AI Rewind: Why My Dog is Smarter than AI

This week’s most Interesting AI news

Roll Up of This Week’s AI Posts

This week, I spent a bit more time with my family and tried to stay away from the news, but there was one big AI story that I didn’t comment on. The New York Times is suing ChatGPT maker Open AI. Here is the links to the New York Times Article for their viewpoint. It will be a landmark decision for AI to see if these LLMs trained on internet data infringe on copyright.

Here are some of my posts from the week that were more educational. I hope you enjoy them.

Do you ever get a result from ChatGPT or Claude that is close but still needs more refinement? Rather than iterating back and forth multiple times, you can use 𝗿𝗲𝗰𝘂𝗿𝘀𝗶𝘃𝗲 𝗽𝗿𝗼𝗺𝗽𝘁𝗶𝗻𝗴 to improve your result with a single prompt.

More so than anything else, when I talk to my friends about AI, they almost always share one of two sentiments, “I am not sure we can trust AI.” or “How soon before AI takes my job?” I tell them that despite its impressive capabilities, AI still has a long way to go before it can match the cognitive abilities of a three-year-old child or even a dog. Generative AI has shown remarkable progress in language processing and pattern recognition. However, it cannot understand the natural world like a dog does. Unlike AI, which passively absorbs data, dogs actively learn from their environment, extracting information and learning socially and from physical stimuli.

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One of the most powerful features of ChatGPT is its understanding of sentiment. I often use it to rewrite an email when I am too tired to exercise the tact I'd like. A lot of times it allows me to respond without the cognitive load of trying to say politely that this communication stinks or I disagree. Given the holiday season is upon us you may be the recipient of a gift that isn't so great. I've asked ChatGPT for a list of responses to give friends and family should I receive that hand-knit doily from Aunt Sally (What the heck is doily for anyhow?) or the ugliest tie from the Walmart gift aisle. (I don't wear ties).

I thought this was a pretty creative look at how Generative AI can influence industries that we don't often think of as high-tech by Andy Forbes . Unsurprisingly, he is a sales leader for Generative AI at CapGemini. 🤣⛳

RAG is a solution to address the limited context of LLMs. Although LLMs have shown impressive few-shot learning capabilities, their knowledge is solely derived from pre-training on internet text. This makes them deficient in robust world knowledge, which results in their struggle to perform well on factual reasoning tasks. By incorporating dynamic external knowledge, RAG empowers LLMs to generate more accurate and specific responses to knowledge-intensive prompts.e more accurate and specific responses to knowledge-intensive prompts.

No matter what holiday you celebrate, if any at all. I wish you a very merry end of 2023 and a prosperous 2024. Here's a little ditty I cooked up with ChatGPT.

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Mckinsey, Third Wave of Digitization According to McKinsey, for many finance functions, gen AI will be table stakes—one among several of the essential tools that every practical, forward-looking finance function will use. They conceptualize gen AI as digital’s “third wave.” The second wave, clearly underway, is analytics empowerment; about half of the CFOs report that their functions were already using advanced analytics for discrete use cases such as cost analysis, budgeting, and predictive modeling. The third wave will make extensive use of robotics and AI. Very few companies are at the third wave yet.


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