Saw a video where a candidate goes through an interview with AI feeding him answers in real time. The interviewer notices nothing, and the video ends with “Got the job at OpenAI” 😳 Is this a hack or already cheating? And how should companies verify candidates when answers can be generated live? 👇

The man who helped create modern AI thinks we may be underestimating what comes next. Geoffrey Hinton, the “Godfather of AI,” has warned about the risks of superintelligence. Nvidia CEO Jensen Huang disagrees with his extinction-risk estimates. One helped lay the foundations of modern AI. The other is building the infrastructure powering it. And they don't agree on how dangerous it could become. Who would you trust more: the scientist who understands the risks, or the CEO building the future? #AI

🚨 A TRADER JUST TURNED AI INTO A $40,000,000 WEAPON. Kimchi. Pump.fun. $40M. While 99% of people use AI to generate images and write content, an entirely different game is emerging in crypto. Imagine an AI that analyzes thousands of meme coins, tracks liquidity flows, identifies promising launches, detects on-chain patterns, and helps make decisions before the crowd even notices a token. This is what the next level of trading could look like. No more staring at charts 24/7. No more emotional decisions. No more chasing green candles. Instead, build a system that collects data, identifies opportunities, and automates parts of the trading process. The story surrounding Kimchi and the numbers associated with Pump.fun raise a bigger question: just how much could AI transform the crypto market? The next generation of crypto millionaires won’t just trade the market. They’ll build AI systems to trade it for them. And the most interesting part? We might only be at the beginning. 🧠⚡️

Elon Musk believes humanoid robots could become bigger than the car industry. Think about that. Millions of robots working in factories, warehouses, hospitals and eventually inside our homes. Not just following commands, but learning to perform tasks that once required human hands. If Tesla gets this right, Optimus could become one of the biggest products the company has ever built. Would you let a humanoid robot work in your home?

Elon Musk just said something uncomfortable about AI. “Humans will not. There won't be anything that humans can do that the AI and the robots can't do better.” His vision goes far beyond chatbots. AI could outperform humans at almost every job, while robots turn intelligence into real-world production. But if machines can do everything better than us… What exactly will give human life meaning? This is the question nobody can ignore anymore.

2,209 AI agents just rewrote an AI coding agent. Not a demo website. Not a chatbot. An actual software system, rewritten in Rust over two weeks. The reported results: → 13× faster time to usable input → 83% less startup memory → 10,000+ sandboxes The crazy part isn't that AI can write code. It's that AI agents are starting to coordinate complex engineering work that used to require entire teams. What happens when this scales from thousands of agents to millions?

Robots are starting to build the future that will replace them. Today, reports say Schaeffler has deployed 6 humanoid robots across 5 production stations in China. The goal isn't just automation. It's bringing robots into the factories that make robot components, while collecting data to improve the next generation. Think about the loop: → AI learns to control a robot → Robots enter factories → Factories produce more robots → More robots create more opportunities to scale automation We're not at fully autonomous factories yet. But the real question is no longer whether AI can move beyond a screen. It's how fast it can learn to work in the physical world. What happens when intelligence becomes cheap AND labor becomes automated?

A company sent an AI to interview him. He sent an AI to negotiate for him. His AI ignored his orders, invented experience, and offered to work for $60K instead of $150K. A Greenhouse survey says 63% of US job seekers have already faced an AI interviewer. 38% quit a hiring process because of one. Guess who's next. 💀 (Comedy sketch. The numbers are real.)

In the early days of Apple, Steve Jobs and Steve Wozniak faced a question that would follow them for years: what matters more, the money or the people who helped you make it? Back in 1975, Atari hired them to build Breakout, an arcade game that had to run on as few chips as possible. Jobs took the assignment. Woz had the engineering skills to solve it. There was one problem. Woz was already working full-time at Hewlett-Packard, so he spent four sleepless days getting the job done. The result was remarkable: just 45 chips, while Atari’s own engineers were using around 150. Atari paid Jobs for the work. He told Woz the reward was $700 and handed him $350. But the actual payment had been roughly $5,000. Woz accepted the money without questioning it. Years later, he discovered the truth in a book about Atari. By then, Apple had made both men incredibly wealthy. And this wasn’t an isolated case. Before Apple went public in 1980, Jobs refused to give stock options to Daniel Kottke, a longtime friend who had helped build the company. Woz, meanwhile, shared his own shares with early employees who had been left out. One man held on to the money. The other gave a meaningful part of his wealth away. Jobs was undeniably brilliant at building a business. But brilliance and loyalty are two different things. The real question isn't whether you can win in business. It's what you're willing to do to win, and who pays the price.

Elon Musk thinks AI could surpass the combined intelligence of all humans in just 5 years. And in 10 years? He believes humans may no longer be in control. His prediction: → AI outperforms humans at almost everything → An era of unprecedented abundance → But controlling superintelligent AI may be an illusion Musk admits the risks are real. Yet he believes progress is nearly impossible to stop. Are we heading toward abundance or losing control?

Hinton, the "godfather of AI", tests chatbots with a puzzle, not a benchmark. Rooms are painted blue, white or yellow. Yellow fades to white within a year. You want every room white in two years. What do you do, and why? To solve it, you have to reason about time and fading. Autocompleting a sentence that sounds right isn't enough. If a model gets it right, "it's just predicting the next word" gets harder to defend. The catch: one puzzle isn't proof of understanding. But the question stopped being academic a while ago. Does it understand, or does it just sound like it does? Tell me below.

A friend of mine used Claude to build things that normally take a team, a budget and months. By himself: → his own anti-detect browser, similar to Dolphin → his own email service, similar to Gmail → his own software that automates his entire workflow No paid subscriptions. His only real cost is proxies. He says the software brings in several hundred dollars a day. His routine: open it once, check that everything is running, close it. And by his own estimate it’s only working at ~30% of its potential. That’s what blows my mind. Not the money. The fact that one person with an idea and AI can now build what used to require a company. AI won’t replace everyone overnight. But in a few years it will replace a big part of what we call work today. The people who learn to build with it now will be miles ahead.