THE TRUTH ABOUT AI WHAT'S ACTUALLY TRUE RIGHT NOW: Synthetic data is real. AI models generate training data for other models. Happens at major labs - OpenAI, Anthropic, Google. AI assists research. Tools help write code, analyze results, generate hypotheses. It's a powerful assistant for researchers. Automation exists. Running experiments, processing datasets, computing metrics - parts of the pipeline are automated. AI helps improve AI. Models evaluate other models, generate training examples, assist in design choices (e.g., search spaces, ablations) and training/eval settings. We don't fully understand internals. Neural networks are partly opaque - and because of this, active oversight and safety evaluations exist. WHAT'S NOT HAPPENING: No "closed loop" exists. Humans set objectives and approve deployments. AI feedback is used for some steps (like RLAIF), but humans govern the process. Humans make all strategic decisions. What to pursue, what safety tests to run, when to train, what to deploy. No one's letting AI run wild. Are major labs such as OpenAI, Anthropic, Google, Microsoft planning to let AI recursively improve itself unsupervised? Absolutely not. That's science fiction. THE ACTUAL CONCERN: The real question isn't "are we letting AI run wild?" We're not. It's "could we gradually lose oversight as systems get more complex, even while thinking we have control?" There's also a real technical risk: if AI trains only on AI-generated data without careful curation, quality degrades (model collapse). That's a legitimate debate. It's about potential future loss of control, not current practice. WHY THE CONFUSION: "AI training AI" sounds like a runaway process. In reality it means: A strong model generates coding problems to train a newer model One model evaluates another's outputs Automated hyperparameter searches AI helps write training code While humans aren't involved in every step of the process, they govern it - they engineer the systems, oversee the training, and build in checks and balances against critical errors.

Why do the shittiest, lowest effort tweets go viral?

Before you become an AI doomsayer, understand how LLMs actually work: LLMs train on large mixes of licensed publicly available data (docs, code, papers, forums, books) and synthetic data—with millions of new posts published daily. They use pattern recognition and probabilistic modeling to generate responses. The process is more nuanced, but that's it in a nutshell. One source going quiet? Impact depends on licensing and data access; big losses can dent specialized capabilities. Much of the training data is out there, but copyright disputes are reshaping how it's accessed.

Mars by 2035 (speculative date) for SpaceX—what's your bet? ⭕ Yes, crewed landing ⭕ Yes, but later ⭕ Only uncrewed ⭕ Never (Reply with your reasoning👇)

OpenAI designing custom AI chips with Broadcom - 10GW deployment

Absolutely agree! I got a ton of likes and some followers from one reply a few days ago. Now my premium analytics graph has this one massive spike that makes everything else look tiny. And here I am trying to replicate it daily, chasing that next home run post. Spoiler: it's hard to hit home runs every day.

Some days the algorithm loves you and it feels like you hit a home run. Other days it's radio silence and you're shouting into the void. Not complaining—just the reality of posting online. 🤷

3 Focused Principles of Stoicism Stoicism is ancient wisdom that applies as powerfully today as it has throughout history. It's a practical framework for mastering your emotions and actions. 1. Control What You Can Control (Epictetus - "Dichotomy of Control") • Wasting energy on things beyond our control leads to suffering—focus your effort where it actually matters: your own choices and character. 2. Accept What You Cannot Change (Marcus Aurelius, Epictetus) • Acceptance isn't defeat or passivity—it's clarity that liberates you to act where you actually have power. 3. Practice Self-Discipline and Temperance (All Major Stoics) • Self-discipline isn't about punishment; it's about freedom from being controlled by desires and emotions.

Norway's sovereign wealth fund - the world's largest - is using Claude AI to analyze their trillion-dollar portfolio. Maybe AI skeptics should pay attention to what the smartest money in the world is doing. claude.com/customers/nbim

Stop treating AI like a religion. It's not our savior. It's not our doom. It's just powerful technology with massive potential and real risks. The fundamentalists screaming on both sides? They're usually not the ones actually building anything useful with it.

Stop asking "Claude or ChatGPT?" Use both. Write in Claude. Fact-check in ChatGPT. Bounce it back. Repeat. LLMs hallucinate differently. Their blind spots don't overlap. Two models arguing with each other will get you closer to truth than either one alone.