The Machine Mindset

It’s a common lament: “I asked ChatGPT for scientific references, and it returned the names of non-existent papers.” How and why does this happen? Why would large language models (LLMs) such as ChatGPT create fake information rather than admitting they don’t know the answer? And why is this such a complex problem to solve? LLMs are an increasingly common presence in our digital lives. (Less sophisticated chatbots do exist, but for simplification, I’ll refer to LLMs as “chatbots” in the rest of the post.) These AI-driven entities rely on complex algorithms to generate responses based on their training data. In this blog post, we will explore the world of chatbot responses and their constraints. Hopefully, this will shed some light on why they sometimes "hallucinate." How do chatbots work? Chatbots such as ChatGPT are designed to engage in conversational interactions with users. They are trained on large ...

In recent years, artificial intelligence has revolutionized various industries. One of the exciting developments is the rise of conversational AI models like ChatGPT. ChatGPT is powered by OpenAI's GPT-3.5 architecture. A paid version uses the even more advanced GPT-4. ChatGPT has tremendous potential in enhancing user experiences and creating lucrative opportunities. This post will explore strategies and avenues through which you can leverage ChatGPT to generate income. These ideas were suggested by ChatGPT itself! Then the copy was rewritten and expanded on by myself. (This is a real-world example of how ChatGPT can help you create content!) Providing Virtual Assistance and Customer Support One of the most practical ways to monetize ChatGPT is by offering virtual assistance and customer support services . Many businesses struggle to handle large volumes of customer queries efficiently. This is where ChatGPT can be...

“It is absolutely necessary, for the peace and safety of mankind, that some of earth’s dark, dead corners and unplumbed depths be let alone; lest sleeping abnormalities wake to resurgent life, and blasphemously surviving nightmares squirm and splash out of their black lairs to newer and wider conquests.” ― H.P. Lovecraft, At the Mountains of Madness Horror fans might be familiar with author H.P. Lovecraft's fictional “shoggoths”, the shape-shifting and amorphous entities that he wrote about in his Cthulhu Mythos. In the context of AI emergence, the term "shoggoth" is sometimes used to refer to a possible futuristic advanced form of artificial intelligence. It highlights the idea of an AI system that can rapidly learn, evolve, and assimilate new information and skills, much like how Lovecraft's shoggoths can change their forms and abilities. Much has been made of so-called emergent abilities in AI....

On 4 May, a purported leaked document from Google appeared online. The document, titled “We have no moat, and neither does OpenAI”, seems to be an admission that the big companies working on AI are unable to keep competing with open-source researchers. This document, and admission, created quite a stir. To understand why, we need to take a step back... Tale as Old as ... The question of whether AI research should be open source has long been a hot topic of debate in the AI community. On the one hand, proponents of open source argue that making AI research openly available to the public will encourage collaboration and innovation, ultimately leading to the development of better technologies. Open source allows for transparency and accountability. This is particularly important in areas such as healthcare, where the consequences of AI errors could be catastrophic. There are also concerns that closed AI research ...

The good news: GPT-4 is here! The bad news: It doesn’t quite live up to the hype. The versions of GPT-4 currently available to the public are refined and improved versions of their predecessors, sure. But the much-touted multimodal capabilities are more limited than was widely expected. And even the ability of users to upload visuals for various reasons is not quite ready for public roll-out. Disappointingly to many as well, OpenAI is keeping mum on the specifics of GPT’s size and training data. What is GPT-4? GPT-4, short for Generative Pre-training Transformer 4, is the latest of OpenAI’s AI language models. (A variation, GTP-4-32K, is being rolled out separately, but for the sake of simplicity, we will refer to both as GTP-4.) GPT-4 follows in the footsteps of GPT-3.5, the technology behind the now-famous ChatGPT. "Generative" refers to the fact that GPT models can produce human-like text. It does this by predicting the next word in a ...