If your world is simulated, your prayer is a prompt.
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Timotheus Gmeiner retweeted
FREEMAN DYSON: THE OUTLAW Freeman Dyson's ambition knew no bounds; indeed, it could be exemplified by the mere fact that he believed he could become one of the world's leading theoretical physicists without formal doctoral training, and so he did. Beyond the fact that his intellect transcended institutional gatekeeping, his ideas consistently pushed against the comfortable boundaries of known physics. He famously proposed the Dyson Sphere, a hypothetical megastructure by which an advanced civilization might harness the energy of its local star by constructing infrastructure on the scale of an entire solar system. Through his more formal works during his early career, Dyson reconciled the competing approaches to quantum electrodynamics developed by Richard Feynman, Julian Schwinger, and Sin-Itiro Tomonaga, helping establish what became the modern theory while making Feynman's approach far more accessible to the broader physics community. Yet ultimately, what made Dyson most remarkable was the breadth of his intellectual curiosity. Throughout his life he wandered freely between physics, mathematics, engineering, biology, computer science, and space exploration, pursuing problems wherever they may have led him. He remained convinced that scientific progress was fueled by the freedom to explore ideas that others might dogmatically dismiss too quickly. Let Dyson remind us to be bold, brave, and uncompromising in the face of dogma and institutional gatekeepers
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Timotheus Gmeiner retweeted
Vibe hardware is here. I gave Astra my credit card and asked for a Teenage Engineering-style mini DJ controller. It generated a concept image, sourced parts, read Chinese datasheets, built a CAD model, ordered everything, then made a Blender animation showing how to assemble it.
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Timotheus Gmeiner retweeted
RL post-training of biological brains in sim
the fly brain can play beat saber
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Timotheus Gmeiner retweeted
I’m starting a new series: Dissecting a Chip Fab Fabs rely on machines operating at nanometer-level precision, plus automated systems that move, inspect, and process wafers at every step I’ll break down that equipment and the companies behind it, many of which most investors have never heard of
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Timotheus Gmeiner retweeted
STMicroelectronics VL53L9CX 2.3K LiDAR Sensor $63.36 each, $49.58 @ 25 They fit a whole WAYMO in this thing. Not really. I2C/I3C + CSI interfaces for up to 100Hz update rate. Supports <5cm-8.8m ranging. Pre-order a STEMMA QT breakout here: americanembedded.com/store
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Timotheus Gmeiner retweeted
I’ll always remember fondly the time a guy dismissed my work because LLMs are just stochastic parrots and I asked him if he came up with that on his own or repeated something he heard
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Timotheus Gmeiner retweeted
Today we share the worldview behind our mission. Human values don't average out. Local knowledge can't be centralized. The good future has many AIs, raised in different places, shaped by the people they serve, disagreeing with each other the way we do. thinkingmachines.ai/blog/the…
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Timotheus Gmeiner retweeted
Fun interactive science app ideas | Part 3 Played around with generating 3D biological structures and made an app to explore them interactively UI Design GPT Images 2 Code Gemini 3.1 Pro More demos ↓
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Timotheus Gmeiner retweeted
Take a 600-cell in 4D with 120 vertices ±v_i, i=1…60 Define F(x)=𝚷_i v_i·x Stereographically project F from a 4-sphere to 3D, then Fourier-transform from momentum space to position space. Result: this hydrogen wave function, with energy level n=61. gregegan.net/SCIENCE/Symmetr…
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Timotheus Gmeiner retweeted
Biology is just nanotechnology that has had 4 billion years of R&D. What you are looking at is the Bacterial Flagellar Motor, arguably the most sophisticated machine in the known universe relative to its size. It is a true rotary engine, measuring only ~45 nanometers across, yet it is composed of over 40 distinct proteins that self assemble into a perfect mechanical structure. It features a rotor, a stator, a drive shaft, bushings, and even a "universal joint" (the hook) that transmits torque to the propeller; engineering concepts that humans "invented" eons after nature perfected them. The performance stats are mind bending. This biological nanomachine can spin at up to 100,000 RPM; faster than a Formula 1 engine or a jet turbine. Yet, unlike human engines that burn fuel, this runs on the "Proton Motive Force." It uses the electrochemical gradient of hydrogen ions (protons) flowing across the cell membrane to drive rotation, operating at nearly 100% quantum efficiency. It is literally a proton powered electric motor. The most exciting part isn't just that it exists, but that we are finally decoding how to build it. With the rise of AI tools like AlphaFold and generative protein design, we are moving from simply observing these structures to engineering them. We are on the cusp of an era where we don't just build machines out of metal; we grow them out of molecules.
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Timotheus Gmeiner retweeted
i just made a full walkthrough on how I made this ad for GTE / Polymarket with the help of AI... the guide includes: - my editing process - AI tools used - my overall approach/thesis on these kinds of videos if you want the full guide, reply “YES” + RT and I’ll DM it to you (must be following)
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Timotheus Gmeiner retweeted
Just created a complete analysis of AI infrastructure opportunities covering chip manufacturers, power companies and system integrators. I shared this analysis with my 20,000+ students. For 24 hours, it's yours for FREE. Like, RT & Comment "AI" and I'll DM it to you.
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Timotheus Gmeiner retweeted
11 months ago I was a broke af selling freelance services online Now I’m doing $70-80K/month selling AI infrastructure to 9 figure clients like BCG, BMW, and Coca-Cola While most of you were using GPT to text girls back, I was quietly building systems that Fortune 500 companies rely on to operate Once I saw how fast these systems were printing, I started documenting everything Every workflow, every framework, every system Then I turned it into 20+ hours of training Here’s what’s inside : → Context Engineering - how to make AI sound human enough to sell to billion-dollar firms → Lead Magnet Infrastructure - 50K+ leads, 9K+ comments on one post → AI Content Systems - replacing 120-person production teams → AI Visual Creation - used in VC decks + Fortune 500 pitches → AI Sales Docs - frameworks that closed BCG → LinkedIn Authority Systems - 35K followers, Fortune 500 inbound → Voice-First Workflows - 1.6M words = 30M+ views You’ll learn 3 models you can deploy : → Local Businesses: $15K/month (operational automation packages) → Mid-Market: $40-50K/month (content + sales infrastructure for law firms, agencies) → Fortune 500: $100K+/month (enterprise deployments with pilot-to-scale model) This is our Results so far implementing this system : • $70-80K/month recurring revenue • 30M+ organic views • 50K+ leads generated from content • Fortune 500 clients closed RT + follow & comment "AI" to get access on DMs
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Timotheus Gmeiner retweeted
Open. Source. SOTA. Deep. Research. 🚀 Today, we’re releasing PokeeResearch-7B, a SOTA open-source deep research agent that outperforms all other 7B deep research agents. And, we are open-sourcing both the weights and inference code on @huggingface! We're additionally excited to have partnered with vLLM @vllm_project, SGLang @sgl_project, and verl @verl_project on training and inference pipelines. We can’t wait to see what you all build with PokeeResearch! 🤗• Hugging Face Model: huggingface.co/PokeeAI/pokee… 🌐• Webpage: pokee.ai/deepresearch-previe… 📋• ArXiv: arxiv.org/pdf/2510.15862 🔗• Github Repo: github.com/Pokee-AI/PokeeRes…
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Timotheus Gmeiner retweeted
To build the Canada we want for ourselves, we have to make responsible choices and bet big on Canadians. We’re going to cut waste and spend less on government operations — so we can make the big investments that will grow our economy and create new opportunities for Canadians.
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Timotheus Gmeiner retweeted
I built an AI system that automates product video creation for entire e-commerce catalogs. (Saves $30K per collection shoot, increases conversion rates by 40% on sites) Here's how the automation works: → Firecrawl scrapes product photos from any e-commerce collection page → Google's Veo 3.1 generates professional model videos showing fit and movement → Each animation starts and ends with the original photo for seamless looping → Videos are automatically organized and stored in Google Drive → Everything processes in batches while you handle other business priorities This system can transform how fashion companies showcase products and consistently drives higher engagement from potential customers. Static product photos just don't cut it anymore. Customers want to see how clothes actually fit and move before they buy. Want the complete blueprint? Here are the steps: 1. Like & RT this post ✅ 2. Follow me for more e-commerce automation insights 3. Comment "FIT" I'll send you the entire n8n workflow, all the prompts, and a full setup video for free. No more expensive video shoots or wondering if your product photos are converting.
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Timotheus Gmeiner retweeted
i just trained an AI on every alex hormozi book, playbook, blackbook, and podcast episode... he charges $5000 for his AI assistant and people pay it, i'm giving you the same thing for free this isn't some shitty GPT with 3 pages of info that hallucinates answers, NotebookLM is the best AI for consuming and recalling information right now, i fed it EVERYTHING: - $100M offers, leads, money models - the black books (given to people who donated 200 books) - all the playbooks and lost chapters - his best podcast breakdowns and frameworks the information inside is worth thousands it can answer ANY business problem using hormozi's exact frameworks it pulls from the exact books and gives you page-specific answers... no generic advice, no made-up bullshit i should NEVER be sharing this for free, that's why i'll delete this in 24hrs reply 'HORMOZI' + RT and i'll give you access for free (must follow me so i can dm)
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losing my mind reading about the 'volcano snail' that both eats and is partially made of IRON
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Timotheus Gmeiner retweeted
GPUs process thousands of pixels in parallel, but what happens when we write a single pixel to the framebuffer? How is it done? Watch a CPU paint each pixel in this amazing RISC-V visual simulator (load the bitmap example): eseo-tech.github.io/emulsiV/
Understanding GPU Architecture from Cornell cvw.cac.cornell.edu/gpu-arch… During a low-level discussion at a casual meetup, many folks were interested in understanding GPUs more closely. While CPUs optimize for complex control flow (see those big cores + caches), the GPUs maximize throughput with thousands of simple cores sharing memory. The GPU architecture roadmap is a good starting point for diving deeper.
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