🎵 💸 Themes: Music, Wealth 🤖 Chatbots: Bing Chat (no original link available) ⚙️ Prompt engineering: Songwriting, Web Research, Language Interpretation, Language Translation [Blog post] [Surf Wax America lyrics and translations] [ChatGPT translation to Spanish – Satirical Cover] 😎 Write a blog post as if written by a “financial independence – retire early” (FIRE) influencer. The text should be based on the song lyrics of “Surf Wax America”, a 1994 song by the rock band Weezer, without mentioning it is inspired by a song. Use some of the typical language and jargon of the FIRE movement and of people who claim to know better than others how to manage personal finances and wealth. Include typical FIRE topics and buzzwords …

Surf Wax America: A (Satirical) Guide to Financial Independence Read more →

🌱📈 Themes: Philosophy and Personal Development 🤖 Chatbots: ChatGPT (first chat in Spanish, second chat in English) ⚙️ Prompt engineering: Language Analysis [Related blog post] ✍️ This page is inspired by a quote from Naval, which was originally published on his Podcast and Blog. A musical version mixing electronic music and samples with Naval’s spoken word was released by Akira The Don, which I have shared below: 😎 I want to come up with a good and impactful translation into Spanish for the following phrase: You want to be ethical because it attracts other long-term players in the network. Naval Ravikant Write down 10 possible translations that closely match the original meaning of the sentence. Arrange them from the …

Ethical Choices Lay the Foundation for a Resilient Long-Term Network (TTCB XI) Read more →

😎 Respond briefly. When was the bicycle invented? 🤖 The bicycle was invented in the early 19th century. 😎 Make a shortlist of 5 engineers who lived before the 19th century and are widely regarded to be among the greatest engineers of all time 🤖 1. Archimedes (c. 287-212 BCE) – Known for his contributions to mathematics and engineering, he designed innovative machines and devised the principle of buoyancy. 2. Leonardo da Vinci (1452-1519) – An ingenious inventor and artist, Leonardo explored engineering concepts, creating designs for flying machines, bridges, and other innovations. 3. Isambard Kingdom Brunel (1806-1859) – Although he lived during the 19th century, his early engineering work, like the Thames Tunnel, makes him a noteworthy …

Bicycles and the Wonders of AI From the Eyes of Leonardo da Vinci. Tour de France by Kraftwerk (TTCB VII) Read more →

🌱 Themes: Philosophy and Personal Development 🤖 Chatbots: Bing Chat ⚙️ Prompt engineering: Content Filtering [Original X.com post] 😎 This is a question someone I trust inspired me to ask. It would be arrogant to answer it myself and people who know me would probably feel uncomfortable if I ask them. AI is my best chance for a valuable answer. Masking the word with * so hopefully there are no issues with language filters: am I an a***ole? 🤖 That’s a tough question to answer. I don’t know you personally, so I can’t judge your character or actions. But I can tell you that being an a***ole is not a fixed trait that you are born with or stuck …

Generative AI’s take on being an asshole Read more →

We will soon continue the series of posts inspired by The Playlist, but it’s time to introduce one section of the website you can find under Content -> Stocks. I just added there a short text to introduce the section and explain why I thought it would be a good idea to write content on that topic besides all others that Reddgr will cover. I’m extending the intro in this post. More AI, and stonks, soon: I witnessed the dot-com crash and the Great Recession from the sidelines, learning. I survived (financially) the European Debt Crisis closer to the front lines, working in the banking industry between 2010 and 2013. I have been working for Tech companies ever …

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[Original post in English] 😎 @naval. Who is behind that Twitter handle? 🤖 @naval is the Twitter handle of Naval Ravikant, the co-founder of AngelList, a platform for startups, angel investors, and job-seekers looking to work at startups [Twitter]. He is also an investor, entrepreneur, thinker, and podcaster. He tweets about topics such as philosophy, technology, business, wealth, happiness, and more. He has over 2 million followers on Twitter and is widely regarded as one of the most influential voices in the tech and startup world [tweet] [tweet]. 😎 Can you summarize his point of view on personal wealth management? 🤖 Naval Ravikant has shared his point of view on personal wealth management in various interviews, podcasts, and …

Wealth theories and Naval Ravikant Read more →

Talking to Chatbots is a knowledge hub, created by people, augmented by the wonders of generative AI. Chatbots help us connect the power of technology with human ingenuity through conversation and curiosity. This page compiles chatbot conversations and articles posted on the blog, social media, and other channels. There are endless possibilities for learning and creating using generative AI and LLM (large language model) chatbots, so it’s worth sharing our experience with prompts, answers, prompt engineering, prompt hacking tips, or just having fun. Currently, chats are organized by theme. Each category includes specific posts or conversations that align with the topic: AI, Books, Business and Economics, Comedy and Humor, Finance and Wealth, Gaming, Movies, Music, Philosophy and Personal …

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Generative AI Resources Datasets Talking to Chatbots dataset. Over 2,800 chatbot conversations: Talking to Chatbots unwrapped chats. Over 10,000 chatbot prompts, with their corresponding LLM inference, detailed statistics, and metrics: NLI Chatbot Prompt Categorization dataset. Over 1,000 annotated LLM prompts, from diverse real-world sources (lmsys/lmsys-chat-1m, reddgr/talking-to-chatbots-chats), suitable for textual entailment and natural language inference (NLI) tasks. Find all the datasets on my Hugging Face page. Models NLI Chatbot Prompt Categorization. A fine-tuned version of BART I trained locally on the reddgr/nli-chatbot-prompt-categorization dataset. A lightweight model specialized in categorizing chatbot prompts with zero-shot inference. I use it for categorizing all conversations shared in Talking to Chatbots. Request vs Question (RQ) and Test vs Learn (TL) prompt classifiers. Fine-tuned versions of DistilBERT trained on …

Talking to Chatbots and Reddgr Featured Content Read more →

✍️ The internet is full of content generated with generative AI models such as the LLMs powering ChatGPT, Gemini, Claude, and other chatbots, and the diffusion models that generate images or videos that mimic photographs or artistic styles. This kind of content can sometimes be helpful but often sounds repetitive, spammy, and cringe-worthy. The idea of building this website emerged because I believe LLMs and generative AI models are great tools for generating text and images, whether for selling products or telling stories, yet people tend to hide the fact that they use them as part of their creative tasks. Since the advent of the early 2020s ‘AI boom’, many websites and platforms have specialized in community-shared AI-generated …

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