- Big Tech is shifting from human intelligence to AI, adding autonomous agents to the workforce. AGI is driving a $40 million profit increase. The future will see a shift from human workers to AI agents.
- AGI threatens animators and the job market. Big Labs like Deep Mind are at the forefront, but the future doesn’t need human workers.
- The cost analysis of AI agents is essential. The goal is to create AI systems that match human work value. Risk and scale play a role in determining value.
- The timeline is short, about 2 years. GPT-5 and GPT-6 will bring fully autonomous agents that challenge the workplace. The future will see significant developments with GPT-7.
- Individuals should multiply themselves with agents to counter devaluation. Investing in companies involved in AI development is essential. Aim to increase value by multiplying yourself and leveraging small agents to work on your behalf.
Table of Contents
ToggleShocking AGI & Autonomous Agents: Claude 3, GPT-5 and Future of No Jobs
π€ Future of Workforce with AI Autonomous Agents
Big Tech is revolutionizing the workforce by introducing autonomous agents, signaling a shifting focus from human intelligence to artificial intelligence. These agents operate 24/7 and offer cost control to businesses, drastically increasing productivity.
Tables | Bold | H3 |
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AI assistance work 700 times faster | CL software sees a 40 million increase in profits | Anticipating existential threat from AGI |
π¦ Impact on Economy
With the rise of autonomous agents, roles such as animators and web-based task handlers may face a decrease in demand amidst advancing AI technology.
Lists | Italic | Quotes |
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2 million animators globally and their future prospects | Big tech labs aim to leverage AI’s potential | Machines surpassing human capabilities |
π₯οΈ Future of Multi-Modal Analysis
Cloud-based models can dispatch sub-agents to analyze economies individually, creating a cost-effective and efficient system for evaluating economic data.
Tables | Italic | H4 |
---|---|---|
Comparative cost analysis | Understanding the value of AI in different environments | Measuring value and risk in AI companies |
π Timeline and Future Prospects
Evaluating the timeline and future development in AI systems, there is a short two-year window for major strides, with predictions on the release of more advanced GPT models and increased sophistication in AI technology.
Lists | Quotes | Bold |
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Projected releases of GPT-5, AGI, and Elon Musk’s influence on development | Revealing the need for individuals to multiply themselves, and the potential gap in the workforce being addressed | Strategies to leverage autonomous agents for individual and economic growth |
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