I completely align with the viewpoint expressed in the article that large language models (#LLMs) are reaching their limits (https://lnkd.in/girr_mrp). Although LLMs have been groundbreaking, their fundamental nature as pattern-recognition engines means they're bound by significant limitations: They predict subsequent text based on vast amounts of training data, and can create impressive outputs but fundamentally lack the understanding and reasoning needed for true intelligence.
𝐍𝐞𝐮𝐫𝐨𝐬𝐲𝐦𝐛𝐨𝐥𝐢𝐜 𝐀𝐈 𝐢𝐬 𝐚𝐧 𝐞𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 that merges neural networks' pattern recognition with symbolic AI's logical reasoning, enabling genuine understanding and complex problem-solving beyond the capabilities of traditional LLMs. One of the #Startups in the Microsoft for Startups portfolio that is doing amazing work in this area is AUI™ (Augmented Intelligence).
I also agree with the opinions expressed by Yann LeCun in this The Wall Street Journal article: https://lnkd.in/gHJEEP43. #LLMs are just the language part of our brain, not the reasoning part. It's like how people with great language skills can sometimes seem smarter.
It is also where hybrid #AI comes in: https://lnkd.in/gQnP4NYW. In the future, LLMs may play a minor role in systems that exhibit common sense and humanlike abilities, as advancements integrate diverse techniques and algorithms.
From an #emergingtech perspective the areas that I am intrigued by and always looking for #startups in, are: #NeuroSymbolicAI, #HybridAI, #AgenticAI, #MultiAgenticAI and more. Great to have met with some amazing #startups lately including AUI™ (Augmented Intelligence), Nimble , Indellia, Numorpho Cybernetic Systems (NUMO), Instalily, Implement AI, OneAdvisor.ai, JoopiterX, HeadOffice.ai ...
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