Stable LM 2 12B Out: Still No SD3?
Plus: Apple's Ferret-UI beats GPT-4V, Musk says AI will outsmart humans in a year
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 249th edition of The AI Edge newsletter. This edition features Stabilty AI’s new multilingual model and how it is beating GPT-4V.
And a huge shoutout to our amazing readers. We appreciate you😊
In today’s edition:
🤖 Stability AI launches multilingual Stable LM 2 12B
📱 Ferret-UI beats GPT-4V in mobile UI tasks
⏰ Musk says AI will outsmart humans within a year
📚 Knowledge Nugget: User Research with Humans vs. AI by
Let’s go!
Stability AI launches multilingual Stable LM 2 12B
Stability AI has released a 12-billion-parameter version of its Stable LM 2 language model, offering both a base and an instruction-tuned variant. These models are trained on a massive 2 trillion token dataset spanning seven languages: English, Spanish, German, and more. Stability AI has also improved its 1.6 billion-parameter Stable LM 2 model with better conversational abilities and tool integration.
The new 12B model is designed to balance high performance with relatively lower hardware requirements than other large language models. Stability AI claims it can handle complex tasks requiring substantially more computational resources. The company also plans to release a long-context variant of these models on the Hugging Face platform soon.
Why does this matter?
Stable LM 2 uses powerful 12B models without the most advanced hardware, making it a great choice for enterprises and developers. Stability AI's multi-pronged approach to language solutions may give it an edge in the competitive generative AI market.
Ferret-UI beats GPT-4V in mobile UI tasks
Researchers have launched Ferret-UI, a multimodal language model designed to excel at understanding and interacting with mobile user interfaces (UIs). Unlike general-purpose models, Ferret-UI is trained explicitly for various UI-centric tasks, from identifying interface elements to reasoning about an app's overall functionality.
By using "any resolution" technology and a meticulously curated dataset, Ferret-UI digs deep into the intricacies of mobile UI screens, outperforming its competitors in elementary and advanced tasks. Its ability to execute open-ended instructions may make it the go-to solution for developers looking to create more intuitive mobile experiences.
Why does this matter?
Ferret-UI's advanced capabilities in understanding and navigating mobile UI screens will increase accessibility, productivity, and user satisfaction. By setting a new standard for mobile UI interaction, this innovative MLLM paves the way for more intuitive and responsive mobile experiences for users to achieve more with less effort.
Musk says AI will outsmart humans within a year
Tesla CEO Elon Musk has boldly predicted that AI will surpass human intelligence as early as next year or by 2026. In a wide-ranging interview, Musk discussed AI development's challenges, including chip shortages and electricity supply constraints, while sharing updates on his xAI startup's AI chatbot, Grok. Despite the hurdles, Musk remains optimistic about the future of AI and its potential impact on society.
Why does this matter?
Musk's prediction highlights the rapid pace of AI development and its potential to reshape our world in the near future. As AI becomes increasingly sophisticated, it could transform the job market and raise important ethical questions about the role of technology in society.
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Knowledge Nugget: User Research with Humans vs. AI
In his latest article, UX expert Jakob Nielsen explores the potential of AI in user research. He explains that while AI can improve the process by generating test tasks or conducting surveys, it cannot replicate the nuances that make real customers invaluable as study participants.
Nielsen examines four potential scenarios:
A human researcher with a human user,
A human researcher with an AI user,
An AI researcher with a human user, and
An AI researcher with an AI user.
He thumbs up the classic human-human approach, noting that even the best-written report can't match the visceral impact of watching customers struggle with a product. While AI-facilitated research holds some promise, Nielsen cautions that AI still lacks the behavioral insights and unpredictability that are vital for effective user research and risk management.
Why does this matter?
As AI advances, UX professionals may be tempted to rely heavily on it for user research. However, Nielsen reminds us of the irreplaceable value of human users. By striking the right balance between AI and human touch, researchers can use AI's efficiency while capturing the authentic user experience that drives successful design.
What Else Is Happening❗
🇬🇧 Microsoft is opening a new AI research hub in London
Microsoft is tapping into the UK's exceptional talent pool to drive language models and AI infrastructure breakthroughs. The move highlights Microsoft's commitment to invest £2.5 billion in upskilling the British workforce and building the AI-driven future. (Link)
🎥 OpenAI is using YouTube for GPT-4 training
OpenAI reportedly transcribed over a million hours of YouTube videos to train its advanced GPT-4 language model. Despite legal concerns, OpenAI believes this is fair use. Google and Meta have also explored various solutions to obtain more training data, including using copyrighted material and consumer data. (Link)
🧠 Arm's new chips bring AI to the IoT edge
Arm has introduced the Ethos-U85 NPU and Corstone-320 IoT platform, designed to enhance edge AI applications with improved performance and efficiency. These technologies aim to accelerate the development and deployment of intelligent IoT devices by providing an integrated hardware and software solution for Arm's partners. (Link)
🍁 Canada bets big on AI with $2.4B investment
Prime Minister Justin Trudeau has announced a $2.4 billion investment in Canada's AI sector, with the majority aimed at providing researchers access to computing capabilities and infrastructure. The government also plans to establish an AI Safety Institute and an Office of the AI and Data Commissioner to ensure responsible development and regulation of the technology. (Link)
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