S Anand

I maintain an LLM art style gallery - prompts to style any image I generate. Since I generate several comics, I added a comic category page that includes styles like: To generate these, I asked Claude: Here are some examples of image styles I've explored. <image-styles> "2D Animation": "2D flat animation style, clean vector lines, cel-shaded coloring, cartoon proportions" "3D Animation": "Modern 3D animation render, smooth surfaces, dramatic lighting, Octane render quality, cinematic depth" ... </image-styles> In the same vein, I'd like to explore **comic** styles. Create 30 popular comic / cartoon styles, aiming for diverse aesthetics and cultural influences. Name it concisely (1-2 words) based on the source, but the description should not reference the source directly (to avoid copyright issues). Focus on the visual characteristics that define each style. Pick those KEY visual elements that will subliminally evoke the style without explicitly naming it. … followed by: ...

I added a narrative story to my LLM Pricing chart. That makes it easier for me and others to tell the story of AI’s evolution in the last three years. Video It was vibe-coded over two iterations. In the first version, I prompted it to: Add a scrollytelling narrative. So, when users first visit the page, they see roughly the same thing as now (but prettier). As they scroll down, the page should smoothly move to the earliest month, and then animate month by month on scroll, and explaining the key events and insights in terms of model quality and pricing. Use the data story skill to do this effectively, narrating like Malcolm Gladwell, with the visual style of The New York Times, using the education progression as a framework for measure of intelligence (read prompts.md for context). Store the narrative text in a separate JSON file and read from it. This should control the entire narrative, including what month to jump to next, what models to highlight, what insights to share, and so on. ...

People worry that AI atrophies skills. Also that junior jobs, hence learning opportunities, are shrinking. Can AI fill the gap, i.e. help build skills? One approach is: Do it without AI. Then have AI critique it and learn from it. (Several variations work, e.g. have the AI do it independently and compare. Have multiple AIs do it and compare. Have AI do it and you critique - but this is hard.) ...

After an early morning beach walk with a classmate, I realized I hadn’t taken my house keys. My daughter would be sleeping, so I wandered with my phone. This is when I get ideas - often a dangerous time for my students. In this case, the idea was a rambling conversation with Claude that roughly begins with: As part of my Tools in Data Science course, I plan to create a Cloudflare worker which allows students to play a game using an API. The aim is to help them learn how to build or use AI coding agents to interact with APIs to solve problems. ...

It’s impressive how easy it is to find leaked API keys in public repositories. I asked Codex to run trufflehog on ~5,000 student GitHub accounts and (so far, after a few hours, 15% coverage), it found quite a few. Some are intended to be public, like Google Custom Search Engine keys. 1 2 const GOOGLE_API_KEY = "AIza..."; const GOOGLE_CX = "211a..."; Some are Gemini API keys. 1 2 3 4 5 6 7 api_key1 = "AIza..." But what’s really impressive is, when I ran: GEMINI_API_KEY=AIza... curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-3-flash-preview:generateContent" \ -H 'x-goog-api-key: $GEMINI_API_KEY' \ -H 'Content-Type: application/json' \ -d '{"contents": [{"parts": [{"text": "Hi"}]}]}' … on most leaked Gemini API keys, I got: ...

I’ve long felt that while the Gemini 3 Pro model is fairly good, the Gemini CLI harness isn’t. I saw an example of this today. Me: Tell me the GitHub IDs of all students in this directory. Gemini CLI: SearchText 'github' within ./ Found 100 matches (limited) Sending this message (14606686 tokens) might exceed the remaining context window limit (1037604 tokens). Me: Only send the (small) required snippets of data. Write code as required. ...

STEP 1: I asked Nano Banana 2 (via Gemini Pro) to: Imagine and draw a photo that looks ultra realistic but on a closer look, is physically impossible, and can only exist because images are a 2D projection that we extrapolate into three dimensions. Avoid known / popular illusions or images of this kind, like Escher’s work, and create something truly original. Think and draw CAREFULLY! … six times, followed by “Suggest a name for this”. ...

In my graded assignments students can pick an AI and “Ask AI” any question at the click of a button. It defaults to Google AI Mode, but other models are available. I know who uses which model and their scores in each assignment. I asked Codex to test the hypothesis whether using a specific model helps students perform better. The short answer? Yes. Model choice matters a lot. Across 333 students, here’s how much more/less students score compared with ChatGPT: ...

When I was in class 8 or 9, our English teacher told us a story I’ll never forget. There was a poor farmer who lived in a village. He owed the zamindar (landlord) of the village a lot of money. The zamindar had an eye on his daughter. “Marry your daughter to me, and I’ll forgive your debt,” he said. The farmer was reluctant. “Please, sir, what will the village say about your marrying such a young girl?” he asked. ...

I was watching Vasu while Codex-ing and came across this dialogue: Here’s the dialogue, recorded via ffmpeg, transcribed via AI Studio: మీ నాన్న మిమ్మల్ని పోలీస్ ఆఫీసర్ అవ్వమని అడిగితే అయ్యారా? మీకు ఇష్టం కాబట్టి అయ్యారు. సచిన్ టెండూల్కర్ ని ఇంజనీర్ ని చేయాలని వాళ్ళ నాన్న అనుకుని ఉంటే, ఇండియా ఒక గొప్ప క్రికెటర్ ని మిస్ అయ్యేది. విశ్వనాథ్ ఆనంద్ ని డాక్టర్ ని చేయాలని వాళ్ళ అమ్మ కోరుకుని ఉంటే, ఇండియాకి ఓ గ్రాండ్ మాస్టర్ ఉండేవాడు కాదు. ...