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Generative AI is truly remarkable. Yet, it is often misunderstood as having capabilities far beyond its actual scope. The apparent intelligence of genAI models is a reflection of sophisticated pattern recognition rather than true cognitive abilities. In this interview write-up Rodney Brooks (co-founder of iRobot) emphasizes the importance of recognizing these limitations to avoid unrealistic expectations and misplaced trust in AI technologies. For example, there's no point building an LLM for warehouse robots. One can do that much more efficiently by connecting the robot to data coming from the warehouse software via existing mathematical models. https://lnkd.in/e6R8ND4W

🔥 Generative AI: Overhyped or Game-Changer? 🚀 MIT robotics expert Rodney Brooks warns: Generative AI can't replicate all human abilities! 🤔 Imagine this: We're riding the AI wave, but are we ready for the reality check? Brooks dives deep in his chat with TechCrunch. While generative AI shows immense promise, let's not forget its limitations. Here's why you need to pay attention: 💡 AI excels at specific tasks, but it's not a human replacement. 🔍 Overhype can lead to unrealistic expectations. 📉 Missteps in AI adoption can cost businesses more than they gain. Consider this: A smart implementation, understanding its scope and bounds, is your golden ticket. 🎟️ Check out the full article for an insightful look into the future of AI. 📚 🌐 Read more here: [Learn More](https://lnkd.in/gzpV5Ui8) 👥 Ready to navigate the AI landscape smartly? Let's connect and build the future together. 🤝

The frontier of Generative AI is jagged. These systems are highly capable in certain task but lacking, sometimes by design, in certain others. Read what robootics pioneer Rodney Brooks has to say about Large Language Models and USE THEM WITH CARE. "Brooks explained that when a human finds that an AI system is able to perform a task, they immediately generalise it to things that are similar. Eventually they land up in making an estimate of the competence of the AI system. Brooks further added that ‘not just the performance on that, but the competence around that'." #ArtificialIntelligence https://lnkd.in/dcVFKAnC

This article is a reasonable discussion about AI. A nice alternative to the somewhat manic conversations around the technology right now. Yes this is amazing technology moving at a breakneck speed but... https://lnkd.in/gwzgXMpT

🚀 We often overestimate the impact of innovations in the short run and underestimate it in the long run*. Interestingly, there's a notable split in this perspective when it comes to generative AI: those with proper AI skills tend to be cautious, highlighting limitations, while investors, leaders, sellers of AI solutions often promise transformative changes. At The Forge we use AI daily. It’s undeniably useful for some things, and less for other things. For sure, AI will have a substantial impact on our industry, but the impact and pace of change might be (s)lower than anticipated. I’m open to being proven wrong in a few years. For an insightful perspective, check out Rodney Brooks, a robotics pioneer, who believes generative AI is vastly overestimated. *something I unpicked in an older post: <iframe src="https://lnkd.in/e6RuERQj" height="1318" width="504" frameborder="0" allowfullscreen="" title="Embedded post"></iframe>

🔍 What does the future hold? The next major breakthrough is projected in robotics, enabling these machines to acquire physical interaction skills across various sectors. The pillars of success include a foundational model approach, training with high-quality data, and reinforcement learning. Implementing this approach aims to create a "GPT for robotics," predicting exponential growth in commercially viable robotic applications by 2024. AI continues to redefine the future.  Explore more: https://lnkd.in/eFVtf5CZ #ai #innovation2024 #gptforrobotics #airevolution #giantleap

🚨 Unpopular Take Alert! 🚨 I’m not alone in doubting the capabilities and potential of the generative AI technologies. The hype around generative AI has inflated valuations beyond sustainable levels, and I believe a market correction is inevitable. While the technology holds promise, the current enthusiasm overlooks significant challenges and limitations. We must be critical in evaluating the true potential and value of these innovations. What are your thoughts? Are we in a generative AI bubble? 💭👇 #GenerativeAI #TechBubble #MarketTrends

Here is some rational thinking about appropriate applications for Generative AI. In buildings, trained LLMs can certainly help with inference on textual data for cases like analyzing work orders, guessing metadata for points and devices, and other language-based tasks. However, let's not mistakenly think it applies to every use case. Expert systems excel in diagnostics and prognostics, and optimization and model identification methods remain strong for supervisory control applications. The world is hyped up on Generative AI, and it is amazing, but there are already many powerful tools available, each useful for the right application. Generative AI is not the answer to every problem! #AI #GenerativeAI #ArtificialIntelligence #Technology #ExpertSystems #Optimization

Rodney Brooks on GenAI He says the trouble with generative AI is that, while it’s perfectly capable of performing a certain set of tasks, it can’t do everything a human can, and humans tend to overestimate its capabilities. “When a human sees an AI system perform a task, they immediately generalize it to things that are similar and make an estimate of the competence of the AI system; not just the performance on that, but the competence around that,” Brooks said. “And they’re usually very over-optimistic, and that’s because they use a model of a person’s performance on a task.” #genai https://lnkd.in/g3cmeZfk

#GPT for #Robotics? [+] The “GPT for robotics” is being built the same way as GPT was — laying the groundwork for a revolution that will, yet again, redefine AI as we know it. [+] AI robotics “GPT moment” is near The growth trajectory of robotic foundation models is accelerating at a very rapid pace. And we’ll see an exponential number of commercially viable robotic applications deployed at scale in 2024. [+] The same core technology that allows GPT to see, think, and even speak also enables machines to see, think, and act.