NVIDIA's Latte 3D Generates Text-to-3D in Seconds!
Plus, Quiet-STaR: LMs can self-train to think before responding, and Neuralink's first brain chip patient plays chess with his mind.
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 237th edition of The AI Edge newsletter. This edition features NVIDIA’s Latte 3D generates text-to-3D in Seconds!
And a huge shoutout to our amazing readers. We appreciate you😊
In today’s edition:
🤖 Nvidia’s Latte 3D generates text-to-3D in seconds!
💡Quiet-STaR: LMs can self-train to think before responding
🤯Neuralink's first brain chip patient plays chess with his mind
📚 Knowledge Nugget: AI OSes: bad news for ads? by
Let’s go!
Nvidia’s Latte 3D generates text-to-3D in seconds!
NVIDIA introduces Latte3D, facilitating the conversion of text prompts into detailed 3D models in less than a second. Developed by NVIDIA’s Toronto lab, Latte3D sets a new standard in generative AI models with its remarkable blend of speed and precision.
LATTE3D has two stages: first, NVIDIA’s team uses volumetric rendering to train the texture and geometry robustly, and second, it uses surface-based rendering to train only the texture for quality enhancement. Both stages use amortized optimization over prompts to maintain fast generation.
What sets Latte3D apart is its extensive pretraining phase, enabling the model to quickly adapt to new tasks by drawing on a vast repository of learned patterns and structures. This efficiency is achieved through a rigorous training regime that includes a blend of 3D datasets and prompts from ChatGPT.
Why does it matter?
AI models such as NVIDIA's Latte3D have significantly reduced the time required to generate 3D visualizations from an hour to a few minutes compared to a few years ago. This technology has the potential to significantly accelerate the design and development process in various fields, such as the video game industry, advertising, and more.
Quiet-STaR: LMs can self-train to think before responding
A groundbreaking study demonstrates the successful training of large language models (LM) to reason from text rather than specific reasoning tasks. The research introduces a novel training approach, Quiet STaR, which utilizes a parallel sampling algorithm to generate rationales from all token positions in a given string.
This technique integrates meta tokens to indicate when the LM should generate a rationale and when it should make a prediction based on the rationale, revolutionizing the understanding of LM behavior. Notably, the study shows that thinking enables the LM to predict difficult tokens more effectively, leading to improvements with longer thoughts.
The research introduces powerful advancements, such as a non-myopic loss approach, the application of a mixing head for retrospective determination, and the integration of meta tokens, underpinning a comprehensive leap forward in language model training.
Why does it matter?
These significant developments in language modeling advance the field and have the potential to revolutionize a wide range of applications. This points towards a future where large language models will unprecedentedly contribute to complex reasoning tasks.
Neuralink's first brain chip patient plays chess with his mind
Elon Musk's brain chip startup, Neuralink, showcased its first brain chip patient playing chess using only his mind. The patient, Noland Arbaugh, was paralyzed below the shoulder after a diving accident.
Neuralink's brain implant technology allows people with paralysis to control external devices using their thoughts. With further advancements, Neuralink's technology has the potential to revolutionize the lives of people with paralysis, providing them with newfound independence and the ability to interact with the world in previously unimaginable ways.
Why does it matter?
Neuralink's brain chip holds significant importance in AI and human cognition. It has the potential to enhance communication, assist paralyzed individuals, merge human intelligence with AI, and address the risks associated with AI development. However, ethical considerations and potential misuse of this technology must also be carefully examined.
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Knowledge Nugget: AI OSes: bad news for ads?
In this article,
discusses the potential impact of AI Operating Systems (OSes) on ad-based platforms. AI significantly threatens these platforms by reducing consumers' exposure to ads.The article also highlights how AIOSes will change with AI in the following aspects,
- AI OSes will become more prevalent as they allow AI greater control over hardware and software, making personal computing more efficient.
- AI OSes will look different from existing OSes, and understanding the threat to ads requires considering them.
- AI OSes can impact ads by working with other apps on the system. Strong AI OSes can interfere with ads that rely on other apps, potentially disrupting their effectiveness.
-The idea of AI OSes offers a broader perspective on how AI will alter human-computer interaction beyond individual devices.
The article also highlights the use of AI with many permissions and a high future interoperability level.
Why does it matter?
The lack of transparency in AI-generated ads raises concerns about ethical advertising practices and consumer protection. At the same time, AI-generated ad content has the potential to significantly reduce production costs, leading to speculation about its overall impact on marketing costs. AIOSes will undoubtedly impact the advertising industry, but regulations must control them.
What Else Is Happening❗
🤖 Microsoft introduces a new Copilot for better productivity.
Microsoft's new Copilot for Windows and Surface devices is a powerful productivity tool integrating large language models with Microsoft Graph and Microsoft 365 apps to enhance work efficiency. With a focus on delivering AI responsibly while ensuring data security and privacy, Microsoft is dedicated to providing users with innovative tools to thrive in the evolving work landscape. (Link)
💰 Saudi Arabia to invest $40 billion in AI
Saudi Arabia has announced its plan to invest $40 billion in AI to become a global leader. Middle Eastern countries use their sovereign wealth fund, which has over $900 billion in assets, to achieve this goal. This investment aims to position the country at the forefront of the fast-evolving AI sector, drive innovation, and enhance economic growth. (Link)
🎧 Rightsify releases Hydra II to revolutionize AI music generation
Rightsify, a global music licensing leader, introduced Hydra II, the latest AI generation model. Hydra II offers over 800 instruments, 50 languages, and editing tools for customizable, copyright-free AI music. The model is trained on audio, text descriptions, MIDI, chord progressions, sheet music, and stems to create unique generations. (Link)
🚀 Open Interpreter’s 01 Light personal pocket AI agent
The Open Interpreter unveiled 01 Light, a portable device that allows you to control your computer using natural language commands. It's part of an open-source project to make computing more accessible and flexible. It's designed to make your online tasks more manageable, helping you get more done and simplify your life. (Link)
🤝 Microsoft's $650 million Inflection deal: A strategic move
Microsoft has recently entered into a significant deal with AI startup Inflection, involving a payment of $650 million in cash. While the deal may seem like a licensing agreement, it appears to be a strategic move by Microsoft to acquire AI talent while avoiding potential regulatory trouble. (Link)
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