In 2024, I talked about AI models in the form of LLMs and
unique 3D AI Apps having the ability to create 3D objects. Objects are great,
but AI must advance. So what's next? Read on!
In 2024 and 2025, the world experienced new AI capabilities
in the form of Large Language Models (LLMs) creating 3D and innovative 3D AI
applications capable of generating fully realized 3D objects. These systems
marked a major technological milestone: machines that could not only understand
human language but also create in 3D space, tangible digital objects, parts,
and characters. Yet, as transformative as this has been, it is only the
beginning. The real question now is: what comes next?
Moving Beyond Creation to Interaction and Autonomy
Which way, western man? What we have seen is that creators
and builders of AI are recognizing the unique job of having AI craft 3D, and in
that there is a fundamental commonality: internal skeletons for 3D characters.
Avatars, creatures, and human shapes require bones for the games and
simulations to enable function...... or do they? THEY DON'T! Now, shockingly,
surprisingly, there is a new path that has emerged, because AI can now mostly
correctly and properly figure out how things are supposed to animate, all
without a skeleton! That is a revolutionary concept, but it doesn't mean that
skeleton rigs are going away, so there are two paths!
The ability to create 3D is powerful, but creation alone is
limited without context, purpose, and interaction. The next leap in AI will
involve systems that don’t just generate items and people, but understand
and operate within dynamic environments. Instead of merely producing a 3D
model of a chair, the AI of tomorrow will:
- Design
environments where that chair exists, considering ergonomics,
lighting, and user behavior.
- Adapt
in real time to changing conditions, learning from feedback without
retraining.
This shift transforms AI from a tool into a crafter, capable
of co-creating and co-connecting inside of complex digital and physical worlds.
Indeed creating 3D scenes, rooms, buildings, stages, and
mini-worlds are coming. Not AI generated video-like 3D, but crafted and created
3D worlds that are used in Virtual Reality sims and games. The utility of this
is far too great to be missed, as in an important cerebral step for AI to take
as it takes on bigger, more complex challenges.
It sounds simple, doesn't it? Create a world. Create an
interrogation room for a role-play video game. Create a science lab where the
user can do fun experiments. Let's take that example. 3D objects begin to gain
complexity because they can have properties, characteristics, and even
*scripting*. Let's say you have a glass vile in the 3D lab with a green liquid.
Modeling stationary green fluid as a shape inside the glass might be simple
enough, but what if you want physics? A physics engine can support that, but
the object has to tell the engine what that liquid is. Let's say when you tilt
the vile over, a green liquid is generated by coding in a script making it do
that. The AI could potentially incorporate that.
I'd like to mention one quick example: Let's say, AI model
scissors as a 3D object. Our human expectation is that there is a screw or bolt
holding those two scissors pieces together, and that when in the physics world
the handle is held and the pieces spread, that it should rotate on the axis of
that bolt or screw. That's a more complex ask than modeling 3D scissors as one
part, or even two or three parts. There is an actual physics trait there!
3D Advancement for AI
Last year gave us objects - beautiful, functional, and
impressive creations. The future, however, will give us complexities of
intelligence: creative, adaptive, and purpose-driven AI creations that work
for our needs. This next chapter is going to show how AI agents and platforms
gain agentic intelligence, 3D modeling intelligence, and related systems
intelligence.
First AI shapes our 3D virtual reality, then AI shapes
our physical reality.
Article augmented by AI.
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