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- xAI secures $6 billion funding, MIT’s linear hypothesis, Introducing: “TransAgents”
xAI secures $6 billion funding, MIT’s linear hypothesis, Introducing: “TransAgents”
Should other AI companies watch out?
Sthefania
May 28, 2024
Hello, Starters!
We all have a favourite team in the ongoing AI race, but keeping an eye out for other runners is always good. xAI promises to amaze us and bring innovations as it advances. Their CEO, Elon Musk, will make sure of that.
Here’s what you’ll find today:
xAI pushes forward with $6 billion in funding
MIT study refines linear hypothesis in AI
TransAgents is a solution to literary translation
Stephen Wolfram doesn’t think AI is a threat
AI is transforming agriculture
And more.
xAI is still young, but there's a lot in store for its future. Elon Musk's AI startup recently announced that they have secured a significant $6 billion in funding, which will be used to improve infrastructure, launch its first products to market, and advance its research efforts.
As we mentioned yesterday, xAI has some catching up to do if it wants to be on the same page as OpenAI, Meta, Microsoft, and Google. Yet, there's a possibility that it could end up surprising even the most sceptical. We've seen Grok's capabilities, and they're not falling short so this funding boost may be a turning point for the startup.
A team of researchers at MIT has discovered a novel way to understand how language models work. Previously, it was believed one-dimensional representations powered them, but there's more than meets the eye. Multi-dimensional features are also involved in their activation space, which alters the models' performance.
This research has been tested on Mistral 7B and Llama 3 8B models, where one of the multi-dimensional features found is based on circular representations. These cyclic patterns could be utilised for calendar-related tasks, such as determining the day of the week for a given date.
AI agents will be pretty important in future AI applications, and "TransAgents" is a good example of how they'll do that. Developed by researchers from Monash University, the University of Macau, and Tencent AI Lab, this innovation simulates a translation agency by assigning AI agents different roles with detailed profiles. Once the team is assembled, the group of "TransAgents" excels at literary translation.
The simulation includes every role found in a real translation agency, from editors to proofreaders, and it aims to help reduce translation costs. However, for now, it requires close supervision, so it's mostly a handy tool.
💡Stephen Wolfram, well-known for his computer algebra and theoretical physics work, has shared his thoughts on GenAI. He claims that this technology is not a threat to humanity but rather a further development of automation that complements human action and elevates it to another level. Our AI expectations shouldn't be unrealistic, according to him.
🌾An increasing number of fields benefit from AI algorithms. One of these is agriculture, where researchers are leveraging AI-based tools to help breeders and farmers address challenges such as degrading soil, diseases, and climate change, improving the quality of their crops.
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