Chips, data centres, energy and spending from big tech, these
have been some of the key metrics to understand demand
around AI.
Now the focus may broaden beyond infrastructure and chat bots
to new uses, including scientific discovery.
I think scientists are starting to use it as a
tool and apply it in their technology.
And by doing that, there's probably going to be a
lot more breakthroughs that you'll hear about.
I think that we have, from the public perspective, done
a bit of over indexing on large language models.
Indeed, 2025 could mark a further shift to small language
models instead, especially as concerns build over the huge strains
that AI is placing on power grids worldwide.
That's putting the spotlight on a novel approach to training
AI tools that could democratise access to cutting edge technology.
The new machine learning paradigm will be so-called the model
over models.
What we are talking about is actually a small language
models targeting for specific domain.
When there's a decentralized version populated, many more people, many
more AI researchers or you know, democratize more people will
be involved.
I think that's very important.
Such an approach could also be critical for integrating AI
further into personal electronics like phones and PCs.
I actually would consider this technology to be the foundation
for for the future that people can have their personalized
small language models.
At a device level.
There's also set to be a greater focus on what's
known as a gentic AI, which refers to AI systems
that exhibit agency or autonomy.
You're going to start seeing AI being able to do
more multi modal, multi capable things.
And I think that the individual might start to feel
that a little bit more.
They start might to see it in their product.
On the regulation front, president-elect Trump could mean less red
tape for US tech giants, though that doesn't mean that
any lead over China in AI will be sustained.
What we start to see is, is at the US
level, this frontier area of where a select few companies
are running away with it and they look like they're
significantly into the lead.
But throughout 2024 in China, what we're starting to see
is a lot of big, powerful models that are coming
out in a more open source community.
And the base of China is wider.
The race for AI supremacy.
And AI is by no means settled as we head
into a new year.
Annabelle Rulers.
Bloomberg News.