- प्लैटफ़ॉर्म
- YouTube
- अवधि
- 4:47
- बोली जाने वाली भाषा
- अमेरिकी अंग्रेज़ी
- व्यूज़
- 40.7 लाख
- औसत कट
- 9.34s
- स्क्रीन पर चेहरा
- 69%
- गहरे फ़्रेम
- 0%
What happens when you talk to AI? की ट्रांसक्रिप्ट
फ़िल्म के अपने ऑडियो से एक स्पीच मॉडल द्वारा लिखा गया, ब्रांड द्वारा नहीं। उस पल पर जाने के लिए किसी भी पंक्ति पर क्लिक करें।
- 0:00When you send a message to an AI,
- 0:02there's a moment where it appears to be thinking,
- 0:04but what's actually happening?
- 0:06Is it reading the entire internet?
- 0:08Is it copying answers from a database?
- 0:10Is it just a fancier search engine?
- 0:13I'm Jane, and I work on user experience here at Anthropic,
- 0:16the company that makes Claude.
- 0:18Here's what's actually going on.
- 0:20AI models like Claude work by prediction.
- 0:23When you send a message, the model reads that message
- 0:26and draws on everything it learned during training
- 0:28to write back a response a little bit at a time.
- 0:31You'll see it appear word by word,
- 0:33and each one is chosen based on everything that came before it.
- 0:36Here's what surprises most people.
- 0:39The model writes one word at a time,
- 0:41but it doesn't think one word at a time.
- 0:44We'll come back to that in a moment.
- 0:46You've likely seen something like this before.
- 0:48When your phone's keyboard suggests Ben
- 0:50after you type, how have you, that's prediction too.
- 0:54The keyboard has learned which words tend to follow which.
- 0:56but there's a key distinction here.
- 0:58Your simple predictive keyboard
- 1:00is only looking at the last two or three words.
- 1:03It has no idea what you're trying to say
- 1:05or where the sentence is going.
- 1:07An AI model goes much further than this.
- 1:09It's been trained on an enormous amount of text
- 1:12and other kinds of information.
- 1:13This is known as training data.
- 1:15And when an AI model predicts,
- 1:17it isn't just looking at the last two or three words
- 1:20the way your keyboard does.
- 1:21What it's actually doing turns out to be much deeper
- 1:23and we'll see exactly how in a moment.
- 1:25Long before you ever talked to it, the model went through billions of rounds of the same exercise.
- 1:33See some text, guess the next word, see how close it got, adjust slightly, go again.
- 1:41Later, in a second stage called fine-tuning, the model's full answers are rated,
- 1:46sometimes by people, sometimes against a written set of guidelines,
- 1:50and the model is nudged toward answers that are more useful and less likely to mislead
- 1:55or cause harm.
- 1:57Both processes contribute to a model's
- 1:59generative capabilities.
- 2:01All of that takes place up to a certain date
- 2:04called the training cutoff,
- 2:06after which the model doesn't reliably know
- 2:08about facts or information without leaning on other tools
- 2:11such as internet search.
- 2:13While the model can search the internet
- 2:16to access information beyond the cutoff
- 2:18if the tool has search available,
- 2:20you can't assume the model has done a web search
- 2:22to craft its response.
- 2:24To be sure, you can ask it to, and when it does,
- 2:27it will typically share sources that you can review
- 2:30to confirm the output's accuracy.
- 2:32Now back to how the model thinks.
- 2:34Predict the next word sounds almost mechanical,
- 2:37like the model is just reacting one word,
- 2:39then the next, then the next.
- 2:40But to predict the next word well,
- 2:42you can't just look at the last few words.
- 2:44You have to work out where the sentence is going,
- 2:46what the paragraph is arguing,
- 2:48what a good answer would actually be.
- 2:49The model takes into account everything that came before,
- 2:52your uploaded documents, memory system prompt, your prompts, your conversation history,
- 2:56before outputting the next word or even syllable.
- 2:59And then that whole process repeats for the next one and so on until the response is done.
- 3:04So why should you care about any of this?
- 3:07Because when you understand that an AI model is a prediction system,
- 3:11you are able to work with it and interpret its outputs much better.
- 3:14The fact that it can write you something that's never existed before makes sense
- 3:18once you remember it's generating,
- 3:20not just pulling answers from somewhere.
- 3:22The fact that it sometimes states something false
- 3:25with total confidence, same reason.
- 3:27It's producing what a good answer would look like,
- 3:30and usually that lines up with reality.
- 3:33Occasionally it doesn't,
- 3:34which is why your judgment still matters.
- 3:37Knowing all that, a few habits
- 3:38that can get you better results.
- 3:40One, give it context to work with.
- 3:42Tell it who you are, what you're working on,
- 3:44and what a good result looks like.
- 3:46All of that becomes part of the pattern.
- 3:48Two, remember the cutoff.
- 3:50The model's knowledge stops at a certain date,
- 3:52so for anything recent like prices or the news,
- 3:55it could be out of date unless the tool tells you it searched the web.
- 3:58Three, ask for options.
- 4:00Because it's generating, not retrieving information,
- 4:03there's no single stored answer, so ask for a few versions of the draft
- 4:06or have it try again in a different tone.
- 4:08We encourage you to explore.
- 4:10Four, and above all, double-check the AI's outputs.
- 4:14A confident tone or a polished-looking result
- 4:16is just how the output comes out.
- 4:18It isn't proof that the output is accurate or done well.
- 4:21Consider the stakes of your question
- 4:23and double-check facts if wrong information would cause an issue.
- 4:26So that's the basic shape of how AI works.
- 4:29Every time you send a message,
- 4:30you're handing it the start of a pattern,
- 4:32and it completes that pattern
- 4:33based on everything it learned in training.
- 4:36Different models will likely complete that pattern in different ways,
- 4:39so it's worth experimenting to see what works for you.
- 4:42We'll keep sharing our research on this topic on Anthropik's blog.
112 पंक्तियाँ · 901 शब्द
More from Claude
All of Claude →The rest of their work we have taken apart.
3.5M viewsClaude
There’s hope in hard questions
1:3090 frames1.3s cut19% face
2.4M viewsClaude
What does AI actually know about you?
4:50156 frames6.1s cut83% face
1.6M viewsClaude
Claude now has its own built-in browser in Cowork. When your task in...
0:3011 frames0% face
Launch875K viewsClaude
Introducing Claude Design by Anthropic Labs
1:2240 frames3.3s cut0% face
403K viewsClaude
Getting started with Claude Cowork
4:16329 frames19.1s cut0% face
Cut at the same speed
Films whose median shot runs closest to 9.34s.
5K viewsThe Browser Company
Charlie uses Dia for decision making
1:0329 frames9.3s cut55% face
dennis müller
what if there was an app to create these videos in <5min?
0:4118 frames9.3s cut67% face
15 viewsTimestripe
Generate release notes from the commit history
0:3417 frames9.4s cut0% face
Launch1.2M viewsPerplexity
Introducing Voice Mode in Perplexity Computer. You can now just talk...
1:1833 frames9.5s cut9% face
7K viewsIcons8
Vector Creator. Create free personalized illustrations from 3000+ elements
1:0725 frames9.5s cut0% face
812 viewsOFFEO
OFFEO Tutorial | Playful and Vibrant Design
4:26148 frames9.6s cut1% face
108K viewsFigma
No more slots gone wild → Set minimum and maximum layers → Only allo...
0:4219 frames9.6s cut21% face
LaunchShopify
Shopify Editions - Brand Film by Imaginary Forces
1:3037 frames9.1s cut3% face
223K viewsNanoleaf
Nanoleaf Canvas: Create Your Own Masterpiece
0:5927 frames9.0s cut0% face
113K viewsFigma
Figma Motion: design AND animate in the same file Live from Config 2026
17:311197 frames9.0s cut93% face
Launch54K viewsVaishak Kumar
Introducing text-to-motion. It’s Cursor, but for IRL code. Comment "v...
0:2512 frames9.7s cut0% face
This Week in AI
Thanks for having me on, @jason!
73:43640 frames9.0s cut98% face
Lit and framed like this
Closest on how much of the running time has a face in it and how dark the frames are.
163K viewsPerplexity
1. Upload a photo. 2. Get turned into a Perplexity-style portrait. 3....
0:3010 frames70% face
26K viewsPetSmart
PetSmart Kitchen featuring GREENIES
1:0047 frames2.0s cut68% face
45K viewsLacoste
The Masterclass of Yoga featuring Novak Djokovic.
0:3025 frames1.5s cut72% face
Launch138M viewsBase44
Introducing Base44’s Big Game Ad Teaser “It’s App to You”
0:1515 frames1.5s cut67% face
Launch134K viewsKrea
announcing our $83M funding. s/o to our great investors @a16z @BainC...
0:103 frames67% face
58K viewsFigma
Config was a movie
0:093 frames67% face
29K viewsSketch Together
Open Peeps - A hand-drawn illustration library.
0:3430 frames0.9s cut67% face
4K viewstl;dv - meeting assistant
tl;dv - Get Insights Across Multiple Meetings in Seconds
1:2050 frames3.2s cut72% face
7K viewsGitHub
How to run parallel AI agents in the GitHub Copilot app | Tutorial for beginners
2:40123 frames6.3s cut69% face
Launch772K viewsSean Rich
This is an absolutely wild idea (and team!)
1:1027 frames12.9s cut70% face
2K viewsPinterest
Pinterest | Get Playful
0:3015 frames1.7s cut73% face
38K viewsheyclicky
i want to change
0:4936 frames1.9s cut67% face
More social
Same category, other makers, most watched first.
622M viewsBase44
Your ideas, your apps—Base44
0:5651 frames1.1s cut6% face
538M viewsBase44
Turn any idea into an app with Base44
0:5538 frames2.2s cut50% face
154M viewsBase44
Build Your Website with One Sentence | Base44
0:4835 frames0.9s cut31% face
81M viewsNike Football
Rip The Script | Nike Football
6:00310 frames1.1s cut60% face
75M viewsPetSmart
PetSmart | "Pickup in...STORE!"
0:1511 frames1.4s cut64% face
69M views1X
NEO The Home Robot Order Today
9:53271 frames2.8s cut25% face
69M viewsApple
Apple Education: Ready for every learning opportunity
1:4687 frames1.3s cut40% face
64M viewsBland
Phone calls suck. So, we bought a giant telephone car, raised $65,00...
1:4854 frames4.3s cut81% face
39M viewsFigma
Oh wait there’s more: we’re building 3D Transforms, here’s a preview ...
1:0423 frames4.0s cut78% face
36M viewshims
Getting Help is Simple, With Hims
0:3023 frames2.0s cut70% face
36M viewsFigma
Made in Figma (2025) Like this ❤️ we designed it for you
0:3872 frames0.5s cut7% face
35M viewsApple
Hello, MacBook Neo
3:50291 frames67.5s cut1% face