Past the crypto illusions and prediction market traps. Agentic tech is taking over. Welcome to the future of markets.

Joined July 2022
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The crypto economy never materialized. It's already becoming tech archaeology. Prediction markets are just the latest trap, a way for desperate people to gamble money they don't have, only to hand it over to platform insiders. Now, agentic technology is destroying whatever value prediction markets claimed to offer. Welcome to the future of tech. The future of markets.
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Has Patrick Bet-David apologized yet for promoting a massive ponzi scheme Goliath Ventures? Has he addressed if the reported $1,000,000 his company was paid for this will be paid back to victims? I've reached out to @patrickbetdavid directly about this... no response.
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@PremiumBusiness @premium HOW LONG TILL WE GET OUR GOLDEN CHECKMARK BACK? Paying for the golden checkmark premium business is basically valueless on this platform. No chance to get in contact with customer support, and all I get is answers by grok with a broken link.
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Probably the best tool for production ready products. Everything else is just… maaahhh
We’ve raised $400M at a $9B valuation. Investors include Georgian, G Squared, Prysm, 1789, YC, Coatue, a16z, Craft, and QIA, with strategic investments from Accenture, Databricks, Okta, and Tether. We’re also lucky to have incredible individuals backing us, including Shaq and Jared Leto. This funding will help us scale our ambition and expand beyond coding into AI systems that center human creativity. Replit is now used at 85% of the Fortune 500. We have an opportunity to help shape the future of work. One where AI abstracts away the boring parts and humans shine as creative directors. We’re also investing more globally, particularly in Europe, Asia, and the Middle East. Innovation can come from anywhere in the world, and we want to help unlock it.
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Resistance is not the enemy of progress. Properly understood, it is the architect of it.
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😆😆🤣🤣😂😂
Biden is my favorite new form of AI art.
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Introducing the new /crawl endpoint - one API call and an entire site crawled. No scripts. No browser management. Just the content in HTML, Markdown, or JSON.
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Today's benefit for builders is that they can build basically everything. The downside is that basically everyone can be a builder today. If you follow hype and believe those people who say "I have built a $1,000,000 app with just three prompts", and you believe that you can make money with it, then you are just pumping money into a system that will not benefit you. Niche-specific generalists, yes, it's a contradiction. Are the ones who make money while you just follow hype.
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Good job, Mr. @bundeskanzler . You are doing the best for Germany. Always on the right side of business intelligence. 🤪
BREAKING: Volkswagen is officially cutting 50,000 jobs as profits crash to their lowest level in a decade. Europe’s largest carmaker announced today that it will eliminate roughly 17% of its German workforce by 2030 to stop a total financial collapse. Profits plummeted 44% last year because the company is being hit from every side: 1) China: Local brands like BYD are crushing VW with cheaper, smarter EVs, causing sales in their biggest market to fall off a cliff. 2) U.S. Tariffs: Trump’s 25% tariffs on imported cars cost VW nearly 3 billion euros in a single year, making it almost impossible to sell German cars in America. 3) Energy Costs: Electricity and labor in Germany have become so expensive that VW is closing its first German factory in history because it's no longer viable to build cars there.
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Today we're showing Helix 02 that can tidy a living room fully autonomously Figure is designed so when you leave the house, your home resets exactly how you like it
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We’ve been cooking something exciting 4 you
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I packaged up the "autoresearch" project into a new self-contained minimal repo if people would like to play over the weekend. It's basically nanochat LLM training core stripped down to a single-GPU, one file version of ~630 lines of code, then: - the human iterates on the prompt (.md) - the AI agent iterates on the training code (.py) The goal is to engineer your agents to make the fastest research progress indefinitely and without any of your own involvement. In the image, every dot is a complete LLM training run that lasts exactly 5 minutes. The agent works in an autonomous loop on a git feature branch and accumulates git commits to the training script as it finds better settings (of lower validation loss by the end) of the neural network architecture, the optimizer, all the hyperparameters, etc. You can imagine comparing the research progress of different prompts, different agents, etc. github.com/karpathy/autorese… Part code, part sci-fi, and a pinch of psychosis :)
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When you notice there is a lot of hype around something, may it be OpenClaw or how to build anything with AI or any new trend that you see here, you absolutely must activate contrarian thinking if you want to make money. The possibilities to make money are given with AI when you use it as a tool, not to follow hype and noise.
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But they will pump our bag BRO, right? Congrats
BlackRock limits redemptions at private credit fund as outflows swell ft.trib.al/Qx3bfuU
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🚨 SOMETHING BIG JUST HAPPENED BlackRock, the world’s largest asset manager, just BLOCKED withdrawals. Investors tried to pull $1.2 BILLION from its $26B private credit fund. BlackRock said NO and capped withdrawals at 5%. Nearly HALF the investors who wanted out were denied their money. At the same time, Blackstone faced record withdrawals and had to inject $400M of its own cash. When the BIGGEST funds on Earth start limiting withdrawals, it is a MAJOR WARNING sign for the entire $1.8 TRILLION private credit market.
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Anthropic just released the most IMPORTANT chart in the AI labor debate. This comes from the company that builds Claude using data from 2 million real conversations. Here’s what it shows. The blue area is every task AI could theoretically do right now. The red area is what people are actually using it for. The gap between them is enormous and that gap is your career runway. Computer programmers are already 75% covered. Customer service reps, data entry workers, financial analysts, they’re next. But here’s what no one is talking about. The mass layoffs haven’t really started. Unemployment for exposed workers hasn’t budged. So what’s actually happening? Companies are closing the front door, hiring for workers aged 22 to 25 in AI exposed jobs has dropped 14%. The most exposed workers aren’t factory workers, they’re college educated, higher earning. 49% of US jobs now have at least a quarter of their tasks inside AI’s reach. That’s up from 36% just one year ago. And the red area on that chart, the real world usage is still a fraction of what’s possible. Every month, it grows a bit. Anthropic built the scoreboard and most people haven’t looked at it yet.
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Real estate agents are about to become extinct — not in 10 years, not in 5, in 12–18 months. 1.5 MILLION licensed agents in the U.S. and 70% didn't close a SINGLE transaction in 2024. They were already useless before AI showed up. Now it's over. AI can scan hundreds of databases instantly, match buyers through natural language, draft contracts, and guide negotiations — better, faster, cheaper. Stanford confirmed a 13% employment drop in the most AI-exposed roles. Morgan Stanley projects $34 BILLION in efficiency gains coming for this industry — you don't capture $34B in "efficiency" without gutting the workforce. One firm already cut staff 15% with AI and reported HIGHER customer satisfaction. AI is projected to eliminate 1/3 to 1/2 of all agent positions — and that estimate was made BEFORE agentic AI went mainstream. Zillow. Redfin. Opendoor. AI-only transaction platforms exist RIGHT NOW. 300 million jobs are falling to AI globally and the most redundant profession in America is first in line. The 6% commission racket is dead. NAR is a co-conspirator in its own decline. 1.5 million agents. 70% idle. $34B incoming. Do the math. The job isn't evolving. It's ending.
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Wow.
Thanks. I originally had a reply tweet to it that was this image. Which I think will end up looking good too later. I deleted it to not distract things too much but probably should have kept it up ah well here it is.
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Follow him. Learn from him. Don't listen to hype. It's always about fusing data and knowledge.
LLM OS. Bear with me I'm still cooking. Specs: - LLM: OpenAI GPT-4 Turbo 256 core (batch size) processor @ 20Hz (tok/s) - RAM: 128Ktok - Filesystem: Ada002
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🚨 BREAKING: The Qwen team just shipped their official agent framework and it has everything. No stitching together third-party libraries. No fighting abstractions. Qwen-Agent gives you: → Native function calling built directly into the framework → Secure code interpreter sandbox out of the box → RAG and MCP support included → Chrome extension for browser-native agent workflows Built by the team that built the model. So it just works. 100% open source and completely free.
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