what's the prompt? we did a big survey internally and 100% preferred new persaonlization – maybe you just have to prompt differently in v8
GENERATIVE AI
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AI Coding Assistants May Weaken Error Literacy in Future Developers
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Computers used to be unforgiving. I wonder what will happen if the next generation of computer scientists does not grow up with “syntax error in line 20” but with “you are absolutely right, let me try…”
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Live Collaboration Challenges in Large AI Codebases
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live collaboration is just insanely hard and has a ton of corner cases, and the codebase is now huge so the loops are pretty long on the AI someone who knows where to poke from previous experience will move a lot faster
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Adjusting Prompts and Settings for V8 AI Model
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what are the prompt and settings for both jobs? v8 is different than v7, you may need to adjust your prompts/settings for best results, every new version is this way! <3
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Jensen Huang Counters DLSS 5 AI Slop Criticism at NVIDIA
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Jensen trying really hard to aikido the negative sentiment that DLSS 5 is post-processed "AI slop."
— Bilawal Sidhu (@bilawalsidhu) 17 mars 2026
Kind of wild that the term "generative AI" has become a liability for the company that literally coined the GPU revolution. pic.twitter.com/O3dKFgsHDOJensen trying really hard to aikido the negative sentiment that DLSS 5 is post-processed "AI slop." Kind of wild that the term "generative AI" has become a liability for the company that literally coined the GPU revolution.
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Agentic Retrieval vs Traditional RAG for Complex Documents
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Traditional RAG retrieves. Agentic retrieval reasons. For complex questions spanning multiple documents, that difference matters. Join us virtually April 2 at 1 PM ET — register and we'll send the recording if you can't make it live. RSVP: https://
domino.buzz/4lp1Dpg -
GPT-5.4-mini matches fine-tuned GPT-4.1-mini performance
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So far in my tests gpt-5.4-mini matches the performance of my fine tuned gpt-4.1-mini, I'll keep trying to improve it, and it does look like it is better but not a slam dunk yet
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NVIDIA GTC 2026: Breakthrough AI Chips and Vera Rubin Architecture
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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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Is Manual Coding Finally Dead?
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So finally manual coding is dead?
→ View original post on X — @avikumart_, 2026-03-17 22:26 UTC