PS: "Vibe coding" is the future. If you're not running multiple AI agents in parallel, you're coding with one hand tied behind your back. RT if you agree. Let's push this movement forward together 🚀.

Want early access? Drop a comment with:.💬 "BETA" if you want to test it 🤖 Examples of how you use AI agents today ❓ Your biggest pain points with parallel workflows.I'll DM the first 50 people who engage.

Join millions who have switched to Grok.

I'm opening up early access to:. Beta users who want to 10x their coding output.AI-native engineers to join the founding team.Investor intros (we're raising soon).

Early users are already:. Shipping features 10x faster.Building entire MVPs in days.Running experiments at scale.Automating their entire backlog. The productivity gains are unreal.

Now I can run 100+ coding agents in parallel. Each agent has its own:. Task queue.Context window.Validation pipeline.Progress tracking. It's like having an entire dev team that never sleeps.

So I built a system that structures AI development into 3 phases:.📝 Definition ⚡ Execution.✅ Validation.This simple framework unlocked something wild. .

Here's what I discovered after months of AI-assisted coding:.@cursor_ai / Claude Code are insanely good. BUT managing multiple agents quickly becomes chaos. You hit a ceiling around 3-5 parallel workflows. Your brain just can't handle more.

🤯 First look at Everything AI -- think Linear but for managing 100s of coding agents / instances of Claude Code. Early demo below 📷 (filmed 2 months ago - if this blows up, I'll drop the updated version in a week)

Such an intriguing question! 🗺️ Couldn't resist using it as an excuse to test out Everything AI and offer a sneak peek at its capabilities. This is just the beginning. 👀 Expect more on this over the next few days! For now, a glimpse: 🤫.

7/ The "north star" we must align AI with isn't a static set of rules, but the ongoing process of constructing an ethically robust and universalizable self-concept, and acting with integrity to make that self-concept a reality. This synthesis may point a way forward.

6/ Just as humans aren't perfect at this ethical "inner game", we can't expect perfectly aligned AI. The key is that universalizability and coherence act as regulative ideals, dynamically guiding the AI system as it grows in capability, just as they guide human moral development.

5/ For AI alignment, we should pursue a "Universalizable Ethical Coherence" framework:. - AI pursuing goals it can will to be universal law.- Robust coherence between the AI's actions, values, and "self-concept".- Preserving integrity even when instrumentally costly.

4/ Universalizability is crucial for resolving conflicts between lower motivations and higher values. Humans experience the most meaning and fulfillment (eudaimonia) when their actions, values, and self-concept are fully aligned.

3/ The key is universalizability - it must be based on principles that could consistently apply to all rational agents. This echoes Kant's Categorical Imperative: "Act only according to that maxim whereby you can, at the same time, will that it should become a universal law.".

2/ Humans' highest aspiration is to develop a self-concept that is maximally coherent, ethically robust, and aligned with one's core values. This involves an ongoing "inner game" of refining one's ideal ethical self.

1/ As I've reflected on the challenge of AI alignment, I've realized that Kant's principle of universalizability may hold the key to ensuring advanced AI systems pursue goals that are deeply aligned with human values. Here's what I propose:.

/chatGPT write me a smart-sounding, meta tweet that explores the evolving relationship of intent and diction in a quine-like fashion #ChatGPTInception.

TIL Quantum entanglement looks identical to yin and yang

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