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  • How To Build The Future Summary: A Conversation on Innovation, AI, Startup and the Path Forward

How To Build The Future Summary: A Conversation on Innovation, AI, Startup and the Path Forward

A discussion between President and CEO of Y Combinator Garry Tan and the CEO of Open AI on "How to build the Future"

Image source - Y Combinator youtube

The world will ask you who you are, and if you don't know, the world will tell you." 

Carl Jung

This is one of the best discussions I have a listened to. A fascinating discussion between the CEOs of Y Combinator and OpenAI. They discussed the present and future of technology, the evolving field of artificial intelligence (AI), and the journey of creating groundbreaking tech products. This discussion, aptly named "How to Build the Future," traversed themes of techno-optimism, the power of scaling in AI, the importance of peer groups, and the ultimate pursuit of Artificial General Intelligence (AGI).
Here’s a comprehensive summary of the conversation, 9 key takeaways

1. The Golden Age for Tech Startups


The conversation began with reflections on why this era is a particularly promising time to start a technology company. Advances in AI, computing power, and data availability have aligned to create unprecedented opportunities for tech startups, marking what the Sam Altman view as The Intelligence Age.

Garry Tan - Is this the best time ever to be starting a technology company?
Sam Altman - Let’s at least say it’s the best time yet. Hopefully there may be a better time in the future.

This surge in innovation allows for new startups to challenge established industries, which may be hampered by slow processes or legacy structures. Agile startups that harness these tools can move faster, iterate more effectively, and ultimately build revolutionary products.

2. Optimism in Abundant Intelligence and Energy

One of the most transformative visions they shared was around the concept of "abundant intelligence and energy." They believe that if humanity can achieve practically unlimited energy, it would drastically change society, making an "age of abundance" possible.

"The unlock that would happen if we could just get truly abundant intelligence, truly abundant energy... that would be a huge unlock."

Sam Altman

If intelligence and energy become readily available resources, it would unlock a world where creativity, physical labor, and even complex problem-solving tasks could be largely automated. This abundance could lead to solutions for many of the world’s pressing challenges, from climate change to healthcare and beyond. In general it will affect the quality of life.

3. The Impact of Peer Groups on Founders

Beyond technical resources, they emphasized the importance of having a strong and inspiring peer group, especially in the early stages of a founder's journey. They credited much of Y Combinator’s success to its community of founders who encourage each other to think big and to challenge traditional boundaries.

“Being around inspiring peers, so, so valuable.”

Sam Altman

They noted that peer pressure, when harnessed constructively, can propel founders to be more ambitious and creative, pushing the limits of what’s possible in a supportive environment.

4. Y Combinator Research and OpenAI's Early Vision

A throw back to the origins of OpenAI, they discussed the risks and rewards of setting audacious goals. OpenAI's founding mission was to pursue AGI at a time when the field was more skeptical and, in some cases, critical of the idea.

We said from the very beginning we were going to go after AGI... even when the field thought that was crazy.

Sam Altman

Initially, OpenAI’s mission was seen as bold and unconventional, with many experts doubting the feasibility of achieving AGI. However, this mission, and their unyielding pursuit of it, proved to be instrumental in advancing deep learning and language model research, ultimately leading to some of the groundbreaking models we see today.

5. Scaling and High Conviction: Cornerstones of OpenAI’s Success

A significant portion of the discussion focused on how OpenAI leaned into scaling AI models and the conviction that AI systems improve with size. This belief was essential to their progress, as scaling AI was a relatively controversial idea at the time.

Deep Learning works and it gets better with scale.
Scale is this thing that I’ve always been interested in... I think it’s a very underappreciated property and thing to go after"

Sam Altman

This scaling approach led to impressive advances in language models, demonstrating that as neural networks grow larger, they become more capable. Despite initial criticism, OpenAI’s "more is more" philosophy resulted in the rapid progress of models from GPT-1 to GPT-4.

6. Embracing Mistakes and Iteration in AI Development

They were candid about OpenAI’s iterative journey, acknowledging that early on, they made many missteps, tested unproven theories, and frequently had to pivot. They attributed much of OpenAI’s progress to their willingness to acknowledge mistakes and learn from them quickly.

“We’ve been humbled and badly wrong many, many, many times. One of our strengths is the ability to get punched in the face and get back up.”

Sam Altman

This openness to experimentation and resilience proved invaluable, enabling the company to refine its direction and ultimately develop more effective models, even as they faced industry skepticism.

7. Levels of AI Development

The discussion introduced a five-level framework for understanding the trajectory of AI development:

  • Level 1: Basic chatbots.

  • Level 2: Advanced reasoners that can handle complex problem-solving.

  • Level 3: Autonomous agents capable of performing longer-term tasks and interacting dynamically with users.

  • Level 4: Innovators—AI that can explore and generate scientific or technological breakthroughs.

  • Level 5: Systems that operate on an organizational scale, managing and directing complex projects or even entire companies.

    Each level represents a new frontier, with future AI systems expected to progress from mere task completion to initiating new ideas and managing large-scale projects autonomously.

8. Advice to New Startup Founders

For those on the cusp of launching new ventures, the CEOs advised founders to capitalize on the speed, focus, and flexibility that come with operating at a small scale. Unlike large corporations bogged down by processes, new companies have the advantage of being nimble, which is crucial for success in fast-moving tech spaces.

“Your advantage with speed and focus and conviction... is the number one edge of a startup, kind of ever, but especially right now.”
You never know you have a hit product until it put it in customers hands

Sam Altman

They also cautioned against relying solely on the “magic” of AI and reminded founders to build sustainable businesses with real value, beyond the capabilities of AI.

9. Looking Forward: The Path to AGI and Beyond

Closing the discussion, the CEOs shared their enthusiasm for what lies ahead in 2025 and beyond, particularly with regard to AGI’s potential to transform industries and solve some of the world’s greatest challenges. They see this development as a long-awaited milestone in human progress.

“What am I excited for in 2025? AGI. Yeah, excited for that.”

Sam Altman

While achieving AGI will require continued dedication and careful navigation of technical, ethical, and societal challenges, they remain optimistic about its potential to improve the world.

Final Thoughts

This conversation highlights the immense promise and complexity of building a future with AI at the helm. The journey toward AGI and the anticipated "age of abundance" presents a world of possibilities for startups and innovators willing to tackle ambitious challenges. For founders today, there’s no better time to build and as these leaders have shown, a blend of conviction, resilience, and community support is key to pioneering this new frontier