Product Hunt Rishikesh Ranjan
ngram released “ngram 2.0,” an AI video agent that turns release notes, specs, screenshots, docs, URLs, and product recordings into product videos. It’s branded as “2.0.” This shifts product update communication from text-only changelogs to automated video planning, scripting, storyboarding, and visual variant creation.
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TLDRocket
16 October 2026
AI’s center of gravity this week moved toward something less glamorous than headlines about “smarter” models: scaling the stuff models actually learn from. AI4Bharat and NVIDIA released Nemotron-pretraining-Indic-v1, backed by an open, GPU-accelerated synthetic data generation pipeline for 22 Indian languages. The corpus is massive—about 2.8 trillion tokens—split across 2,601.0 billion native-script tokens and 224.6 billion romanized tokens. The practical pitch is even sharper: builders can reuse not just the data, but the full prompt/quality/repair recipe, then continue-pretraining to push results on Nemotron 3.5 Super VL, with the promise that an Indic continued-pretraining stage helps benchmarks.
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