Balaji Anbil

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Balaji Anbil

Balaji Anbil

@bajisden

Digging deep | CEO @TenaciumDC | CCISO | JEDAI secure data/AI • Defence-grade takes tenacity! nextgen builders → https://t.co/lNb2In2kNY 🔍

Stockport, England Katılım Ağustos 2009
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Balaji Anbil
Balaji Anbil@bajisden·
@KonstantinKisin Definitely will listen to this - accepting the premise, would the western countries have been the darling “tolerance” spreading states, if it was not for the so called liberals who keep pushing the conscience often? I totally get that at times they have gone too far left…
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Konstantin Kisin
Konstantin Kisin@KonstantinKisin·
What if the west isn't the villain they told you it was? We’ve spent years accepting accusations about racism, intolerance, and slavery without challenging the bigger historical reality: The societies most condemned today are also the ones that led the world in ending slavery, expanding rights, and building the most tolerant nations on earth. That’s the conversation nobody wants to have.
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Alfie Carter
Alfie Carter@AlfieJCarter·
Claude For Small Business is INSANE. I've built a complete breakdown of all 31 Anthropic Small Business skills that maps every workflow, connector, and automation in under 10 minutes. The same skill stack that had 382,000 downloads on its first day. Financial operations, sales and client work, HR and hiring, marketing and growth, reporting and dashboards. Inside the breakdown: - All 31 skills organised by function with the 5 to run first - The 12 connector setup guide in priority order with permission settings for every sensitive action - Worked examples for Business Pulse, Invoice Chase, and Job Post Builder with real output shown Want a copy? Like + Comment "31" and I'll send it over ASAP (Must be following)
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Ministry of Information and Broadcasting
N. Swaminathan, eminent artist and head of the Thevara Padasalai of Dharumapuram Aadheenam, will be honoured with the Padma Shri for his exceptional contribution to Tamil Pann Isai, traditional Thirumurai hymns, and the preservation of ancient musical discourses. Celebrated as a supreme artist and 'A' grade All India Radio performer with an artistic journey spanning over 55 years, he has dedicated his life to carrying Tamil devotional music to global audiences across continents and releasing over 100 albums. He is deeply revered for his commitment to oral traditions, training generation after generation of students in the fine art of Thirumurai Isai at the grassroots level. #PeoplesPadma #PadmaAwards2026 @HMOIndia @PadmaAwards @MinOfCultureGoI @pibchennai @airchennai
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Bojan Tunguz
Bojan Tunguz@tunguz·
Try to build as much code as possible over the next few months. The prices you are seeing now for AI will probably not last too long.
Hedgie@HedgieMarkets

🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products. My Take The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested. This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown. Hedgie🤗

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Srivaishnava
Srivaishnava@Srivaishnava·
adiyEn has started writing Azhvars life history in Tamil, in a story like fashion using some imagined dialogs, some fill in the gap events, etc. without exceeding sampradayic limits. I am hosting the entire work on the pratilipi platform at: tamil.pratilipi.com/series/aazhvaa… If you add the book to your collection and follow the author (app works best) you will be able to read as new chapter is added. If you find it interesting, please leave a Rating and a Comment. And also share the link with others who will be interested in reading. aDiyEn madhurakavi dAsan TCA Venkatesan
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Brivael Le Pogam
Brivael Le Pogam@brivael·
Je veux présenter mes excuses, au nom des Français, pour avoir enfanté la French Theory (qui a enfanté la pire des merdes idéologiques : le wokisme). Nous avons donné au monde Descartes, Pascal, Tocqueville. Et puis, dans les ruines intellectuelles de l'après-68, nous avons donné Foucault, Derrida, Deleuze. Trois hommes brillants qui ont fabriqué, dans l'élégance de notre langue, l'arme idéologique qui paralyse aujourd'hui l'Occident. Il faut comprendre ce qu'ils ont fait. Foucault a enseigné que la vérité n'existe pas, qu'il n'y a que des rapports de pouvoir déguisés en savoir. Que la science, la raison, la justice, l'institution médicale, l'école, la prison, la sexualité, tout n'est qu'une mise en scène de la domination. Derrida a enseigné que les textes n'ont pas de sens stable, que tout signifiant glisse, que toute lecture est une trahison, que l'auteur est mort et que le lecteur règne. Deleuze a enseigné qu'il fallait préférer le rhizome à l'arbre, le nomade au sédentaire, le désir à la loi, le devenir à l'être, la différence à l'identité. Pris isolément, ce sont des thèses discutables. Combinées, exportées, vulgarisées, elles forment un système. Et ce système est un poison. Car voici ce qui s'est passé. Ces textes, illisibles en France, ont traversé l'Atlantique. Les départements de Yale, de Berkeley, de Columbia les ont absorbés dans les années 80. Ils y ont trouvé un terreau qui n'existait pas chez nous : le puritanisme américain, sa culpabilité raciale, son obsession identitaire. La French Theory s'est mariée à ce substrat, et l'enfant de ce mariage s'appelle le wokisme. Judith Butler lit Foucault et invente le genre performatif. Edward Said lit Foucault et invente le post-colonialisme académique. Kimberlé Crenshaw hérite du cadre et invente l'intersectionnalité. À chaque étape, la matrice est française : il n'y a pas de vérité, il n'y a que du pouvoir, donc toute hiérarchie est suspecte, toute institution est oppressive, toute norme est violence, toute identité est construite donc négociable, toute majorité est coupable. Voilà comment trois philosophes parisiens, qui n'ont probablement jamais imaginé leurs conséquences pratiques, ont fourni le logiciel d'exploitation à une génération entière d'activistes, de bureaucrates universitaires, de DRH, de journalistes, de législateurs. Voilà comment on a obtenu une civilisation qui ne sait plus dire si une femme est une femme, si sa propre histoire mérite d'être défendue, si le mérite existe, si la vérité se distingue de l'opinion. C'est de la merde pour une raison simple, et il faut la dire calmement. Une civilisation se tient debout sur trois piliers : la croyance qu'il existe une vérité accessible à la raison, la croyance qu'il existe un bien distinct du mal, la croyance qu'il existe un héritage à transmettre. La French Theory a entrepris de dynamiter les trois. Pas par méchanceté. Par jeu intellectuel, par fascination du soupçon, par haine de la bourgeoisie qui les avait nourris. Mais le résultat est là. Une génération entière a appris à déconstruire et n'a jamais appris à construire. Une génération entière sait soupçonner et ne sait plus admirer. Une génération entière voit le pouvoir partout et la beauté nulle part. Je m'excuse parce que nous, Français, avons une responsabilité particulière. C'est notre langue, nos universités, nos éditeurs, notre prestige qui ont donné à ce nihilisme son emballage chic. Sans la légitimité de la Sorbonne et de Vincennes, ces idées n'auraient jamais traversé l'océan. Nous avons exporté le doute comme d'autres exportent des armes. Ce qui se construit maintenant, en silicon valley, dans les labos d'IA, dans les startups, dans les ateliers, dans tous les lieux où des gens fabriquent encore des choses au lieu de les déconstruire, c'est la réponse. Une civilisation se reconstruit par les bâtisseurs, pas par les commentateurs. Par ceux qui croient que la vérité existe et qu'elle vaut qu'on s'y consacre. Par ceux qui assument une hiérarchie du beau, du vrai, du bon, et qui n'ont pas honte de la transmettre. Alors pardon. Et au travail.
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Balaji Anbil
Balaji Anbil@bajisden·
@jayasartn What a brilliant riposte! That too connecting many dimensions with just two effective counters! Hats off mam 🙇🏽‍♂️🙏
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Jayasree Saranathan
Jayasree Saranathan@jayasartn·
சனாதனம் என்றால் என்ன? அது ஒழிக்கப்பட வேண்டியதா? அது ஜாதி பேதத்தை ஊக்குவிக்கிறதா? அது பெண்களை உடன் கட்டை ஏறச் சொல்கிறதா? இப்படிப்பட்ட கேள்விகளுக்கு இந்தப் பேச்சில் நான் விடை தருகிறேன். பார்க்கவும். பகிரவும். youtu.be/wTOiN9PeYIk?si…
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Balaji Anbil
Balaji Anbil@bajisden·
Starting a new series: Unique perspectives on Dynamic trust, Federated AI economy, AI exposure, Ethical deployment before harm etc. Just Enough: Architecture for the AI Age open.substack.com/pub/balajianbi…
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Balaji Anbil
Balaji Anbil@bajisden·
@karpathy Interesting I have been generating this HTML and JSX for a while now! Quite pleased that I had one idea ahead of some the brilliant minds 😬
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Andrej Karpathy
Andrej Karpathy@karpathy·
This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc. More generally, imo audio is the human-preferred input to AIs but vision (images/animations/video) is the preferred output from them. Around a ~third of our brains are a massively parallel processor dedicated to vision, it is the 10-lane superhighway of information into brain. As AI improves, I think we'll see a progression that takes advantage: 1) raw text (hard/effortful to read) 2) markdown (bold, italic, headings, tables, a bit easier on the eyes) <-- current default 3) HTML (still procedural with underlying code, but a lot more flexibility on the graphics, layout, even interactivity) <-- early but forming new good default ...4,5,6,... n) interactive neural videos/simulations Imo the extrapolation (though the technology doesn't exist just yet) ends in some kind of interactive videos generated directly by a diffusion neural net. Many open questions as to how exact/procedural "Software 1.0" artifacts (e.g. interactive simulations) may be woven together with neural artifacts (diffusion grids), but generally something in the direction of the recently viral x.com/zan2434/status… There are also improvements necessary and pending at the input. Audio nor text nor video alone are not enough, e.g. I feel a need to point/gesture to things on the screen, similar to all the things you would do with a person physically next to you and your computer screen. TLDR The input/output mind meld between humans and AIs is ongoing and there is a lot of work to do and significant progress to be made, way before jumping all the way into neuralink-esque BCIs and all that. For what's worth exploring at the current stage, hot tip try ask for HTML.
Thariq@trq212

x.com/i/article/2052…

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Zecheng Zhang
Zecheng Zhang@zechengzh·
Introducing Mirage, a unified virtual filesystem for AI agents! 6 weeks. 1.1M+ lines of code. We rewrote bash from the ground up so cat, grep, head, and pipes work across heterogeneous services. S3, Google Drive, Slack, Gmail, GitHub, Linear, Notion, Postgres, MongoDB, SSH, and more, all mounted side-by-side as one filesystem. Bash that AI agents already know works on every format! cat, grep, head, and wc parse .parquet, .csv, .json, .h5, even .wav! One pipe can stitch S3, Drive, GitHub, Slack, and Linear together, same Unix semantics throughout. Workspaces are versioned too. Snapshot, clone, and roll back the whole thing with one API call. A two-layer cache turns repeated reads into local lookups, so agent loops stay fast and cheap. Drop a Workspace into FastAPI, Express, or a browser app. Wire it into OpenAI Agents SDK, Vercel AI SDK, LangChain, Mastra, or Pi. Run it alongside Claude Code and Codex. Site: strukto.ai/mirage GitHub: github.com/strukto-ai/mir… #AIAgents #OpenSource #AgenticAI #Strukto #Filesystem #VFS
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Balaji Anbil
Balaji Anbil@bajisden·
Separating signal from noise, and why it took me two decades longer than it should have. Unwrapping my learning those who may benefit from it… The Uninvited Student Learns to Discern open.substack.com/pub/balajianbi…
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Alfie Carter
Alfie Carter@AlfieJCarter·
I just built a Claude Code stack that writes, approves, and publishes your LinkedIn posts from a single Sunday session every week. Feed it your profile context, your hook library, and a topic or script → it studies your voice, your best-performing formats, and your photo folder → generates three draft options matched to the right image and scheduled to LinkedIn while you pick the best angle. All inside Claude Code and Playwright MCP. Perfect for GTM engineers and founders who are still writing posts from scratch every week, spending an hour editing AI drafts that sound nothing like them, and manually uploading content to LinkedIn one post at a time. If you're posting on LinkedIn in 2026, you already know the math - the accounts that build pipeline aren't the ones with the best single post, they're the ones publishing consistently in a voice that sounds genuinely human every week. Most people ship two posts a week if they're lucky. This stack solves it: → profile.md gives Claude permanent context about your voice, your stories, your professional background, and your ICP so every post reads like you wrote it from session one → hooks.md gives Claude a curated library of proven formats, specific concrete examples, and a no-go list of overused openers so Claude never produces the lines saturating your space → Three draft options generated per topic so you pick the best angle not the only one - posts come out at 70-80% quality out of the box and 5 minutes of editing gets them to publishable → Descriptive photo filenames let Claude read the folder, match each post to the right image by feeling and vibe, and recommend the photo without reading the actual image → Playwright MCP opens LinkedIn, pastes the post, uploads the photo, handles resizing if the file is too large, and schedules at your default posting time without you touching the platform → One hour on Sunday produces and schedules a full week of posts so Monday through Friday runs without you opening LinkedIn once No writing posts from scratch every week. No spending an hour editing AI drafts that sound nothing like you. No manually uploading and scheduling content one post at a time. What you get: - profile.md template: the exact structure that gives Claude permanent voice and professional context so every session starts already knowing who you are - hooks.md file: proven format library, concrete examples, and no-go list built for your specific space - Full skill file: three draft generation, review and approval flow, and photo matching in one run - Playwright MCP setup: the exact configuration that publishes and schedules directly to LinkedIn without you touching the platform - One skill you install once and run every week forever Built 100% in Claude Code and Playwright MCP. I put together a full playbook with the skill file, the profile.md template, the hooks.md structure, and the exact Playwright MCP configuration to get a full week of posts written, approved, and scheduled from one Sunday session. Want it for free? > Like this post > Comment "SKILL" And I'll send it over (must be following so I can DM)
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Balaji Anbil
Balaji Anbil@bajisden·
@karpathy With deep respect for your exchange, the Vedic & Vedantic traditions reached a very similar conclusion over 3,000 years ago. They described thinking and understanding as inseparably intertwined within the antaḥkaraṇa (“inner instrument”): four functional modes of one mind. Manas → doubting, considering options Buddhi → deciding, judging Ahaṅkāra → “I”-maker & identity Citta  → memory & impressions They operate in constant interplay: Senses → Manas (asks) → Citta (remembers) → Buddhi (decides) → Ahaṅkāra (owns) → response. In short: Manas = asks Citta = remembers Buddhi = decides Ahaṅkāra = owns This ancient framework not only explains why you cannot outsource one without the other, but also offers a powerful model for designing AI architectures one that integrates these functions as a holistic, interconnected subtle system rather than separable modules. (Advaita: functions of the empirical self; Viśiṣṭādvaita: real instruments of the jīva.) This feels remarkably relevant to today’s AI conversation. Thank you 🙏
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Grady Booch
Grady Booch@Grady_Booch·
A cute aphorism, suitable for the feel-good, zero calorie, and forgettable Chicken Soup for the Soul series. But, respectfully, Andrej, I disagree: in the sapient mind thinking and understanding are so ineffably wrapped up with one another that I find it strange that you accept the separation of the two.
Andrej Karpathy@karpathy

This is the the quote I've been citing a lot recently.

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భరణి
భరణి@s_vanam·
Do you know who started Nuclear Physics department in #AndhraUniversity. A saint who did his tapsya for 10 years in Himalayas and was asked by his guru to go study Physics. Studied in Germany, Published wide variety of books across physics, Vedanta , Nuclear physics
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Balaji Anbil
Balaji Anbil@bajisden·
Congratulations @jayasartn on your epic new book. A rare blend of razor-sharp researcher + unbreakable resilience. Her knowledge across astronomy, geology, Tamil, Sanskrit & more is truly awe-inspiring. A true karma yogi who’s faced tough criticism head-on and still delivers.
Jayasree Saranathan@jayasartn

"Ramayana 5114 BCE" — Now available as a single-volume, hardbound collector’s edition.  7,000 years of forgotten history. 1,000 pages of evidence. One timeless gift for your clients and associates. Make your corporate gifting meaningful. Gift them India’s real history.  Write to jayasreebooks@gmail.com to place the order. #Ramayana

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Rima Sarkar
Rima Sarkar@_RimaSarkar·
Why is Indian sugarcane so sweet? If you’ve ever enjoyed a glass of fresh cane juice, you have Janaki Ammal to thank! 🔹️ In the 1930s, India had to import sweeter cane from Java. Janaki Ammal, a brilliant scientist at a time, used her knowledge of plant cells to create a made-in-India hybrid that was both sweet and hardy enough to grow in our climate. 🔹️​The Cytogenetic Pioneer: She was the first Indian woman to earn a PhD in Botany (University of Michigan, 1931). She literally mapped the genetic DNA of thousands of Indian plants. 🔹️​Economic Independence: Her work at the Sugarcane Breeding Institute in Coimbatore helped India become self-sufficient in sugar production, a massive boost for the post-independence economy. 🔹️​The Guardian of the Rainforest: Later in life, she turned to conservation. Her scientific authority was the backbone of the Save Silent Valley movement, protecting one of India’s most ancient rainforests from being submerged by a dam. 🔹️​Janaki Ammal lived a life of pure scientific devotion. There is a beautiful white flower bred in London named after her: the Magnolia kobus Janaki Ammal. This summer, when you drink a cold, sweet, satisfying glass of sugarcane juice, remember the name: Edavalath Kakkat Janaki Ammal.
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Parimal
Parimal@Fintech03·
People often think the Raman Effect was a Eureka moment in a single afternoon. In reality, it was a grueling endurance test. Kariamanikkam Srinivasa Krishnan (1898-1961) was the person who sat in the darkroom of the IACS (Kolkata) for months. He painstakingly purified & tested 65 different dust-free liquids to see if they all showed the same feeble fluorescence (the early name for the Raman Effect). Krishnan kept a detailed research diary. Entries from early 1928 show that he was the one who 1st clearly observed that the new radiation was polarized, a key technical proof that it was not just ordinary fluorescence. Raman himself later wrote that if the Nobel had been awarded only for the work of 1928, Krishnan would have justly shared the prize. Later in his career, Krishnan moved to Crystal Magnetism. He wanted to measure the magnetic anisotropy (how a crystal's magnetic properties change based on its orientation) of tiny organic crystals. In the 1930s, there was no sophisticated equipment for this. He developed the Critical Torque Method. Using simple materials, famously described by colleagues as sealing wax & string, he suspended crystals from fine quartz fibers & measured their rotation in a magnetic field. This method was so precise that it allowed him to calculate the orientation of molecules inside a crystal before X-ray crystallography became common. It remains a foundational technique in magnetochemistry today. Yrs before Claude Shannon (the father of Information Theory) published his famous Sampling Theorem in 1948, K.S. Krishnan had already derived a similar mathematical concept in the context of physics. In elite scientific circles, Krishnan is regarded as 1 of the few Complete Physicists, someone who was equally brilliant at complex mathematical theory & dirty-hands experimental work. When the NPL was being built in Delhi, the architects planned to cut down several old trees to make way for the massive building. Krishnan refused. He personally intervened to redraw the architectural plans so that the trees could be saved. He believed that symmetry is achieved by harmonious addition, not by destruction. To this day, the NPL campus is 1 of the greenest scientific spots in Delhi because of his stubborn love for nature. In 1958, when India established the Shanti Swarup Bhatnagar Prize (the Indian Nobel), K.S. Krishnan was the very 1st recipient. He was also elected a Fellow of the Royal Society (FRS) in 1940, yet he remained so modest that he preferred people just call him KSK.
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