AI Agents: Automated Trading, Limitless Productivity, Saving Time

โ€œAutonomous agents are the natural endpoint of automation in general.โ€ – Bojan Tunguz

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โ“ What You’ll Learn

  • Why use AI agents?
  • Who is using AI agents to make $3,736 in stock trading?
  • Who are the key players building AI agents?
  • Who are the entrepreneurs using AI agents for business tasks?
  • Why is AI outperforming doctors
  • Who is using AI agents to create a one-person AI business?
  • Why will AI agents transform scientific discovery?
  • Why will investment advantages fade with automated trading
  • Where can you learn the basics of AI agents? 
  • Who is using AI agents to automate Facebook Ads?
  • Who is liable for errors made by AI agents?
  • Why will regulation be hard to enforce?

๐Ÿ’Ž Why It Matters

AI agents can boost your productivity by making decisions on your behalf.

๐Ÿ” Problem

Your productivity is limited.

๐Ÿ’ก Solution

AI agents = Limitless productivity.

They can think, plan and do tasks on your behalf. 24/7. Without your supervision.

๐Ÿ Players

AI Agents

  • Auto-GPT โ€ข Open-source project that can connect GPT-4 to the internet and use apps
  • BabyAGI โ€ข Python script that plans, prioritizes and executes a series of tasks to solve a goal
  • Jarvis โ€ข Collaborative AI agent that automates workflows and manages code changes

No-Code AI Agents

  • AgentGPT โ€ข Thinks of tasks to do, executes them and learns from the results based on a goal you set
  • Cognosys โ€ข Generates and executes tasks based on goals
  • AgentRunner โ€ข Searches and browses the web for data

People Building AI Agents

  • Yohei Nakajima โ€ข Founder of BabyAGI and General Partner at UntappedVC
  • Andrej Karpathy โ€ข Computer scientist building JARVIS at OpenAI. Previous Director of AI at Tesla
  • Kanjun Qiu โ€ข CEO & Co-Founder of Generally Intelligent and General Partner at Outset Capital.

๐Ÿ”ฎ Predictions

  • AI agents will speed up scientific discovery. They can analyze large amounts of data to find new patterns and insights.
    • DataRobotโ€™s Eureqa discovers new mathematical equations from raw data. 
    • Atomwise predicts the effectiveness of potential drug molecules, expediting medicine creation.
    • Google’s DeepVariant automates the analysis of genetic sequencing data, aiding in genomics research.
  • Weโ€™ll have easy access to expert advice. AI agents can make informed decisions and offer personalized support based on domain knowledge.

โ˜๏ธ Opportunities

๐Ÿ”๏ธ Risks

๐Ÿ”‘ Key Lessons

  • Setting clear roles for AI agents leads to better outcomes. For example, BabyAGI contains 3 agents focused on task creation, prioritization and execution.
  • AI agents are ruthless in execution. We need guardrails to lower negative outcomes.

๐Ÿ”ฅ Hot Takes

  • We will have less critical thinking skills. We will rely on AI to make everyday decisions and lose opportunities to think on our own.
  • We will have deeper relationships with AI than humans. We will rely more on AI agents for companionship and emotional support.

๐Ÿ˜  Haters

โ€œMass adoption of AI agents will pressure workers to be more productive. Weโ€™ll have a worse work-life balance.โ€
Becoming more productive with AI does not necessarily lead to a worse work-life balance. Using AI agents will help you accomplish more work in less time. Using them to automate errands can free up time for things and people you love. 

โ€œAI should not be regulated because it will stifle innovation.โ€
Regulation is needed to prevent catastrophic harm. For example, non-scientist students were able to have AI chatbots generate potential pathogens to cause a pandemic in 1 hour. 

โ€œWith the rise of open-source models, regulation will be hard to enforce.โ€
Open source is an unstoppable movement. Regulation will likely be hard to enforce, but we should strive with the best effort. Itโ€™s up to us to raise our concerns and support regulations to prevent misuse.  

โ€œPeople shouldnโ€™t be fully liable for the actions of AI agents.โ€
If you delegate an AI agent to represent you and do things on your behalf, then you are liable for the actions of that agent. Respondeat superior.

โ€œMost alpha will fade when the majority of investors rely on AI agents to trade.โ€
Investors will gain a temporary edge by getting access to non-public data and using AI agents to interpret and act on it.ย But all arbitrages eventually fade.

๐Ÿ”— Links

  1. Looking for AI Agent Projects โ€ข The tweet behind this report.
  2. The Complete Beginners Guide to Autonomous Agents โ€ข Learn the basics of AI agents and their use cases.
  3. Why AI Will Save the World โ€ข Marc Andreessenโ€™s views on how AI will help society.

๐Ÿ“ Related Reports

๐Ÿ™ Thanks

Thanks to Nick Tindle, Matthew LaCrosse, Stewart Townsend, Meiko Patton, Maciej Cupial, Alex Doda and Luciano Viterale. We had a great time jamming on this report.

โœ๏ธ Miya researched and wrote this report. Dru and Emin edited this report.

๐Ÿ“ˆ What else?

Trends PRO #0118 โ€” AI Agents has more insights.

What youโ€™ll get:

  • 7 AI Agents (133% More)
  • 7 No-code AI Agents (133% More)
  • 7 People building AI Agents (133% More)
  • 7 Predictions (133% More)
  • 8 Opportunities (166% More)
  • 5 Risks (150% More)
  • 4 Key Lessons (100% More)
  • 6 Hot Takes (200% More)
  • 8 Links (166% More)

With Trends Pro youโ€™ll learn:

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  • (๐Ÿ“ˆ Pro) Where to find 41,000+ people building open-source AI agents?
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  • (๐Ÿ“ˆ Pro) Why will AI agents widen economic inequality?
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  • (๐Ÿ“ˆ Pro) Why will prompt engineering become irrelevant?
  • And much moreโ€ฆ

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