2026 1

Things I Learned - 08 Nov 2026

This week, I learned: Facemorph.me implements face morphing via StyleGAN2 (among the best face morphing implementations I’ve seen) and exposes it via a free public site #ForNow. My reading from The Sequoia of Tomorrow: Money’s in the Bay Area. People, move there. Money’s in a few big winners. Maybe they can find them easy and don’t need to scout? Money’s in speed and fewer deciders. Partners don’t need to wait for and convince each other every Monday. Risky, but faster. Looks like you can use Codex via an API, since the OpenAI Agents 0.22.0-alpha.1 release is available. “This alpha introduces the embedded Codex harness in the OpenAI Agents SDK for JavaScript and TypeScript.” Via Daniel The amount I’m delegating to agents is small but growing. In Aug-Sep, a median session took Codex 3.3 minutes and only 4% of my prompts took 20+ minutes. In October, the median session took 7.5 minutes and 13% of my prompts ran 20+ minutes. ChatGPT image generation will be a separate quota from Codex #ForNow. Armin used Qwen3-TTS to detect voices. I ran a quick benchmark to see how well it did on my transcripts. Answer: Not very good. 32% precision, 84% recall. “Professors nowadays seem to have become professional fundraisers who do a little research on the side.” Also, “Turning the other cheek turns out to have selfish advantages.” Paul Graham Looks like we’ve learnt how to get a neuron to fire by shining a light on it. It’s called Optogenetics. Voice remixing is now available in Gemini 3.8 Flash and it did a pretty good job of replicating my voice as well as creating new voices based on a prompt. via X. Qwen3-TTS supports custom voices too and can run on your laptop with just 1.7B parameters. This (interestingly summarized) Machines of Loving Grace suggests factors that bottleneck intelligence (like in clinical trials, ) - and hence become the focus: People move slowly or impose constraints. Data isn’t available. Nature (biology, chemistry, engineering) works only so far. Nathan Baschez sees agents factories as the next step beyond “All employees use agents”. These are shared workflows maintained centrally that the organization can get work done with. That packages context (skills, prompts, docs, data) along with environment (tools, permissions). The main advantages are centralization (few experts/owners enable everyone) and execution (acting in the real world). WACZ seems to be the modern way to archive websites. Unlike MHTML, it can handle multiple pages. In the last 10 months (Jan-Oct 2026), I prompted Claude, Claude Code, ChatGPT, and Codex about 12,000 times. On average, I talk to AI ~40 times a day. That’s 80% of my “Talk to AI 50 times a day” recommendation. I still have some way to go. Phone spam marketing has reached an elevated level of obnoxiousness. I get calls from automated recordings often. But today, Airtel Black call me and put me on hold for two minutes. Wow! Then the music stopped and the line just hung. So, they put me on hold and ghosted me. And the reason I picked up the call was because their Internet was down - so a triple whammy! Not only have I started enjoying tea a lot, I quite look forward to it. Even to the point where a high point of my day is when someone serves me tea, unasked. As my daughter commented, I’m getting old. wacli is a CLI interface for WhatsApp. Unofficial, and works well #ForNow. There’s no clear, good, ChatGPT search / export CLI that I am comfortable with #ForNow. ChatGPT Mistakes I made Week ending 08 Nov 2026 ...

2025 3

Mimicking Developer Styles with Coding Agents

Tools in Data Science Sep 2025 edition is live: https://tds.s-anand.net/. Major update: a new AI-Coding section and fresh projects. I teach TDS at the Indian Institute of Technology, Madras as part of the BS in Data Science. Anyone can audit. The course is public. You can read the content and practice assessments. I fed the May 2025 term student feedback into The Sales Mind and asked: What are the top non-intuitive / surprising inferences? What are interesting observations? What are high impact actions? Full analysis: https://lnkd.in/gVWVqaxN: summary, outliers, and action ideas. ...

TDS 2025 Sep Edition

Tools in Data Science Sep 2025 edition is live: https://tds.s-anand.net/. Major update: a new AI-Coding section and fresh projects. I teach TDS at the Indian Institute of Technology, Madras as part of the BS in Data Science. Anyone can audit. The course is public. You can read the content and practice assessments. I fed the May 2025 term student feedback into The Sales Mind and asked: What are the top non-intuitive / surprising inferences? What are interesting observations? What are high impact actions? Full analysis: https://chatgpt.com/share/68cba081-afc0-800c-9da3-75222e84a499: summary, outliers, and action ideas. ...

Feedback for TDS Jan 2025

When I feel completely useless, it helps to look at nice things people have said about my work. In this case, it’s the feedback for my Tools in Data Science course last term. Here are the ones I enjoyed reading. Having a coding background, the first GA seemed really easy. So I started the course thinking that it’ll be an easy S grade course for me. Oh how wrong was I!! The sleepless nights cursing my laptop for freezing while my docker image installed huge CUDA libraries with sentence-transformers; and then finding ways to make sure it does not, and then getting rid of the library itself, it’s just one example of how I was forced to become better by finding better solutions to multiple problems. This is one of the hardest, most frustrating and the most satisfying learning experience I’ve ever had, besides learning ML from Arun sir. ...

2005 1

Few toilets

We were looking for houses for rent in the Ilford area. The most striking thing, apart from how old the houses were, was that all of them had just a single bathroom. No separate toilet. I learnt the importance of having multiple toilets several years ago, and was only reiterated early in the morning this weekend where one toilet and one bathroom were shared by six of us at Swindon. ...