Stephen Howell
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How to Sound Instantly Informed: The 30-Second Trend Hack
Smart prompts are concise, conversational questions that help AI distill complex topics into quick, insightful summaries. Ideal for meetings, research, or casual chats, they deliver focused, jargon-free updates. Variations keep responses fresh, and adding a surprising viewpoint boosts credibility. Use them to sound informed fast without deep prep.
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Fast Insights: Summarizing Trends for Smart Conversations
Smart prompts are tailored AI questions that quickly deliver clear, relevant insights on complex topics, ideal for meetings, networking, or casual chats. They filter noise, match tone, and adapt depth to fit the audience. Variations help you sound informed fast, with bonus tips like adding surprising facts for extra credibility.
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How To Add Conversation History to Your WordPress Website
Display user and visitor conversation histories on your WordPress site using the Kognetiks Chatbot plugin with a simple shortcode. Logged-in users retain full history; visitors see session-based logs. Enable logging in plugin settings, configure retention duration, and customize appearance with CSS as needed for enhanced user experience.
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How to Set Up JAN.AI as a Local AI Server for WordPress
Running JAN.AI locally boosts privacy, speed, and cost-efficiency by processing AI on your own machine. This guide covers downloading JAN.AI, installing compatible models from Hugging Face, activating them, and integrating with the Kognetiks Chatbot in WordPress for a secure, high-performance AI setup without cloud dependency or subscription fees.
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Decoding Patterns: How Generative AI Tackles Verbal Analogies and Beyond
AI models, like ChatGPT, demonstrate reasoning through verbal analogies, showcasing advanced natural language processing and pattern recognition. Their high scores on standardized tests stem from extensive training on vast datasets, not true understanding. While they excel in structured tasks, their responses can be brittle and unreliable in unpredictable situations. AI’s capabilities should augment human intelligence…
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Delving into Time Paradoxes and the Limitations of Generative AI Models
Generative AI, like ChatGPT o1-preview, can effectively address complex questions, such as the grandfather paradox, by leveraging extensive training data. However, it lacks true omniscience, consciousness, and personal experiences, and is limited by training cutoffs and inability to process real-time information. Understanding these limitations is crucial for effectively utilizing AI as a tool.
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Small Language Models: The Future of AI on a Budget?
Lightweight AI, specifically Small Language Models (SLMs), can enhance chatbots by being cost-effective, efficient, and privacy-focused. Using a Markov Chain algorithm, the Kognetiks Chatbot can generate responses based on a site’s own content, improving specificity and response times while reducing reliance on external APIs. Upcoming updates will integrate this feature, allowing for tailored and secure…
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AI with Attitude: The Future of Conversational Technology
Conversational AI is transforming interactions with technology, potentially reintroducing warmth and personality to digital communication. Devices like Siri and Alexa use voice recognition to engage users, but their responses are still programmed and limited. As AI becomes more integrated into daily life, ethical considerations arise regarding its influence on behavior and decision-making. The future of…
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Kognetiks Chatbot 2.1.8: Unlocking Seamless AI Integration for WordPress
Kognetiks Chatbot for WordPress 2.1.8 enhances engagement and security with NVIDIA NIM API integration, improved assistant management, seamless conversation continuation, and strengthened security protocols. Download now to elevate your site’s AI-powered interactions.
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The Future of AI Reasoning: Can Machines Truly Think?
The Deep Dive Podcast discusses whether AI can reason like humans, exploring AI’s struggles with riddles and abstract concepts. It highlights limitations in AI’s understanding of common sense and social constructs, emphasizing the gap between language processing and true comprehension. The conversation touches on Turing tests, challenges in measuring AI intelligence, and the philosophical implications…