"My Productivity System in Tana (This is the simplest solution that works. Hear me out.)"

Peter Buck

Hatched by Peter Buck

Jul 22, 2023

4 min read


"My Productivity System in Tana (This is the simplest solution that works. Hear me out.)"

What are objectives? Here’s the definition of the word objective according to the Merriam-Webster dictionary. Objective (noun) | something toward which effort is directed: an aim, goal, or end of action. This is the exact description I use to determine whether something is an objective. By leaving the definition as broad as possible, I am able to group different tags into the objective category. A #goal is an aim for making a change to an area of my life. A #project is a series of efforts toward a desired outcome. A #book or #game has a desired outcome of finishing. A #blogpost has a desired outcome of publishing.

Now, let's shift our focus to the future and explore what GPT-2030 might look like. GPT2030’s capabilities turn out to be surprising (to me at least). In particular, GPT2030 will enjoy a number of significant advantages over current systems, as well as current human workers. GPT2030 will likely be superhuman at various specific tasks, including coding, hacking, and math, and potentially protein design. This advancement in technology opens up new possibilities and opportunities for industries across the board.

One notable advantage of GPT2030 is its speed. It can "work" and "think" quickly, estimated to be 5x as fast as humans in terms of words processed per minute. This speed could be further increased to 125x with additional investment. This rapid processing capability can revolutionize industries that rely heavily on data analysis and computational tasks. Imagine the possibilities of having a system that can process and analyze vast amounts of information in a fraction of the time it would take a human.

Another advantage of GPT2030 is its ability to be copied and run in parallel. The organization that trains GPT2030 would have enough computational power to run multiple copies simultaneously. This means that the work that would take millions of years for humans to complete could be done in a matter of months. The sheer efficiency and productivity of GPT2030 would be unparalleled.

Additionally, GPT2030's copies can share knowledge due to having identical model weights. This allows for rapid parallel learning, with an estimated equivalent of 2,500 years of human learning in just one day. The ability to quickly acquire and share knowledge would have a significant impact on research, education, and problem-solving.

Moreover, GPT2030 will be trained on additional modalities beyond text and images. This includes counterintuitive modalities such as molecular structures, network traffic, low-level machine code, astronomical images, and brain scans. The potential of GPT2030 to understand and process information from these diverse sources opens up new frontiers in various fields. It can provide insights and solutions that humans may have never considered before.

In conclusion, the future of productivity systems and artificial intelligence looks promising with the development of GPT-2030. Its superhuman capabilities, speed, parallel processing, and ability to acquire knowledge quickly and share it with other copies make it a game-changer in various industries. However, it's essential to approach this advancement with caution and consider the ethical implications it may have. As we embrace the potential of GPT-2030 and similar technologies, here are three actionable pieces of advice:

  • 1. Embrace collaboration: As GPT2030 can be copied and run in parallel, organizations should encourage collaboration among multiple instances of the system. This will lead to increased productivity, rapid learning, and the generation of novel ideas.
  • 2. Invest in computational power: To maximize the capabilities of GPT2030, organizations should invest in high-performance computing infrastructure. By increasing the computational power available, the speed and efficiency of GPT2030 can be enhanced, leading to even greater productivity gains.
  • 3. Ethical considerations: It is crucial to have robust ethical frameworks in place when utilizing GPT-2030 and similar technologies. Organizations should prioritize transparency, fairness, and accountability to ensure that the use of AI systems aligns with societal values and avoids potential harm.

As we move towards a future where productivity systems like GPT-2030 become a reality, it is essential to harness their potential while also addressing the challenges and ethical concerns that arise. By leveraging the benefits of this technology and implementing responsible practices, we can shape a future where productivity and innovation go hand in hand.

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