The Day The AGI Was Born: Startup Priorities and the Future of AI

The Day The AGI Was Born: Startup Priorities and the Future of AI

In the world of technology and artificial intelligence (AI), there are two topics that have been making headlines recently: the birth of AGI (Artificial General Intelligence) and the priorities of startups. While these may seem like unrelated subjects, upon closer inspection, we can find common points and connections between them that shed light on the future of AI and the challenges faced by startups.

The birth of AGI, also known as "The Day The AGI Was Born," has been a topic of much discussion and speculation. The emergence of a new model called GPT-3.5 series has brought us closer to achieving AGI. This model, an InstructGPT sibling, is particularly impressive in its ability to generate text that follows instructions. With a long-term memory of up to 8192 tokens, it surpasses its predecessor, GPT3, in terms of input and output length.

However, it is important to note that this AGI model still has its limitations. It cannot perform mathematical calculations, often generates false information about the real world, writes poor code, and does not pass Turing, SAT, or IQ tests. Despite these shortcomings, it has found its niche in use cases where creativity is more valued than precision, such as brainstorming, drafting, and presenting information in creative ways.

Interestingly, the discussion around AGI and its capabilities brings us to the startup world and the concept of prioritization. Startup founders face the daunting task of deciding where to focus their limited resources and time. Making the right choices can pave the way for success, while spending too much time on the wrong things can lead to an early demise.

One key principle in startup prioritization is choosing a metric to track and focusing exclusively on making that metric grow. This metric should be one that the founder believes they can increase and one that matters in terms of objectively measuring the company's progress, especially in the eyes of potential investors. By honing in on this metric and directing efforts towards activities that directly contribute to its growth, startups can set themselves on the path to success.

The formula (b * d) / c plays a crucial role in this decision-making process. Here, "b" represents the number of users impacted by a new feature, "d" describes the importance of that feature to the average user, and "c" indicates the difficulty in building the feature. Startups are advised to prioritize building features that have a profound impact on a large number of users, can be developed quickly and affordably, and align with their product/market fit. In the early stages, the focus should be on finding 100 users who genuinely love the product before scaling and growing the user base to gather the necessary data for further development.

Now, how does this connect back to the birth of AGI? The debate surrounding AGI centers around its potential to replace Google as a source of information. While ChatGPT, a variant of AGI, provides direct and legible answers to questions, it often lacks accuracy and reliable sourcing. This brings us to the importance of external assets in enhancing the capabilities of AGI. By combining the power of AGI with external resources, we can compensate for its limitations and bridge the gap between creativity and precision.

In conclusion, the birth of AGI and the priorities of startups are intertwined in more ways than we may initially realize. Both highlight the need for effective decision-making, focusing on key metrics, and leveraging external assets to overcome limitations. As we navigate the ever-evolving landscape of technology and AI, three actionable pieces of advice emerge:

1. Choose a metric that matters and focus on activities that directly contribute to its growth. This will ensure that your startup is on track for success and can objectively measure its progress.

2. Prioritize building features that have a profound impact on a large number of users, can be developed quickly and affordably, and align with your product/market fit. This will help you establish a strong foundation before scaling and gathering valuable user data.

3. Explore the possibilities of combining AGI with external assets. By leveraging external resources, you can enhance the capabilities of AGI, compensate for its limitations, and bridge the gap between creativity and precision.

As we witness the birth of AGI and navigate the challenges of startup prioritization, it is crucial to embrace innovation, adaptability, and strategic decision-making. The future holds immense potential, and by harnessing the power of AI and making wise choices, we can pave the way for a successful and transformative journey.