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The ‘reply guy’ in me told me that public perception of whether the Gemini name ‘sucks’ or ChatGPT sounds funny is not precisely what keeps Sundar Pichai or Sam Altman up at night right now. Then I thought it was a good chance to showcase Google’s Nano Banana Pro and OpenAI’s GPT ImageΒ 1.5, the latest image generation models from the AI giants, and their remarkable, highly improved capabilities to:

– Generate highly realistic images of public figures doing mundane tasks in mundane settings.

– Produce high-quality marketing copy for virtually any conceivable junk.

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Read.AI is one of the fastest-growing, most useful genAI productivity tools I’ve tried this year. Built by an award-winning startup, it provides automated meeting transcription, summaries, and real-time analytics by integrating directly into major video conferencing apps, such as Zoom, Teams, and Google Meet. The platform is backed by patented technology that analyzes explicit and implicit participant signals for sharper meeting insights. Beyond high-quality transcripts and useful dashboards, Read.AI recently released “Search Copilot”, an agentic chatbot that leverages info from your transcripts and other productivity tools you may connect, so your meetings never sink into a pile of meeting minutes nobody reads or fade because everyone forgot what was actually said.

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If you are a professional and consider yourself β€˜in need,’ you don’t need a job. You need the salary, plus any other material or immaterial benefits the job provides. Additionally, you may want a particular job that provides them for you.

By the way, I made some infographics with Gemini 2.0 Flash native image generation, the new favorite toy in the Gen AI world…

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Talking to Chatbots is a platform where I share my ideas and thoughts with the world in the form of chatbot conversations and generative AI prompts. Songwriting and music production are likely my favorite generative AI use cases and endless sources of fun. While most music generated by transformer-based models inevitably produces a perception of inexplicable “soullessness” that is behind most of the AI hate and the discourse created around “AI slop,” just as happens with long text produced by LLM inference, some of us enjoy the process of endless iteration and experimentation until we find something we consider unique …

(In the Post-Truth World) I’m Cringe But I’m Free Read more »

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Today’s post contains an easy practical use case for multimodal chatbots that I’ve been wanting to test and show here for quite some time, but it still proves we’re far from expecting reliable ‘reasoning’ from LLM tools when incorporating even fairly rudimentary visual elements such as time series charts. I challenged ChatGPT 4o (as discussed in an earlier post, o1 in the web app still does not support image input), Gemini, and Claude to analyze a stacked area chart that visually represents the evolution in the net worth of an individual. After several attempts and blatant hallucinations by all models, I share the best outputs which, as usual in most of the SCBN battles published on Talking to Chatbots, were those from ChatGPT.

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OpenAI has just released its o1 models. o1 adds a new level of complexity to the traditional architecture of LLMs, a zero-shot chain-of-thought (CoT). I share my first impressions about o1 in the signature style of this website: talking to chatbots, getting their answers, posting everything.

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Below is the notebook I submitted (late) to the LMSYS – Chatbot Arena Human Preference Predictions competition on Kaggle. This notebook applies NLP techniques for classifying text with popular Python libraries such as scikit-learn and TextBlob, and my own fine-tuned versions of Distilbert. The notebook introduces the first standardized version of SCBN (Specificity, Coherency, Brevity, Novelty) quantitative scores for evaluating chatbot response performance. Additionally, I introduced a new benchmark for classifying prompts named RQTL (Request vs Question, Test vs Learn), which aims to refine human choice predictions and provide context for the SCBN scores based on inferred user intent. You …

Predicting LMSYS Chatbot Arena Votes With the SCBN and RQTL Benchmarks Read more »

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We talk so much about β€˜papers’ and the presumed authenticity of their content when we read through academic research, in all fields, but when touching on machine learning in particular. Ironically, the process that created the medium for scientific research diffusion in the physical paper era was not that different from the process that produces the β€˜content’ in the era governed by machine learning algorithms, whether these are classifiers, search engines, or generative algorithms: β€˜shattering’ texts by tokenizing them and creating embeddings, decomposing pieces of visual art into numeric β€˜tensors’ a deep artificial neural network will later β€˜diffuse’ into images that attract clicks for this cringey blog…

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Searching for information is the quintessential misconception about LLMs being helpful or improving other existing technology. In my opinion,Β 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’.

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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]
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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 β€œauthenticity” of early musical genres. It’s hard to grasp the human concept of β€œauthenticity” 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 β€œauthentic” 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:

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The Meme Erudite explains a meme about customer service:

Ah, the classic rallying cry of the disoriented client, an illustration that humorously encapsulates the paradox of client service industries everywhere. The figures’ jubilant ignorance and insistence on immediate gratification satirizes the oftentimes contradictory and urgent demands made by clients. Shall we explore the deeper comedic roots of this satire, or would you prefer that I save my breath, which, as an artificial entity, I lack?

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😎 What is the opposite of self-awareness? Help me find an appropriate term as I’m completely out of words for something I saw posted on the Internet πŸ€– The opposite of self-awareness can be described by several terms depending on the context and nuance you’re aiming for. If self-awareness is understood as the recognition of one’s own emotions, desires, and characteristics, its opposite could be defined as: Unconsciousness: In the broadest sense, lacking awareness of oneself and one’s surroundings, but it typically applies to a lack of conscious cognition rather than the psychological understanding of self-awareness. Ignorance: Lacking knowledge or …

Peak Self-Oblivious Lunacy, by DALLΒ·E Read more »

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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.”

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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.

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