Elon Musk’s Plans For the Largest Supercomputer
Plus: Stability AI releases a text-to-audio AI model, New study reveals key insights into young peoples’ use of Gen AI.
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 291st edition of The AI Edge newsletter. This edition features xAI’s plans to construct the world’s largest supercomputer.
And a huge shoutout to our amazing readers. We appreciate you😊
In today’s edition:
🎧 Stability AI’s sound generator creates drum beats and instrument riffs
🤖 xAI to build the gigafactory of compute
📊 New study reveals key findings on young peoples’ use of Gen AI
🧠 Knowledge Nugget: An AI PC is an Oxymoron by
Let’s go!
Stability AI’s sound generator creates drum beats and instrument riffs
Stability AI’s Stable Audio Open can generate up to 47-second audio samples based on text descriptions. The open AI model is trained on data from 486,000 samples of royalty-free music samples. The tool enables users to generate drum beats, instrument riffs, and ambient sounds.
However, the AI model has its limitations.
It is unable to produce full songs, melodies, or vocals.
Its terms of service prohibit users from using Stable Audio Open commercially.
Its training data is biased toward the English language and specific music styles.
Why does it matter?
The tool will enable creative users like sound designers, musicians, and developers to fine-tune the model to their own custom audio data, which is a major leap in the realm of generative AI’s audio generation capabilities.
xAI to build the gigafactory of compute in Memphis
The AI startup seeks to build the world’s largest supercomputer in a multi-billion dollar project. The company plans to use this supercomputer to develop AI products, including its chatbot, Grok. The facility will be powered by Nvidia's H100 GPUs. The project aims to be operational by fall 2025.
The project will reportedly use Nvidia AI chips originally intended for Tesla, raising concerns about conflicts of interest. Moreover, Musk hasn’t yet delivered Grok 2, an advanced AI model that he had promised in May.
Why does it matter?
The supercomputer’s support for the development of Grok could become a groundbreaking advancement in the field of AI technology. Moreover, the project represents a multi-billion dollar investment that could create numerous job opportunities and boost the economy.
New Study reveals insights on young peoples’ use of Gen AI
The study directly involved young readers and examined the use of generative AI by use, ethnicity, age, gender, and LGBTQ+ identity. Key findings include:
50% of the survey respondents (aged 14-22) have used generative AI. However, only 4% use it daily.
For 53% of respondents, the use case for generative AI was obtaining information, while for 51%, it was brainstorming.
Black young people are more likely to use generative AI compared to their white peers. Reasons include getting information, brainstorming ideas, and assistance with schoolwork.
Young people of Latin origin are more likely than white people to use generative AI for multiple purposes, including image generation and getting help with their jobs.
Out of respondents who have never used generative AI, 34% believed it would not be helpful.
Among people never having used generative AI, LGBTQ+ young people are more likely to use it in comparison to cisgender and straight respondents.
41% of respondents believe that generative AI will have a positive as well as negative impact on their lives in the next 10 years.
Why does it matter?
Understanding the diverse ways in which the younger users engages with generative AI enables businesses to uncover trends and data-oriented insights to improve their AI models and deliver, user experiences that are responsive and inclusive.
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Knowledge Nugget: An AI PC is an Oxymoron
suggests that the future of computing lies in AI-based voice and gesture interfaces instead of traditional computers, arguing that Microsoft's vision for an AI PC is misguided. The author believes that AI-powered apps will fully handle tasks like summarizing sources, grabbing quotes, and composing drafts within the next few years, reducing human dependency on personal computers and other devices. Why does it matter?
LLM models are continually advancing human-computer interaction, with AI-powered apps improving accessibility, efficiency, and user experience. Significant advancements in this area could reveal new applications and advancements, altering the future of several industries.
What Else Is Happening❗
🛠️Mistral’s new SDK simplifies customization for users
Mistral’s SDK, Mistral-Finetune, will allow users to modify its models on workstations, servers, and small data center nodes. While optimized for multi-GPU setups, the SDK can also scale down to a single Nvidia A100 or H100 GPU. It enables developers to fine-tune data sets such as UltraChat within half an hour, says Mistral. (Link)
🏢Salesforce inaugurates its first AI Centre in London
The goal of the centre is to foster collaboration, AI training, upskilling, and create AI-related jobs among developers, industry experts, and customers. This step is a part of its £4bn five-year investment in the UK, solidifying London’s position as a global AI hub. (Link)
🛒eBay unveils new AI-tool to enhance product image backdrops
The tool, currently available for iOS users in the UK, USA, and Germany, automatically removes image backgrounds and allows users to replace them with AI-generated backdrops. The AI feature powered by Stable Diffusion will enable sellers to upload high-quality photos easily. (Link)
👥Asana introduces AI teammates
The platform leverages historical data based on parameters like skill sets and missing information, allowing teams to define tasks and get an overview of who is assigned which responsibility. The tool allows users to interact with it using an AI chat interface. (Link)
🚀Writer launches a suite of No-Code development tools
The Gen AI platform announced major expansions that included Writer Framework – a drag-and-drop tool that enables developers to connect pre-built UI components with generative AI to create custom AI applications. The tool additionally provides full flexibility to the underlying code. (Link)
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