Risorse Artificiali AI Engineering in italiano
RisorseArtificialiRisorse Artificiali è il podcast italiano di AI Engineering. Ogni settimana, tre ingegneri con 20+ anni di codice alle spalle fanno deep dive tecnici su agent, LLM, tool chain e produzione: Claude Code, Codex, agenti e modelli open source, inference, spec-driven development, e tutto ciò che serve per portare l'AI dal demo al deploy. Niente hype, niente "l'AI cambierà tutto": solo analisi oneste, c... more
| Publishes | Twice weekly | Episodes | 88 | Founded | a year ago |
|---|---|---|---|---|---|
| Language |  Italian | Number of Listeners | Category | Technology |
Listen to this Podcast
Latest Episodes
Agenti AI che si migliorano da soli e il benchmark che Opus non supera mai: i lab hanno paura, noi abbiamo testato.
Dopo il tweet virale di Evan Hubinger sul 10% di sterminio e l'ultimo allarme di Dario Amodei, questa settimana guardiamo i tre trend... more
AI code review, formazione junior, voice AI on-device e video generato in locale: tre host rispondono alle vostre domande.
Puntata Q&A speciale di Risorse Artificiali: Stefano, Paolo e Alessio raccolgono le domande degli ascoltatori e ci rispondono ... more
GPT-6 Astra fa 99,9% su ARC-AGI-3 ma l'indice di intelligenza gli dà 61: il caso del benchmark maxato, spiegato da chi i benchmark li usa tutti i giorni.
OpenAI ha rilasciato GPT-6 Astra con numeri da record su tutta la linea: incrementi a doppia ci... more
GLM 5.3 Flash, ossia ox-alpha: il modello uscito in stealth che fa i numeri dei giganti con 6 miliardi di parametri attivi. E intanto la corsa all'AI in locale si fa seria.
In puntata: le pubblicità cinesi spurie comparse in ChatGPT, il Mac Studio M... more
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Reviews
- Ottimo
Podcast di approfondimento molto interessante ma sempre comprensibile. Bravi!
Apple Podcasts5Marco Mint IntroiniItaly6 months ago - Ottimo
Non capisco chi si lamenta che è troppo “da Nerd”, è esattamente lo scopo del podcast. Bravi così.
Apple Podcasts5GibbaoItaly9 months ago
Chart Rankings
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Apple Podcasts | #30 | Italy/Technology |
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| Listeners per Episode | Gender Skew | Location | |||
|---|---|---|---|---|---|
| Interests | Professions | Age Range | |||
| Household Income | Social Media Reach | ||||
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this podcast launched a year ago and published 88 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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