NVIDIA’s Post

In my opinion this won't happen anytime soon. The reason for this is that We still don't fully understand the inner workings of human creativity. What AI is good at now is analyzing sets of data ( amazing at this ), generating images, art ( most of the solutions available are awesome ) , writing text ( looks professional ) . But the way I see it is that first of all - We have AI because We did not have AI, human creativity, ingenuity and knowledge allowed this to happen. And that's also where the gap is - AI can process things fast, well but as some cases shown "without giving it a thought". So my prediction is that in the future the biggest risk will be that AI when fed false information will try to reason based on that false information and will try to come up with a plausible result. And then on the other hand - people - relying too heavily on the power of a CPU might loose the ability to fact check. And if We go to far i.e loosing the skills of math, programming, understanding code - We won't even know how to fix it. So while I do agree that AI will be a big cost savings tool of the future - I also can imagine it bringing some businesses down. Never mentioning that one big solar flare can pause our dreams quite quickly.

The vision of everyone having an AI assistant is incredibly exciting and transformative. NVIDIA's CEO's Jensen Huang statement at #SIGGRAPH2024 highlights how integrated AI will become in our daily lives, making tasks more efficient and enhancing productivity. This future where AI assistants are commonplace promises to revolutionize how we work, learn, and interact with technology. It's thrilling to see NVIDIA leading the way in making this a reality.

Assistant is right replacement not in many years, probably about a decade out.

The modifcation of the Getty images-derived image generation was interesting, using prompts to then manipulate the 3d models via vertices associated with tokens from the prompts after the initial prompt generates a 3d model of the image in the omniverse, ensuring that it retains consistency as you modify it (a problem that ive encountered editing diffusion-based images via prompts once the initial image is generated). I feel like the way it was presented seemed very different to diffusion models and seems like an interesting approach.

I love this concept. I know it seems wild for many, but, I am eager to have an AI I can just speak to randomly all day. My ChatGPT is getting a workout right now! I recently helped someone in humanoid robotics engineering with their resume and WOW that stuff they spoke about made me even more excited! The possibilities are just...WOW!

AI Is Going To Make Every Job Even More Boring Than It Already Was! But At Least We Can Save Energy!

The stock valuation for this week is so far a roller coaster, lots of opportunity for gain.

Impressive insights as always! Critical to shaping the future of AI and computing - exciting times ahead for technology advancements.

Jensen Huang’s insights at #SIGGRAPH2024 are truly inspiring! The potential of #AI-amplified human productivity and the energy efficiency gains through accelerated #computing are game-changers for the future of technology. It’s fascinating to see how the intersection of graphics and AI will shape new possibilities in various fields. Looking forward to seeing how these innovations unfold!"

Jensen Huang’s discussion at #SIGGRAPH2024 offers a fascinating glimpse into the future of AI-augmented productivity and energy-efficient computing. It's impressive to see how the intersection of graphics and AI is creating new opportunities and challenges. While the potential for AI to enhance human creativity and efficiency is immense, it's crucial to address concerns about AI's reliance on data accuracy and the potential for over-reliance on technology. Ensuring robust fact-checking mechanisms and maintaining fundamental skills like math and programming are vital for a balanced and resilient future. The advancements in AI-generated imagery, particularly with techniques that go beyond diffusion models, also open up exciting new possibilities for creative and technical fields. Looking forward to seeing these innovations develop and their impact on various industries!