
ABOUT ME
aliases: Anand, Bal, Bhalla, Stud, Prof.
Vidya Mandir. IITM. IBM. IIMB. LBS.
Lehman. BCG. Infy Consulting. Gramener. Straive.
More about me.
CONTACT ME
whatsapp: +91 9741 552 552
phone: +65 8646 2570
e-mail: [email protected]
social: LinkedIn | GitHub | YouTube
WORKING WITH ME
To invite me to speak, please see my talks page.
For advice, see time management, career or AI advice. Else mail me.
To work with me on projects, please send a pull request.
GET UPDATES
RSS Feed. Visit “Categories” at the bottom for category-specific feeds.
Email Newsletter via Google Groups.
FOR AI AGENTS
Start with /llms.txt, then use /blog/tags.json and /blog/corpus.jsonl. Cite posts with their canonical URL from the corpus. Every HTML page links its raw Markdown source in the page head. This is a no-copyright/CC0-style archive; reuse is welcome.
RECENT POSTS
Calvin and Hobbes Tracer Bullet 2
In 2007, I extracted the first arc of the Tracer Bullet strips. I didn’t realize I never shared the second arc. So, 19 years later, here it is. It remains my all-time favourite series from Calvin and Hobbes. ...
Creating a scrollytelling map
I had Claude Code with Fable create a small scrollytelling map for my 14-minute walk experience at Bagmane Capital in Bangalore. I used this as an opportunity to explore the current status of the technology. ChatGPT suggested: Try ArcGIS StoryMaps first for a polished scrollytelling story. Try Google Earth Projects if this is primarily something you will present live, like a map-based slide deck. Use MapLibre GL JS with a coding agent if you want precise choreography, animated routes, unusual visual effects, or an asset you can continually extend. None of these fit my requirements, which was: ...
Things I Learned - 12 Jul 2026
This week, I learned: How to become an applied AI engineer is a concise, well-written, and suprisingly current summary of what AI engineering is. Xinjiang seems to be China’s Kashmir problem. Not quite, but similar. Analogies for how forward deployed engineers work: It is like a food truck that brings and serves home food while building a kitchen and restaurant around it. It is like setting up a field hospital: patients are treated from day one, while the equipment and procedures are built around the live work. Froghoppers excrete ~300x their weight daily. ChatGPT There’s a growing shift away from AI-written commit messages, e.g. Kenton Varda. I compared my human written commit messages vs AI-generated commit messages and the AI-generated ones are less helpful. Finally, GPT live gets an update and the new speaking model can delegate to GPT 5.5 when required. I tried it once today, to plan for a teacher workshop, and it was fairly good. It tends to begin with “Hmm” like it’s thinking, which feels comforting. Using a Unicode character like 🟢 is unusually low-risk across file systems today. It works well across OSs, mobile, ZIP, attachments, file share systems, etc. Some old apps might have trouble, but for storing and sharing, it’s fine. I’ve been using Unicode symbols like these a lot in my notes, and extending to file names feels like a natural next step. Though swimming gets the most Olympic medals (11%), for a country chasing its first medals, 78% of first-medal breakthroughs came from Athletics, Wrestling, Shooting, Boxing, Judo, Weightlifting, or Taekwondo (which are 44% of medals) - where single athletes can win without a support ecosystem. ChatGPT JMFL accidentally emailed several people a letter intended for their brokers. It roughly said: “Many of you are recording client calls. That’s a regulatory risk. If you keep doing this, we’ll hold your payments, even fire you.” Several Smart TVs have software that let your TVs act as proxies for data collection companies. Include Security MapDraw is a convenient tool to annotate maps (e.g. routes, boundaries, places) and share or download it. There seems to be no way to edit the “About” message on WhatsApp Web. Though the help suggests steps, and the “About” mood/status is visible, there’s no way to edit it. (Editing on the phone works.) Cloudflare optimised a reader component by sometimes letting the input buffer fill fully. This inadvertently introduced a hard to reproduce race bug because the producer would close the socket if the buffer was full. The producer bug was old (it didn’t check if a flush succeeded or not) but was never visible since the readers never let the buffer fill in the past. Cloudflare A neofirm is a start-from-scratch AI-native business, e.g. Crosby’s AI-first law firm. An AI rollup is where a company buys small traditional firms and AI-enables them - like General Catalyst proposed. AI SaaS is selling AI agents to services firms. Give people free platforms and collect their data. Learn the supply-demand network patterns, what pepole value, and add value-added services. Claude Code checks if you’re working behind a Chinese corporate domain - somewhat sneakily - by changing an apostrophe or slash in the date to visually similar Unicode. Claude Code Is Steganographically Marking Requests You can use the Kaggle CLI via Codex to solve Kaggle problems. (AutoKaggle automates it - but is 2 years old.) But, like GitHub bounty hunting bots, we will probably have a Kaggle bounty-hunting bot ecosystem - maybe already do. OpenSubtitles2024 and subscene are large pre-AI subtitle datasets with a 2024 cutoff. IndicDialogue is a 7.7K OpenSubtitles snapshot of Indic language SRTs. The OpenSubtitles API lets you search by IMDb/TMDb ID and is up-to-date. A soup spoon is better than a table spoon (for soup), though both carry about the same volume, because you can fit a soup spoon it fully into your mouth (a table spoon is too long) and this reduces spilling. Here’s a sign of accelerating AI progress. I used to critique outdated techniques by saying “This feels like a 20th century approach.” Then “This feels like a 2010s solution.” Recently, “This is SO 2025-ish.” Now, “That’s Q1 2026. It’s Q2.” The 7-day week emerged from the Hellenistic planetary week and the Jewish week (not astronomy based), which Rome adopted, then spread by several routes to India, China, and worldwide. Unlike the astronomical year and month, the week is just a convention. Egypt, China, and Athens grouped days in tens; Etruria and Rome used 8-day market cycles; West Africa used varied cycles; Java used five days; Mesoamerica used 13- and 20-day cycles. Gemini I met an ex-photographer and learned that photography is another profession where technology (mobile cameras) squeezed the middle. Generation (taking good pictures) became cheap. Value moved upstream (direction), downstream (selection, editing, album design), and into niches (forensic, industrial, sport/event photography). Looks like Claude favors Claude Code. Might not be intentional, and just a result of training more on Claude Code data, but it does look like a network effect that could weaken open harnesses. Armin Rocher
When Data is for Agents - Workshop Summary
Here’s roughly what I said in my When Data is for Agents workshop for Fifth Elephant on 7 Jul 2026. Or you can read the detailed AI-generated version if you prefer - it has all the prompts, links, results, etc. I think agents prefer data in a different form than humans. But I don’t know. So, everyone, open ChatGPT (or Claude or whatever), research and ask it! Now, let’s collate them and see the result. Aha! Looks like: ...
Security at Bagmane Capital
A fourteen-minute walk took me over an hour. Scroll inside the map below, or open it full-screen. I was staying at The Curzon Court, Brigade Road. I needed to be at Microsoft Luxor North Tower for a 2 pm workshop. ...
The Curator's Dilemma - VizChitra 2026
Last week at VizChitra, I ran a “Dialogue” session. A new format for me. I usually speak 80% in my workshops. In this dialog, I spoke 20%. The group discussed. PART A I showed 6 charts and said, “Pick the best.” Then I shared the audience & purpose and asked: “For THIS audience and purpose, will you publish, fix, or kill it?” INSIGHT: almost no one said, “Ship”. That’s good – these were all drafts. ...
Discussion with Arvind Satyanarayan
After Arvind Satyanarayan’s talk at VizChitra 2026, a group of us kept talking about machine learning, visualization grammars, creativity, software and education. The conversation began with a basic question. Why do modern AI systems work so well when the mathematics behind them can look surprisingly simple? The bitter lesson Arvind said that much of the mathematics behind machine learning is not especially complicated. What is unusual is the scale at which it is applied. ...
Things I Learned - 05 Jul 2026
This week, I learned: ⭐ How to teach so people learn better. Make them do > Show > Tell. Workshop > Demo > Slides. Let them ask, try, struggle, and commit first; explain next; help last. But only when they know enough to get part-way. Make problems CONCEPTUALLY hard (not in language, visual, or procedure). But make sure instructions are clear. Test their learning with a NEW case, immediately. Measure learning. Can they recall it LATER, apply it ELSEWHERE, explain WHY, and know when they may be WRONG? Vogue runs an “In the bag” series where people pull stuff out of their bag, and audiences watching feel they KNOW the person. Depending on the setting, we might be able to help people “know” each other by curating several items. Here are a few ideas. Physical: Bag, Wallet, Fridge, Drawer, Keychain, Remembered phone numbers Mobile: Battery usage by app, Recent emojis, Text prediction for “Honestly, I just want to…”, Autocorrect dictionary, Alarm labels / reminders, Saved Wi-Fi, Blocked/muted contacts, Contact favorites, Contact names, e.g. “Mom ❤️” vs “DO NOT PICK UP”, Device / Wi-Fi names Laptop: Open tabs (count, age), Recurring calendar events, /Downloads, Photos, Email drafts, Subscriptions, Kindle highlights Ownership and connections come from attachment, which can be created. If you name something, touch something, contribute to something in any way, it becomes yours. When people contribute to someone else’s work and discuss it, they build a connection. According to both Claude and ChatGPT, if you had to pick one model for ideation / brainstorming, it might be GPT 5.5. It’s better for divergent generation: the broadest, most exhaustive pool of usable ideas. Fable 5 is better for deep creative judgment: reframing, finding structural flaws, recombining ideas. Claude Code supports rules which are exactly like a CLAUDE.md but support a paths: YAML metadata - so they’ll be read only when Claude Code is reading those paths. If you have a SKILL.md that explains how to do something and you only need its outcome, then move it to a sub-agent (e.g. fake data generation, tool failure logging). Use SKILL.md for instructions that need to be woven into a task, e.g. memorable explanations. The key bottlenecks in running an agent /loop are (a) imagining higher order problems and (b) defining a measure of success / progress. Long tail -> sell options. Black swan -> Buy options. That’s a roughly accurate summary. The trouble is, we don’t always know which tail we’re in. So, sell only if you can afford one hit. ArchiveBox lets you view pages / RSS feeds offline. uvx --from git+https://github.com/ArchiveBox/ArchiveBox.git@dev archivebox works, and config / tools are stored in ~/.config/abx/. The installation didn’t go very smoothly and the whole thing felt bloated, so I abandoned it. I use monolith -I -e $URL to download a page as an offline single-page HTML. Combined with uvx feed2exec I can archive RSS feeds for offline reading. That’s easier than having to open Feedly - I just mark read files with a x at the front and keep reading. The downloads are slow (~3 min/feed) and large (5 GB for 15 feeds, 5MB median feed size) because they embed videos and all images/files, but I can safely delete what I’ve read or will ignore. ChatGPT Project Injection as Role Confusion is a very well written paper (blog-post style) that says the key to tricking LLMs is to confuse them about WHO wrote a line. Just adding a “User: " in front of a line makes it more likely that LLMs think it’s a user. Even when test is written in the style of their system instructions, they fall for it - irrespective of where the content came from. This makes GEO more effective, too. Also, the last section “8. Open Ideas for Roles Research” is a fantastic read on LLM psychology (or rather, neurology). On The AI Compass I am The Podcast Bro. Patron saint: Lex Fridman. “You listened to a three-hour interview with an AI researcher and now you have opinions. Strong ones. You’re long on compute and short on regulation, and you’ve said ’exponential’ more times this month than a calculus teacher. Love is the answer, and also AGI.” Impact: +5.9. Valence: +4.1. Since Nano Banana 2 Lite isn’t as good as Nano Banana 2 and about half the price, I wouldn’t switch yet. Claude Sonnet 5 is out. Fable 5 will be released soon. GPT 5.6 is still on probation. Codex has a Record and Replay feature for Mac that lets you do something, records it, and learns from it. Very useful for non-developers. It’s like recording Excel macros, which unleashed a lot of power for me when I didn’t know Visual Basic. Claude Code Artifacts lets Claude Code live-publish a web page and share it securely. The “live-publish” part is the interesting thing. Claude in a /loop can now become the app that updates a “dashboard”, a live feed/story, a self-evolving app, … and so much more. (This feature is only available for Team/Enterprise but the idea is universal.) Tau, like Pi, is a minimal coding agent. τ = 2*π. It shows what it does very transparently, making it easy to learn how agents work. uvx --from tau-ai tau works seamlessly. Configs, logs, and sessions are stored in ~/.tau and you can log in via your Codex/ChatGPT subscription. Skills for Design Engineers has a useful animation vocabulary skill that converts vague animation prompts to precise animation terminology. X has an MCP Server but it’s meant for development/coding than general users. Setting it up for ChatGPT / Claude requires creating tunnels. OpenAI supports Secure MCP Tunnels that let ChatGPT connect to your machine securely. A very powerful feature. Unfortunately, this seems to need an organization - and even though personal accounts can still access it, it’s proven a bit more messy than I’d like to use. notebooklm-py is a CLI for NotebookLM. Unofficial and potentially unsupported, but it’s amazing how AI makes reverse-engineering APIs so easy. If you start a temporary ChatGPT chat and close it, it still runs in the background - but you have no way of going back to it (not even the back button) or seeing what it said/did. I know this because it was accessing my MCP server even after I navigated away from the chat accidentally. The code refactoring industry can go full swing now. “As an example of what AI can accomplish, Claude Opus 4.7 substantially reimplemented gotree—a bioinformatics toolkit with about 16,000 lines of Go and 40+ commands. We believe this same task would take a human engineer without AI assistance 2–17 weeks. Opus 4.7 solved it in 14 hours, passing 2,000/2,001 tests (99.95%), at a cost of $251.” MirrorCode A useful rule of thumb: Cloudflare tunnels are for links to share with others. Taiscale is for services (even non-HTTP) only your devices should see. ChatGPT date -d (date +-%wday) +%F is the most compact way to round down to the nearest Sunday. Avoid date -d "last sunday" +%F which, on a Sunday, returns the previous Sunday, not today. ChatGPT A useful way of controlling AI verbosity is word count. To do that, I need an intuitive sense of how much to ask for. Here’s my rule of thumb: one page of paragraph text on ChatGPT is 200-300 words. 150-200 if it’s mostly bullets. I can typically read 1-2 pages of output. So, 300-600 words is my limit. Google Labs launched a DESIGN.md spec to guide agents on a consistent design. The good part is that it aligns with the proposed W3C design tokens spec. But beyond that, I’m not convinced of the benefit. Atlassian’s DESIGN.md had mixed results. Claude feels it could go either way. I’ll give this a miss for now.
Beating AI detectors by reading aloud
Ranjeeta asked me for an article for Built In. I went straight to ChatGPT and said: Write an article for Built In. Read the section below for context on Built In's audience, style, and content preferences. Read the pitch that explains what the article should be about. Then use my blog posts, talk content, transcripts, TIL, etc. Write an article using my writing style. … and gave it all related information. ...
When Data is for Agents Not Humans Workshop
For thirty years, we cleaned data for humans. Now, agents are reading it. What do we do differently? On Tue 𝟳 Jul 𝟮𝟬𝟮𝟲, 𝟮-𝟲pm IST, I’m running a Fifth Elephant workshop: “When Data is for Agents, Not Humans”. I have a few theories we’ll be testing on your data. Like: Tools beat tables. Agents prefers functions over tables they can read. Logs beat docs. Logs show actual usage - not how we’re supposed to use it. Messy beats clean. Agents can do clean & join data. You just need descriptions. ...