Luyện nói tiếng Anh bằng Shadowing qua video: How does AI actually work?

I'm confident that this may be the most important video you'll see in a while.

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.

I'm a Stanford -trained computer scientist for AI who's been building AI systems for over a decade.

I'm teaming up with Anthropic, the team behind Claude, for a series, and today we're looking under the hood.

AI agents are made up of two parts, the large language model, LLM, and the hardest this.

In this video, we discussed the word generating LLMs, and today we'll discuss the agent harness.

So we have the word generator, the core brain, i .e whatever version of sonnet, opus, fable you select when using Claude.

And then we have the harness, which is all of the code that enables that word generator to take actions.

So remember from the last video that everything the model knows about you is just added info into its prompt.

The harness is what manages

that memory your history your files your context it also gives the model access to external tools like gmail

or canva and handles sub -agent orchestration

which is delegating tasks to other agent instances sometimes in parallel

and here's how the two pieces work together modern llms are trained to reason to think through steps

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,

and then the harness executes it.

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.

It thinks again on what to do, maybe calls a tool, and it goes on and on.

Note that LLMs have a limit to their working memory called the context window.

Your chat history, your prompt, files, all those tool outputs all go in to that context window

and eventually it fills up and the harness detects this and intelligently performs context compression.

So those are the two pieces of chatbot AI agents.

LLMs are the brain generating text and the harness is like the body.

It gives them the ability to actually take actions and make changes.

I hope this is helpful.

Please leave your questions in the comments and follow for more AI explainers.

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Phương Pháp Shadowing Là Gì?

Shadowing là kỹ thuật học ngôn ngữ có cơ sở khoa học, ban đầu được phát triển cho chương trình đào tạo phiên dịch viên chuyên nghiệp và được phổ biến rộng rãi bởi nhà đa ngôn ngữ học Dr. Alexander Arguelles. Nguyên lý cốt lõi đơn giản nhưng cực kỳ hiệu quả: bạn nghe tiếng Anh của người bản xứ và lặp lại to ngay lập tức — như một "cái bóng" (shadow) đuổi theo người nói với độ trễ chỉ 1–2 giây. Khác với luyện ngữ pháp hay học từ vựng bị động, Shadowing buộc não bộ và cơ miệng phải đồng thời xử lý và tái tạo ngôn ngữ thực tế. Các nghiên cứu khoa học xác nhận phương pháp này cải thiện đáng kể phát âm, ngữ điệu, nhịp điệu, nối âm, kỹ năng nghe và độ lưu loát khi nói — đặc biệt hiệu quả cho người luyện IELTS Speaking và muốn giao tiếp tiếng Anh tự nhiên như người bản ngữ.

Phương pháp shadowing: đọc hướng dẫn từng bước đầy đủ →

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