Xavi Schelling

🚨BREAKING: MIT put brain scanners on people using ChatGPT. It is erasing your memory faster than Google ever did. 83% of ChatGPT users couldn't remember what they wrote. Minutes later. Not days. Minutes. In 2011, researchers discovered the "Google Effect" -- people stopped memorizing what they could look up. Your brain outsourced storage to the search bar. What's happening with ChatGPT is significantly worse. MIT put EEG monitors on 54 people writing essays with either ChatGPT, Google search, or no tools. The brain-only group lit up across memory, creativity, and planning networks. The Google group was weaker. The ChatGPT group? A 47% collapse in brain connectivity. Their brains basically clocked out. 83% of ChatGPT users couldn't recall what they'd written minutes earlier. Only 11% failed in the other two groups. The ChatGPT group wasn't even sure the essays were theirs. Google made you forget where you read something. ChatGPT makes you forget you read anything at all. With Google, you still scanned, compared, and synthesized. With ChatGPT, you ask, receive, paste. Information passes through your brain like water through a pipe. Wharton confirmed it across 10,000 trials. Over 50% surrendered their reasoning to AI voluntarily. Confidence went up. Accuracy went down. They called it "cognitive surrender." Google made us lazy searchers. ChatGPT is making us lazy thinkers.

🚨BREAKING: OpenAI published a paper proving that ChatGPT will always make things up. Not sometimes. Not until the next update. Always. They proved it with math. Even with perfect training data and unlimited computing power, AI models will still confidently tell you things that are completely false. This isn't a bug they're working on. It's baked into how these systems work at a fundamental level. And their own numbers are brutal. OpenAI's o1 reasoning model hallucinates 16% of the time. Their newer o3 model? 33%. Their newest o4-mini? 48%. Nearly half of what their most recent model tells you could be fabricated. The "smarter" models are actually getting worse at telling the truth. Here's why it can't be fixed. Language models work by predicting the next word based on probability. When they hit something uncertain, they don't pause. They don't flag it. They guess. And they guess with complete confidence, because that's exactly what they were trained to do. The researchers looked at the 10 biggest AI benchmarks used to measure how good these models are. 9 out of 10 give the same score for saying "I don't know" as for giving a completely wrong answer: zero points. The entire testing system literally punishes honesty and rewards guessing. So the AI learned the optimal strategy: always guess. Never admit uncertainty. Sound confident even when you're making it up. OpenAI's proposed fix? Have ChatGPT say "I don't know" when it's unsure. Their own math shows this would mean roughly 30% of your questions get no answer. Imagine asking ChatGPT something three times out of ten and getting "I'm not confident enough to respond." Users would leave overnight. So the fix exists, but it would kill the product. This isn't just OpenAI's problem. DeepMind and Tsinghua University independently reached the same conclusion. Three of the world's top AI labs, working separately, all agree: this is permanent. Every time ChatGPT gives you an answer, ask yourself: is this real, or is it just a confident guess?

🧵 VO₂max of 101? Let’s slow down. Recently, Olympic triathlete Kristian Blummenfelt shared images from a lab test on social media. Headlines followed instantly: 👉 “World record VO₂max” 👉 “Over 101 ml·kg⁻¹·min⁻¹ But is this real? Let’s analyze it with lab eyes👇