AI in 2025
I used to fear that AI would trap each of us into our own universe. Now I’m imagining a future that’s far more mundane. It’s one where I use AI to write you a thing. Then you have your AI summarize it. Then you have your AI write back. And then my AI summarizes it. Why wasn’t it all just summarized in the first place? Does anyone need to have a... See more
If you use AI to write me that note, don’t expect me to read it
the future (extra) mundane…
If LLMs become the front doors to the internet, discovery changes fundamentally.
We’re moving from keyword search to conversational prompts like:
LLMs, and soon, their super-app incarnations, will decide which brands and... See more
We’re moving from keyword search to conversational prompts like:
“Plan me a sustainable dinner party for under £40.”
“Find me running shoes like the ones I bought last spring, but waterproof.”
LLMs, and soon, their super-app incarnations, will decide which brands and... See more
Zoe Scaman • Field Notes From the Edge
GEO is here
It’s not either/or. It’s:
Because while plug-and-play power is seductive, strategic sovereignty is priceless.
Don’t run headfirst into an enterprise solution and shackle your company’s goldmine—your data, your insights, your competitive advantage—to a big provider who... See more
Closed models → fast experimentation
Proprietary models → scalable differentiation
Because while plug-and-play power is seductive, strategic sovereignty is priceless.
Don’t run headfirst into an enterprise solution and shackle your company’s goldmine—your data, your insights, your competitive advantage—to a big provider who... See more
Zoe Scaman • Field Notes From the Edge
I conceive of supraintelligence as a multidimensional form of human intelligence—emergent, embodied, and ethical—that grows in response and in relationship with technological complexity.
It enables us to center and work with the various levels of our being, while navigating the transformations brought on by AI and other exponential technologies.
I... See more
It enables us to center and work with the various levels of our being, while navigating the transformations brought on by AI and other exponential technologies.
I... See more
Supraintelligence: Human Software for Exponential Times?
moving towards 2026
the term AI is a huge disservice and collective intelligence is a far more accurate term.
Because if you strip LLMs to their essence, they are just a much better way of using statistics to aggregate human intelligence and connect everything we’ve all done together to get more use out of it.
Once I saw that, I couldn’t unsee it.
Because if you strip LLMs to their essence, they are just a much better way of using statistics to aggregate human intelligence and connect everything we’ve all done together to get more use out of it.
Once I saw that, I couldn’t unsee it.
Sari Azout • Becoming unLLMable
Every insight, every behavioral cue, every loyalty signal risks being swallowed by the assistant layer sitting between you and your audience.
This is the architecture of an AI operating system for daily life. And it raises existential questions for brands:
This is the architecture of an AI operating system for daily life. And it raises existential questions for brands:
- Who owns the persistent record of customer context?
- How do you build loyalty when memory and
Zoe Scaman • Field Notes From the Edge
The omnipresent do-anything button of AI is certainly tempting. And companies including OpenAI, Google, and Microsoft are encouraging such behavior while hoping to prove out their investment in AI tools.
If you use AI to write me that note, don’t expect me to read it
The future of AI isn’t monolithic. It’s modular, dynamic, and orchestrated like a symphony.
Zoe Scaman • Field Notes From the Edge
One of the clearest signals from Nvidia, OpenAI, and even smaller startups was the rise of the Mixture of Experts (MoE) architecture.
Instead of a single, giant LLM handling every task, MoE uses small, specialised models — each tuned for a specific domain (e.g. financial language, retail SKU logic, creative copywriting).
It’s cheaper: Not every query hits a massive model, reducing compute costs.
It’s faster: Only relevant experts “activate,” improving speed.
It’s more precise: Specialists outperform generalists in nuanced tasks.