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Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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Pure Matrix
The best engineers of the next decade will not be the fastest typists. They will be the best orchestrators, and that race just got a lot more interesting.
“Just the beginning”
See THE HEROES AGENTIC AI
I’ve been part of this journey for the last two decades.
At first, we called it signal processing.
Then statistical learning.
Then machine learning.
Then deep learning.
Then transformers.
Now everyone talks about models, LLMs, and SLMs.
But in reality, it has always been part of the same evolution of AI.
Today’s AI models will evolve into something else tomorrow, just like every generation before them.
AI is not a trend that disappears.
It’s a long-term technological shift that will continue evolving for decades.
And honestly, we are still only at the beginning!
That giving me some Matrix vibes 📟
What stood out to me from Google I/O wasn’t just the 93 agents part. It’s the shift from coding manually to managing systems of agents and workflows. Now the bottleneck is orchestration. The challenge isn’t generating code, but designing good context, coordination, and decision flow between agents.
Junot Nkulu making them capable of being more dumber. I've seen GenZ using ChatGPT for travel information with manned information desks meters away from them. Just come & say Hello 👋🤗,
But No.. GenZ isn't listening with thier headphones on diving 🤿 deep into their 6inch screens, and when things go wrong they look for someone to blame. Almost comical when I see that happen
Paolo Spada an ‘oral defence’ of the submitted work should expose that i.e. a one-on-one discussion between lecturer and student where the student is asked to take the lecturer through the submitted work, explain its content and answer the lecturer’s questions. The outcome thereof can then be used to allocate a fair mark for the submitted work.
their app dont even work
Let's not forget this
Thank you for writing this so honestly, Paolo. The 'raised the floor' line is the one I keep sitting with.
The layer I'd add. We have spent two years asking 'did AI write this?' The harder question is the one you are already moving toward. What can this student actually do that they could not do before?
When the answer to that has to show up live, in a draft we watch grow, in a defense, in a problem we put in front of them, the detection question quietly retires.
Looking forward to what your department settles on.
This reminds me of a black mirror episode
I knew it
Great information will have to give this a try
Saikat Jana, PhD It seems people took this kind of idea (harvesting energy from gym) to another level. :D
You are correct, Pascal BORNET. If AI take all human work, that mean all production will happen using AI and robotics. Then the question will be who will consume these products. Currently most such products have to be consumed by humans. When humans do not have funds the consumption will drop. This is the function of the market economy. Therefore AI and robotics will not push humans from the workforce. They will assist humans to do work and produce goods and services quickly and qualitatively.
The joke lands because the question underneath is real. But there's a harder layer: work gave people not just income but also permission to exist in a structure. Remove work without replacing that structure, and you have abundance plus anomie. The redesign problem is not economic. It's social. Who decides what humans are for when labor stops being the answer? ◇
Strong resemblance with https://en.wikipedia.org/wiki/Fifteen_Million_Merits
Black mirror did this check out "fifteen million merits". If they can make AI that will do the 15 million loads of laundry I do every week I would call that a success
If you rely on a machine to think your brain will atrophy
This is highly actionable. Thank you for stripping away the noise and delivering clarity.