I conducted a session on Wed, 03 Dec 2025 at IIM Alumni Singapore - Remote. Summary: Vibe analysis lets AI handle code and analytical mechanics while you focus on useful questions, surprising insights, verification, and what action follows. Here’s the link to the session Links: Story Transcript Audio (107 min)
I joined Madhu Sathiaseelan’s podcast to talk about LLM Psychology. But it’s also fascinating to see how much SECONDARY content you can generate from a video. Do you prefer sketch-notes? See Nano Banana Pro’s version below. Or are you a slides person? https://talks.s-anand.net/2025-11-06-llm-psychology/ How about a Malcolm Gladwell article? https://github.com/sanand0/talks/raw/refs/heads/main/2025-11-06-llm-psychology/mind-readers.docx Or reading the raw transcript? https://github.com/sanand0/talks/tree/main/2025-11-06-llm-psychology The way in which we consume information is entirely up to us. This is making a lot more content (e.g. research papers, government regulations, medical reports, policy documents, product manuals, …) accessible to me - just by asking it to rewrite it as a sketch-note, slides, article, or anything I prefer. ...
I conducted a session on Sat, 15 Nov 2025 at IIT Madras workshop - Remote. Summary: With coding agents, specifications become the product and code becomes cheap. Work faster by delegating implementation, testing aggressively, and optimizing for review. Here’s the link to the session Links: Transcript
I conducted a session on Wed, 29 Oct 2025 at IIT Madras — Department of Engineering Design - Chennai, India. Summary: LLMs can generate, interpret, and even invent visualizations. The analyst’s role shifts toward asking better questions, testing novelty, and judging whether a visual is useful. Here’s the link to the session Links: Transcript
I conducted a session on Thu, 23 Oct 2025 at Straive - Remote. Summary: Vibe coding focuses on outcomes rather than code. Give agents clear requirements and enough context, let them implement, and judge delivered behavior instead of implementation details. Here’s the link to the session Links: Video (116 min) Transcript
I conducted a session on Thu, 16 Oct 2025 at Landmark Group - Remote. Summary: Vibe analysis delegates the analytical process to agents and focuses humans on business outcomes. Explore broadly, verify key claims, and automate successful analyses afterward. Here’s the link to the session Links: Video (123 min) Transcript
I conducted a session on Mon, 22 Sep 2025 at Straive - Chennai, India. Summary: LLMs are becoming cheaper, smarter, longer-context, more autonomous, and more multimodal at once. Each trend makes previously bespoke workflows practical to automate. Here’s the link to the session Links: Transcript
I conducted a session on Thu, 18 Sep 2025 at BI Worldwide AMA - Chennai, India. Summary: AI is becoming cheap, capable infrastructure. Use it heavily, manage it like a large team of smart interns, and build verification into the work. Here’s the link to the session Links: Transcript
Tomorrow, we’ll be vibe-analyzing data at a Hasgeek Fifth Elephant workshop. It’s a follow-up to my DataHack Summit talk “RIP Data Scientists”. I showed how it’s possible to automate many data science tasks. In this workshop, the audience will be doing that. Slides: https://talks.s-anand.net/2025-09-16-vibe-analysis/ (minimal because… well, it’s “vibe analysis”. We’ll code as we go.) Here are datasets I’ll suggest to the audience: India Census 2011: https://www.kaggle.com/datasets/danofer/india-census MovieLens movies: https://grouplens.org/datasets/movielens/32m/ IMDb movies: https://datasets.imdbws.com/ Occupational Employment and Wage Statistics (OEWS): https://www.bls.gov/oes/tables.htm Global AI Job Market & Salary Trends 2025: https://www.kaggle.com/datasets/bismasajjad/global-ai-job-market-and-salary-trends-2025 Flight Delay Dataset: https://www.kaggle.com/datasets/shubhamsingh42/flight-delay-dataset-2018-2024 London House Price Data: https://www.kaggle.com/datasets/jakewright/house-price-data Exchange Rates to USD: https://www.kaggle.com/datasets/robikscube/exhange-rates-to-usd-from-imforg-updated-daily Thailand Road Accidents (2019-202): https://www.kaggle.com/datasets/thaweewatboy/thailand-road-accident-2019-2022 … but if you’d like stories from any interesting recent datasets (10K - 10M rows, easy-to-download), please suggest in the comments. 🙏 ...
I conducted a session on Mon, 15 Sep 2025 at GALE Partners AMA - Bangalore, India. Summary: AI capability is improving far faster than organizational adoption. Use it now, focus on practical outcomes, and expect culture, trust, and workflow redesign to be harder than technology. Here’s the link to the session Links: Transcript
I conducted a session on Sat, 13 Sep 2025 at PyCon India 2025 - Bangalore, India. Summary: DuckDB offers a simpler, faster analytical default than Pandas for many workloads: SQL, low memory use, remote files, rich functions, and embedded deployment. Here’s the link to the session Links: Video (28 min)
Slides for my DataHack Summit talk (controversially) titled RIP Data Scientists are at https://talks.s-anand.net/2025-08-21-rip-data-scientists/ Summary: as data scientists we explore, clean, model, explain, deploy, and anonymize datasets. I live-vibe-coded each step with DGCA data in 35 minutes using ChatGPT. Of course, it’s the tasks that are dying, not the role. Data scientists will leverage AI, differentiate on other skills, and move on. But the highlight was an audience comment: “I’m no data scientist. I’m a domain person. I’ll tell you all this: If you don’t follow these practices, you won’t have a job with me!” ...
I conducted a session on Thu, 21 Aug 2025 at DataHack Summit 2025 - Bangalore, India. Summary: AI coding works best when repositories are easy for agents to understand, tasks are well-scoped, tests are fast, and humans review outcomes rather than keystrokes. Here’s the link to the session
I conducted a session on Mon, 11 Aug 2025 at PyConSG Education Summit 2025 - Singapore. Summary: Code can be analyzed socially, not just technically: repository behavior, collaboration patterns, and AI-based evaluation reveal how people build software and where process breaks. Here’s the link to the session Links: Video (15 min) Transcript
At the DoMS, IIT Madras 2025 commencement, I shared how MBA students might adapt to an AI world. Takeaways The MBA syllabus will age fast; adaptability is a core competency https://youtu.be/sSyBUSuLduQ?t=02m03s LLMs have a “jagged-edge”. Management tools—redundancy, cross-checks, human escalation—still work https://youtu.be/sSyBUSuLduQ?t=07m02s LLMs already deliver hours of analyst work in minutes. Entry-level roles WILL vanish https://youtu.be/sSyBUSuLduQ?t=14m21s High-value knowledge jobs—strategy, finance, contract risk, market research—are being refactored by AI https://youtu.be/sSyBUSuLduQ?t=23m01s Learn less of grunt-work. LLMs can handle that https://youtu.be/sSyBUSuLduQ?t=45m22s Study with LLMs as Socratic sparring. Run “draft-critique-rewrite” sprints https://youtu.be/sSyBUSuLduQ?t=49m17s Funny bits ...
I conducted a session on Thu, 24 Jul 2025 at Singapore Python User Group - Singapore. Summary: LLM command-line workflows can automate everyday Python tasks, then grow into agents that execute code and perform reliable calculations with tools like Pydantic AI. Here’s the link to the session
I conducted a session on Wed, 23 Jul 2025 at AWS Innovation Day — Manufacturing, Industrial and Supply Chain - Singapore. Summary: LLMs can turn messy industrial and IoT data into working analyses live, collapsing the gap between domain question, code, model, and decision. Here’s the link to the session Links: Transcript Audio (11 min)
We created data visualizations just using LLMs at my VizChitra workshop yesterday. Titled Prompt to Plot, it covered: Finding a dataset Ideating what to do with it Analyzing the data Visualizing the data Publishing it on GitHub … using only LLM tools like #ChatGPT, #Claude, #Jules, #Codex, etc. with zero manual coding, analysis, or story writing. Here’re 6 stories completed during the 3-hour workshop: Spotify Data Stories: https://rishabhmakes.github.io/llm-dataviz/ The Price of Perfection: https://coffee-reviews.prayashm.com/ The Anatomy of Unrest: https://story-b0f1c.web.app/ The Page Turner’s Paradox: https://devanshikat.github.io/BooksVis/ Do Readers Love Long Books? https://nchandrasekharr.github.io/booksviz/ Books Viz: https://rasagy.in/books-viz/ The material is online. Try it! ...
My VizChitra talk on Data Design by Dialog was on LLMs helping in every stage of data storytelling. Main takeaways: After open data, LLMs may the single biggest act of data democratization. https://youtu.be/hPH5_ulHtno?t=01m24s LLMs can help in every step of the (data) value chain. https://youtu.be/hPH5_ulHtno?t=00m47s LLMs are bad with numbers. Have them write code instead. https://youtu.be/hPH5_ulHtno?t=06m33s Don’t confuse it. Just ask it again. https://youtu.be/hPH5_ulHtno?t=05m30s If it doesn’t work, throw it away and redo it. https://youtu.be/hPH5_ulHtno?t=20m02s Keep an impossibility list. Revisit it whenever a new model drops. https://youtu.be/hPH5_ulHtno?t=20m02s Never ask for just one output from an LLM. Ask for a dozen. https://youtu.be/hPH5_ulHtno?t=22m20s Our imagination is the limit. https://youtu.be/hPH5_ulHtno?t=26m35s Two years ago, they were like grade 8 students. Today, a postgraduate. https://youtu.be/hPH5_ulHtno?t=00m47s Do as little as possible. Just wait. Models will catch up. https://youtu.be/hPH5_ulHtno?t=31m45s Funny bits: ...
I conducted a session on Thu, 19 Jun 2025 at PyCon Singapore 2025 - Singapore. Summary: LLM command-line tools make Python automation conversational: inspect files, transform data, call APIs, and compose workflows by describing the result you want. Here’s the link to the session