Fred Montagnon

speaker
586 appearances 6 recordings 1 series first heard Jun 2026 last heard 14 Sep

Fred Montagnon’s voice in public audio — every appearance, attributed to the second.

Trend

recordings per month · last 12 months
4 · Sep OctJan 26AprJulnow

Recordings per month over the last 12 months — 6 in all, peaking in Sep 2026 with 4.

Appearances

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Alors for the couple it's very quite fragmentation because you have a fournisseur de LLM uh and besoin for the for the developers uh to have plenty of clés d'API partout, to create a compt on fact chew chez Anthropique, chez OpenAI, chez machin, etc.
And
And considerer le cont
The price is recuperated.
And so you make a card of payment at right to that where you have a point common.
And you return to consummation and factor which performances roll too long during the night because
There's the friction to the service on so it is utter.
But what they arrive to generate from argument later, I don't know if it's tenable in the time, honestly, on this model that is just a model of multiprise.
Sure.
Now, for revenue at our remarks of the day, it was a long time that I regard Open Router, not only in their statistics, because it's fascinating.
Sinon, de voir d'une semaine à l'autre, à quel point les modèles de la semaine dernière sont pas les modèles de cette semaine.
And the LLM is the clé de to, we found the LLM, it's LLM puissant, but when you know the price that it coûts to entraîne and the duration of view of the LLM derrière, and not only when we regard their evolution, I don't know if it's not plus ou more commodity, if you have really of this LLM long time in the time.
Parce que je serais très étonné.
That in the company of the amortissement of the entrainment of models corresponds to usage real.
It's a folly.
There are models that are three semen.
And by three semen, you can't use it
Je sais pas trop où ça va aller parce qu'il y a plein de.
Il y a enfin le marché est en train de se mettre en place et en même temps on a en effet les modèles en eux-mêmes, mais t'as une couche supérieure, donc c'est cette fameuse orchestration de multiples agents pour exercer une tâche qui, elle aussi, a vocation à distribuer sur des modèles potentiellement différents.
And the one fellow course, an anthropic, he finds an orchestration that evidently interrogates que their proper models on top of consuming plus the tokens.
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