@vinodpolinati
Applied AI Engineer || LLMs, Computer Vision, Backend Systems || Ex-ISRO • Ex-AegionDynamic • Stealth AI
Freelance Work.
6h ago · 3 min read · In early March 2026, OpenAI dropped GPT-5.4 — a model family that crossed a huge milestone. On OSWorld-V (real desktop productivity benchmark), it scored 75%, edging past the human baseline of 72.4%.
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Feb 26 · 4 min read · Training frontier LLMs is brutally expensive — not just in dollars (clusters cost millions), but in time. Weeks or months on thousands of GPUs, with massive energy bills and idle hardware during synch
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Feb 13 · 4 min read · Just two days ago (Feb 11, 2026), Zhipu AI (aka Z.ai) dropped GLM-5 - a massive 744B-parameter Mixture-of-Experts (MoE) model under full MIT license. Trained entirely on Huawei Ascend chips (no NVIDIA in sight), it's already topping open-weight leade...
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Feb 13 · 4 min read · For the past few years, the dominant narrative in LLM research has been simple: Bigger context windows = smarter models. We moved from 8K → 128K → 1M → and even bold claims of 10M+ tokens.Models like Gemini, GPT-5 series, Claude, and Qwen proudly adv...
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Feb 9 · 4 min read · If you've been building with LLMs or shipping agentic tools in the last few months, you know the pattern: models get smarter on benchmarks, but long-running tasks still fall apart - context drifts, planning collapses, and you end up babysitting the a...
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