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I have signed this petition. If you are of a similar mind, I urge you to do the same.

This is f*cking insane. Anthropic senior engineer: "Most people open one chat, type a prompt and call that an agent I stopped writing prompts. My agents run inside /loops + /graphs + /harness. Same model, same tokens, 10x more work actually finished, and it keeps shipping while I'm offline" In a 1-hour course, she builds a team of agents that fix their own failures and get better without anyone touching them Prompt → Agent → Loop → Graph → Harness → A Team That Improves Itself The loop makes each agent plan, check its own work and retry until it passes The harness holds it all together: tools, memory, and recovery when something breaks Most people blame the model when the real problem is the setup around it Better than any $1,500 agent course out there Bookmark it and watch it today Then read how to build agents that recover from their own mistakes in the Opus 5.5 harness engineering guide below ↓

Palantir CEO Alex Karp says the smartest people hide how smart they are: "One of the ways you make it to the top is you hide how smart you are." "Every single person who has shared how intelligent they are tells you how stupid they are." Interested in AI? Follow @AiEvolutio58513 and never fall behind. I track ChatGPT, Claude, and every tool quietly changing how we work and create, then hand you the tested signals.

Elon Musk's actual financial advice: "Don't save for retirement." His exact words: "Either we're not going to be here, or you won't need to save for retirement." That's a binary bet on civilizational outcomes — not a personal finance take. Path 1: AGI + robotics deliver abundance. The economic conditions that made retirement savings necessary no longer exist. Path 2: Existential collapse. The savings don't matter anyway. The only scenario where traditional 401(k) thinking holds is the one Musk believes is least likely — business as usual for 20-30 more years. You don't have to agree. But most people dismiss this without engaging the actual logic embedded in it. It's his entire worldview about AI timelines applied directly to personal finance.

🚨 Palantir CEO Alex Karp Warns a Wealth Tax is a Trojan Horse For Mass Surveillance “To enforce a wealth tax, you're going to need surveillance because I'm going to need to know what the bench in your house in New Orleans is worth … AI could impute every single thing you own.”

🚨 JUST IN: Elon Musk's SpaceX has been awarded a $9.9 MILLION Pentagon contract to study using Starlink's laser tech for missile-tracking satellites, per the Department of War GREAT! Elon is fully onboard with Team America 🇺🇸 THIS IS THE GUY DEMOCRATS WANT TO CANCEL AND DESTROY. The Space Development Agency will test SpaceX's "Plaser" terminal, the same laser link Starlink satellites use to talk to each other in orbit Options could push the deal to $12.7 million, with work running through October 2027

Chatbots are making things much, much worse. trib.al/QM4Bqex

Data center opponents across the country see last week's election results as a referendum on the issue and a significant win for their movement. But data center opponents say the fight isn't over. cnn.it/4k4h0F3

From GOAT to Underrated, here's my personal tier list based on popularity, career achievements, performance and overall screen presence.

This is f*cking insane. Anthropic just paid millions to hire Andrej Karpathy, the man Elon called the #2 computer vision mind on Earth The same week, he gave away what he knows for $0: "Vibe coding is dead. Software 3.0 is here. You don't write the program anymore, you build the system that writes it" In 29 minutes, he explains why LLMs are ghosts, not animals, and what that changes about how you build with Fable 5.2 Software 1.0 → Neural Nets → Prompts → Agents → Software 3.0 OpenAI co-founder. Former head of AI at Tesla. No paywall, just a link Worth more than any $2,000 AI course this year Bookmark and watch it today Then read how to build that software factory step by step: Harness, Loops, Graphs ↓

These 20 repos turn Fable 5.2 into a one-person Pixar Three.js. Filament. Anime.js. MeloTTS. OBS. Drawing, 3D, physics and sound, every studio job covered All 20 are free, no trial, no catch: Remotion → code goes in, cinema comes out github.com/remotion-dev/remo… Anime.js → moves so smooth people replay them github.com/juliangarnier/ani… Scene.js → animations that unfold scene by scene github.com/daybrush/scenejs Konva → 2D graphics that glide like butter github.com/konvajs/konva Pencil2D → old-school hand-drawn magic github.com/pencil2d/pencil Zdog → tiny 3D toys that look adorable github.com/metafizzy/zdog Three.js → whole 3D worlds with movie lighting github.com/mrdoob/three.js Filament → renders that look like a blockbuster github.com/google/filament ozz-animation → characters that move like they're alive github.com/guillaumeblanc/oz… Planck.js → stuff crashes, bounces and flies for real github.com/piqnt/planck.js regl → visuals nobody has seen before github.com/regl-project/regl WebGL Noise → smoke, fire and clouds from pure math github.com/ashima/webgl-nois… meshoptimizer → giant 3D scenes that never lag github.com/zeux/meshoptimize… MeloTTS → a narrator in any language, on demand github.com/myshell-ai/MeloTT… RNNoise → cheap mic, pro sound github.com/xiph/rnnoise Rubber Band → bend any sound to fit your cut github.com/breakfastquay/rub… OBS Studio → records everything in crisp quality github.com/obsproject/obs-st… OpenRV → check every shot like a Hollywood director github.com/AcademySoftwareFo… Mediabunny → heavy video edits right in your browser github.com/Vanilagy/mediabun… FFmpeg → a tiny file that still looks sharp github.com/FFmpeg/FFmpeg $15,000 of studio software → $0 Give all 20 to Fable 5.2 and see what it makes tonight Then read the article below, it's how Fable 5.2 makes animations like this ↓

ESTO ES ORO PURO un tipo pasó 6 semanas sin dormir construyendo un agente de IA personal desde cero, luego escribió las 100 cosas que aprendió no es un chatbot con otra cara. es un asistente que gestiona sus tareas, sigue sus negocios, lee sus correos y le avisa de cosas antes de que las pida si hubiera tenido esto antes de construir mi primer agente, me habría ahorrado un mes de prueba y error en las manos adecuadas, esto lo cambia todo: → separa reglas duras de directrices → dale a tu agente un nombre, una voz, un rol → construye un Mapa de Capacidades y un Mapa de Componentes → escribe una Constitución, no un prompt de sistema Y eso son solo 4 de los 100 (Todos los tips están en los comentarios abajo) luego lee el artículo completo abajo: ↓

It's f*cking wild: OpenAI's co-founder put everything he knows on GitHub for free, from building GPT to AI that does its own research Andrej Karpathy. 6 repos, 300K+ stars: 1. autoresearch · 92.7K stars an AI that runs its own experiments overnight and keeps only what works github.com/karpathy/autorese… 2. nanoGPT · 64.4K stars train your own GPT from scratch. the repo half the AI world learned on github.com/karpathy/nanoGPT 3. nanochat · 60.2K stars build your own ChatGPT for about $100 github.com/karpathy/nanochat 4. llm wiki · 50K stars the one-page idea behind the whole "second brain for AI" wave gist.github.com/karpathy/442… 5. llm.c · 31.4K stars train a language model in plain C. nothing hidden github.com/karpathy/llm.c 6. micrograd · 18.7K stars how neural networks learn, in a few hundred lines github.com/karpathy/microgra… start with micrograd tonight. by the weekend you'll know what's actually inside ChatGPT save it so you don't lose it

BREAKING: 🚨 A Cornell study says AI data centers hit poor rural households hardest. Households got billed $16 billion. Data centers paid about $3 billion.

TWO GIRLS, THIS WALL AND THESE BUNNIES ARE ALL AI 75,512 likes. 917 comments. 19,401 shares. 20,963 saves Two girls in a graffiti bathroom, duct tape Xs on the wall. One reaches toward a hole, a small black bunny pushes its face through. She bursts out laughing. 13 seconds. The girls, the wall and the bunnies are AI-generated in @Picsart Why it works: - The caption "it gets crazier" makes you wait for something - and the bunny is not what you expected - Duct tape and dirty concrete make the bunny's clean black face the sharpest thing in the frame - Her laugh lands before your brain catches up with the render - The second girl in the background makes it feel like a real moment, not a demo Did you buy it before the bunny showed up?

掌管了谷歌整整十年的埃里克·施密特，在被问到未来一两年普通人最实在的突围路径时，给出了一个极度纯粹的商业判断，他的原意非常干脆：
如果你真的想靠 AI 赚到钱，别去跟大厂卷底座模型，也别去做空泛的 Agent 平台，最直接的方法就是成立一家 Agent 公司，专门打造一个把某一件具体事情干到极致的智能体。 只要你在这个细分场景里做得比任何人都好，你就能用极轻的团队做成一家完全属于你自己的高利润公司。 大模型本身正在快速变成廉价的基础设施，真正值钱的商业溢价，已经全面转移到了把模型封装进垂直业务流程的执行端。 从每天在网页里打字，到拥有一家能替你全天候运转的公司，技术栈的演进其实只有清晰的六级台阶： 
提示词 → 编程 Agent → 任务循环 → 状态图 → 质量闸门 → 自主运行的业务系统。 实现这套闭环所需的底层架构和工具，目前在开源社区和官方文档里全都有现成的免费资源： 1. 官方架构指南：Anthropic 官方开源的多智能体研究架构，以及长程自主 Agent 的最佳实践手册 2. 执行与工作流引擎：Claude Agent SDK 搭配 LangGraph 状态图，用来管理复杂的多步骤任务流转与状态回溯 3. 自动化与自检闭环：Karpathy 的自主研究循环机制，让模型在无人值守时持续自检、测试并运行到任务完成为止 4. 物理世界操作手：Browser Use 和 n8n 自动化工作流，直接接管网页点击、数据提取和表单填写等真实操作 过去开一家公司需要招募几十人的团队来负责搜集、整理、排版和对账；现在借由成熟的 Agent 工具链，一个人就能把一整套业务闭环做深做透。 大模型的浪潮还在向前狂飙，但把技术转化为个人资产的窗口期，永远只留给那些动手把单点痛点解决彻底的人。 各环节官方文档与核心开源仓库索引整理在一楼了，老规矩大家自取～

DARIO AMODEI WARNED ABOUT BANKRUPTCY IN FEBRUARY. NOW WE CAN SEE HOW HE'S PREPARING "I could assume that the revenue will continue growing 10x a year" "so it'll be $100 billion at the end of 2026 and $1 trillion at the end of 2027" "if it's even $800 billion, there's no force on earth, there's no hedge on earth that could stop me from going bankrupt if I buy that much compute" back in February, Anthropic CEO Dario Amodei explained how betting on 10x revenue growth could bankrupt the company if the forecasts turned out to be wrong well, nine months later, we have the actual numbers from Anthropic's IPO filing the roughly $900 billion in compute commitments are real, but they're spread over many years. Anthropic also has around $132 billion in cash and short-term investments, and the upcoming IPO could add another substantial buffer on top of that, the underlying business is already generating positive adjusted operating income, even after paying for inference and training so even if growth slows significantly, Anthropic seems to have enough financial breathing room to survive for quite some time so looking back at this interview, i think Dario is doing a pretty good job preparing for the risks he described

“Tech bros have stolen our data and turned it into algorithms to use against us” thank you Alex

They Want To Use AI To Re-Centralize Control Of Information "It’s becoming clearer and clearer to everyone that these new technologies are not intended to improve the lives of ordinary people, but to serve the interests of the oligarchs and empire managers who rule our world."