingly it sounds like a person, it has nothing to do with thought, humanity or feeling “Nor do I believe, and I think it’s important to draw the distinction between what AI does, which is simply predict the next token or the next word in a sentence, then add that word on, run it back to the machine, do a lot of computation and pick the next word." "That is a very different thing than sentience or thought. And I think we need to be really clear about that because it can be convincingly, in an illusory way, sound like thought or like a person." "But let’s be real clear. This is matrix multiplication. This is linear algebra. These are floating point calculations. It has nothing to do with thought, humanity, or feeling.”
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Anomalies in the matrix are inevitable
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DeepSeek V4.1 Flash is now free in OpenCode
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The final boss still remains unchanged 🗿
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Un tip: cuando una organización empieza a implementar IA en sus procesos, eventualmente descubre un nuevo perfil de persona inútil y nociva en esta época: el “meat proxy” (“intermediario de carne y hueso”). Esta es la persona que simplemente copia y pega cualquier cosa que ChatGPT o Claude le diga, prepara presentaciones de PowerPoint y documentos para los líderes de la organización o, peor aún, para los clientes, sin entender ni pío de lo que está presentando. Básicamente, suspende su capacidad de pensamiento crítico y se transforma, en la práctica, en un títere humano controlado por IA. Lo que produce se conoce comúnmente como “AI slop” (“basura generada por IA”). En esta era de la IA, es necesario identificar y remover activamente a los “meat proxies” de tu organización para evitar que el “AI slop” termine por todos lados, camuflado como trabajo de calidad. Ellos hacen más daño que simplemente no usar IA.
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ElliotSecOps retweeted
language? solved coding? solved mathematics? solved praying for human stupidity to be solved next
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this is the future of coding agents
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