krishna hrithik

897 posts

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krishna hrithik

krishna hrithik

@krish2kdev

Software Engineer |🇮🇳| Hyd

Hyderabad, India Katılım Ekim 2019
291 Takip Edilen139 Takipçiler
krishna hrithik
krishna hrithik@krish2kdev·
Hard truth for @INCIndia: Repeat these results and INDIA alliance is done before 2029. 2024 was your best shot. Less ideology wars, more coalition building. Get the masses NOT BY USUAL WAYS OF STANDING FOR FEW, not just the moral high ground.
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krishna hrithik
krishna hrithik@krish2kdev·
Gujarat. MP. UP. Assam. Delhi. Bengal now. BJP never had a strong foothold before. Opposition mistakes gave them one. Keeping it? That’s the systemic BJP edge.
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Xiaoyin Qu
Xiaoyin Qu@quxiaoyin·
I can’t believe I stopped using Claude Code max and entirely use DeepSeek and Hermes. It’s so fast, so so fast, 3x faster for the same task. So cheap. I spent $5 last week and never need worry about being rate limited or usage hit limits very two hours. For most tasks it’s perfect enough.
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krishna hrithik
krishna hrithik@krish2kdev·
@Gavriel_Cohen Thing is he alone wouldn't have made it, he would have a team that does it and gave it to him on his inputs! That's the point he should confess! No one interested in giving credits these days!
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Gavriel Cohen
Gavriel Cohen@Gavriel_Cohen·
Singapore's Foreign Minister published the architecture for his "second brain for a diplomat" yesterday. Architecture diagrams, design rationale, the works. A developer-style writeup of his own system. It runs on a Raspberry Pi. It connects to his WhatsApp and Gmail, transcribes voice notes locally, ingests speeches and articles, and builds up a knowledge graph over time. It answers questions, drafts speeches, condenses information. He says he doesn't dare switch it off. What @VivianBala built is one-of-one. There's no other setup like it. But what he built it from isn't. He composed four open-source pieces: - @NanoClaw_AI , the agent framework: github.com/qwibitai/nanoc… - Mnemon, the persistent memory layer: github.com/mnemon-dev/mne… - OneCLI, the credential proxy that keeps API keys out of the containers: github.com/onecli/onecli - The LLM Wiki pattern by Andrej Karpathy, the synthesis approach: x.com/karpathy/statu… None of them are his. The composition is his. And then he published the composition: gist.github.com/VivianBalakris… He didn't keep it internal as Singapore's edge. He didn't spin it into a product. He didn't gatekeep. He wrote it up and put it on GitHub. There are tens of thousands of doctors, lawyers, researchers, investors, and operators building one-of-one setups for themselves right now. Some simpler than Vivian's, some more elaborate. The impulse will be to sit on it. Treat it as your edge. Think about what product or company you could spin out of it. Resist that impulse. Vivian put it directly: "The diplomat who learns to work with AI will have a meaningful edge. I think that edge is now." The specific thing Vivian composed will be obsolete in months. His real edge isn't the system. It's his ability to build it. Being plugged in, up to speed, able to cut through the noise and connect the right pieces into something that brings real value. Sharing the blueprint doesn't give that away. It amplifies it. You become a beacon. Other people working on the same things find you. They share what they're building, suggest improvements, point at things you didn't know existed. You learn faster. You stay in the center of where things are happening. Publishing isn't giving away your edge. It's doubling down on it.
Zac@Zac_Pundi

Singapore’s AI obsession just hit Everest peak. The Foreign Minister is self-hosting Claude on a Raspberry Pi and building a diplomatic knowledge graph using Karpathy’s LLM Wiki pattern. Wahlao! SG devs, the minister is coming for your job. And he’s not even using Cursor — he’s on NanoClaw running locally. Can someone git pull his code and give it a test. Only bad thing? He dropped this on Facebook instead of X. Minister, we need to talk. gist.github.com/VivianBalakris…

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DeepSeek
DeepSeek@deepseek_ai·
🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length. 🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models. 🔹 DeepSeek-V4-Flash: 284B total / 13B active params. Your fast, efficient, and economical choice. Try it now at chat.deepseek.com via Expert Mode / Instant Mode. API is updated & available today! 📄 Tech Report: huggingface.co/deepseek-ai/De… 🤗 Open Weights: huggingface.co/collections/de… 1/n
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krishna hrithik
krishna hrithik@krish2kdev·
@getsupermoney could you please close my account? I am not getting that option to do it myself, the help bot isn't helping to go over there. Need help at earliest
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krishna hrithik retweetledi
Sunny R Gupta 🐰
Sunny R Gupta 🐰@sunnykgupta·
Great read. We’ve shifted to agentic building. But a surprising number of companies are still debating whether engineers should even use AI. Meanwhile, more than 50% of developers haven’t shipped a single line of AI-assisted code. Displaced? Retrained? Left behind? Irrelevant question. Industries don’t care about fairness... they care about output. (read Shareholder Value) The only thing that matters: Are you building faster, better, and more intelligently than before? If not, you’re already behind. Get into rooms where people are building tools... not debating them.
Gabriel Chua@gabrielchua

x.com/i/article/2034…

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Animesh Koratana
Animesh Koratana@akoratana·
Introducing: PlayerZero The world's first Engineering World Model that puts debugging, fixing, and testing your code on autopilot. We've raised $20M from Foundation Capital, @matei_zaharia (Databricks), @pbailis (Workday), @rauchg (Vercel), @zoink (Figma), @drewhouston (Dropbox), and more PlayerZero frees up 30% of your engineering bandwidth by: 1.⁠ ⁠Finding the root cause for bugs & incidents in minutes that engineering teams take days to identify. 2.⁠ ⁠Predicting in minutes, edge case issues that a 300-person QA team would take weeks to find. ------ Here's why this matters: No one in your org has a complete picture of how your production software actually behaves. Support sees tickets. SRE sees infra. Dev sees code. Each team builds their own fragmented view - and none of these systems talk to each other. When something breaks, everyone scrambles to stitch the picture together by hand. PlayerZero connects all of it into a single context graph - → The Slack thread where your lead said "we went with X because Y fell apart in prod last time" → The PR review where an engineer explained the tradeoff → The lifetime history of your CI/CD pipeline, observability stack, incidents, and support tickets So you can trace any problem to its root cause across every silo. And it compounds. Every incident diagnosed teaches the model something new. The longer it runs, the deeper it understands - which code paths are high-risk, which configurations are fragile, which changes tend to break which customer flows. So when you sit down to debug a live issue, you have your entire org's collective reasoning and production memory behind you - instantly. ------ Zuora, Georgia-Pacific, and Nylas have reduced resolution time by 90% and caught 95% of breaking changes and freeing an average of $30M in engineering bandwidth. ------ Our guarantee: If we can't increase your engineering bandwidth by at least 20% within one week, we'll donate $10,000 to an open-source project of your choice. Book a demo - bit.ly/3NlLMeN
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krishna hrithik
krishna hrithik@krish2kdev·
@iTanayVaswani Just want to understand, why it would be crab mentality? It's not right to do at junction, but where they can if they want to? Only at race tracks?
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Tanay Vaswani
Tanay Vaswani@iTanayVaswani·
Instead of filing a complaint, maybe hand the guy a medal pulling that off on a road with e-rickshaws, city buses, swift dzire, wagonR, mahindra mini truck and an idiot with 300W LEDs in reflector housing, causing blind glare Nobody would notice all that chaos on road, but lambo, peak indian crab mentality
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krishna hrithik
krishna hrithik@krish2kdev·
@DuckDuckGo — India deserves its own frontier model in duck.ai! Please add Sarvam's 105B (India's first 100B+ sovereign LLM, open-source, beats GPT-OSS and GPT-4o on all tasks) by dropping either GPT-4o or GPT-OSS. Proudly made in Bharat — this is how we build AI sovereignty! #IndiaAI #DuckAI @SarvamForDevs @pratykumar
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krishna hrithik retweetledi
Pratyush Kumar
Pratyush Kumar@pratykumar·
India’s startup ecosystem is special. Over the last decade, founders built extraordinary businesses by understanding India deeply. Now the AI opportunity is here. Of course adopting AI is a no-brainer. But the bigger question is - can some firms lead by building AI, can they convert their data advantage to model advantage... To discuss the why, what, and how of building custom models and to share some nuggets from all our model drops, we are hosting an invite-only group of founders in our BLR office. DMs open. Its Friday, the 13th.
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krishna hrithik
krishna hrithik@krish2kdev·
Indian Govt should especially work in AI in building the country's skin against short war and long war scenarios. It should run simulations extensively upon emerging scenarios from the borders so that External Actors can't impact the micro stability and macro economics #war
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Pratyush Kumar
Pratyush Kumar@pratykumar·
📢 Open-sourcing the Sarvam 30B and 105B models! Trained from scratch with all data, model research and inference optimisation done in-house, these models punch above their weight in most global benchmarks plus excel in Indian languages. Get the weights at Hugging Face and AIKosh. Thanks to the good folks at SGLang for day 0 support, vLLM support coming soon. Links, benchmark scores, examples, and more in our blog - sarvam.ai/blogs/sarvam-3…
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