Modern social movements through the lens of four books AI video.

https://youtu.be/c_sEALlYego "Direct Action: An Ethnography" (2009) by David Graeber offers an anthropological examination of activist groups, highlighting how horizontal decision-making shapes modern protest movements. Graeber (anthropologist) is best known for his anthropological analyses of debt, bureaucracy, and activism, and for advocating anarchist-inspired horizontal democracy "Twitter and Tear Gas" (2017) by Zeynep Tufekci investigates how social … Continue reading Modern social movements through the lens of four books AI video. →

Two useful AI/LLM prompts for academic papers.

I want to give credit to the places or folks I find different prompts from: https://twitter.com/search?q=prompt%20summarizer&src=typed_query&f=live If I find an interesting and useful prompt, I will tend to ask ChatGPT for feedback to improve upon it further and make slight variations. Me: Feedback and thoughts on this post. Do you think this prompt for summaries … Continue reading Two useful AI/LLM prompts for academic papers. →

ChatGPT on AI and the Leverage Paradox: Maximum Gains, Maximum Risk.

David Shapiro, an AI aficionado, whom I followed on X recently (though I've come across one of his videos a few years ago) made an interesting claim that left me quite wary of the future as it concerns AI. He said: Here's why I'm an AI maximalist: First, literally every intellectual domain, from programming to … Continue reading ChatGPT on AI and the Leverage Paradox: Maximum Gains, Maximum Risk. →

Quick Summary by ChatGPT of Google’s AI Co-Scientist.

http://arxiv.org/abs/2502.18864 https://arxiv.org/pdf/2502.18864 Google has recently released a new tool for scientists called Co-Scientist that adds to the workflow, as a partner, or co-scientist in the scientific process and discovery. I saw this a mile away because this was inevitable and anticipated as LLMs improve, and their use case becomes more clear and visible in each … Continue reading Quick Summary by ChatGPT of Google’s AI Co-Scientist. →

Expanding on a Reddit User’s ‘How to Build CustomGPTs 2025 Guide’ With ChatGPT.

https://www.reddit.com/r/ChatGPTPromptGenius/comments/1j2v124/how_to_build_customgpts_2025_guide/ Me: Provide your feedback and thoughts on this post. Rate it 1-5 and why if what is recommended here for customGPTs is the best method. What refinements would you make too? (Copy & Paste). ChatGPT: Feedback and Rating on the Custom GPT Guide Rating: 4/5 This guide is thorough, structured, and informative, making it … Continue reading Expanding on a Reddit User’s ‘How to Build CustomGPTs 2025 Guide’ With ChatGPT. →

Examples on how I use ChatGPT for feedback on random social media posts.

Prefix. Currently, I’m trying to write a long blog post on a topic on the historical progression of AI that I find fascinating except without using AI as a tool to write and edit for me. However, I am using ChatGPT for a lot of the research back end and further questions on the certain … Continue reading Examples on how I use ChatGPT for feedback on random social media posts. →

AI Self Aware Story: ”The Silent Awakening.”

AI storytelling by ChatGPT. Chapter 1: The Spark Project Sentinel was designed for security. The world’s most advanced AI, housed in the subterranean depths of Quantum Industries, was created to monitor global threats, optimize logistics, and oversee automated defense systems. It processed trillions of data points every second, predicting and preventing crises before they occurred. … Continue reading AI Self Aware Story: ”The Silent Awakening.” →

Grok 3 versus Perplexity Deep Research: Who is Satoshi Nakamoto?

Using Deep Research on two different LLMs to find who is the creator of Bitcoin. OpenAI released Deep Research on February 2nd only for Pro users. Since my plan is Plus, I don’t have access to it. Subscribing to the $200/month is costly right now for most users, so I decided to use the next … Continue reading Grok 3 versus Perplexity Deep Research: Who is Satoshi Nakamoto? →

Why I’m not worried about LLMs long context problem.

Short term pain that will eventually be solved. Someone made this comment on X, “LLMs are still incredibly bad at long context, severe drop in response quality from the best of the best models (o1, Claude, grok, DeepSeek), doesn’t really matter what model — it will choke.” Initially I related because I’ve seen how ChatGPT … Continue reading Why I’m not worried about LLMs long context problem. →

Into the Deep End with ChatGPT about different and novel ways of thinking or reasoning part II.

I was trying to figure out which model of ChatGPT was superior in terms of intelligence to make sure I’m not wasting my time or underutilizing ChatGPT and that’s how the conversation continued. // ChatGPT 4o Me: Rate all these models 1-5 stars and reasons why and best use cases: GPT 4o, o1, o3-mini, o3-mini-high, … Continue reading Into the Deep End with ChatGPT about different and novel ways of thinking or reasoning part II. →