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What is Artificial General Intelligence (AGI) and Why It’s Not Here Yet: A Reality Check for AI Enthusiasts

Unite.AI

Symbolic AI , a classical approach using logic and symbols for knowledge representation and manipulation, excels in abstract and structured problems like mathematics and chess but needs help scaling and integrating sensory and motor data. Similarly, OpenAI's GPT-3 generates coherent and diverse texts across various topics and tasks.

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Amazon EC2 DL2q instance for cost-efficient, high-performance AI inference is now generally available

AWS Machine Learning Blog

Roy from Qualcomm AI. Amazon Elastic Compute Cloud (Amazon EC2) DL2q instances, powered by Qualcomm AI 100 Standard accelerators, can be used to cost-efficiently deploy deep learning (DL) workloads in the cloud. DL2q instances are the first instances to bring Qualcomm’s artificial intelligent (AI) technology to the cloud.

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ODSC West Recap, Slides, and Minisodes Podcast, Open-Source Data Catalogs, and Limitations of LLMs

ODSC - Open Data Science

Understanding the Core Limitations of Large Language Models: Insights from Gary Marcus Gary Marcus, a leading voice and critic of AI, shared his thoughts in a recent podcast, where he explored LLMs’ limitations, the need for hybrid AI approaches, and more. Led Global AI Alliance, the latest in AI investments, & more.

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Evaluation Derangement Syndrome (EDS) in the GPU-poor’s GenAI. Part 1: the case for Evaluation-Driven Development

deepsense.ai

OpenAI used this approach to make ChatGPT by ensuring that GPT3/4 will not set off on racist rants, etc., by finetuning it to score highly on a reward model trained for OpenAI-preferred ideological biases. 2023 Witscript 3: A hybrid AI system for improvising jokes in a conversation , Toplyn J., Galstyan A. Cresswell J.C.,

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Understanding the Core Limitations of Large Language Models: Insights from Gary Marcus

ODSC - Open Data Science

Marcus’s views provide a deep dive into why LLMs, despite their breakthroughs, are not suited for tasks requiring complex reasoning and abstraction. This blog explores Marcus’s insights, addressing LLMs’ inherent limitations, the need for hybrid AI approaches, and the societal implications of current AI practices.