WilD 🌿

@chroniclesnate Never apologize for investing in yourself -When you train, people will envy your body -When you learn, people will envy your mind -When you invest, people will envy your money -When you win, people will envy your success Guilt is not on you, it’s all on them

An anonymous developer built a library so big it made Elsevier's legal team cry. It's called Anna's Archive. This got 99 million books and papers. Every shadow library on earth mirrored and searchable in one place. Domain takedowns bounce off it. It just moves to a new URL and keeps going. Here's the story behind it. In November 2022, US law enforcement seized Z-Library's domains and arrested its operators. The largest ebook library on the internet was gone overnight. A pseudonymous developer going only by "Anna" had already seen it coming. She had spent months as part of an anonymous group called the Pirate Library Mirror, quietly making full copies of every major shadow library before they disappeared. When Z-Library fell, she had the entire thing backed up. Days later, Anna's Archive went live. Here's what makes it unkillable. It does not host a single file. It indexes metadata and links to third-party mirrors. Legally, there is nothing to seize. Technically, there is no central server to shut down. The entire codebase is open source. The entire dataset is distributed via torrents and IPFS, a decentralized file system where data lives across thousands of nodes simultaneously. If every domain gets blocked tomorrow, anyone can spin up a new mirror in minutes from the same data. Italy blocked it. Germany blocked it. Publishers sued it. The US Trade Representative put it on their notorious markets list. It added new domains and kept going. What you get for free: → 99M+ books and academic papers → Sci-Hub, Library Genesis, Z-Library, Internet Archive all mirrored in one search → No account required → No subscription → Download via IPFS, torrent, or direct link → Works across multiple mirror domains when one goes down Elsevier charges universities $2 billion a year for journal access. A single anonymous developer with a pseudonym and a backup drive just made that business model look embarrassing. 100% Opensource. annas-archive.gl

I genuinely thought no one was recording😂 Shocked to see this online, but here's the workshop from yesterday's Code with Claude event!

A girl makes $9,000 a month sitting by the pool with just a tablet She finds a viral kids song like Baby Shark or Surprise Symphony. Copies the info and asks AI to build a prompt for a show just like it. One message back and a full video concept is ready. She drops it into Picsart and Veo 3.1 builds the entire clip. Dancing alphabet characters, glowing stars, animals celebrating together. No studio, no camera, no laptop, just poolside and two apps. Kids content gets billions of views because parents loop it on repeat for hours. That loop is what gets her to $9,000 every single month. Save this before everyone starts running kids channels from their sunbed.

among other things. ai is clearly better than any living human at coding and mathematics. it will soon be better than any living human at every single task we can think of. we need to put in some work to ensure we’re ready for that world.

Lilly just proved it can make its own $36.5 billion per year drug obsolete. And that's the entire strategy. Tirzepatide (Zepbound/Mounjaro) became the world's best-selling drug in Q3 2025, passing Keytruda at $10.1 billion in a single quarter. Combined 2025 sales: $36.5 billion. Lilly owns 60%+ of the U.S. obesity market. And today they released the data that makes tirzepatide the mid-tier option. The pharmacology is why. Semaglutide (Wegovy) hits one receptor: GLP-1. Suppresses appetite, slows gastric emptying. Ceiling: about 15% body weight loss. Tirzepatide adds GIP, a second receptor that potentiates insulin response and amplifies GLP-1 signaling. Ceiling: about 22%. Retatrutide adds a third: glucagon. And glucagon does something the other two hormones cannot. It directly mobilizes fat stores and increases basal metabolic rate. You're simultaneously eating less AND burning more. That's why the jump from dual to triple agonist is so large. 28.3% average weight loss at 12mg over 80 weeks. 70.3 pounds. 45.3% of patients crossed 30% weight loss, which matches gastric sleeve outcomes. Run the bariatric surgery math. Average gastric sleeve costs $20,000 to $25,000 in the U.S. Roughly 250,000 procedures per year. Retatrutide delivers equivalent weight reduction with a weekly injection and no surgical risk. The 4mg dose alone hit 19% weight loss with fewer dropouts than placebo (4.1% vs 4.9%), which means the lowest dose already performs at current-generation tirzepatide levels with better tolerability. The part that should concern Novo Nordisk: Lilly now owns the three most important data points in obesity pharmacology. The best-selling drug on the market (tirzepatide), its oral successor (orforglipron, FDA submission done), and now the clinical proof that a triple agonist can reach surgical-grade outcomes. GlobalData forecasts retatrutide at $15.6 billion by 2031. Given that tirzepatide blew past every forecast within 18 months of launch, that number is probably conservative by half. Morgan Stanley pegs the global obesity drug market at $150 billion by 2035. Lilly is building the pipeline to capture the majority of a $150 billion annual market, and the closest competitor just watched its flagship product lose a head-to-head study to the drug Lilly is already planning to surpass with retatrutide. The obesity drug market went from $10.5 billion in 2021 to $36.5 billion for a single molecule in 2025. Retatrutide is what happens when a company decides to make its own blockbuster obsolete before anyone else can.

THIS GUY BUILT A MOBILE APP THAT LETS TWO PHONES COMMUNICATE VIA MORSE CODE USING THE FLASHLIGHT AND CAMERA one phone flashes morse code through its flashlight. the other phone reads the flashes with its camera and decodes the message in real time then it flashes back a reply the same way two way communication between two phones using nothing but light no wifi, bluetooth, or internet connection needed he built it in react native. the camera processes each flash frame by frame, detects the timing pattern, and translates it back into text automatically the concept is simple but the execution is insane. reading light flashes through a phone camera in real time and accurately decoding them into text is a serious computer vision problem think about where this could actually be useful: emergency situations where cell towers are down. communicating across buildings when you have line of sight but no signal. endless possibilities with this

KIMI FOUNDER JUST DROPPED A GUIDE ON BUILDING A $20B STARTUP FROM ZERO I haven't seen anyone explain AI agent architecture this clearly before 40 minutes with Yang Zhilin on how Kimi works, what they built, and what's coming next this is the kind of talk that used to stay behind closed doors

There's a raccoon riding a motorcycle through Google Maps. Not across the flat blue line. Through the actual Palace of Fine Arts in San Francisco, rebuilt in 3D as a real place you can drive, run and sail through. It's a world model called Genie 3. Google DeepMind feeds it Street View imagery and it rebuilds the entire location behind the photos in three dimensions. Depth, geometry, lighting, the way a path curves behind a hedge. You give it a real address and it gives you back a world you can move through. The demos are unreal. The raccoon on the motorcycle cutting across the lawn at the Palace of Fine Arts. A runner crossing a bridge over a real river with a real skyline behind him. An F1 car in full Google Maps livery doing 225 down an empty Las Vegas strip at dawn. A little yellow character walking through a train station plaza. A patrol boat sliding under three real bridges. Every one of those places exists. Google has the footage of all of them. And here's the part nobody thought about until this week. Google has been photographing every street on Earth since 2007 and telling everyone it was for directions. It was never just for directions. For 18 years everyone filed Street View under navigation. A convenience. A way to see what a house looks like before you visit. Nobody outside Google understood they were watching the largest dataset of the physical world in human history being assembled one street at a time. Billions of streets. Millions of miles. Almost the entire inhabited surface of the planet, captured, timestamped and stored on servers in a format nobody could do anything useful with until the AI caught up. The AI just caught up. The Street View car drove past your house years ago. That footage is no longer just a picture of your street. It is now a place that can be entered. Every company on Earth is trying to build a world model from scratch right now. Generating fake cities, fake streets, fake physics, hoping it looks real enough. Google skipped all of that. Google already filmed the real one. Twice. Most of it many times. The map was never the product. The map was the camera. We have all been walking around inside Google's training set for 18 years and only found out this week.

AI can create beauty and find structure in our world in a way that goes beyond human imagination. This is just the beginning. If only you knew how good things will be.

IT'S SO OVER!!! Design agencies are absolutely cooked. I just connected Codex to Moonchild and generated: → Complete design system → Every app screen → Production-ready code All in under an HOUR. Most people are still paying $3k to $10k and waiting WEEKS for Figma handoffs like it's 2023. This article breaks down the EXACT workflow that's working right now.

Retail is out here blowing up their forex accounts while sophisticated systems are vacuuming free money It took 3 months to build this oil arbitrage engine, but the math is brutal... While everyone is guessing where the market goes, this bot exploits the mechanical inefficiency of fragmented prediction markets It scans, detects, validates and locks in a market-neutral risk-free edge on Brent and WTI Crude ~19% APR run-rate in live tests, pure automation, zero directional risk Stop gambling Start building systems

10 GitHub repos so good they shouldn't be free. 1. AutoHedge An autonomous hedge fund built in Python with four AI agents: a director generates investment theses, a quant validates them, a risk manager decides position size, and an execution agent places orders. Operates live on Solana. With 'pip install -U autohedge', you can start trading immediately. repo → github.com/The-Swarm-Corp… 2. Vibe-Trading A trading system using a Directed Acyclic Graph (DAG) model, featuring 64 finance skills and 29 preset specialist agent swarms. Includes analysis methods like Ichimoku, Elliott Wave, SMC, Black-Scholes, full Greeks, and risk parity. Its crypto desk provides liquidation heatmaps and token unlock tracking. You can observe agents debating strategies in real time. repo → github.com/HKUDS/Vibe-Tra… 3. Fincept Terminal A Bloomberg Terminal replacement that runs on your laptop. CFA levels 1, 2, and 3 analytics. 20+ investor AI agents (Buffett, Dalio, Soros). 100+ data connectors, including Polygon, World Bank, and IMF. Bloomberg charges $24,000 a year. This is free. repo → github.com/Fincept-Corpor… 4. LibreChat Every model ChatGPT runs, plus Claude, Gemini, DeepSeek, and 20 more. Self-hosted. Native MCP support. You own the data, the history, the infrastructure. OpenAI charges $20/month to use their wrapper. This costs nothing to use your own. repo → librechat.ai 5. Open Higgsfield AI A self-hosted cinema studio with 200+ AI models. Flux, Midjourney, Sora, Kling, Veo, GPT-4o, SDXL all in one interface. Text to image. Image to video. Cinema mode with pro camera controls. No subscription. Your data stays local. repo → github.com/Anil-matcha/Op… 6. Open-LLM-VTuber A Live2D AI companion that runs offline, sees your screen, hears your voice, and never forgets. Inner thoughts are shown as a separate text layer, so you watch the reasoning happen before words come out. Pet mode floats it on your desktop. Swap the LLM in one config line. repo → github.com/Open-LLM-VTube… 7. Claude Ads A free Claude Code skill that runs 190 audit checks across Google, Meta, YouTube, LinkedIn, TikTok, and Microsoft Ads. 6 parallel subagents firing at once. Consolidates into a single Ads Health Score ranked by revenue impact. Agencies charge $4,000 a month for this. repo → github.com/AgriciDaniel/c… 8. Agentic Inbox Cloudflare just open-sourced an email client where an AI agent reads your inbox and drafts your replies. Runs entirely on Cloudflare Workers. Each mailbox lives in its own Durable Object. Your email never leaves your Cloudflare account. One click deploys it. repo → github.com/cloudflare/age… 9. Camofox Browser An open source headless browser that makes AI agents invisible to bot detection. Spoofs navigator properties, WebGL, AudioContext, and WebRTC at the C++ level. The browser does not look modified because it genuinely is not. Accessibility tree output drops token cost by 90%. repo → github.com/jo-inc/camofox… 10. Hyperframes HeyGen open-sourced a video framework that does everything Remotion does without React, without JSX, without teaching your AI agent a new format. The agent writes HTML. The framework renders MP4. GSAP, Lottie, and Three.js all work. Same HTML always produces the same file. repo → github.com/heygen-com/hyp… These are not toys. Each one replaces a paid product you're still being charged for. Pick one. Install it. Plug it into your workflow. 100% free. 100% open source.

While you were sleeping, Kimi K2.6 made Claude Opus look overpriced. 300 parallel agents, 4.5x faster, 10x cheaper, open source, how the f*ck is this even free. I built an entire cheat sheet on how to use it and gave it away for free. No course, no paywall, no $500 workshop, just a link. The article below explains why Kimi K2.6 is the most overlooked model right now.

Karpathy's prediction about RL is coming true now! He called reward functions unreliable and argued that a single reward number is too low-dimensional to teach an agent what "good" means for complex tasks. To solve this, Agents need a knowledge-guided review as a higher-dimensional feedback channel. Every major AI lab trains models with RL today (OpenAI, Anthropic, DeepSeek). And their key bottleneck has always been the reward functions. GRPO by DeepSeek worked well for math and code because the environment gave a binary signal. But for real agent tasks, someone still has to hand-code the scoring function. That takes days and breaks every time the pipeline changes. RULER (implemented in OpenPipe ART, 10k stars) addresses the exact problem Karpathy identified. The reward criteria are defined in plain English, and an LLM evaluates each trajectory against that description to provide feedback for training. I trained a Qwen3 1.4B agent that plays 2048 using GRPO with this exact workflow. In this case, the agent saw the board, picked a direction, and RULER evaluated the outcome, all from this natural language definition. You can see the full implementation on GitHub and try it yourself. Here's the ART Repo: github.com/OpenPipe/ART (don't forget to star it ⭐ ) Just like RLHF replaced manual rankings and GRPO replaced the critic model, natural language rewards are replacing hand-coded scoring functions. RL reward engineering is now prompt engineering. I wrote a full walkthrough covering RL for LLM agents, from RLHF to GRPO to RULER, in the article below.

SEC filing → your agent in 2 seconds.

The real „wow“ moment is Gemini Omni. A world model towards AGI. It can create anything from any input. This is insane.

Microsoft just dropped a 4B parameter model that turns any image into a fully textured 3D asset in 3 seconds. GLB files with full PBR textures, ready for Blender, Unity, and Unreal. 100% open source. 3D artists are having a rough year.

Turn any website into a JSON API. Prompt in, clean data out, no XPath maintenance.

ANYONE with a laptop can now access spy-grade surveillance tools for FREE. It's called OSIRIS, an open-source clone of Palantir $PLTR, the $324 BILLION intelligence company. It lets anyone WATCH every commercial flight, spy satellite, and CCTV cameras. It tracks military jets, detects GPS jamming, and maps active war zones. All updating LIVE, in ONE browser tab, free FOREVER. Governments paid Palantir MILLIONS per year for tools like this. The CIA's playbook is now public domain.