If you are interesting in the hands on AI dev conference in sf. Here's the upcoming event to look for organised by none other than @DeepLearningAI ai-dev.deeplearning.ai/
→ View original post on X — @avikumart_, 2026-04-03 18:15 UTC
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If you are interesting in the hands on AI dev conference in sf. Here's the upcoming event to look for organised by none other than @DeepLearningAI ai-dev.deeplearning.ai/
→ View original post on X — @avikumart_, 2026-04-03 18:15 UTC
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build with ai build with ai build with ai
→ View original post on X — @avikumart_, 2026-03-31 17:45 UTC
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gemini for research copilot for coding claude for deep searches and agentic code openai for quick searches cerebras for faster ai inferences tavily for search api firecrawl for web scraping langchain for ai app development langsmith for agentic ai observation fastAPI for backend server docker for containerising the app streamlit for frontend interface
→ View original post on X — @avikumart_, 2026-03-31 17:40 UTC
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Copilot, gemini, Claude. Vadim (@VadimStrizheus) As a founder, which tool are you actually using in 2026? 1. NemoClaw 2. Perplexity computer 3. MaxClaw 4. OpenClaw 5. Claude Code — https://nitter.net/VadimStrizheus/status/2034927929642336464#m
→ View original post on X — @avikumart_, 2026-03-21 04:24 UTC
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software engineering is inevitable but coding it not
→ View original post on X — @avikumart_, 2026-03-17 23:59 UTC
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NVIDIA's GTC 2026 conference has been phenomenal in terms of latest computer chips and AI stack announcements. Here are the key updates you need to know: 1. The $1 Trillion Demand Projection: NVIDIA CEO Jensen Huang raised demand projections for Blackwell and Vera Rubin systems to $1 trillion through 2027, driven by the explosive growth of AI inference. 2. Vera Rubin Architecture: The new platform features seven breakthrough chips, including the Vera CPU and Rubin GPU with HBM4 memory. It is designed as a vertically integrated "AI Factory" to handle agentic AI reasoning. 3. Groq3 LPX Inference Acceleration: Following a $20 billion deal, NVIDIA integrated Groq’s SRAM-based technology to create the Groq3 LPX rack. This system delivers up to 35x faster token generation for trillion-parameter models. 4. NemoClaw & OpenClaw: NVIDIA partnered with the viral open-source project OpenClaw to launch NemoClaw, a software stack described as the "operating system for personal AI". 5. Physical AI & Robotics: A highlight of the show was a robotic version of Olaf from Disney's Frozen, powered by NVIDIA’s Newton Physics Engine. NVIDIA also unveiled Alpamayo, an open-source "chain-of-thought" reasoning model for Level 4 autonomous driving. 6. Space Computing: NVIDIA announced Vera Rubin Space-1, a dedicated platform designed to bring AI data centres into orbit. 7. The "Feynman" Roadmap: A first look at the 2028 architecture, named Feynman, which will feature the Rosa CPU and next-generation liquid processing units (LPUs). 8. Gaming & DLSS 5: NVIDIA teased DLSS 5, which uses neural rendering to create photorealistic, real-time graphics that "look like a film". 9. Sovereign AI Factories: Broad partnerships with nations and enterprises (like IBM and Nestlé) were showcased to build regional "AI Factories" that keep data and intelligence within sovereign boundaries.
→ View original post on X — @avikumart_, 2026-03-17 22:40 UTC
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So finally manual coding is dead?
→ View original post on X — @avikumart_, 2026-03-17 22:26 UTC
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One thing is clear: Nvidia's making sure that we stay super busy figuring out how to build efficient compute now and then.
→ View original post on X — @avikumart_, 2026-03-17 22:10 UTC
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Training models on the multiple can get you real pain and that's when you realize why NVIDIA is boss of the gpu compute with it's full stack hardware capabilities.
→ View original post on X — @avikumart_, 2026-03-06 06:26 UTC