Nvidia Launches 'World's Most Powerful AI Chip'
Plus: Stability AI introduces SV3D, Sam Altman hints at GPT-5
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 234th edition of The AI Edge newsletter. This edition brings you Nvidia’s superchip and how SV3D turns a single photo into a 3D video.
And a huge shoutout to our amazing readers. We appreciate you😊
In today’s edition:
💻 Nvidia launches 'world's most powerful AI chip'
🎥 Stability AI's SV3D turns a single photo into a 3D video
🤖 OpenAI CEO hints at "Amazing Model", maybe ChatGPT-5
📚 Knowledge Nugget: Beyond Tasks: Reimagining Workflows in the Age of AI by
Let’s go!
Nvidia launches 'world's most powerful AI chip'
Nvidia has revealed its new Blackwell B200 GPU and GB200 "superchip", claiming it to be the world's most powerful chip for AI. Both B200 and GB200 are designed to offer powerful performance and significant efficiency gains.
Key takeaways:
The B200 offers up to 20 petaflops of FP4 horsepower, and Nvidia says it can reduce costs and energy consumption by up to 25 times over an H100.
The GB200 "superchip" can deliver 30X the performance for LLM inference workloads while also being more efficient.
Nvidia claims that just 2,000 Blackwell chips working together could train a GPT -4-like model comprising 1.8 trillion parameters in just 90 days.
Why does this matter?
A major leap in AI hardware, the Blackwell GPU boasts redefined performance and energy efficiency. This could lead to lower operating costs in the long run, making high-performance computing more accessible for AI research and development, all while promoting eco-friendly practices.
Stability AI's SV3D turns a single photo into a 3D video
Stability AI released Stable Video 3D (SV3D), a new generative AI tool for rendering 3D videos. SV3D can create multi-view 3D models from a single image, allowing users to see an object from any angle. This technology is expected to be valuable in the gaming sector for creating 3D assets and in e-commerce for generating 360-degree product views.
SV3D builds upon Stability AI's previous Stable Video Diffusion model. Unlike prior methods, SV3D can generate consistent views from any given angle. It also optimizes 3D meshes directly from the novel views it produces.
SV3D comes in two variants: SV3D_u generates orbital videos from single images, and SV3D_p creates 3D videos along specified camera paths.
Why does this matter?
SV3D represents a significant leap in generative AI for 3D content. Its ability to create 3D models and videos from a single image could open up possibilities in various fields, such as animation, virtual reality, and scientific modeling.
OpenAI CEO hints at "Amazing Model,” maybe ChatGPT-5
OpenAI CEO Sam Altman has announced that the company will release an "amazing model" in 2024, although the name has not been finalized. Altman also mentioned that OpenAI plans to release several other important projects before discussing GPT-5, one of which could be the Sora video model.
Altman declined to comment on the Q* project, which is rumored to be an AI breakthrough related to logic. He also expressed his opinion that GPT-4 Turbo and GPT-4 "kind of suck" and that the jump from GPT-4 to GPT-5 could be as significant as the improvement from GPT-3 to GPT-4.
Why does this matter?
This could mean that after Google Gemini and Claude-3’s latest version, a new model, possibly ChatGPT-5, could be released in 2024. Altman's candid remarks about the current state of AI models also offer valuable context for understanding the anticipated advancements and challenges in the field.
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Knowledge Nugget: Beyond Tasks: Reimagining Workflows in the Age of AI
In this insightful article,
explores how startups can break through the AI landscape dominated by incumbents. She suggests that startups should focus on reimagining entire workflows rather than optimizing individual tasks.She argues that AI agents with complementary skills will empower individuals to perform tasks previously beyond their scope, prompting a reconsideration of user personas and role evolution within organizations.
This "shift left" strategy can be applied to various domains, such as tech support and learning & development, where AI can enable generalists to own some specialist tasks and create more value for their customers.
Why does this matter?
Shubhi’s "roundtable" approach can make businesses more efficient and employees more productive. It can also lead to creating new, hybrid roles that leverage human and machine intelligence. As roles and responsibilities evolve, startups that can anticipate and adapt to these changes will be well-positioned to succeed in the AI-driven future.
What Else Is Happening❗
🤝 Apple is in talks to bring Google's AI to iPhones
Apple and Google are negotiating a deal to integrate Google's Gemini AI into iPhones, potentially shaking up the AI industry. The deal would expand on their existing search partnership. Apple also held discussions with OpenAI. If successful, the partnership could give Gemini a significant edge with billions of potential users. (Link)
🏷️ YouTube rolls out AI content labels
YouTube now requires creators to self-label AI-generated or synthetic content in videos. The platform may add labels itself for potentially misleading content. However, the tool relies on creators being honest, as YouTube is still working on AI detection tools. (Link)
🎮 Roblox speeds up 3D creation with AI tools
Roblox has introduced two AI-driven tools to streamline 3D content creation on its platform. Avatar Auto Setup automates the conversion of 3D body meshes into fully animated avatars, while Texture Generator allows creators to quickly alter the appearance of 3D objects using text prompts, enabling rapid prototyping and iteration.(Link)
🌐 Nvidia teams up with Shutterstock and Getty Images for AI-generated 3D content
Nvidia's Edify AI can now create 3D content, and partnerships with Shutterstock and Getty Images will make it accessible to all. Developers can soon experiment with these models, while industry giants are already using them to create stunning visuals and experiences. (Link)
🖌️ Adobe Substance 3D introduces AI-powered text-to-texture tools
Adobe has introduced two AI-driven features to its Substance 3D suite: "Text to Texture," which generates photo-realistic or stylized textures from text prompts, and "Generative Background," which creates background images for 3D scenes. Both tools use 2D imaging technology from Adobe's Firefly AI model to streamline 3D workflows. (Link)
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