We upgraded from GPT-X to GPT-X+1. Cost doubled. Latency increased. Quality looked… the same. Users still asked: “Is this answer reliable?” We learned users don’t care about model versions. They care about being lied to confidently. #LLM #OpenAI

Our CTO asked if we were “AI-ready.” So I turned off the internal chatbot. No one noticed for two weeks. Turns out our AI strategy was a slide deck talking to itself. We are now officially “PowerPoint-ready.

Last quarter I rolled out Microsoft Copilot to 4,000 employees. $30 per seat per month. $1.4 million annually. I called it "digital transformation." The board loved that phrase. They approved it in eleven minutes. No one asked what it would actually do. Including me. I

List of all LLM fine tuning techniques

I spent the last few days prompting ChatGPT to understand how its memory system actually works. Spoiler alert: There is no RAG used https://t.co/zxvRRP2GK8

AI vs AI

Gangsters of silicon valley.

Try this once

😆

Weibo's new open source AI model VibeThinker-1.5B outperforms DeepSeek-R1 on $7,800 post-training budget https://t.co/EBC1YVkPTK #LLMs #DeepSeek #GenAI

Sad #Delhi #RedFort

BIG BREAKING NEWS 🚨 ▪️Twin car blasts reported near the Red Fort in New Delhi. ▪️Several vehicles engulfed in flames, multiple deaths and injuries reported. #RedFort #Blast #Delhi

🚨 Explosion reported near Red Fort, Delhi Early reports suggest a blast occurred in a car near Gate No.1 of Lal Qila Metro Station, triggering a fire that damaged several nearby vehicles. Authorities & emergency teams are on site — investigation underway. #Delhi #RedFort

🚨 Explosion reported near Red Fort, Delhi. A blast occurred in a car near Gate No.1 of Lal Qila Metro Station, leading to a fire that damaged 3–4 nearby vehicles. #RedFort #DelhiBlast

Really?

🚀 AI Crash Course for Builders Want to catch up with frontier AI research in 2 weeks? This curated list covers everything from: 🔹 Neural Networks → LLMs 🔹 Scaling Laws, RLHF, DPO, MoE 🔹 Agents, CoT, ToT, ReAct 🔹 Llama 3, Gemini 1.5, DeepSeek v3 🔹 SWE-Bench, Chatbot Arena

Here's my beginner's lecture series for RAG, Vector Database, Agent, and Multi-Agents: Download slides: 👇 * RAG: https://t.co/02dZB65BbV * Agents: https://t.co/EEDlUuS1yV * Vector Database: https://t.co/nyecvpjxM7 * Multi-Agents: https://t.co/7QPG9b8gN2 --- 100% original,

GenAI Learning in Simple Words LLM → “I’ll answer using what I already know.” RAG → “Here’s a book — answer from that.” Agents → “Search Google and find the answer.” Similarity Search → “Which pages in the book are relevant?” Vector Embeddings → “Understand the meaning of

🧠 Top LLM Papers of the Week (Nov Week 1, 2025) 1️⃣ Less is More for Reasoning-Intensive Info Reranking 2️⃣ LLM Mid-Training (Survey) 3️⃣ PatenTEB – Patent Text Embedding Benchmark 4️⃣ Agent Data Protocol 5️⃣ Tongyi DeepResearch Tech Report 6️⃣ Relative Scaling Laws for LLMs 7️⃣

Meta plans to spend $100 billion in 2026 — mostly on AI, data centers, and superintelligence. India’s central govt R&D budget: $7.8 billion. But sure, we’re totally winning the AI race. 🇮🇳💪 #AI #India #Tech