In the world of artificial intelligence, things change all the time, exciting developments continue to emerge, pushing the boundaries of what we thought was possible.
This week, we witnessed a series of fascinating advancements that range from the world of chatbot avatars to compressing open-source models like Falcon using SPQR.
Join us as we delve into these captivating developments and explore their potential implications.
Embodied AI Reaches New Heights
Let’s begin with a dose of unconventional wackiness that involves virtual reality (VR) chess and robot avatars.
Picture this: two robots, each controlled by a human wearing a suit, equipped with feedback gloves and VR headsets that allow them to see through the robot’s eyes. These robot avatars possess the ability to not only play chess but also perform maintenance, rescue operations, and other tasks requiring human-like dexterity.
Could this be the future of sports, where MMA fighters battle using robotic avatars? It’s a thought-provoking possibility that blurs the lines between human and machine interaction.
Learning Through Watching
In the realm of culinary innovation, we stumble upon a robot chef that has mastered its craft by watching instructional videos. Yes, you read that right! This culinary automaton has absorbed knowledge by observing videos, raising intriguing questions about the future of automation in restaurants. Imagine encountering such a robotic chef at your local McDonald’s. While it might still seem far-fetched, technological advancements have a way of surprising us.
Now, let’s shift our focus to the integration of AI avatars into ChatGPT, specifically through the “Hey Gen” plugin. This revolutionary tool allows users to rapidly create avatars based on the text generated by ChatGPT. By combining the Hey Gen plugin with the Wolfram plugin, users can ask ChatGPT to solve complex problems and generate explainer videos using an avatar. This opens up a world of creative possibilities, making information more engaging and accessible to a broader audience.
Shrinking Models with SPQR: Enabling AI on Smaller Devices
In the domain of open-source models, a groundbreaking approach called SPQR has emerged. Researchers have successfully compressed large language models, such as Llama and Falcon, in a near-lossless manner. This compression technique has two significant implications.
Firstly, it allows larger models to be used on smaller devices, even on something as compact as an iPhone 14. Secondly, it enhances the inference speed of the model, resulting in faster output generation. By isolating and storing the most crucial model weights with higher precision while compressing the rest, SPQR significantly reduces the memory requirements without sacrificing accuracy.
Meta’s Leaked Llama and Autonomous AI Concerns
It’s worth mentioning that the leaked Llama model, accidentally disclosed by Meta, has sparked discussions about the potential of large language models (LLMs).
Meta, formerly known as Facebook, is not only working on projects like Project 92, an alleged Twitter rival, but also exploring the integration of AI assistants into platforms like WhatsApp and Instagram.
However, Mark Zuckerberg, the head of Meta, has raised concerns about the development of autonomous AI and the need for responsible governance to prevent unintended harm. He emphasizes the importance of considering the risks associated with the increasing autonomy of AI systems.
From Corporations to AlphaFold
When the topic of super intelligence arises, Mark Zuckerberg draws an intriguing analogy between corporations and AI systems. While acknowledging that we currently have organizations and structures that exhibit greater-than-human intelligence, he emphasizes the need for careful consideration of AI autonomy and governance.
Nevertheless, real-life examples showcase the accelerating power of AI. DeepMind’s AlphaFold, for instance, can rapidly fold proteins, a process that would typically require years of experimental work. AI’s potential to revolutionize various fields is undeniable, leaving us in awe of its capabilities.
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Conclusion
The world of AI continues to evolve at a breathtaking pace, as exemplified by the developments discussed above. From the exciting potential of robot avatars and AI-powered chefs to the compression of open-source models with SPQR, we witness remarkable advancements that redefine what is achievable. However, it is crucial to tread cautiously, keeping ethical considerations and responsible governance at the forefront. As we navigate this technological frontier, let us embrace the transformative power of AI while ensuring its development aligns with the betterment of humanity.
Note: The views and opinions expressed by the author, or any people mentioned in this article, are for informational purposes only, and they do not constitute financial, investment, or other advice.
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