What's next in AI?

The past 15 months have been pretty crazy, even by tech’s typical breakneck pace. We had ChatGPT v1 evolve to ChatGPT-4 - now able to create original poetry, and write screenplays. Midjourney gave us a tangible visual of the progress, check out the image below – both outputs are using the same prompt.

Midjourney v1 to v6

Image source: https://goldpenguin.org/blog/midjourney-v1-to-v6-evolution/

We’re living through a transformation that only comes once in a generation.

The FAANG companies, with a combined market cap of $7.82 trillion, have not just acknowledged this shift; they have placed AI at the core of their business models, marking a decisive turn in how technology will shape our future.

To signify this evolution we’ve even got a new acronym ‘MANG’ (Microsoft, AWS, Nvidia, and Google) – coined by Apoorv Agrawal at Altimeter. This group signifies the growing prominence of venture capital investment in the data and AI sectors.

These developments underscore a broader trend in tech, where AI is no longer an ancillary tool but a central pillar driving innovation and reshaping industries.

As companies continue to invest heavily in AI, it’s becoming increasingly clear that we are on the cusp of a new era in technological advancement.

The next 15 months promise to be even more groundbreaking.

And when I’m thinking about future Scott writing this post in mid-2025, I’m trying to predict what’s going to be the focus. What ‘app-de-jour’, technology advancement, or entirely new category will have spun up.

For me I keep coming back to ‘Medicine 3.0’, materials science and AGI

For ‘Medicine 3.0’ - I think the smartest newcomers to the space will be attracted to the important mission of longevity. Using AI’s incredible capabilities to analyse the insanely complex thing that is the human body. They don’t want to focus on optimising ad-spend, they want to be removing needless human suffering, they want to extend families time together.

I also think Materials science is set to play a crucial role in humanity’s quest to become a multi-planetary species. Innovations in materials and propulsion systems are fundamental to achieving this goal. AI’s ability to analyse vast datasets and simulate complex material properties could lead to the discovery of new, sustainable materials and more efficient propulsion technologies. As we’ve already seen with Google’s Deepmind. These advancements are not just about space exploration; they hold the potential to bring about significant changes in various industries on Earth, from construction and manufacturing to energy and transportation.

There’s a lot of talk around AGI – a transformative leap that could be just around the corner. Imagine an AI with the breadth and depth of human intellect, yet unbounded by our limitations. Personally, I think we might get there in 3-5 years, it really depends on your definition, and whether it’s ’narrow-AGI’ or not. Once we do start to crack the code of it, AGI is poised to redefine our existence.

Here’s a Haiku by GPT-4, on the essay above:

AI’s leaps, in months fifteen,
New worlds in code we’ve seen.
Future bright, unconfined.

What are your thoughts? Let me know on 𝕏