The competitive advantage of #AI teachers to countries

The competitive advantage of #AI teachers to countries


The last two days were truly magical with our Oxford AI Summit

I will share more about this soon

But I wanted to share this one idea

Which came to me after the keynote from David Knott

David said that Sovereign AI i.e. countries investing in infrastructure and resources to build their own AI models may not be the way to go

That's a contra view to much we see today

But I see his point

But that begs the question:

If not sovereign AI, then what else can countries do to take the lead in AI?

The obvious suspects are skills, education, and lifelong learning

If you ask software vendors - you see the same promotional efforts

We need something else

I have been developing our methodology for rapidly teaching AI.

In the summit we (me, Anjali Jain and Ay?e Mutlu ) presented it and it was well received.

We now want to open it to a wider group i.e. teachers

Specifically, we believe that we could tie AI teaching to competitive advantages for nations
In contrast to a top down efforts like sovereign AI and spending billions, we want to undertake a more grassroots effort

This is a social initiative which we are undertaking through Erdos Research for teachers

Me, Anjali and Ayse are creating a position paper on this and also releasing our methodology for teachers

In terms of tools, we want to keep it open (and open source) - so we decided to go with LlamaIndex x based on Jerry Liu talk (from RAGs to agents)

We very much look forward to working with Jerry and his team

So, it would be a methodology (based on our work) combined with an agentic workflow using llamaindex i.e. an open #AI agent designed for teachers worldwide
To demonstrate the competitive advantage of AI teachers to nations, we would tie AI teaching to economic metrics ex sub-components of GDP and conduct more ongoing analysis like longitudinal studies

I would like to also thank James Elles for his inspiration for my work


also the wider Erdos team

Alexander Ash [MBCS, BSc (Econ)] ?????

Aditya Jaokar

Ravindra Gadgil

Bürde Apar? and

Dr. Kaouter Karboub


Deepak Chavan

LinkedIn Top Voice ?? GM@Mphasis ?? Digital Transformation l Product Development l IT Operations l Managed Services | Project Management ?? PMP, ITIL, SAFe Agilist, NLP Practitioner

9 个月

LlamaIndex is flexible and can be adopted quickly, way to go ??

Ravindra Gadgil

ERP Cloud/ SaaS Solution Architect / Consultant

9 个月

Democratisation of AI and countries, regions, mega corporates developing their own ( proprietary ) AI eco system is counter arguments. Is there a way to break this narrative and reach a common ground to achieve both objectives. Democratisation and corporate aims / goals are opposite narratives So balancing both of them is a bigger challenge than usage of AI

love this. Feels like we don't talk enough of the transformative effect AI will have on teaching. Not only in a classroom setting but that everyone gets their own private tutor. Personally, that's where generative AI has had the biggest impact for me, I learn at an unprecendented rate. I would go so far as to guess that for example, master's programs in the future could be done at half the time with AI improvements on curriculum and everyone having their own AI tutor.

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