Pratica di Shadowing: How does AI actually work? - Impara a parlare inglese con i video
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I'm confident that this may be the most important video you'll see in a while.
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Let's talk about how AI actually works because it will shape how you use it, how you think about it, and make informed decisions about it.
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I'm a Stanford -trained computer scientist for AI who's been building AI systems for over a decade.
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I'm teaming up with Anthropic, the team behind Claude, for a series, and today we're looking under the hood.
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AI agents are made up of two parts, the large language model, LLM, and the hardest this.
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In this video, we discussed the word generating LLMs, and today we'll discuss the agent harness.
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So we have the word generator, the core brain, i .e whatever version of sonnet, opus, fable you select when using Claude.
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And then we have the harness, which is all of the code that enables that word generator to take actions.
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So remember from the last video that everything the model knows about you is just added info into its prompt.
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The harness is what manages
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that memory your history your files your context it also gives the model access to external tools like gmail
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or canva and handles sub -agent orchestration
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which is delegating tasks to other agent instances sometimes in parallel
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and here's how the two pieces work together modern llms are trained to reason to think through steps
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and decide on how to act when the model wants to use a tool, it outputs a tool call, essentially structured text saying run this,
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and then the harness executes it.
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Then the output of the actions gets placed into the model's prompt behind the scenes, and the model then reflects on how the tool call went, and the loop continues.
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It thinks again on what to do, maybe calls a tool, and it goes on and on.
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Note that LLMs have a limit to their working memory called the context window.
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Your chat history, your prompt, files, all those tool outputs all go in to that context window
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and eventually it fills up and the harness detects this and intelligently performs context compression.
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So those are the two pieces of chatbot AI agents.
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LLMs are the brain generating text and the harness is like the body.
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It gives them the ability to actually take actions and make changes.
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I hope this is helpful.
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Please leave your questions in the comments and follow for more AI explainers.
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Informazioni su questa lezione
Cos'è la tecnica dello Shadowing?
Shadowing è una tecnica di apprendimento delle lingue supportata da studi scientifici, originariamente sviluppata per la formazione dei traduttori professionisti e resa popolare dal poliglotta Dr. Alexander Arguelles. Il metodo è semplice ma potente: ascolti un audio in inglese di madrelingua e lo ripeti immediatamente ad alta voce — come un'ombra che segue il parlante con un ritardo di solo 1–2 secondi. A differenza dell'ascolto passivo o degli esercizi di grammatica, lo shadowing costringe il tuo cervello e i muscoli della bocca a elaborare e riprodurre simultaneamente i modelli di discorso reale. La ricerca dimostra che migliora significativamente la precisione della pronuncia, l'intonazione, il ritmo, il discorso connesso, la comprensione dell'ascolto e la fluidità del parlato — rendendolo uno dei metodi più efficaci per la preparazione alla prova di speaking dell'IELTS e per la comunicazione reale in inglese.