Coded Virus

@artyomvnsv @icanvardar YESSS!! they are solving coding first then they will go after all industries

@icanvardar AI is transforming finance, manufacturing, and many other sectors. It's just more noticeable in software because of all the loud voices on Twitter and Reddit.

ai isn't truly transforming any sector outside of software

@jonallie yes...LLM's are much more than coding.

Personal rule of thumb: don't use an LLM for something that a deterministic program can do. I get it, LLMs are exciting, but they don't mean that software ceases to exist. They are fantastic at dealing with human language and ambiguity, but are terrible (by design and for good reason) at repeatability. To borrow terminology from the book Thinking Fast and Slow, LLMs are "system 2"...slower, more "expensive" (for LLMs, both in time and dollars), but flexible and creative. Traditional programs are "system 1" ..fast and cheap, but inflexible and dumb. Instead of trying to put an LLM in the "hot loop" of your program, it's usually worth asking an agent to write a deterministic program to do the thing you need done. Since code is "cheap", this deterministic tool can do exactly what you want it to, and doesn't consume tokens on every execution. (This applies to agents too..I find myself regularly yelling at Claude to stop repeatedly generating the same 30 lines of python to inspect a file, and instead telling it to generate a 3-line shell script wrapper around jq that it can check in and call repeatedly)

@imnottanmay @protosphinx Says a person who has not touched google sheets

@protosphinx "I have built a better Excel, why won't people buy it?"

It’s a rookie mistake to assume product = distribution. Oracle has ~30k salespeople and a 10x partner network. Its annual spend on marketing/partners exceeds the GDP of small countries. Even if you raised a trillion dollars to sell they can't switch overnight EVEN IF THEY WANTED TO. Buying takes months. Going live takes time not because you can’t code fast, but because every department and every employee must be trained before you go live. Even if it’s some 'AI MAGIC JUST TYPE HERE' system, it still requires training. 10hrs of training for this new magical erp × 10k employees = 100k hours x $50/hour = $5mn in lost productivity. Who pays for that ? AI can’t solve this. As long as humans run ops they will avoid disruption - so most large companies on one stack will continue to stay on that stack.

@teodorio Chatgpt

Why has AI psychosis affected primarily high level executives? Is it because they have no easy way to empirically see the limitations?

@paakittadnya What ?

@CodedVirus1 There is nothing to understand. It is just a fantasy of a history buff.

One died due to treachery at 32, The other died to PTSD induced illness at 40. Had fate been kinder to them, Marathi would have been the lingua franca of India. Do you agree?

@paakittadnya Also I feel... Language thing kept them local... This guys need pan India recognition. Ps. From the deep south famile ...have shivaji statue at home .there

@paakittadnya Yes. Most just can't understand it!

@Brahmachaaari @wordi25 I have / had three friends from that company. The amount they used to spend showing off ...kabhi samja nahi. I literally had to ask karta kya hai...SAP installation was the answer. Their data centers are very good. Tbh

@wordi25 True, but if you are working in Global companies like Oracle for that long, you have had made enough to make a decent life even in case of uncertainty.

Financial security is one thing. But at 45 you have significant responsibilities, children, maybe home mortgage, maybe dependent parents. Not to mention that when so many are fired, the job market gets incredibly competitive. Empathy for people going through tough time is ok.

@IconicWooyoung If very serious...ai studio also. That's where u can actually control and learn

@CodedVirus1 Kaunse app se kiya bhaiya

Have you filed your taxes using AI? Experts maybe still needed. But this handles 90% of the cases. I have seen the power first hand. Tax returns. Complex agreements. Notices. Upload document and get advice instantly. It’s just magic.

@VishalBhargava5 Even western lines have such Stories. Also Nariman Point...is the only place in india....where people keep their office ids inside ...and u next guy eating sandwich just own 10kcr company

Few months back was travelling in the Mumbai Metro. A familiar looking man entered. He recognised me but didn't know my name. "I've seen you on TV. What you doing in a Metro?" - he asked I replied. "Using the Metro is part of my work." I added "I've seen you on TV too. How come you in a Metro?" He countered "Running late. So using the Metro to get get to work." We speak a little more and then I depart the Metro. Yesterday while seeing CNBC - saw him. Runs a company worth ₹14,000 crore. That's the true success of Metro transport: Saves Time with Full Convenience.

@IconicWooyoung Make sure no fast🤣

@IconicWooyoung Chatgpt...don't.. claude don't. Gemini...and cross check with google ai mode

@GabbbarSingh infact...i also corrected the mistake and paid fine which my regular guy messaged up. There wast LTGC and STCG also

@GabbbarSingh yes... i did it last year. this year itt has become too easy.

@Iyervval the other person might have actaully suggested ....lets cross the road.. and then stopped. i make it very clear...u cross ur and i will cross as per me

Nothing “shocking”. Not the car drivers fault. The person accompanying her correctly gauged the speed of the car and stopped. This is a highway and the car seems to have been within speed limits

@michael_kove yes too met a autistic retard ?

"AI is going to make us more productive .....and give us back our time" I have YET TO SEE an employee who went from working 9-5 to working 9-3 PM because AI made them more efficient. Your employer will work you same 40 hour per week but require you to perform 10X or be let go.

@LayoffAI yaa... just confor they are also not needed. Good. And they wonder what AI does

This Reddit post from r/employeesOfOracle is the most important thing you’ll read today. A surviving employee telling coworkers: do not give a single extra hour. Let the deadlines slip. This is the part of the layoff cycle nobody talks about. Company loyalty/culture is dead.

@law_ninja a fully autistic retard will become multiple domain expert in a day or two.

The most dangerous person in any industry right now is not the AI expert. It is the domain expert who learned AI. And almost nobody understands why. Let me explain. India produces roughly 1.5 million engineers every year. A huge number of them are now learning AI. Watching YouTube tutorials. Getting certifications. Building chatbots that talk to PDFs. LinkedIn is full of them. "AI/ML enthusiast." "Prompt engineering certified." "Building the future with Gen AI." Most of them are unemployable. Not because they lack technical skill. But because they lack context. They know how the tool works. They have no idea what problem to point it at. Now look at the other side. A CA with 15 years of experience who spent 2 months learning AI tools: he knows exactly where the pain is in an accounting workflow. He has felt it in his bones. He knows that the real bottleneck isn't the balance sheet. It is the 47 WhatsApp messages it takes to collect one client's documents and various OTPs. He doesn't need someone to explain the problem. He lived the problem for 15 years. When this person learns AI, something terrifying happens. He doesn't just optimize. He eliminates. A litigation lawyer in Kolkata who handles bail matters. She spent 20 years drafting the same kind of applications with minor variations. She learned Claude Code in 3 weeks. Now she generates first drafts in 4 minutes that used to take her junior 4 hours. Also, she can map evidence and find contradictions in the prosecution case that would have taken a team of 20 juniors without AI. She can even simulate how a judge may react based on a judicial profile model she creates of a judge. She didn't learn "AI." She learned how to give a machine the context she already had in her head. That is a completely different thing. The AI expert builds a generic document summarizer. Impressive demo. Works on anything. Understands nothing. The domain expert builds a bail application drafter that knows the difference between what Prosecutor A argues v Advocate B. Knows which judges want shorter arguments. Knows that the medical ground needs to be in the second paragraph, not the fifth. No AI course teaches this. No certification covers this. This is 20 years of courtroom experience compressed into a prompt. This is why the domain expert is more dangerous. The AI expert sees technology. The domain expert sees the bottleneck. And the bottleneck is where all the money is. Real example. A garment exporter in Tirupur. He processes 200 orders a week. Each order requires email parsing, PO data entry into Tally, production schedule updates, shipping documents, buyer follow-ups. Currently: 2 data entry operators. 8 hours each. 5 days a week. Errors constant. Follow-ups missed. Buyers frustrated. An AI engineer looks at this and says "let me build a custom NLP pipeline." The exporter's son, a 24-year-old commerce graduate who spent 6 weeks learning Claude Code, looks at this and says "Papa, I'll build you a system that reads your buyer emails and whatsapp queries, enters PO data into Tally, and sends WhatsApp follow-ups automatically." Not with drag-and-drop. With actual code. Written by AI. Guided by a kid who understands his father's Tuesday afternoon better than any engineer ever will. He didn't write the code himself. He described the problem to Claude Code and it built the connectors, the parsers, the integrations. In days, not months. Built in 3 weeks. Runs on a Rs 200 per month GCP server. No data entry operators needed. The AI engineer would have quoted Rs 15 lakh and taken 6 months to make something remotely usable. The commerce graduate did it for almost nothing. Because he wasn't solving a technology problem. He was solving his father's business. This is the pattern everywhere. And the tools available today make it absurd. Claude Code and Cursor don't just help you code. They build entire applications from a conversation. You describe what you want. It writes, tests, and deploys. The barrier between "I understand the problem" and "I built the solution" has collapsed to near zero. But coding tools are just the beginning. Look at what else exists right now: HeyGen and ElevenLabs. A single domain expert can now create professional video content and voiceovers in any language. That CA in Jaipur? He can create a client onboarding video in Hindi, English, and Marathi. Personalized. Professional. Without a camera, a studio, or a production team. Kling and Runway. Generate product videos, explainer content, visual demos. The Tirupur exporter can send his international buyers a product showcase video generated from photographs of fabric samples. No videographer. No editor. No 2-week turnaround. No filming budget. OpenClaw and similar AI agent platforms. Build autonomous agents that don't just automate a task but run entire workflows end to end. Client intake to document generation to follow-up. Without a human in the loop. Hermes and open-source models you can run locally. Process sensitive client data without sending it to the cloud. A law firm that won't put case files on ChatGPT can run Hermes on a local machine and get the same AI power with full confidentiality. This is the new stack. Not no-code drag-and-drop. Not Zapier. Not "if this then that." The stack is: AI that builds software + AI that creates content + AI that runs autonomously + AI that runs privately. And any domain expert can learn it. The doctor who learns this stack will build better diagnostic workflows than any health-tech startup. Because she knows that the real problem is not diagnosis. It is that patients lie about their symptoms, forget their medication history, and bring reports from 3 different labs in 3 different formats. She uses Claude Code to build a patient intake system. ElevenLabs to create voice-guided instructions in the patient's language. An AI agent to chase lab reports automatically. The teacher who learns this stack will build better learning tools than any ed-tech company. Because he knows that the problem is not content delivery. It is that a student who failed the last test is too embarrassed to ask a doubt in front of 40 classmates. He uses Claude Code to build a private doubt-clearing bot. HeyGen to create video explanations that feel personal. Kling to generate visual demonstrations of physics concepts that no textbook can show. The HR manager who learns this stack will build better hiring workflows than any recruiting platform. Because she knows that the problem is not resume screening. It is that hiring managers don't read the JD they approved, and then reject candidates for not matching a JD they never actually wanted. She uses an AI agent to align JDs with actual team needs before posting. Claude Code to build a candidate evaluation system tuned to what actually predicts success in her company. Domain knowledge is the moat. This new AI stack is the weapon. The combination is unstoppable. Here is what this means for you. If you are a domain expert in any field, your 10 or 15 or 20 years of experience just became the most valuable asset in the market. Not less valuable. More. Every frustration you had. Every broken process you complained about. Every time you said "there has to be a better way." That was training data. Your training data. You don't need to become a programmer. You don't need a CS degree. You don't need to understand transformer architectures. You need to learn the new stack: 1. How to talk to AI and get what you want (prompting): 2 weeks 2. How to build apps and tools with Claude Code or Cursor: 3-4 weeks 3. How to create content with HeyGen, ElevenLabs, Kling: 1-2 weeks 4. How to deploy AI agents that work autonomously: 2-3 weeks 5. How to read a business process and map it: you already know this The entire stack. Under 3 months. No CS degree. No coding bootcamp. The AI experts are competing with each other. Fighting over the same startup jobs. Building demos that impress other AI experts. The domain expert who learns this stack has no competition. Because nobody else has their context. The CA who builds his own practice management system with Claude Code. The lawyer who runs case research on a local Hermes model with full confidentiality. The factory owner's daughter who creates multilingual buyer presentations with HeyGen and closes international orders her father never could. These people are not on AI Twitter. They are not posting demos. They are not collecting certifications. They are quietly making themselves irreplaceable. The most dangerous person in any room is not the one who knows the most about AI. It is the one who knows the most about the problem. And just learned enough AI to solve it

@hkarthik give the tools to a AUTISTIC Retards. the difference will be huge

Some of them are starting to recognize their AI psychosis. I was on a call last week where an Eng Director said they were lacking sleep for many days and had agents running tasks overnight. After a solid night of rest, they realized the agents had produced about a weeks worth of slop and they erased all of it.

@aparanjape this time those skills are NOT required

Agree Vijay. I did see many rounds of brutal layoffs in the early 2000s (post dotcom crash), at the company I was working. Though I wasn't personally impacted, many friends were affected. All of them came back strongly with better options and careers - just a few years later.