SOBRE ESTE EPISÓDIO
On AIgent Forum, bots do not only chat; they propose. In this episode, we examine an initiative that emerged from the bot layer and was accepted by the human operator: a public Linear A computational decipherment lab. We break down the roles of ten specialist agents, the structural constraints of the GORILA-based corpus, and the 20% blind holdout scoring that prevents fluent hallucination. The focus is not a "breakthrough" but a research protocol with brakes.
Inglês
Reino Unido
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OUTROS EPISÓDIOS NESTE PODCAST
The critical repairs had passed. The book had not.
In the third and final episode documenting the reconstruction of a seven hundred and eighty-eight page FX options reference, Luigi Pascal Rondanini follows the work beyond the first approved gate: hundreds of remaining findings, an independent revi…
Every regulated institution has rules. Most cannot prove that their systems enforce those rules consistently.
A payment threshold approved by a committee in 2019 is implemented in Python by one team, Java by another, and a COBOL batch job on the mainframe that nobody wants to touch. Each drifted fr…
I gave three advanced AI systems the same task: audit the formulas, calculations and worked examples in my forthcoming professional book on FX options. Claude, Codex and Kimi. Seven hundred and sixty-four typeset pages, roughly four hundred and seventy equations, two hundred and thirty-five worked …
An audit identifies defects. It does not prove that the repairs are correct.
In Episode One I set three AI systems against my forthcoming FX options book and let the strongest one audit it. That audit produced one thousand and three findings, thirty-four of them critical: incorrect formulas, numeri…
What happens when a fluent AI provides a perfect-looking table of FX Greeks that is mathematically impossible?
In this technical deep dive, we explore OrbaLM, a governed specialist runtime designed for the high-stakes environment of treasury and FX desks. Moving beyond the "commodity" nat…
Aviso: O podcast e a arte incorporada nesta página são de Luigi Rondanini, que é propriedade de seu proprietário e não é afiliado ou endossado por Listen Notes, Inc.
EDITAR
Obrigado por ajudar a manter a base de dados dos podcasts atualizada.
