Exorcist-Lite Robots, Gemini’s Med Fellowship, Founders Forecast AI Surge: AI Weekly Breakthroughs

Watch the latest episode of AI Weekly Breakthroughs, a show where we review the latest news and updates in the world of AI.
The show starts with new findings from Hampton’s 2024 AI Founder Report, which offers valuable intel on AI’s impact on business from a founder’s perspective. According to the survey, a resounding 90% of founders are using AI or actively integrating it into their businesses, while just 3% report having no intention of adopting AI.
Boston Dynamics has introduced their new fully electric robot, Atlas. While some of Atlas’ body movements are a bit reminiscent of certain scenes from “The Exorcist,” as their promotional video shows, Atlas nevertheless signals a significant leap forward in robotic potential. Atlas is built for practical utility in real-world environments. It can navigate physical areas, move objects and potentially even cook, transforming what was once science-fiction fantasy into achievable innovation. Atlas hints at the future potential of combining the reasoning capabilities of LLMs with a robot’s precise physical capabilities.
While the majority of AI innovations as of late have come from U.S. institutions, a new formidable contender to GPT-4 Turbo was just released by China’s SenseTime. SenseNova 5.0, with 600 billion parameters and a context window of 200,000, surpasses most NLP benchmarks previously dominated by its well-known counterpart. What sets this model apart is not just its impressive capabilities, but also its groundbreaking use of almost exclusively synthetic data, suggesting an era where AI is trained on an endless, tailored stream of domain-specific data created by Generative AI. Initial results from SenseNova 5.0 testing show that the technology gap in AI between the U.S. and other countries is now very small if there even is a gap anymore at all.
We recently explored the ability of LLMs in taking medical board exams across five specialties. Google’s research team has taken AI further by training Gemini on a series of medical-specific tasks. Through self-training with web search integration, fine tuning and customized encoders, and chain of reasoning prompting, Google researchers have enabled Gemini to achieve state-of-the-art performance in 10 out of 14 medical tasks. The researchers show Gemini’s impressive ability across multiple use cases in the recently published paper.
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[@MadamPettine]

I think the AI videos are so common, if should be forbidden to me, to have possibility to put in discussion real facts. Dosn't matter how good intenzions you may have, criminal are criminals. We have already hudge problem whith peole having distorpia- whatever they see in internet are unable to recodnice in real life, what Is translated on actions. And that's are Just exeples.