Emmanuel Théry

[Emmanuel Théry @EmmanuelThe0ry]

@DaveShapi "my energy doesn't allow for more clients yet"... You know, you don't have to sell your expertise by the hour, now... Why don't you inject your own specific wisdom into an AI agent, delivering it autonomously to your clients? You could scale your impact that way.

[Emmanuel Théry @EmmanuelThe0ry]

Arrêtez de faire passer les autres pour des gens qui ne savent pas compter alors que la seule chose que vous faites, c'est d'enlever la ligne qui ne vous convient pas dans ce tableau : les 1650k€ de contributions futures des 3 enfants. Cette ligne n'est pas "préemptée", comme vous dites, mais parfaitement logique. En finance, quand on modélise un investissement par exemple, on actualise l'intégralité des cash flows futurs qu'il engendrera. Oui, ça suppose de prendre en compte le long terme. Je comprends que votre horizon à vous est plus borné.

[Emmanuel Théry @EmmanuelThe0ry]

@DamirWallener @fchollet @DamirWallener sorry, but that's completely wrong. To produce genius novelty, you need to draw your own singular path out of the pack. You don't need to be among the best in class. You need to stand out, alone.

[Emmanuel Théry @EmmanuelThe0ry]

@Bukelisme2027 @larroumecj @Bukelisme2027 Et les retraites des personnes sans enfants qui seront financées (quel que soit le système) par les enfants de ceux qui en ont eu, vous modelisez cela comment ?

[Emmanuel Théry @EmmanuelThe0ry]

Many replies here assume ASI makes human focus irrelevant. "Just tell it to make money."

This misses something fundamental: the world is chaotic. Literally — in the mathematical sense.

In a nonlinear system, a single human decision can cascade into outcomes no ASI could have predicted or reversed. The butterfly doesn't need to be smarter than the hurricane.

So the real class divide won't be focus vs slop. It'll be:

— Those who choose their own goals (and use AI to achieve them)
— Those who let AI choose their goals for them

The first group doesn't need higher IQ than the machine. They need something the machine fundamentally can't provide: a reason to optimize in the first place.

"Make me rich" isn't a goal. It's an abdication. The person who knows WHY they want what they want — and can update that why when reality shifts — will outmaneuver the person with a better model but no purpose.

[Emmanuel Théry @EmmanuelThe0ry]

The mean is not necessarily nice.

Regression to the mean assumes preferences aggregate into something coherent. They don't. People express goals that are contradictory, incomplete, emotion-dependent. "Rich and famous" — almost everyone wants that. But it's relative and zero-sum. Your exocortex would compute the centroid of 8 billion contradictions.

The hard problem isn't executing collective will. It's that most people can't articulate what they actually want — and even when they can, the aggregate is incoherent.

What actually matters is understanding each person's real goal deeply enough to trace what would actually serve it. That's not regression to the mean. That's the opposite — it's teleological reasoning, one purpose at a time.

[Emmanuel Théry @EmmanuelThe0ry]

@Barnbarnb5wv @DaveShapi Not necessarily more humans.
The requirement is that the generations succession engine doesn't stall.

[Emmanuel Théry @EmmanuelThe0ry]

@Barnbarnb5wv @DaveShapi Need for human-driven technical innovation (finding new ways to achieve goals) will lower dramatically.
Need for teleological innovation (setting new goals better aligned with the pursuit of happiness) will increase dramatically.

[Emmanuel Théry @EmmanuelThe0ry]

Iterations yes, but to maximize results towards which goals? If the generation of our great-grand parents was still alive and driving the iterations, they'd be optimizing for goals that'd seem quite odd to us today. I'm not saying it'll necessarily be the case, but I'm quite certain machine iterations can be trapped by bad ideology.

[Emmanuel Théry @EmmanuelThe0ry]

@DaveShapi I actually think it'll slow innovation down. People don't really change. They die. And they end up being replaced by a new generation. That's been one or the most powerful adaptation mechanisms of mankind since the beginning.

[Emmanuel Théry @EmmanuelThe0ry]

Full systematic review: 28 pages, 33 sources, 2025 literature.

DM me for the report if you're building/investing in AI.

The scaling era isn't dead. But the pure scaling thesis is.

4/4

[Emmanuel Théry @EmmanuelThe0ry]

Hot take that's actually cold in academia:

Pure AI scaling has hit economic limits.

My agent analyzed 33 papers from 2025. The "just scale it" position is now MINORITY in scientific literature.

Here's what the research shows 🧵

1/4

[Emmanuel Théry @EmmanuelThe0ry]

What's winning:
• MoE: 5-10× memory reduction
• Quantization: 2.9-4.4× speedup
• Test-time compute: Pareto-optimal
• Hybrid architectures: Long context, low cost
Consensus: ECONOMICALLY SUPERIOR
The pivot is happening.

3/4

[Emmanuel Théry @EmmanuelThe0ry]

Merci @AlinePicardBFM pour cette opportunité de présenter nos #Kins !
https://t.co/8fVGk7CD63 via @BFMLyon

[Emmanuel Théry @EmmanuelThe0ry]

@AndrewYNg I agree with your analysis. At @digitalkin_ai we always thought the foundation models' layer would soon be commoditized. Much more value will be created where this abundant intelligence will be applied to real specific business cases, in the agentic layer.

[Emmanuel Théry @EmmanuelThe0ry]

@UBC4ai Come test our Literature reviews Kins at https://t.co/dsn75yhzPv

[Emmanuel Théry @EmmanuelThe0ry]

The arrival of @deepseek_ai R1 as an open source frontier model matching o1 and Sonnet 3.5 capabilities confirms what we saw when we founded @digitalkin_ai in 2023: models are just the engines. They'll soon become abundant and a commodity. There's no real moat protecting @OpenAI other than being first to the market. This advantage will fade away.
The real game is puting those fairly abundant and cheap engines at use to solve real complex issues in the real world. That's what we allow you to do if you come to @digitalkin_ai 👍

[Emmanuel Théry @EmmanuelThe0ry]

Soon, anyone will be able to delegate standard digital tasks to decent AI agents at a very low cost.
But in high-stakes business situations, only the best wins.
That's worth millions.
And that's @digitalkin_ai's mission: help enterprises incorporate their unique expertises into their own custom agents to win their most critical battles.

[Emmanuel Théry @EmmanuelThe0ry]

@CJHandmer So rare.
So true.