Talk about the misuse of AI and the dangers it could bring if not used properly, focusing attention on the wrong things. Keeping humans at the center of the technology, not to replace. “We are in 2107 years in the future, we are looking back in time to warn 2024 of the misuse of AI. We have 2 billion less of the population, water levels rose and took land, harvest and some technology away from us and not everyone survived or knew how to do everything you do in the present. We should have worked together more, we do now. We could have focused on the right things to use AI for rather than to help the rich stay rich and live longer. We appreciate what value people can offer rather than making them redundant.” - Mike 🙂

1. Suffering an
AI Change
Bill Thompson for BoS 2024
Don’t look for me on X/Twitter as it’s a trash fire.
Find me on Threads, Mastodon, Bluesky, LinkedIn

2. tl;dr
After the Jackpot, the world in 2107 still uses AI, and climate
change is still a problem

3. Full AI-enabled the business lies
of its code are models made
those are prompts that were its teams
nothing of it that doth fade
but doth suffer an AI change
into something rich and strange.
Chainèd prompts ring its knell
ding-dong.
Hark! The model speaks, what will it tell?
After Wm Shakespeare.

4. A bit about me
Philosophy; Psychology; Computer Science. 1981 Pt IB dissertation on machine vision, with Geoff Hinton

5. A bit about AI
This is not about ‘intelligence’. Shame we didn’t call it ‘computational rationality’ back in the 1950’s.
“a machine-based system that is capable of influencing the
environment by producing an output (predictions,
recommendations or decisions) for a given set of objectives.
It uses machine and/or human-based data and inputs to (i)
perceive real and/or virtual environments; (ii) abstract
these perceptions into models through analysis in an
automated manner (e.g., with machine learning), or manually;
and (iii) use model inference to formulate options for
outcomes. AI systems are designed to operate with varying
levels of autonomy”. OECD

6. Computrainium
Adding new capabilities to the computational matrix. Not fairy dust.

7. Not just GenAI
AI has a seventy year history, and includes much more than LLMs and diffusion models

8. We have taught the machines how to think,
and our profit on’t is they know how to
hollow out the middle-class tax base by
making many professional roles either
redundant or more efficient – either way
we need fewer people.
After Wm Shakespeare.
Let’s worry about bias, misinformation, surveillance, climate change, extractive capitalism,
models of assessment and the impact onwork

9. Wider questions to consider
What is the nature of the information ecosystem in the age of AI. How do we develop these powerful tools to serve real needs
and not just the accumulation of wealth?

10. The impact of AI – particularly GenAI – is growing
Conversational search; conversational machines; chained LLMs; embedded LLMs;

11. Spot the tour guide
Boston Robotics Spot robot with ChatGPT API (GPT-4), Spot SDK, Respeaker V2

12. A new Luddism?
Can we find a way to push back against extractive, surveillant
AI? Can we imagine a humane AI?

13. The World from 2107
Imagine you’re in 2107
Look back at today
Talk to the delegates about what
happened, how you get there, what could
have been done differently

14. Greetings from
2107
You may not find
this fun

15. “
”
Thank you
And good luck