Real Life Factorio IN SPACE using ai powered autonomous mining and refining factories. You have all your needs met but if you want to have off world facilities you need to work as an AI orch     See More     See Less

Good, I've got ALOT of experience manipulating, Frankensteining, cajoling, and mentally wrestling AI models for the best, most productive spicy chat possible.     See Less

I call this the ceo delusion. People like Eric Schmidt and Andreason think this way. Such Hubris and arrogance. I don’t get it. Why would a human be needed to control the agent swarms? Why     See More another agent? This is such delusion. Humans are out of the picture.

To put this in programmer parlance: This is a recursive function with no base case.    See Less

i will not pay or believie in AI output, you still have to be a science man to verifi if AI output is another sh.t

the only true in this matter is that wi enter is huge time of manip     See More ropaganda and false science    See Less

the cycle tasks->ai agents->feedback->review is the same of Alpha Evolve. An iterative evolution based AI. The orchestrator is already an AI. Wrong?     See Less

It will be a job, just like prompt entineering was.     See Less

I'm pretty sure people in power don't need 9billion people to control agent swarms...     See Less

TIMESTAMPS & Summary (by VidSkipper     See More The future of work involves orchestrating AI agents to optimize resource use, requiring skills in system design, monitoring, and strategic judgment as AI democratizes expertise and transforms traditional roles.
0:00 🤖 The Age of the Agent Orchestrator
• 👨‍💻 Shyamal from OpenAI suggests future jobs will require skills in AI orchestration.
• 🏭 The future of work is likened to the game Factorio, involving system design and optimization.
• 🎯 Key skills include directing AI agents to fix problems, gather information, and design systems.
2:12 💸 The Scarce Resource: Orchestration
• ⚖️ Scarcity in the AI era shifts from knowing how to do tasks manually to orchestrating resources.
• 🌐 Expertise is being democratized, flattening the advantage of specialized knowledge like Excel.
• 🔑 The premium shifts to designing loops that get the right answers and run efficiently.
5:58 📉 Democratization of Expertise
• 👨‍🎓 Hiring experts for tasks like taxes may become obsolete as AI agents improve.
• 🛡️ AI will remove the 'moat' around many tasks, making it easier to create content and aggregate knowledge.
• 💡 Experts will transition to providing judgment, setting strategy, and handling unique edge cases.
10:09 🎛️ Orchestrating Fleets of AI Agents
• ⚙️ The new job is assigning resources like compute, liquidity, and human review to autonomous workflows.
• ☁️ Optimizing cloud spend and scheduling jobs are crucial for capital efficiency.
• 🤯 Google's DeepMind uses AI to optimize data centers, recovering 0.7% of worldwide compute resources.
13:38 🧠 Obstacles to Full Autonomy
• 🚧 Long-term coherence is a current obstacle for fully autonomous AI agents.
• 🧪 Alpha Evolve, optimized by DeepMind, relies on human scientists and engineers for initial prompts and evaluations.
• 🧩 Humans act as agent orchestrators, controlling, checking, and guiding AI systems.
16:57 🆚 AI vs. Human: Paper Replication
• 📊 AI agents are faster than human PhDs in machine learning at replicating research papers initially.
• ⏱️ Humans catch up and surpass AI agents after about 24 hours of dedicated work.
• 📝 Despite advancements, AI agents struggle with long-term projects and low-skill computer-based tasks.
20:40 🎮 The Game of Resource Optimization
• 🎯 The ability to turn cheap intelligence and expensive resources into valuable products is crucial.
• 🎮 Skills will resemble video games like Starcraft or Factorio, focusing on optimizing resource use.
• 💰 Step one is replicating human tasks with AI agents; step two is optimizing to make it better, cheaper, and faster.

** Generated using ✨ VidSkipper AI Chrome Extension    See Less