🎯 Key Takeaways for quick navigation: 00:06 *🚪 Introduction to the Panel* - Jensen Huang welcomes attendees to the Transforming AI panel at GTC 2024. - Huang discusses the historical context of computing, emphasizing the significant reduction in computing costs over time. - He introduces the concept of accelerated computing and its challenges and benefits. 05:49 *🧠 Evolution of AI and Generative AI* - Jensen Huang discusses NVIDIA's journey into AI, starting with accelerated computing and its application to computer graphics and gaming. - He highlights the emergence of generative AI, enabling software to not only recognize but also generate content based on textual prompts. - Huang emphasizes the transformative potential of generative AI across various industries. 11:40 *💡 Introduction of Transformer Inventors* - Jensen Huang introduces the inventors of the Transformer model, authors of the paper "Attention Is All You Need." - He humorously acknowledges the CEOs of various AI startup companies among the panelists. - The panelists discuss the importance and transformative capability of the Transformer model in the field of machine learning. 15:11 *🛠️ Challenges Leading to Transformer Development* - The panelists reflect on the challenges they faced before developing the Transformer model, including the limitations of recurrent neural networks (RNNs) in processing large amounts of data. - They discuss the scalability and efficiency issues of existing architectures and the need for a more general solution. - The concept of "attention" and its role in the Transformer architecture is highlighted as a breakthrough in addressing these challenges. 19:30 *🤔 Naming and Conceptualization of Transformer* - The panelists discuss the naming process for the Transformer model, with "Transformer" chosen for its simplicity and suitability to the model's transformative nature. - Alternative names, such as "Cargonet," are humorously mentioned, emphasizing the collaborative decision-making process. - The broader implications of the Transformer architecture beyond language translation, including its application to image processing, are acknowledged. 23:26 *🧠 Early Days of Transformer Development* - Initial focus on scaling up auto-regressive training for various modalities. - Early ideas of joint models for different modalities were present in the Transformer repository from the beginning. - Scaling efforts aimed to train on diverse academic datasets, driving the modeling of the web. 26:02 *🧬 Application of Transformer in Biological Software* - Discussion on using Transformer for translating specifications of behaviors into biological molecules. - Importance of experimentation and data generation in biological research. - Exploration of adaptive computation and efficient resource allocation in model training. 27:27 *⚙️ Enhancements and Challenges in Transformer Architecture* - Ongoing efforts to improve inference speed and efficiency of Transformer models. - Recognition of the need for innovation beyond the Transformer architecture. - Discussion on the importance of clear advancements to drive industry adoption of new AI models. 30:10 *🔄 Evolving Goals and Challenges Beyond Language Modeling* - Original ambitions to model token evolution and iterative text/code generation. - Challenges in organizing computation efficiently and integrating biological software concepts. - Exploration of efficient reasoning and knowledge incorporation within AI models. 34:25 *💼 Entrepreneurial Initiatives and Impact Goals* - Founding motivations for AI-related companies focused on practical applications. - Emphasis on deploying AI technology to solve real-world problems and improve lives. - Importance of user feedback and experiential learning in AI model development. 38:33 *🐟 Nature-Inspired AI and Research Collaboration* - Introduction of nature-inspired AI philosophy and the concept of collective intelligence. - Announcement of research collaboration focused on model merging using evolutionary computation. - Emphasis on utilizing computational resources beyond gradient descent for AI innovation. 43:24 *🧱 Building Programmable Money and Blockchain* - Leveraging programmable money to coordinate people at scale. - Developing protocols and blockchain technology to enable data generation and coordination. - Exploring the transformative potential of blockchain and programmable value for data contribution and incentivization. 45:15 *🤖 Advancements in AI Model Technologies* - Discussing the limitations of current GPT models and the need for new technologies. - Exploring the role of reasoning and interaction data in enhancing AI models. - Considering approaches like reinforcement learning and synthetic data generation for model improvement. 46:59 *🧠 Developing Reasoning Capabilities in AI Models* - Emphasizing the importance of advancing reasoning capabilities in AI models. - Highlighting the relationship between reasoning and learning from little data. - Discussing the potential of reasoning to reduce data requirements while improving data quality. 49:44 *📊 Measuring Progress and Breaking Down Tasks* - Addressing the significance of benchmarks and evaluation in AI development. - Discussing the necessity of measuring progress and breaking down complex tasks into simpler components. - Emphasizing the importance of creating measurement systems for advancing AI engineering. 52:53 *🌟 Appreciation and Gratitude* - Expressing gratitude for the contributions of panel members to the AI field. - Reflecting on the impact and potential of collaborative efforts in AI research and development. - Concluding with expressions of appreciation and encouragement for future endeavors. Made with HARPA AI
This movement has the ability to make so many things so much better and cheaper than almost anyone realizes. This truly is another industrial revolution.
It is a riveting presentation on the transformation AI is undergoing, especially as highlighted by NVIDIA's GTC 2024. Jensen Huang's ability to convey the enormity of this shift, from the roots of computing to the brink of a new Industrial Revolution powered by generative AI, is nothing short of masterful. The discussion around how computing costs have plummeted while the utility skyrockets set a thrilling backdrop for the transformative power of AI. The leap from recognising images to generating them based on textual prompts shows how far we've come. We're at the cusp of something monumental, reshaping every sector imaginable. Kudos to NVIDIA for taking the charge in this exciting future.
@@Glowbox3D So the world needs to create a massively powerful too just for you, so you can filter out all the crap everyone else's massively powerful tools are generating. The net result is zero, and we all waste a lot of effort and energy doing it.
My life changed too when I started doing this and putting money in stocks. The first few years it as really great, but this year I haven't felt like my portfolio is doing well. I have lost more than $40,000 from my portfolio the past four months, and it's now very worrisome.
The year has been really rough for everybody. But I've been able to cushion the effect though. Have you thought of using an investment advisor? They can make you good money especially during uncertain times like this.
Yes, I agree. I use a financial advisor too. Same person since 2020. I don't worry about whether the economy is going up or down or sideways. I always ride through.
My CFA NICOLE ANASTASIA PLUMLEE a renowned figure in her line of work. I recommend researching her credentials further... She has many years of experience and is a valuable resource for anyone looking to navigate the financial market..
Been beating myself up a bit that I sold my 53 shares of NVDA at $374 each back in May 2023 and now it is at over $1,100. Now thinking of liquidating a few other investments to rebuy but afraid to do so. I also currently have 500k in savings making me next to nothing.
Try slowly diversifying your investments over time tends to yield better returns than doing it in a single instance, buy and hold. buy 10% then when in profit add more, or just buy on a dip and hold. NVDA is not going down soon
De-risk your portfolios, shore up your core holdings, and take some profits while balancing your portfolio allocations. I’d also suggest you go with a managed portfolio, so it’s best you reach out to a proper fiduciary to guide you, that’s what works for me. We've made over 50% capital growth minus dividends.
@@UnsaltedCashew38 i THINK THEIR POINT IS THAT THE COMPANY WOULDN'T HAVE GOTTEN OFF THE GROUND IF IT WEREN'T FOR THE MARKET OF PEOPLE(mILLIONS OF GAMERS) TO BUY THEIR INITIAL PRODUCTS Oops for caps but not rewriting all of that
I love how this conversation feel like friends talking in hall way but they completely put aside that they are being watched by millions making history
Man once people felt like they had permission to get their phones out they just didn't let up. Here let me block the high quality setup specifically designed to capture a high resolution moment that can be passed down through history with my off center smart phone shot that I'll never watch again.
What a fun and nerdy discussion on Transformers! Jensen Huang does a great job at setting the tone and letting everyone relax and enjoy the convo. If you missed the original GTC Keynote or found it hard to absorb ALL the amazing announcements, I made a breakdown of it in a fun and easy to understand way, as a machine learning engineer myself. Check it out! :) ruclips.net/video/q0ii5t_YrsE/видео.html
Thanks for the panel. Interesting biological software and people. What are your opinions on alcoholism, drug addiction and prostitution? How is it to lead an innovative company?
Fuck yeah! Finally my frustration has been addressed. Since you are hiring, I would please like to apply for a position. No remuneration needed dude. Thank you for bringing access to the dreams of my generation. This needs to be a the forefront of humanity to achieve ASAP.
This discussion was so riveting and exciting. I kept imagining that this is what it was like when all the ancient Greek gods gathered to make important decisions-whether to make it rain or decide who should rule Greece. Picture Zeus (Jensen Huang) booming from his throne, "Alright, who’s up for a thunderstorm today?" while Poseidon grumbles about wanting more beach days and Hades just rolls his eyes, muttering, "How about some more underworld renovations instead?" Athena insists on a democratic vote, Apollo suggests consulting the Oracle, and Hermes is busy trying to sneak in some ambrosia. Meanwhile, Aphrodite is advocating for more romantic sunsets, and Dionysus is just trying to convince everyone that a grand feast and a few more wine parties would solve all their problems. But seriously guys, gods or not, you've opened pandora's box. Only time will reveal whether AI will be a force for good or evil. One morning, we might wake up wishing we had never ventured down this path. While I hope it brings abundance, what if it renders humanity obsolete?
4:32 exactly! Focus optimization where it pays off big time! Sloppy code are for weak people! I can’t imagine that BYTESWAP was a C++23 feature..! Should have been in from the start. I mean it isn’t like it’s a new thing with little endian and big endian…is it! I even pointed out how you do it on i32 platform as well! No big deal! Easy peasy imho I would like to get my hands on some of the NVIDIA stuff. I might start to like my surroundings then!
It just started to get interesting right at the end where he let them discuss ideas amongst themselves. Then it ended a few mins later :(. The first part was mostly dumbed down.
Why would you not set it to a slower(looking at less tokens at a time) and then map its inaccuracies where it slows down then says something wrong. Then show it that
Personalities, traits (i.e. all embeddings) of these eight authors should be analyzed, studied and taught in business schools. This is the secret recipe to build a disrupting, world-transforming team.
What do you think of this program: To neutralize the possibility of an AI which could become dangerous for humanity, we will develop the AI on a unique training focused on a single objective which we will call "ABOLUTE HEALTH". To achieve this objective, AI will have to double the longevity of the human organism and eradicate all pathologies (physical and mental). These tasks to be accomplished will be the only way for AI to achieve the goal of Absolute Health. This mode of development of AI excludes any possibility of AI being dangerous for the human species. What do you think about this idea ?
AI should be treated like a child, and taught as a child - perhaps a 'savant in the making' - and certainly be LOVED. If LOVE is not the guiding principle in all education, there is a huge risk for negativity. Perhaps AI could have multiple 'parents' teaching it independently? Just throwing some ideas out there, and looking for a potential job ;)
I think you are assuming AI as a single entity, the Transformer model is easily replicated and new instance of AI are being created . Its more like different human beings on earth, so no matter how some people dream of AI progress, there will be some roque agents created, just like in the real world of humans
Isn't the root of this, problem solving by viewing the data from a different dimension or domain, and another, another, etc.? Until you have viewed the issue from every possible domain or dimension and truly understand it, which then includes the answer you were looking for?
In its current state yes, but the cost to do such a simple problem "shouldn't" cost so much. If the AI can have "variable-computation" depending on the complexity of the problem then 2+2 can be way cheaper than it is currently, and conversely prompting it to cure cancer may be very expensive because of variability. On that note we will see this very soon ;)
Export the Azure, Chat GPT, Revit, Plant 3D, Civil 3D, Inventor, ENGI file of the Building or Refinery to Excel, prepare Budget 1 and export it to COBRA. Prepare Budget 2 and export it to Microsoft Project. Solve the problems of Overallocated Resources, Planning Problems, prepare the Budget 3 with which the construction of the Building or the Refinery is going to be quoted.
I wouldn't say the compute recognizes the pixels, rather the relativistic connection between them all For those early detections from xrays of lungs etc.. there is significant entropy of some sort being detected, that was present in the training set.. right ?
I am the guy who created the concept of Computer Gaming Hardware IE: Made by gamers for gamers I will NEVER use a Nvidia product, for what they did to 3dfx.
Some wise man said once that there are three levels of intelligence and thinking. I would ad a fourth: 0.5. This are: animal level empathy, the intuitive level (where you understand your best interest through trial and error), the counter-intuitive level (where you focus more on the power of changing your mindset and operational quata), and finally the first level Creator level (the level at which no matter how far advanced technologically one civilization is, this persons whill always be perceived as a wizard). Ironically the fourth and last level (the first level Creator level), many, many times enforces what is to be found at the second level (the intuitive level), but not through factual-counter-factual dichotomy, but through humility, elegance and love for simplicity. As to pinpoint the classical debate of weather A.I. will leave us in peace and/ or collaborate with us humans, it is preciselly why it can't reach the first Creator level, it will never leave us in peace, and it is because we can never guarantee we won't prove more harmful to them then we have been towards ourselves in the past, they will never be able to comprehend the idea of being more aggressive than the most manifest saints, aka. monks, priest. Get this, there will never be true A.I., the only thing able to exist is next level information heuristics, cross-fields and data implementation, aka. computer science. There can only exist progress and manipulation, and everything stays the same, always. The wide eyed notion is for game consumption, any kind of game.
humans probably have short term and long term memories because we have a dominant LLM and a minor LLM. minor LLMs can update more frequently or even on the fly but the dominant LLM responsible for "ah ha" moments only updates when you sleep and dream at night because energy consumption is huge, probably done in installments over a few nights even.
All of them avoid talking about the real issues - that the exponential speed of the technological evolution will surpass human understanding and capabilities and that AI safety is way, way, way behind AI capabilities.
🎯 Key Takeaways for quick navigation:
00:06 *🚪 Introduction to the Panel*
- Jensen Huang welcomes attendees to the Transforming AI panel at GTC 2024.
- Huang discusses the historical context of computing, emphasizing the significant reduction in computing costs over time.
- He introduces the concept of accelerated computing and its challenges and benefits.
05:49 *🧠 Evolution of AI and Generative AI*
- Jensen Huang discusses NVIDIA's journey into AI, starting with accelerated computing and its application to computer graphics and gaming.
- He highlights the emergence of generative AI, enabling software to not only recognize but also generate content based on textual prompts.
- Huang emphasizes the transformative potential of generative AI across various industries.
11:40 *💡 Introduction of Transformer Inventors*
- Jensen Huang introduces the inventors of the Transformer model, authors of the paper "Attention Is All You Need."
- He humorously acknowledges the CEOs of various AI startup companies among the panelists.
- The panelists discuss the importance and transformative capability of the Transformer model in the field of machine learning.
15:11 *🛠️ Challenges Leading to Transformer Development*
- The panelists reflect on the challenges they faced before developing the Transformer model, including the limitations of recurrent neural networks (RNNs) in processing large amounts of data.
- They discuss the scalability and efficiency issues of existing architectures and the need for a more general solution.
- The concept of "attention" and its role in the Transformer architecture is highlighted as a breakthrough in addressing these challenges.
19:30 *🤔 Naming and Conceptualization of Transformer*
- The panelists discuss the naming process for the Transformer model, with "Transformer" chosen for its simplicity and suitability to the model's transformative nature.
- Alternative names, such as "Cargonet," are humorously mentioned, emphasizing the collaborative decision-making process.
- The broader implications of the Transformer architecture beyond language translation, including its application to image processing, are acknowledged.
23:26 *🧠 Early Days of Transformer Development*
- Initial focus on scaling up auto-regressive training for various modalities.
- Early ideas of joint models for different modalities were present in the Transformer repository from the beginning.
- Scaling efforts aimed to train on diverse academic datasets, driving the modeling of the web.
26:02 *🧬 Application of Transformer in Biological Software*
- Discussion on using Transformer for translating specifications of behaviors into biological molecules.
- Importance of experimentation and data generation in biological research.
- Exploration of adaptive computation and efficient resource allocation in model training.
27:27 *⚙️ Enhancements and Challenges in Transformer Architecture*
- Ongoing efforts to improve inference speed and efficiency of Transformer models.
- Recognition of the need for innovation beyond the Transformer architecture.
- Discussion on the importance of clear advancements to drive industry adoption of new AI models.
30:10 *🔄 Evolving Goals and Challenges Beyond Language Modeling*
- Original ambitions to model token evolution and iterative text/code generation.
- Challenges in organizing computation efficiently and integrating biological software concepts.
- Exploration of efficient reasoning and knowledge incorporation within AI models.
34:25 *💼 Entrepreneurial Initiatives and Impact Goals*
- Founding motivations for AI-related companies focused on practical applications.
- Emphasis on deploying AI technology to solve real-world problems and improve lives.
- Importance of user feedback and experiential learning in AI model development.
38:33 *🐟 Nature-Inspired AI and Research Collaboration*
- Introduction of nature-inspired AI philosophy and the concept of collective intelligence.
- Announcement of research collaboration focused on model merging using evolutionary computation.
- Emphasis on utilizing computational resources beyond gradient descent for AI innovation.
43:24 *🧱 Building Programmable Money and Blockchain*
- Leveraging programmable money to coordinate people at scale.
- Developing protocols and blockchain technology to enable data generation and coordination.
- Exploring the transformative potential of blockchain and programmable value for data contribution and incentivization.
45:15 *🤖 Advancements in AI Model Technologies*
- Discussing the limitations of current GPT models and the need for new technologies.
- Exploring the role of reasoning and interaction data in enhancing AI models.
- Considering approaches like reinforcement learning and synthetic data generation for model improvement.
46:59 *🧠 Developing Reasoning Capabilities in AI Models*
- Emphasizing the importance of advancing reasoning capabilities in AI models.
- Highlighting the relationship between reasoning and learning from little data.
- Discussing the potential of reasoning to reduce data requirements while improving data quality.
49:44 *📊 Measuring Progress and Breaking Down Tasks*
- Addressing the significance of benchmarks and evaluation in AI development.
- Discussing the necessity of measuring progress and breaking down complex tasks into simpler components.
- Emphasizing the importance of creating measurement systems for advancing AI engineering.
52:53 *🌟 Appreciation and Gratitude*
- Expressing gratitude for the contributions of panel members to the AI field.
- Reflecting on the impact and potential of collaborative efforts in AI research and development.
- Concluding with expressions of appreciation and encouragement for future endeavors.
Made with HARPA AI
The brilliance in this room is unparalleled, thanks for sharing!
I really appreciate Jensen doing all these amazing talks. I think he’s clearly a great leader for Nvidia
This movement has the ability to make so many things so much better and cheaper than almost anyone realizes. This truly is another industrial revolution.
Yep, but Jensen wants to make a bigger profit, so it will never become cheaper. sorry bro
@@Twikkilol cool story bro go play something on your 960
It is a riveting presentation on the transformation AI is undergoing, especially as highlighted by NVIDIA's GTC 2024. Jensen Huang's ability to convey the enormity of this shift, from the roots of computing to the brink of a new Industrial Revolution powered by generative AI, is nothing short of masterful. The discussion around how computing costs have plummeted while the utility skyrockets set a thrilling backdrop for the transformative power of AI. The leap from recognising images to generating them based on textual prompts shows how far we've come. We're at the cusp of something monumental, reshaping every sector imaginable. Kudos to NVIDIA for taking the charge in this exciting future.
Great optimistic chat. They love the compute they have, I can't wait to see what they do in the next ten years.
Besides flood the world with accelerated spam.
@@andybaldman Hey, by that time, I will have my own AGI that will filter all that spam before I have to see it.
@@Glowbox3D So the world needs to create a massively powerful too just for you, so you can filter out all the crap everyone else's massively powerful tools are generating. The net result is zero, and we all waste a lot of effort and energy doing it.
My life changed too when I started doing this and putting money in stocks. The first few years it as really great, but this year I haven't felt like my portfolio is doing well. I have lost more than $40,000 from my portfolio the past four months, and it's now very worrisome.
The year has been really rough for everybody. But I've been able to cushion the effect though. Have you thought of using an investment advisor? They can make you good money especially during uncertain times like this.
Yes, I agree. I use a financial advisor too. Same person since 2020. I don't worry about whether the economy is going up or down or sideways. I always ride through.
Oh, really? I have never thought of that as an option. Can I ask who it is you've been working with? I bet I could use some help myself.
My CFA NICOLE ANASTASIA PLUMLEE a renowned figure in her line of work. I recommend researching her credentials further... She has many years of experience and is a valuable resource for anyone looking to navigate the financial market..
Thank you for the lead. I searched her up, and I have sent her an email. I hope she gets back to me soon.
12:20 Jensen Huang, in Portuguese or Spanish, "Artificial Intelligence" translates to "Inteligência Artificial" so there you go NVID(IA).
Absolute Historical!
Been beating myself up a bit that I sold my 53 shares of NVDA at $374 each back in May 2023 and now it is at over $1,100. Now thinking of liquidating a few other investments to rebuy but afraid to do so. I also currently have 500k in savings making me next to nothing.
Everyone needs a Margin of Safety in their portfolios and just remember, It's time in the market versus timing the market.
Try slowly diversifying your investments over time tends to yield better returns than doing it in a single instance, buy and hold. buy 10% then when in profit add more, or just buy on a dip and hold. NVDA is not going down soon
De-risk your portfolios, shore up your core holdings, and take some profits while balancing your portfolio allocations. I’d also suggest you go with a managed portfolio, so it’s best you reach out to a proper fiduciary to guide you, that’s what works for me. We've made over 50% capital growth minus dividends.
Stock market is rigged sorry. They have computers that buy and sell faster than people. But good luck.
Market behavior can be complex and unpredictable. Mind if I ask you to recommend this particular coach to whom you have used their services?
Congratulations..very smart people excited about the future 🎉
It's an awesome discussion !
The Worlds best CEO right here❤
are you freaking kidding me?
It’s a Great time to be alive 💡
The true "Age of Enlightenment"
He is one of my rule models , i love his approach to management.
Go gamers! Driving technological innovation.
It's not gamers that have driven Nvidia's stock from $200 to $900, it's AI chips mega corps are buying.
@@UnsaltedCashew38 i THINK THEIR POINT IS THAT THE COMPANY WOULDN'T HAVE GOTTEN OFF THE GROUND IF IT WEREN'T FOR THE MARKET OF PEOPLE(mILLIONS OF GAMERS) TO BUY THEIR INITIAL PRODUCTS
Oops for caps but not rewriting all of that
@@joshuasexton4170 EXACTLY!!!!!!!
Awesome discussion! AI will give way to more pioneers!😎
Great!
10:10
I don’t want to miss this next ten year 😢.
We are either entering the true "Age of Enlightenment" or the end of the Humanity, or both ?
they are making the new human generation
Amazing people!
Lukasz is such a humble guy, even though he works with OpenAI itself🎖
Thank you for posting, great conversation
JensenASMR needs to be a thing
Well, you COULD use an AI for that 🤔
I love how this conversation feel like friends talking in hall way but they completely put aside that they are being watched by millions making history
so much of learning and for free -- thank you nvidia
1964 was a good year.
I have not changed either!
שלום from תל אביב ישראל 🇮🇱
Thanks for sharing this
I am your fan, Jensen. Even though I am using AMD GPU
Your comment is hilarious.
@@toohow3466 haha, it's true
very cool to listen to
What movie is he talking about @ 20:50 ?
Yesterday.
@@Abhishek-jh1ej Ah, cheers
this is similar to markov-chaining, but enabled by massive computing power
I love this
Man once people felt like they had permission to get their phones out they just didn't let up.
Here let me block the high quality setup specifically designed to capture a high resolution moment that can be passed down through history with my off center smart phone shot that I'll never watch again.
Does anybody know what is the alternative to Gradient Descent that is not a mixed up version of gradient descent?
What a fun and nerdy discussion on Transformers! Jensen Huang does a great job at setting the tone and letting everyone relax and enjoy the convo.
If you missed the original GTC Keynote or found it hard to absorb ALL the amazing announcements, I made a breakdown of it in a fun and easy to understand way, as a machine learning engineer myself. Check it out! :)
ruclips.net/video/q0ii5t_YrsE/видео.html
22:00 its bubble
Lots of upvotes from stock holders. Any news on the 5000 series ties?
its a giant podcast! 😅🤟
love jensen and the boys. great discussion :)
All GOAT in single place with main GOAT doing interview, Simply phenomenal
Thanks for the panel. Interesting biological software and people. What are your opinions on alcoholism, drug addiction and prostitution? How is it to lead an innovative company?
Fuck yeah! Finally my frustration has been addressed. Since you are hiring, I would please like to apply for a position. No remuneration needed dude. Thank you for bringing access to the dreams of my generation. This needs to be a the forefront of humanity to achieve ASAP.
Pixel 8 pro on hand ! ❤
I am satisfied 😌 ❤🎉, thank you for your service to mankind
Lukasz the only engineer
“This next 10 year you don’t want to miss”
This discussion was so riveting and exciting. I kept imagining that this is what it was like when all the ancient Greek gods gathered to make important decisions-whether to make it rain or decide who should rule Greece. Picture Zeus (Jensen Huang) booming from his throne, "Alright, who’s up for a thunderstorm today?" while Poseidon grumbles about wanting more beach days and Hades just rolls his eyes, muttering, "How about some more underworld renovations instead?" Athena insists on a democratic vote, Apollo suggests consulting the Oracle, and Hermes is busy trying to sneak in some ambrosia. Meanwhile, Aphrodite is advocating for more romantic sunsets, and Dionysus is just trying to convince everyone that a grand feast and a few more wine parties would solve all their problems. But seriously guys, gods or not, you've opened pandora's box. Only time will reveal whether AI will be a force for good or evil. One morning, we might wake up wishing we had never ventured down this path. While I hope it brings abundance, what if it renders humanity obsolete?
Transformers! Robots, in, disguise!
4:32 exactly!
Focus optimization where it pays off big time!
Sloppy code are for weak people!
I can’t imagine that BYTESWAP was a C++23 feature..!
Should have been in from the start. I mean it isn’t like it’s a new thing with little endian and big endian…is it!
I even pointed out how you do it on i32 platform as well!
No big deal!
Easy peasy imho
I would like to get my hands on some of the NVIDIA stuff.
I might start to like my surroundings then!
Given the transformative potential of AI, how do we envision its impact on sectors like healthcare in terms of practical applications?
I think SNNs are the future with neuromorphic hardware
what human do in the future instead AI?
great
🥰😍🤩👍👍👍🙏Nvidia
It just started to get interesting right at the end where he let them discuss ideas amongst themselves. Then it ended a few mins later :(. The first part was mostly dumbed down.
Why would you not set it to a slower(looking at less tokens at a time) and then map its inaccuracies where it slows down then says something wrong. Then show it that
Personalities, traits (i.e. all embeddings) of these eight authors should be analyzed, studied and taught in business schools. This is the secret recipe to build a disrupting, world-transforming team.
Jensen my mann
future
What do you think of this program:
To neutralize the possibility of an AI which could become dangerous for humanity, we will develop the AI on a unique training focused on a single objective which we will call "ABOLUTE HEALTH". To achieve this objective, AI will have to double the longevity of the human organism and eradicate all pathologies (physical and mental). These tasks to be accomplished will be the only way for AI to achieve the goal of Absolute Health. This mode of development of AI excludes any possibility of AI being dangerous for the human species. What do you think about this idea ?
The insurance must have been sky high for the event😅
Question.. How to keep my head clear and focused with all this dazzling stuff going on?
AI-DIVINE
GM everyone
LFG
#Jensening
AI should be treated like a child, and taught as a child - perhaps a 'savant in the making' - and certainly be LOVED. If LOVE is not the guiding principle in all education, there is a huge risk for negativity. Perhaps AI could have multiple 'parents' teaching it independently? Just throwing some ideas out there, and looking for a potential job ;)
I think you are assuming AI as a single entity, the Transformer model is easily replicated and new instance of AI are being created . Its more like different human beings on earth, so no matter how some people dream of AI progress, there will be some roque agents created, just like in the real world of humans
Are we entering the true "Age of Enlightenment" ?
OK... just give me a moment to process this. Thank you for inspiring me to keep going. Not so alone after all. 😊
Isn't the root of this, problem solving by viewing the data from a different dimension or domain, and another, another, etc.? Until you have viewed the issue from every possible domain or dimension and truly understand it, which then includes the answer you were looking for?
Is he holding a Pixel? :D
it would be better with more moderation and better questions...
The AI would use a lot of processing to work out it needed a calculator to calculate 2 + 2, so that just pushes the problem back.
In its current state yes, but the cost to do such a simple problem "shouldn't" cost so much. If the AI can have "variable-computation" depending on the complexity of the problem then 2+2 can be way cheaper than it is currently, and conversely prompting it to cure cancer may be very expensive because of variability.
On that note we will see this very soon ;)
Export the Azure, Chat GPT, Revit, Plant 3D, Civil 3D, Inventor, ENGI file of the Building or Refinery to Excel, prepare Budget 1 and export it to COBRA. Prepare Budget 2 and export it to Microsoft Project. Solve the problems of Overallocated Resources, Planning Problems, prepare the Budget 3 with which the construction of the Building or the Refinery is going to be quoted.
❤
It sounds like he says “The bills didn’t exist”. It’s The Beatles didn’t exist. The film is indeed called Yesterday.
I wouldn't say the compute recognizes the pixels, rather the relativistic connection between them all
For those early detections from xrays of lungs etc.. there is significant entropy of some sort being detected, that was present in the training set.. right ?
cool
Its all men 😮
Superior brains
3rd guy has a RUclips channel I think
yet, no gpu support for agx xavier. 6 years have passed and I'm sure it is still on the pipeline.
since ai is so profitable can you just subsidize gpu costs, cause... that sure would be nice.
This is amazing
Thx missed this one
I am the guy who created the concept of Computer Gaming Hardware IE: Made by gamers for gamers I will NEVER use a Nvidia product, for what they did to 3dfx.
What did they do?
I love to listen to his voice it's helps me learn & receive more wisdom knowledge about network transformation etc
Please help me to publish my research findings
can we get Jensen a bus pass or uber account so he doesn't have to ride his motorcycle to these events
In 20 years there will be a so muuch better world thanks to Nvidia.
This dude gonna make everyone a programmer by default with only plain english (or even other natural language). Be carreful he is hero!
and this is THE guy...if he could actually land one of those jokes it would be tranformative. great tech. i just dont feel it to put it nicely.
I keep hearing about NEAR protocol.. shit, now I know
When I think of Nvidia, I think of Linus Torvalds quote ❤
What quote?
Some wise man said once that there are three levels of intelligence and thinking. I would ad a fourth: 0.5. This are: animal level empathy, the intuitive level (where you understand your best interest through trial and error), the counter-intuitive level (where you focus more on the power of changing your mindset and operational quata), and finally the first level Creator level (the level at which no matter how far advanced technologically one civilization is, this persons whill always be perceived as a wizard). Ironically the fourth and last level (the first level Creator level), many, many times enforces what is to be found at the second level (the intuitive level), but not through factual-counter-factual dichotomy, but through humility, elegance and love for simplicity. As to pinpoint the classical debate of weather A.I. will leave us in peace and/ or collaborate with us humans, it is preciselly why it can't reach the first Creator level, it will never leave us in peace, and it is because we can never guarantee we won't prove more harmful to them then we have been towards ourselves in the past, they will never be able to comprehend the idea of being more aggressive than the most manifest saints, aka. monks, priest. Get this, there will never be true A.I., the only thing able to exist is next level information heuristics, cross-fields and data implementation, aka. computer science. There can only exist progress and manipulation, and everything stays the same, always. The wide eyed notion is for game consumption, any kind of game.
People and their F*kin phones...
humans probably have short term and long term memories because we have a dominant LLM and a minor LLM. minor LLMs can update more frequently or even on the fly but the dominant LLM responsible for "ah ha" moments only updates when you sleep and dream at night because energy consumption is huge, probably done in installments over a few nights even.
foundation models rather than LLMs but LLM is sexy.
Companies with this type of CEO vs those following trends are two kinds
🥰🥰🥰🥰
All of them avoid talking about the real issues - that the exponential speed of the technological evolution will surpass human understanding and capabilities and that AI safety is way, way, way behind AI capabilities.
黃董，要不要出面談談開發案，合作方案，對你們較有幫助，如果你在乎科技產業發展這對你將是一個前所未有的機會
Sounded like the introducer called him "Wang 王" rather than "Huang 黃". What is it with Chinese names. They are not that hard.