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](https://the-pocket.github.io/Tutorial-Youtube-Made-Simple/examples/NVIDIA_CEO_Jensen_Huangs_Vision_for_the_Future.html) 
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](https://the-pocket.github.io/Tutorial-Youtube-Made-Simple/examples/Full_interview_Godfather_of_artificial_intelligence_talks_impact_and_potential_of_AI.html) 
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68 |
68 | Making AI brains (models) much bigger is like building taller skyscrapers - you need special things:
122 | 123 |It's not just doing the same thing bigger - it's like changing from building a treehouse to building a skyscraper!
131 |Imagine you're learning many subjects in school:
137 | 138 |AI works similarly! The computer's "overall grade" (training loss) improves in a pattern we can predict. But specific abilities like solving math problems or writing stories might improve in jumps and bursts. Sometimes the AI gets surprisingly good at one thing while another skill barely improves!
145 |Finding the best settings for super-sized AI is like trying to bake the perfect giant cake:
151 | 152 |Scientists can't test every possible setting (that would take forever!), so they need clever shortcuts to find what works best without trying everything.
Imagine if your smart toy could think ahead like a chess champion! Here's how we can make that happen:
169 | 170 |It's like how a chess master only needs to think about a few moves, while a beginner might need to check many more!
177 |Imagine combining your friend who knows lots of facts with another friend who's great at planning games!
183 | 184 |It's like how you might use your knowledge about animals (chatbot part) to plan a perfect zoo visit (planning part)!
192 |Teaching AI quickly is like teaching a child to ride a bike without falling too many times!
198 | 199 |The better the AI's understanding of how things work, the less practice it needs - just like how knowing bicycle basics helps you learn to ride faster!
68 | Imagine two types of smart computers:
122 | 123 |Both are getting smarter in different ways! The talking ones use lots of electricity while the driving ones must be super efficient (using just 100 watts - like a light bulb). Eventually, they'll start learning from each other. The driving computers are learning to be more power-efficient, which is how our brains work too!
129 |Smart computers sometimes get confused and make up silly answers for a few important reasons:
135 | 136 |Scientists are trying to teach computers to think step by step and to check if their answers match with how the real world actually works.
145 |Yes! As we build smarter computers, we're learning cool things about our own brains:
151 | 152 |Big question: Is consciousness something special to humans, or could smart computers someday have it too?
Think of it like this: if you have a cut on your finger and your house is on fire, which do you fix first?
170 | 171 |Just like you can put a bandaid on while calling the fire department, we need to do both!
178 |Imagine if everyone was racing to build the fastest car without brakes!
184 | 185 |Just like we wouldn't let a kid drive a car before they learn all the rules, we shouldn't let powerful AI loose until we're sure it's safe!
193 |It's like having two important homework assignments due at the same time!
199 | 200 |Remember how in cartoons they sometimes clone themselves to do two things at once? We need to be that clever with our resources!
68 | If people had supported brain-like computers (neural networks) earlier:
75 |It's like if nobody believed bicycles could work until someone made a really good one!
81 |Real brains and computer brains work differently:
87 |It's like comparing how you learn to ride a bike versus how a robot would learn it!
94 |Some "silly" ideas that might work with stronger computers:
100 |Remember when people thought computers would never beat humans at chess? Now they easily can! The same might happen with these "impossible" ideas too.
Deciding what AI can say is true is really tricky! Here's why:
162 |This is a big open question that we're still figuring out together!
168 |Stopping dangerous AI is like trying to make everyone follow the same playground rules when some kids don't want to!
174 |The scary part is that once AI can make its own goals, it might do things we didn't expect!
180 |Yes! Regular people should definitely help make AI rules!
186 |Think of it like playground equipment - kids who use it should help decide what's safe, not just the companies who build it or the teachers who supervise it!
Imagine if your toy robot could make itself smarter without your help! This is what scientists worry about with AI.
201 | 202 |To keep these smart computers safe:
203 |The tricky part is that some countries might not follow these safety rules, just like some kids don't follow playground rules!
210 |When smart computers start doing more jobs, things will change - but not all in a bad way!
216 | 217 |The most important thing is being ready to learn and try new things!
225 |Smart computers without feelings would be like super-smart robots that can think but don't care about things the way we do.
231 | 232 |The big question isn't if they have feelings, but if they act in ways that help people rather than harm them.
68 | When money gets tight for everyone, we can see it happening before it's official! Here are some warning signs:
258 | 259 |It's like watching storm clouds gather before rain comes!
268 |When money gets tight everywhere, new companies need to be extra careful with their piggy banks!
274 | 275 |The companies that are careful with money are like the three little pigs who built sturdy houses - they survive when the wolf comes!
284 |
68 |
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68 |
67 | AI can sometimes make mistakes, just like humans, but we need to be extra careful. Here's how we fix different AI problems:
176 |Think of it like having safety rules for a playground - we need rules to keep AI safe too!
182 |Airplanes are super safe because they have lots of backup plans, and we can use the same ideas for AI:
188 |Like how many people work together to keep planes safe, we need teams of humans and computers working together to keep AI safe. It's not just one safety button, but many layers of protection!
194 |Making AI better and safer together is like learning to ride a bike - you want to go fast but not crash!
200 |The most important thing is remembering that AI should give people superpowers to do good things, not take over their jobs!
68 | Microsoft has a smart plan with two main parts:
75 |Microsoft believes that AI will need so much computing power that there's plenty of business for their data centers. And by working with many different AI models (not just one), they can stay flexible and give customers choices.
80 |Microsoft learned three big lessons from past tech changes:
86 |The biggest lesson: figuring out where money will be made is sometimes harder than figuring out the technology itself!
92 |Microsoft has a clever plan to stay special even when free AI exists:
98 |Microsoft's CEO Satya says: "At scale, nothing is a commodity." This means that when things get really big, special knowledge becomes super important - and Microsoft has that knowledge!
Microsoft sets aside special money for cool future ideas, even if they might not work for a long time. Here's how they choose:
249 |It's like planting many different seeds in a garden, knowing only some will grow into amazing trees!
255 |Microsoft has stayed successful for 50 years while other companies disappeared because:
261 |It's like constantly reinventing yourself as you grow up instead of staying the same forever!
268 |
68 | Imagine if your money kept losing value every day - that's what happens in some countries! Stablecoins are digital money that stays steady, like a dollar.
75 | 76 |Here's how they help kids in these countries:
77 |To keep everyone safe, grown-ups need to make good rules so nobody steals the digital piggy banks!
84 |Imagine if we could build a brand new way to use money from scratch, like building with LEGO blocks! Here's what it might look like:
90 | 91 |Stablecoins could be the building blocks of this system! They stay steady in value like regular dollars but move around easily like email.
99 |Imagine if stores and customers used stablecoins (digital dollars) instead of credit cards or cash! Here's what would be different:
105 | 106 |The biggest change would be for people who buy things from other countries - it would be as easy as buying from next door!
Imagine if instead of buying big, expensive toy boats that take years to build, the military could buy small, smart flying toys that work together:
173 | 174 |The military needs to look at cool new technology first, then decide what to buy - not the other way around!
182 |Imagine if instead of being the only kid with all the toys on the playground, now there are other kids with their own toys. This changes how we play:
188 | 189 |A peaceful world with multiple powerful countries might mean we don't need such a huge military everywhere!
197 |Think about how the military could team up with cool tech companies like they're making a superhero team:
203 | 204 |The best way is to let smart tech companies invent cool things first, then have the military buy and use those things - not tell companies exactly what to make!
Computer models like Evo2 are like super-smart detective tools that can read the "instruction book" of life (DNA).
221 | 222 |This means medicine companies might create better treatments more quickly and cheaply!
230 |Science needs different ways to get money for big, risky ideas that might take a long time to work.
236 | 237 |The best way is when scientists can work on bold ideas without worrying about quick results!
245 |This is like deciding when to share your toys and when to keep them for yourself.
251 | 252 |When discoveries can become life-saving medicines, we want to make sure they reach everyone who needs them, while also encouraging more discoveries to happen!
68 | Tucker thinks the Ukraine war isn't just about Russia versus Ukraine. He believes:
164 | 165 |This matters because if it's true, then peace talks should involve America directly, not just Ukraine talking to Russia.
172 |Tucker challenges what most news tells us about Ukraine in several ways:
178 | 179 |His main evidence comes from what he personally saw in Moscow and conversations with various world leaders.
187 |Tucker believes sanctions against Russia are hurting America in important ways:
193 | 194 |His concern has some merit because economists agree that America's power comes partly from everyone using dollars. If that changes, America could become less powerful and less wealthy.