Satyam Kumar @HeyItsGenAI

'Don't Have Courage To Take Exam Again': NEET Aspirant Dies By Suicide ndtv.com/india-news/nee…

1) We spent billions doing photography/marketing of politicians. 2) We spent billions running freebies. 3) We spent billions building pointless statues. 4) We handed over billions worth of resources to crony capitalists. 5) We spent billions pumping non-sense companies that mix sugar-cane juice with petrol. Then we expect market to perform, 20% salary growth & 15 Lakh in each account. Yeah sounds about right.

India has its own LLM now Which is also open source & built from scratch Saravam AI #ai #aiSummit

AI will not Disrupt IT Only It will disturb whole ecosystem in IT Hubs Even Real Estate prices will impact badly #AI #stockmarkets

The AI revolution is here - bringing both threats and opportunities. Our IT and services sector, a shining star of our economy, is at risk, and thousands of software engineers and professionals will lose their livelihoods if we do not prepare for the storm that is coming. But we have opportunities too. Data is the petrol which fuels the AI engine. As I said in parliament, India’s greatest asset is our brilliant people - and the enormous data we create. In a few days, the government is hosting a grand AI Summit. It should have been an opportunity for India to assert leadership - to demonstrate how a country of 1.4 billion people can use our data to shape the global AI future ON OUR OWN TERMS. Instead, a helpless PM Modi, has surrendered to the US ‘chokehold’ in the trade deal. Under the pretext of “clearing barriers to digital trade”, every move to use our data for our own benefit will be opposed. Already, large foreign companies enjoy a near monopoly on our data through Facebook, Instagram, WhatsApp, Youtube, Amazon, Android, etc. With this deal, India will struggle to: •⁠ ⁠⁠Safely store the data of 1.5 billion Indians in India •⁠ ⁠⁠Get transparency in their source codes and algorithms •⁠ ⁠⁠Tax the profits they make using our data It’s a shame that our Prime Minister has been pressured to hand over India’s prime resource to a foreign power.

Codex 5.3 just genuinely solved software. It's over.

Farewell SaaS Hello MaaS

@MrMekzy_

The IT boom carried India for 30 years. AI just killed it in 3. > Across Top IT companies Net hiring: 17 people. Not thousands. Not lakhs. Just Seventeen. A billion people. A dying service economy. No innovation engine. This isn’t fear. This is math.

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 told everyone it would "10x productivity." That's not a real number. But it sounds like one. HR asked how we'd measure the 10x. I said we'd "leverage analytics dashboards." They stopped asking. Three months later I checked the usage reports. 47 people had opened it. 12 had used it more than once. One of them was me. I used it to summarize an email I could have read in 30 seconds. It took 45 seconds. Plus the time it took to fix the hallucinations. But I called it a "pilot success." Success means the pilot didn't visibly fail. The CFO asked about ROI. I showed him a graph. The graph went up and to the right. It measured "AI enablement." I made that metric up. He nodded approvingly. We're "AI-enabled" now. I don't know what that means. But it's in our investor deck. A senior developer asked why we didn't use Claude or ChatGPT. I said we needed "enterprise-grade security." He asked what that meant. I said "compliance." He asked which compliance. I said "all of them." He looked skeptical. I scheduled him for a "career development conversation." He stopped asking questions. Microsoft sent a case study team. They wanted to feature us as a success story. I told them we "saved 40,000 hours." I calculated that number by multiplying employees by a number I made up. They didn't verify it. They never do. Now we're on Microsoft's website. "Global enterprise achieves 40,000 hours of productivity gains with Copilot." The CEO shared it on LinkedIn. He got 3,000 likes. He's never used Copilot. None of the executives have. We have an exemption. "Strategic focus requires minimal digital distraction." I wrote that policy. The licenses renew next month. I'm requesting an expansion. 5,000 more seats. We haven't used the first 4,000. But this time we'll "drive adoption." Adoption means mandatory training. Training means a 45-minute webinar no one watches. But completion will be tracked. Completion is a metric. Metrics go in dashboards. Dashboards go in board presentations. Board presentations get me promoted. I'll be SVP by Q3. I still don't know what Copilot does. But I know what it's for. It's for showing we're "investing in AI." Investment means spending. Spending means commitment. Commitment means we're serious about the future. The future is whatever I say it is. As long as the graph goes up and to the right.

List of all LLM fine tuning techniques

Ashutosh Maheshwari @asmah2107

7 months ago

LLM Fine-tuning techniques I’d learn if I wanted to customize them: Bookmark this. 1.LoRA 2.QLoRA 3.Prefix Tuning 4.Adapter Tuning 5.BitFit 6.P-Tuning v2 7.Soft Prompts 8.Instruction Tuning 9.RLHF 10.DPO (Direct Preference Optimization) 11.RLAIF (AI Feedback) 12.Multi-Task

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I spent the last few days prompting ChatGPT to understand how its memory system actually works. Spoiler alert: There is no RAG used manthanguptaa.in/posts/chatgpt_…

AI vs AI

kapilansh @kapilansh_twt

7 months ago

Someone ordered eggs on Instamart and only one came cracked. Instead of just reporting it, they opened Gemini Nano and literally typed: “apply more cracks.” In a few seconds, AI turned that tray into 20+ cracked eggs — flawless, realistic, impossible to distinguish. Support

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Gangsters of silicon valley.

Try this once

😆

Aiden Bai @aidenybai

8 months ago

just so we're clear: Antigravity is a Windsurf wrapper Windsurf is a VSCode wrapper VSCode is an Electron wrapper Electron is a Chromium wrapper Chromium is a C++ wrapper C++ is a C wrapper C is an Assembly wrapper Assembly is a Machine Code wrapper

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Weibo's new open source AI model VibeThinker-1.5B outperforms DeepSeek-R1 on $7,800 post-training budget venturebeat.com/ai/weibos-new-… #LLMs #DeepSeek #GenAI

Sad #Delhi #RedFort

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