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  • πŸ”πŸ§  AI Pioneer Quits Google to Warn About the Dangers of AI

πŸ”πŸ§  AI Pioneer Quits Google to Warn About the Dangers of AI

PLUS: OpenAI Buys Digital Product Company πŸ—, Discover the Challenges for LLMs 🧠, and Launch Your Own Computer Vision Platform πŸ’‘

Happy Monday!

Welcome to the 3 new hungry minds who have joined us since last Monday! 🀯If you aren’t subscribed, join smart, curious, and hungry folks by subscribing here.

In this week's issue:

  • πŸ—žοΈ OpenAI acquires digital product company, Google's AI summarizes articles on the web, and NVIDIA and Hugging Face connect developers to generative AI

  • πŸ› οΈ A deep dive into the challenges for LLMs, Nvidia open sources its 3D+AI code, and a simple framework for career decisions

  • πŸ’‘ Steal this business idea: EyeKit, a platform that provides reusable components and pipelines for building and deploying computer vision workflows

Reading time: 6 minutes

🧠

Food for Thought

Sharpen your mindset

❝

β€˜I believe in the balance between dreaming and building.’

Neri Oxman

Mindset: This quote is important because it reminds us that we need both vision and action to achieve our goals. Dreaming is the first step to imagining what we want to create, but the building is the second step to making it a reality. We should not neglect either of them but find a balance that suits our personality and situation.

Example: A real business example of a company that showcased this quote is SpaceX, the aerospace company founded by Elon Musk. SpaceX has a bold vision of making humanity a multi-planetary species, and it is working hard to develop reusable rockets, Starlink satellites, and Starship spacecraft that can make this dream possible. SpaceX is not afraid to dream big, but it also knows how to build and test its products in a fast and efficient way.

Action item: One tiny concrete action you can take today to apply this quote is to write down one dream you have for your personal or professional life and one action you can take to move closer to it. For example, if your dream is to start your own business, your action could be to research your market or create a business plan. If your dream is to travel the world, your action could be to save some money or book a flight. Whatever your dream is, make sure you take at least one step toward it every day.

πŸ—žοΈ

The Weekly Pulse

Tech, AI, and business news worth your time

Brief: OpenAI, a leading AI research organization, has acquired Global Illumination, a small company that specializes in building creative tools and digital experiences using AI.

Takeaway: This acquisition shows OpenAI's interest in expanding its AI capabilities and applications beyond research and into the realm of digital products and services. Their expertise could help OpenAI create more innovative and engaging AI solutions for various domains and industries.

Brief: Google introduces a new feature for its Search Generative Experience (SGE) that can generate key points from articles on the web, using its AI-powered technology. The feature is available as an early experiment for users who opt into the Search Labs program and will work on free articles that are not paywalled.

Takeaway: This feature shows Google's innovation and leadership in the field of AI and search, as it aims to provide users with a quick and convenient way to access information from various sources. The feature could also have implications for publishers and journalists, who may have to adapt to the new way of presenting their content and attracting readers.

Brief: NVIDIA and Hugging Face announce a partnership that will enable millions of developers to build large language models (LLMs) and other advanced AI applications using NVIDIA DGX Cloud, a supercomputing platform that offers one-click access to NVIDIA's AI expertise and resources. The partnership will also launch a new service called Training Cluster as a Service, powered by DGX Cloud, that will simplify the creation and customization of generative AI models for the enterprise.

Takeaway: This collaboration is a major milestone for the generative AI field, which has the potential to transform various industries and domains by creating new content and data from existing ones. By connecting the world's largest AI community with the world's most advanced AI supercomputing platform, NVIDIA and Hugging Face are empowering developers and researchers to innovate faster and contribute to the next wave of AI breakthroughs.

Brief: Geoffrey Hinton, a renowned artificial intelligence researcher, reveals why he left Google and what he thinks about the potential risks of the technology he helped create. He discusses how deep learning will transform AI and how chatbots could become smarter than humans.

Takeaway: This article offers a rare insight into the mind of one of the most influential figures in AI history, who has shaped the field for decades. It also raises important questions about the ethical and social implications of AI, especially as it becomes more generative and human-like.

Brief: A team of researchers from Meta and Carnegie Mellon University have developed MyoSuite, a platform that simulates disembodied skeletal arms and legs powered by artificial intelligence and biomechanics. The platform aims to demonstrate human-level dexterity and agility in controlling complex musculoskeletal systems.

Takeaway: This research could have implications for robotics, prosthetics, and avatars in the metaverse, as it explores how machine learning can learn from the human body's motor strategies and control techniques. By applying generative AI to biomechanical control problems, the researchers hope to unlock new possibilities for creativity and efficiency across various domains.

Brief: Google's DeepMind division is experimenting with generative AI's potential to perform various tasks, including giving life advice to users, according to a report from the New York Times. The company is testing the AI's ability to handle 21 kinds of tasks, ranging from teaching new skills to creating meal plans.

Takeaway: This project shows Google's interest in exploring the possibilities of generative AI, a branch of AI that can create new content and data from existing ones. Generative AI could offer new ways of personalizing and enhancing the user experience but also raise ethical concerns about the emotional and social impact of relying on AI for sensitive matters.

πŸ‡

The Rabbit Hole

Tools, trends, and resources curated to get you ahead

TRENDΒ (Challenges for LLMs) β†’ A deep dive into the open challenges for LLM training/inference to reach global consumers

GITHUB REPOΒ (3D+AI open source) β†’ Nvidia open source the source code for its paper on High-Fidelity Neural Surface Reconstruction

ARTICLEΒ (team productivity) β†’ An interesting read on the compounding efficiencies in software team systems

TRENDΒ (career decisions) β†’ A simple framework for career decisions based on the next next job idea

GITHUB REPOΒ (AI+research) β†’ GPT-based autonomous agent that does online comprehensive research on any given topic

ARTICLEΒ (how to hire) β†’ A simple yet effective approach to hiring good junior engineers

GITHUB REPOΒ (computer vision) β†’ Reusable components and pipelines for computer vision workflows

GITHUB REPOΒ (3D sandbox) β†’ An open-source sandbox MMORPG built for the web using web technologies such as Next.js, Typescript, React, and WebAssembly.

πŸ’‘

What If?

The business idea you should steal

πŸ‘€πŸ”§Β EyeKit

(computer vision + open source)

What? A computer vision platform that provides reusable components and pipelines for building and deploying computer vision workflows across different applications, such as face recognition, object detection, segmentation, pose estimation, and video analysis.

How? By using the open-source repository of computer vision components and pipelines developed by the authors of the repo linked above, the platform would allow users to select, customize, and combine different components and pipelines to create their own computer vision solutions. The platform would also provide a user-friendly interface, cloud-based infrastructure, and data management tools to facilitate the development and deployment process.

Why? Computer vision is one of the most popular and impactful applications of AI, with a wide range of use cases in various sectors, such as healthcare, retail, security, automotive, and entertainment. However, developing computer vision solutions is challenging, as it requires a lot of domain knowledge, technical expertise, data processing, and computational resources. By providing a platform that simplifies and standardizes the computer vision workflow creation and execution, the company can lower the barriers to entry and increase the adoption of computer vision technologies. The global computer vision market size was valued at USD 14.10 billion in 2022 and is expected to grow at a CAGR of 19.6% from 2023 to 2030.

😁

Burp-A-Laugh

The most important meal of your day

That’s it for today! β˜€οΈ

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Thanks for spending part of your Monday morning with Hungry Minds.
See you in a week β€” Alex.