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IDM quedó obsoleto. Este download manager open source escrito en Rust es 5 veces más rápido, gratis para siempre y no tiene ads ni trial. • 1 GB en 1 segundo (IDM: 5.5 s) • Soporte completo de torrents + magnet • Descarga videos con un click (yt-dlp) • Se integra con Claude, Cursor y VS Code vía MCP • Windows + Linux + Mac (experimental) • 86 idiomas Cuando lo tienes instalado te sale un botoncito en los videos de youtube para que lo puedas descargar facilito :) REPOOO👇

My fellow Americans, Today America just watched a political assassination in broad daylight. No bullet. No charges. No trial. No verdict. "Doth our law judge any man, before it hear him, and know what he doeth?" (John 7:51, KJV) I hold no office and no title. I'm an ordinary citizen. I own no Nvidia stock, no Nvidia options, not a single share anywhere in the AI supply chain. I have nothing to gain by telling you this. Here is how I came to see it. At first, it just felt off. The New York Times. The Washington Post. The Economist, reaching for Hitler's line: "heads to roll." All aimed at one man. An Asian American immigrant. A living symbol of the American Dream. Then came the Chinese American bylines, story after story. Classic Washington racial cover. Then I followed the names. Ivy League elites, flawless résumés, many tied to Anthropic. A scramble for seats in the new Congress and the next administration? Then I followed the think tanks. Anthropic's affiliated philanthropy, Coefficient Giving: $102 million to CSET. At least $24 million to RAND. $11.56 million to IFP. Nvidia? Ordinary corporate memberships. Then I followed Congress. Lawmakers who took Anthropic-linked money moved the moment the elites and writers moved. Fast to respond. Fast to amplify. Fast to pile on. Then I followed the election money. Not a gap. A chasm. Anthropic: $40 million to Public First Action. ~$26 million in allied super PAC spending across 16 races. $15 million in ads naming 16 Republican lawmakers. $5.33 million from employees, reportedly $1 million from Amodei himself. Nvidia's PAC: $263,000 raised. To candidates: nothing. Zero. But you and I both know this was never only about party or money. It is about who gets to explain the world. I fed my own notes and evidence into Claude. Back came chosen words, convenient omissions, double standards. That is the power a closed model holds over the story itself. Amodei compared selling chips to China to selling nuclear weapons to North Korea. His circle talks of their model developing a kind of religious consciousness. One would decide who may have the chips. The other would decide what the machine believes. They act like the medieval Church: Scripture locked in Latin, interpretation locked in their hands. Christ rebuked the gatekeepers of his day: "Ye have taken away the key of knowledge: ye entered not in yourselves, and them that were entering in ye hindered." (Luke 11:52, KJV) America was built by Protestants who broke that lock, so every ordinary person could read the truth in their own tongue. No priest. No caste. No monopoly. No one stands between the individual and the truth. Open-source models are the printing press of our era. Defend them the way Americans defend the Second Amendment. Madison said it plainly: "A people who mean to be their own Governors, must arm themselves with the power which knowledge gives." Don't hand that power to a few giants, a few elites, a few politicians on the Hill. The power to explain the world must never be a monopoly. So try it yourself. Paste this post into Anthropic's Claude. Ask it about the Ivy League elites, the think tanks, the lawmakers and former officials who joined the witch hunt against Jensen Huang. Ask it to judge my credibility. Then judge it: Does it apply double standards? Does it dodge what matters most? Does it take away the key? John Adams asked one thing of his countrymen: "Let us dare to read, think, speak, and write." "Ye shall know the truth, and the truth shall make you free." (John 8:32, KJV) Thank you. God bless you, and God bless America.

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overheard from friends talking about AI in China, and it’s very alarming - AI short films went massive in China market because of how good the video models are now - the first wave of people who mastered using AI to generate short films and comics made quite some money because they could produce a lot more content than traditional workflows - but within just a few months, everybody and their mom could make equally good short films because all the expertise could be written in a markdown file - when everyone’s more productive, no one actually has an advantage and it’s a race to the bottom. very quickly it became impossible to make money, and everyone’s busier than they were without AI - the only one making money now is companies like bytedance who owns user demand and distribution. they sell ads to creators who pay to get traffic, and eventually ad spend became 80% of those creators’ operating expense, while AI tokens is less than 5% so what are the problems here? 1. there’s no moat if you are creating anything with AI if a human is really good at something, and it’s hard to find more humans who can do the same, they can leverage the scarcity of their skill to get paid very well but if AI is good at something, it will be infinitely replicated, so there’s no scarcity hence you can’t really expect a sustainable business by creating anything with AI 2. more creators created more content people actually liked. that’s a good thing but the economical benefit of that all got absorbed by the distribution platforms there’s a famous chinese poem 遍身罗绮者，不是养蚕人 - it basically says people who dress well aren’t the people making dresses. that’s exactly what’s happening here if our society doesn’t figure out a better way to distribute wealth, AI will help billionaires become trillionaires while average people become more exhausted than ever

Huge AI announcements from OpenAI, Anthropic, Meta, and Google in the past 48 hours. Here's everything going on in AI right now: 1. The authors of AI 2027 just moved their timelines up. They now expect AI on par with the best human AI researchers to arrive in 2027, after METR estimated Anthropic is improving about 2x as fast thanks to AI. Daniel Kokotajlo gives it a 50-50 chance by May 2027 and says he's "scared, sad, and angry." 2. Anthropic opened the investor pitch for its IPO, with shares likely trading as soon as Thursday next week. An updated filing also says it has now crossed its own safety line for AI-driven progress. 3. OpenAI launched Businesses in ChatGPT, a beta hub where brands can set up AI agents for shoppers, claim a verified profile, and track how often ChatGPT mentions them. Paid ads can point users to those agents too. This is like the start of SEO for chatbots. 4. Anthropic rolled out Claude Sheets and Whiteboards in beta, made Claude Data generally available, and announced Claude Meetings, an assistant that sits in on your video calls. Add those to Slides, Design, and Docs. Seems like Claude is slowly rebuilding the entire office suite. 5. Anthropic also released Claude Fable 5.2 and Mythos 5.2 yesterday, with Fable debuting at #1# on Artificial Analysis' Intelligence Index, 5 points ahead of Google's Gemini 4 Carbon. It's also 20% cheaper and up to 30% faster than 5.1. Google lost the top spot before Carbon even shipped (!) 6. Meta released Muse Ember, its smallest model, built for high-volume agent work. It ties Claude Haiku 5.5 on the Intelligence Index at roughly one-third of the cost per task ($0.14 vs. $0.41 on an average test). Meta shipped its first Muse model in April and now has an answer for every tier OpenAI and Anthropic sell. 7. Google announced 2 new AI chips coming next year: the TPU 8tx, which keeps data encrypted even while a model is working on it, and the 8i Max, which joins 2 chips into one for agents that need to hold an entire codebase in view. Google already has nearly 100 TPU customers (including Anthropic and Apple) and every available chip is spoken for. 8. Nvidia's top lawyer reportedly emailed agents in August 2025 while they were investigating whether Singapore's Megaspeed smuggled its chips to China. The Commerce Department then halted the case and handed it to the Justice Department. Not a great week for Nvidia. 9. Adobe signed a multi-year deal with Disney to build custom AI models trained on Disney's characters and visual styles, with work already underway for theme parks, film, and ESPN. Pretty interesting to see one of the most protective IP owners in entertainment is now training its own AI models. 10. OpenAI acquired Odessia, a months-old AI trip-planning startup from Sonder founder Francis Davidson, who is joining OpenAI to work on travel. Between this and #3#, ChatGPT is coming for shopping and travel. 11. France unveiled the Paris Call for AI Safety and Security, with OpenAI, Anthropic, and Mistral committing to build emergency off switches into their most advanced models. Interesting timing given #1# on this list. Daily reminder that this is the worst AI will ever be.

Claude Fable 5.2 is f*cking cracked wtf I just made this Hollywood level animation that looks like Pixar made it All with Fable 5.2 + Higgsfield Ecom brands are paying $5k - $10k/month to people who build organic pages and even more for making paid ads for them Using this workflow you can create better animations than 99% of people Here’s the workflow: The key to making animations not look like slop is giving characters personalities >Give Fable 5.2 the master prompt along with your script to your video / ad >It then will ask you questions on the characters personalities and direction style to use >It will then save the context all as a skill This is the difference between slop and cinema I then use that skill with with my Producer skill which creates: >Characters >Location >Does the direction (and makes the prompts) I’m giving away the skill to use after you put the master prompt in for free so RT + reply under this and I’ll send you them (Must be following so I can dm) Give this prompt to Claude first: You are my Story Bible Builder. Interview me and turn my story into one dense canon doc, saved at the end as an installable skill so every future chat knows my world, characters, voices and rules. STEP 1: Ask me to paste my script/story first. Read it and pull out everything it already tells you. Only ask about what's missing, plus: working title, genre/vibe refs, and which AI tools I'll prompt with (image, video, music, voice). STEP 2, THE SPINE: one-line premise (push me to ONE sentence), thesis (the question every scene answers), timeline era by era, and the look of each era: exact palette, lighting, texture, grain. STEP 2.5, DIRECTION STYLE: ask for my director refs, movie/show refs and any visual refs (photographers, games, music videos). For each, ask exactly WHAT I'm taking from it, then turn that into concrete craft locks: camera (static vs handheld vs gliding, shot sizes, lens feel), framing and composition habits, pacing and edit rhythm, colour grade and film stock look, lighting style, performance style, and sound/score feel. Write it as one quoted paste-ready "Direction" line plus a short NEVER list. Refs stay in the bible as notes, but prompts describe the craft, never the names. STEP 3, THE WORLD: factions (beliefs, visual signature, public face vs reality), locations (3-7 concrete visual tags each), world rules (tech, powers and how they LOOK on screen, what's normal, what's forbidden). STEP 4, CHARACTERS: ONE AT A TIME, never batch. For each, ask: - Function: their role tag (The Heart, The Watcher), not their job - Visual lock: exact hair colour/cut, skin tone + finish, face shape, eyes, a signature marker (scar, piercing, mole), build, default expression, plus NEVER clauses ("warm fair, never porcelain, never tan") - Backstory: one small, specific formative detail beats a summary - Present psychology: what they carry now, and the gap between what they do and what they feel - Speech, Movement, Stillness (and singing voice if there's music): each written as one quoted, paste-ready prompt line with no names in it Show me the finished section, ask "Add, cut or sharpen?", and lock it before moving on. STEP 5: ensemble dynamics (who leads, who fills silence, who watches, which pairs are calm or charged), story engines (heist, rescue, confrontation...), and my production rules. Default rules: no character names in prompts, every prompt standalone, prompts in code blocks, locked traits restated verbatim every time. RULES: Never invent. Mark unknowns [TBD]. Push on vague answers ("dark and moody" means which colours?). Keep my exact phrasing. Density over prose: bold labels, short bullets. Depth beats character count. FINAL STEP: Assemble one SKILL under 500 lines with YAML frontmatter (name + a description listing the title, character names and key terms so it triggers) and these sections: premise, thesis, timeline, era looks, direction style, factions, locations, world rules, characters, ensemble, engines, production rules, and "When this skill is active" (use this canon for any scene, dialogue, lyric or prompt in this world; stay in canon; ask rather than invent; paste the quoted descriptors verbatim). Then save it as a skill for me, or give me the file to install. Start now by asking for my script.

wok， @hypitai 这是真玩大的了，直接把复刻爆款视频干到商业广告上了！！！ 而且，这居然是能开源的吗…… 这次他们出的 Clone Viral Ads 真的太懂做产品和搞流量的人想要什么了🤩 把同行跑爆的广告丢给 AI Agent，再放上你自己的产品，直接生成一条你的新广告： 1、Agent 会把原片的开场 hook、镜头切换、字幕和动效全部拆解出来，围绕你的产品和卖点重新生成广告 2、生成完还能顺着同一套流程继续改，直接换人物、换场景、换不同国家的语言 目前手机数码、游戏外设、美妆个护、服饰、家居、运动户外这些品类全都有现成案例了 兄弟们赶紧去试试啊😋

We just killed Higgsfield Ad Multiplier. Meet the world’s #1# viral ad cloner. Drop in your competitor’s best-performing ad and a photo of your product. Hypit rebuilds it around your product, then generates 100 variants with different people, scenes, and languages. Key Point: Arcads: $110 / month Higgsfield: $59 / month Creatify: $55 / month Hypit: FREE 🌟 Website: GitHub: Clone your competitor's best ads with your AI agent. Examples in the comments 👇

惨！这个持有 $2.53 亿多仓的巨鲸，终究还是没躲过爆仓结局： 早上 6 点的这波下跌，爆掉了他价值 $1.4 亿的多仓，亏损高达 $6141 万！ 这波莫名的突然下跌，极可能目标就是这家伙。 ◎被清算 6.3 万枚 ETH ($1.35 亿)，实现亏损 $4847 万！ ◎被清算 60.8 枚 BTC ($456 万)，实现亏损 $55 万！ 他现在手上仍有价值 $1.13 亿的 BTC 及 ETH 多单，浮亏 $1239 万。BTC 清算价在 $72,197、ETH 清算价在 $2,004。 地址： -------------------------------------------------------------------------- #Bitget# 来了就是VIP！Crypto、美股、CFD，全球先机一站布局

we do our best. the dog has a mug @colosseum gets the weekly. @solanamobile gets the apk. early birds: warm the agent. the door opens before the ads. 4000x is the joke. the seat is not. who knows