ramchiranjeevi

[Rahul @sairahul1]

Anthropic's CEO, Dario Amodei:

"50% of all entry-level Lawyers, Consultants, and Finance Professionals will be completely wiped out within the next 1–5 years."

In 47 minutes, he explains exactly who survives and how.

This is the whole difference between watching AI take your industry and becoming the person companies desperately need.

Watch it. Then read the guide below on how to become the "AI guy" these companies need.

[Ajit Doval ᴾᵃʳᵒᵈʸ🇮🇳 @IAjitDoval_IND]

Vande Bharat on the lower deck. Vehicles moving above. A single bridge carrying two journeys at once.

Did anyone imagine India’s Tier 2 cities witnessing infrastructure of this scale?

This is the New India that’s being built. 🇮🇳

[Compounding Quality @QCompounding]

“Read 500 pages every day. That’s how knowledge works. It builds up, like compound interest. All of you can do it, but I guarantee not many of you will do it.” - Warren Buffett

[முத்து @muthuhere3]

Not enough water for drinking purpise.

Not enough water for Agriculture.

Inflation

Economic crisis.

These jobless youths of Tamilnadu are still running behind cine actors.

[ramchiranjeevi @ramchiranjeevi]

https://t.co/TQ7acG7oVN

[Kiran Mazumdar-Shaw @kiranshaw]

The best decision that will deliver the desired objectives @nandannilekani

[Prakash Dadlani @prakdadlani]

I always look for opportunity.
Even in national unrest, the macro picture is clear:

Bharat’s economic growth is unstoppable. 📈

But on the ground, a massive generational talent divide is forming.

On one side: A youth that is hyper-talented, curious, deeply rooted in culture and values and hungry to rise. They are the ones who will scale our manufacturing and technology.

On the other side: A rising section permanently trapped in digital rage, dopamine addicted, disconnected from culture, and heritage. They want the rewards without an honest day’s work.

There is already a massive shortage of serious, focused youth. As the noise grows, that skill gap will only widen.

The premium on youth who can put their heads down and execute has never been higher.

Work hard. Skill up.

The future belongs to those who build💪🏽🇮🇳

[Jensen Huang @JensenHuang]

For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.

AI will transform every industry, power every company, and be built by every country.

Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.

The world needs both frontier closed models and frontier open models.

https://t.co/AUKzoQ5Ikb

[Andrej Karpathy @karpathy]

LLM Knowledge Bases

Something I'm finding very useful recently: using LLMs to build personal knowledge bases for various topics of research interest. In this way, a large fraction of my recent token throughput is going less into manipulating code, and more into manipulating knowledge (stored as markdown and images). The latest LLMs are quite good at it. So:

Data ingest:
I index source documents (articles, papers, repos, datasets, images, etc.) into a raw/ directory, then I use an LLM to incrementally "compile" a wiki, which is just a collection of .md files in a directory structure. The wiki includes summaries of all the data in raw/, backlinks, and then it categorizes data into concepts, writes articles for them, and links them all. To convert web articles into .md files I like to use the Obsidian Web Clipper extension, and then I also use a hotkey to download all the related images to local so that my LLM can easily reference them.

IDE:
I use Obsidian as the IDE "frontend" where I can view the raw data, the the compiled wiki, and the derived visualizations. Important to note that the LLM writes and maintains all of the data of the wiki, I rarely touch it directly. I've played with a few Obsidian plugins to render and view data in other ways (e.g. Marp for slides).

Q&A:
Where things get interesting is that once your wiki is big enough (e.g. mine on some recent research is ~100 articles and ~400K words), you can ask your LLM agent all kinds of complex questions against the wiki, and it will go off, research the answers, etc. I thought I had to reach for fancy RAG, but the LLM has been pretty good about auto-maintaining index files and brief summaries of all the documents and it reads all the important related data fairly easily at this ~small scale.

Output:
Instead of getting answers in text/terminal, I like to have it render markdown files for me, or slide shows (Marp format), or matplotlib images, all of which I then view again in Obsidian. You can imagine many other visual output formats depending on the query. Often, I end up "filing" the outputs back into the wiki to enhance it for further queries. So my own explorations and queries always "add up" in the knowledge base.

Linting:
I've run some LLM "health checks" over the wiki to e.g. find inconsistent data, impute missing data (with web searchers), find interesting connections for new article candidates, etc., to incrementally clean up the wiki and enhance its overall data integrity. The LLMs are quite good at suggesting further questions to ask and look into.

Extra tools:
I find myself developing additional tools to process the data, e.g. I vibe coded a small and naive search engine over the wiki, which I both use directly (in a web ui), but more often I want to hand it off to an LLM via CLI as a tool for larger queries.

Further explorations:
As the repo grows, the natural desire is to also think about synthetic data generation + finetuning to have your LLM "know" the data in its weights instead of just context windows.

TLDR: raw data from a given number of sources is collected, then compiled by an LLM into a .md wiki, then operated on by various CLIs by the LLM to do Q&A and to incrementally enhance the wiki, and all of it viewable in Obsidian. You rarely ever write or edit the wiki manually, it's the domain of the LLM. I think there is room here for an incredible new product instead of a hacky collection of scripts.

[ramchiranjeevi @ramchiranjeevi]

https://t.co/NrvGCGwGb6 - Comprehension Debt - the hidden cost of AI generated code. by @addyosmani

[Raju Vegesna @rajuv]

We’re introducing new AI-powered capabilities in Zoho Sign, our electronic signature platform. We’ve discussed more details here.

https://t.co/or095EVOPn

[ramchiranjeevi @ramchiranjeevi]

Zoho: Made in India — The Inside Story https://t.co/1qweQsv98F via @YouTube

[Sridhar Vembu @svembu]

On the topic of privacy, there are three distinct cases I want to address:

1. The secret lover case

2. The violation we feel when a company uses our personal data to show ads to us

3. The secret rebel case

The secret lover case also applies to org trade secrets and confidential data but "secret lover" is more catchy 😁

We work hard to ensure your privacy in case 1. Our tech stack and product are designed with this as a major goal.

Let me come to case 2. By taking a vow to not use your data to try to sell you stuff, we protect you from that sense of distaste or violation. Our strong stand also ensures that corporate confidential data or trade secrets do not get leaked to those ad-related data mining systems.

The secret rebel case is subject to the laws of the nations we operate in. Any company operating in a jurisdiction promising to protect a secret rebel against their own government is making a false promise. Sovereign power always prevails over mere companies. Whether it is Google or Apple, when they operate in India, they have to comply with Indian law and likewise Zoho has to comply with US law when operating in America.

So while secret rebels can communicate like secret lovers do, secret rebels cannot expect courts to affirm their right to plot against their government.

Our stand has been consistent on this matter. I have said these in our Zoholics events in many locations around the world for well over a decade.

[Amit Shah @AmitShah]

Hello everyone,

I have switched to Zoho Mail. Kindly note the change in my email address.

My new email address is amitshah.bjp @ https://t.co/32C314L8Ct. For future correspondence via mail, kindly use this address.

Thank you for your kind attention to this matter.

[Sridhar Vembu @svembu]

Thank you Sir, for your faith in us🙏

I dedicate this moment to our hard working engineers who have toiled hard in Zoho for over 20 years.

They all stayed in India and worked all these years because they believed. Their faith is vindicated. Jai Hind, Jai Bharat🙏

[Zoho WorkDrive @ZohoWorkDrive]

We’re grateful for all the love for @ZohoWriter, @ZohoSheet & @ZohoShow!

With Zoho WorkDrive, you can do much more than just store files. It helps you work smarter than ever.🙌

Here’s a quick snapshot of the wide range of capabilities WorkDrive offers👇

https://t.co/nwMAj7gsAA

[anand mahindra @anandmahindra]

Downloaded @Arattai today…

With pride.

[ramchiranjeevi @ramchiranjeevi]

TVK STAMPEDE 😭|#shorts #trending #youtubeshorts https://t.co/kwxLU0035b via @YouTube

[Dr Sudhir Kumar MD DM @hyderabaddoctor]

🧠 12 Pillars of Optimum Brain Health

1️⃣ Blood pressure <120/80 mmHg
2️⃣ HbA1c <5.7% (good sugar control)
3️⃣ Healthy lipid profile
4️⃣ Normal waist size (no central obesity)
5️⃣ Balanced, brain-friendly diet (fruits, veggies, whole grains, omega-3s)
6️⃣ No alcohol
7️⃣ No smoking
8️⃣ Regular exercise: Aerobic + strength training
9️⃣ 7–9 hours of quality sleep
🔟 Stress under control (not interfering with daily life)
1⃣1⃣Strong social connections
1️⃣2⃣ A purposeful, meaningful life

Healthy brain = Healthy life. Start today.

Dr Sudhir Kumar MD DM 23-09-2025

[Knowledge & History @xKnowledgeBANK]

Life skills by age