Google DeepMind launches AlphaGeometry, a breakthrough AI that solves complex math problems like a human genius! 🧮📐
Meanwhile, Sam Altman invests billions in a chip factory to power the future of AI — no more GPU shortages! 💰⚙️
Two major moves reshaping the AI landscape — math, machines, and massive money collide in this week’s AI Revolution! ⚡🔍
#AlphaGeometry #DeepMindAI #SamAltman #OpenAI #AIRevolution #ChipFactory #AIHardware #MathAI #FutureOfAI #GoogleAI #ArtificialIntelligence #TechNews #AIUpdate #MachineLearning #AIBreakthrough #AIChips #AIResearch #AlphaGoTeam #AIandMath #NextGenTech
Meanwhile, Sam Altman invests billions in a chip factory to power the future of AI — no more GPU shortages! 💰⚙️
Two major moves reshaping the AI landscape — math, machines, and massive money collide in this week’s AI Revolution! ⚡🔍
#AlphaGeometry #DeepMindAI #SamAltman #OpenAI #AIRevolution #ChipFactory #AIHardware #MathAI #FutureOfAI #GoogleAI #ArtificialIntelligence #TechNews #AIUpdate #MachineLearning #AIBreakthrough #AIChips #AIResearch #AlphaGoTeam #AIandMath #NextGenTech
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00:00Sam Altman, the CEO of OpenAI, is on a mission to raise a huge amount of money,
00:05aiming for billions of dollars. He's got a big plan, to start a company that makes
00:10semiconductors, which are essential for powering AI technologies. To make this happen,
00:15he wants to build a whole network of factories where these chips can be manufactured.
00:19This is no small task. It's going to need a lot of money and several years to set up.
00:23So recently, at the World Economic Forum in Davos, Switzerland, which took place from
00:28January 15th to 19, 2024, Sam Altman discussed this ambitious plan. Bloomberg has reported that
00:35Altman is currently in talks with various potential investors to gather the billions of dollars needed
00:40for this chip-making venture. Altman, who is 38 years old, is not just thinking small. He wants
00:46to establish a whole network of factories that can produce these semiconductors. Setting up just one
00:52state-of-the-art manufacturing facility for these chips is really expensive. We're talking tens of
00:57billions of dollars. And Altman doesn't want to stop at just one. He's planning to create several
01:02of these facilities, which is a project that will take a lot of time and even more money.
01:07Among the big names Altman has approached for funding is Sheikh Tanun Bin Zayed Al-Nahyan from the UAE,
01:14the Taiwan Semiconductor Manufacturing Co., TSMC, and SoftBank. Sheikh Tanun is not just any investor.
01:21He's the brother of the UAE president, Sheikh Mohammed Bin Zayed Al-Nahyan, and also works as
01:27the national security advisor. He's in charge of some of the UAE's most influential investment funds.
01:33According to the Financial Times, there's still a question about whether this new chip-making
01:37company will be a part of OpenAI or a completely separate entity. However, insiders say that OpenAI is
01:43expected to be the first customer of this new venture. Reuters reported last year that OpenAI was
01:49already thinking about making its own chips and was even considering buying a company that could
01:54help with this. While nothing was set in stone, the company was exploring different ways to deal
01:59with the shortage of AI chips. They were also looking at working with other chip makers, aside from
02:04their current supplier, NVIDIA. So why are these AI chips so important? Well, ever since OpenAI released
02:10ChatGPT over a year ago, there's been a huge surge in interest in AI from both regular people
02:16and businesses. This has led to a big increase in demand for the processors that run AI programs.
02:22That's where Sam Altman's big plan for a chip-making venture comes in.
02:25All right, now Google's DeepMind team has built a new AI system called Alpha Geometry that's really
02:32good at solving tough geometry problems. It's a big deal because it shows AI getting closer to
02:37thinking like humans, especially in tricky areas like math. Geometry has always been a tough nut to
02:42crack for AI. Unlike text-based AI, there's not much training data for math since it's all about symbols
02:48and specific domains. Thang Luong, who helped write the research, says that this is why math is a great
02:54way to see how smart AI is getting. Most AIs aren't great at logical reasoning, which you really need
03:00for math, but Alpha Geometry is different. It mixes a language model, which is good at spotting patterns
03:06and guessing next steps, with a symbolic engine, an AI that uses symbols and rules to figure things
03:11out. Language models are good at some parts of thinking, but not so much at the strict reasoning
03:16needed for math. The symbolic engine fills in this gap using strict rules and logic. These two parts,
03:22one for creative thinking and the other for logical reasoning, work together to tackle hard math
03:27problems. This is a lot like how we humans do geometry, using what we know and experimenting to find
03:33answers. DeepMind tested Alpha Geometry with geometry problems from the International Mathematical
03:40Olympiad, where the smartest high school students compete. It solved 25 out of 30 problems, which is
03:45way better than the previous best system, made by Chinese mathematician Wen Sun Wu in 1978, which only
03:52solved 10. Flores Van Dorn, a math professor not involved in the research, was really impressed.
03:58He thought this kind of progress was still years away. DeepMind believes Alpha Geometry
04:03shows how AI can reason and even discover new math knowledge. Kwok V. Lee, a DeepMind scientist,
04:10says this is another sign of how AI can help us understand the world better. When Alpha Geometry
04:15faces a geometry problem, it first tries to solve it using its symbolic engine. If that doesn't work,
04:21the language model steps in and adds something new, like a point or line. This gives the symbolic
04:26engine more to work with. This back and forth continues until they find a solution. To train the language
04:32model, the team had to create a lot of data themselves because there wasn't enough existing
04:37geometric data. They made nearly half a billion random geometric diagrams, and the symbolic engine
04:43analyzed each one to produce statements about their properties. They used these statements to make 100
04:48million synthetic proofs for training. Roman Jampolsky, a computer science professor not involved in the
04:54research, thinks Alpha Geometry skills are a big step toward more sophisticated, human-like problem-solving
05:00and machines. He says it could be useful in fields that need geometric problem-solving, like computer
05:06vision, architecture, and theoretical physics. But there's still room to grow. Alpha Geometry is good at
05:12elementary math, but not yet at the more abstract stuff taught at universities. Van Dorn thinks mathematicians
05:18would be really interested if AI could solve research-level math problems, maybe by having new mathematical
05:24insights. Luong says the plan is to apply this approach to more areas of math. Geometry is just
05:30the start, showing that AI is close to being able to do deep reasoning. Now, Google also just announced
05:36some cool new features for Android Auto, powered by AI, to make driving less distracting. This big news
05:42comes right when Samsung's launching their Galaxy S24 series, so Android Auto is Google's version of Apple CarPlay.
05:48It's all about making your phone's car-friendly stuff easy to use on your car's display. But if you've
05:54ever tried to reply to a text while driving, you know it's not always smooth sailing. Dealing with a
05:59bunch of messages or tricky voice assistants can be as distracting as actually looking at your phone.
06:04Google's got a plan to fix this with their new Android Auto updates. The idea is to use AI to give
06:10you quick summaries of long texts or busy group chats while you're driving. This way, you're not tempted
06:15to look at your phone. This smart tech will also suggest actions and replies, and do them for you,
06:21so you don't even need to touch your phone. Here's how it works. Say a friend texts you about lunch.
06:26Android Auto will pick out the important details like where you're eating and when. It can then send
06:31your friend your arrival time, or even call them. All you do is tap once to get directions to the
06:37restaurant, and you're set. This seems like a smart way to use AI. Being able to change your route or
06:42send an ETA with just a click means you can focus more on driving and less on your car's display.
06:48Plus, having fewer distracted drivers is definitely a good thing.
06:52Alright, that wraps up the video. I hope you found it as interesting as I did.
06:56If you did, smash that like button, and don't forget to subscribe to the channel for more AI content.
07:02Thanks for watching, and see you in the next one.
07:12One, two, three, two, one, two, three, one, two.
07:32One, two, one, two, one.