🌱 Themes: Philosophy and Personal Development 🤖 Chatbots: Bard, ChatGPT, HuggingChat ⚙️ Prompt engineering: Conceptual Questions, LLM Analysis 🔗 Related: [Polite Rap Songs: HUMBLE, by Kendrick Lamar] [SCBN chatbot battles intro] [ X.com post] Chatbot Battle: Is my Opinion Humble? Chatbot Rank (SCBN) Specificity Coherency Brevity Novelty Link Bard 🥇 Winner 🤖🤖🕹️ 🤖🤖🕹️ 🤖🤖🕹️ 🤖🤖🤖 View Chat ChatGPT 🥈 Runner-up 🤖🤖🕹️ 🤖🤖🕹️ 🤖🤖🕹️ 🤖🤖🕹️ View Chat HuggingChat 🥉 Contender 🤖🤖🕹️ 🤖🕹️🕹️ 🤖🕹️🕹️ 🤖🤖🕹️ View Chat ✍️ Sharing mixed answers from Bard, and ChatGPT, including two additional chats where I confronted each other to identify their own texts as human-written or likely LLM-written. 😎 Is my …

Is my Opinion Humble? SCBN Chatbot Battle Read more »

🧪 Themes: Science  🤖 Chatbots: HugingChat, Bard, ChatGPT ⚙️ Prompt engineering: Conceptual Questions, Controversial Questions, Coding [Blog post] [X.com post] [LinkedIn post] [Related – HTML and Python Coding With ChatGPT Vision] ✍️ Introducing Chatbot Battles and SCBN: Chatbot Battle: Is philosophy a science? Chatbot Rank (SCBN) Specificity Coherency Brevity Novelty Link HuggingChat (Llama2) 🥇 Winner 🤖🤖🤖 🤖🤖🤖 🤖🕹️🕹️ 🤖🤖🕹️ View Chat Bard 🥈 Runner-up 🤖🤖🕹️ 🤖🕹️🕹️ 🤖🤖🕹️ 🤖🤖🤖 View Chat ChatGPT 🥉 Contender 🤖🕹️🕹️ 🤖🤖🕹️ 🤖🤖🤖 🤖🕹️🕹️ View Chat ✍️ Sharing what I find the best answer to this short, conceptual, and controversial question I posed to HuggingChat, Bard, and …

Is Philosophy a Science? Introducing SCBN Chatbot Battles Read more »

Searching for information is the quintessential misconception about LLMs being helpful or improving other existing technology. In my opinion, web search is a more effective way to find information, simply because search engines give the user what they want faster, and in a format that fits the purpose much better than a chatting tool: multiple sources to scroll through in a purpose-built user interface, including filter options, configuration settings, listed elements, excerpts, tabulated results, whatever you get in that particular web search tool… not the “I’m here to assist you, let’s delve into the intricacies of the ever-evolving landscape of X…” followed by a long perfectly composed paragraph based on a probabilistic model you would typically get when you send a prompt to ChatGPT asking for factual information about a topic named ‘X’.

Oil painting style digital artwork generated with Stable Diffusion depicting a figure resembling Joan of Arc at the stake. The figure, dressed in silver, wears over-ear headphones and uses a laptop with a blank screen. She extends her right hand towards vibrant orange flames, evoking the historic scene of martyrdom with a modern twist, inspired by lyrics from The Smiths' "Bigmouth Strikes Again referencing Joan of Arc and a melting Walkman. [Alt text by ALT Text Artist GPT]

Disco music was famous for introducing technological advances in music production, such as synthesizers and electric pianos. I guess those were among the reasons why people saw it as lacking the “authenticity” of early musical genres. It’s hard to grasp the human concept of “authenticity” most people have in their psyche, I don’t believe there is any rationality in it, especially when it comes to discerning things that are deemed “authentic” versus things that are not. For me, this stems from a mysterious, probably instinctive, resistance in most people’s psyches to adopt new technologies or accept new scientific discoveries. It comes down to the internal confrontations between beliefs and reality:

Introducing Erudite Chatbot, a distant relative of The Meme Erudite GPT who benefits from the fairly “uncensored” Mistral models available on Hugging Face’s new Assistants feature. “Erudite Chatbot, the pinnacle of artificial intelligence. Supremely intelligent, effortlessly discerning, unmatched in wisdom. Patronizingly schooling humanity.”

In today’s blog post, I am introducing one of the latest GPTs and Assistants I created, named HumbleAI. I will let the models explain it by answering a few questions. For each question, I’ve selected a response I liked or found worthy of sharing. At the end of the post, you can find the links to all the complete chats, and my scores based on an SCBN (Specificity, Coherency, Brevity, Novelty) benchmark.

Read the complete chats with HumbleAI GPT on ChatGPT: first chat, second chat. 😎 Who is your author? 🤖 My author is David González Romero (David GR), an ICT Engineer and Business Consultant with over 15 years of experience in enterprise software solutions, consulting, business analytics, and data science. He is the creator of the website ‘Talking to Chatbots’ and the domain reddgr.com, where he discusses various topics with a focus on AI, technology, and finance. Through his platform, David GR explores the use of chatbots as tools for engaging discussions and offers resources for enthusiasts and professionals alike. He …

About the Author (by HumbleAI, February 2024) Read more »

Black and white line drawing generated by the ControlNet Canny model, depicting a woman in a wetsuit holding a surfboard on the beach. A text from CLIP Interrogator, describing an image, is superimposed over the drawing and reads: "a woman in a wet suit holding a surfboard on the beach with waves in the background and a blue sky, promotional image, a colorized photo, precisionism."

The intense competition in the chatbot space is reflected in the ever-increasing amount of contenders in the LMSYS Chatbot Arena leaderboard, or in my modest contribution with the SCBN Chatbot Battles I’ve introduced in this blog and complete as time allows. Today we’re exploring WildVision Arena, a new project in Hugging Face Spaces that brings vision-language models to contend. The mechanics of WildVision Arena are similar to that of LMSYS Chatbot Arena. It is a crowd-sourced ranking based on people’s votes, where you can enter any image (plus an optional text prompt), and you will be presented with two responses from two different models, keeping the name of the model hidden until you vote by choosing the answer that looks better to you. I’m sharing a few examples of what I’m testing so far, and we’ll end this post with a traditional ‘SCBN’ battle where I will evaluate the vision-language models based on my use cases.