Positive users praise Gemini and agree high-quality data is key to success, while negative users criticize Google for lagging in AI despite its vast data advantages from products like Gmail and YouTube.
Based on 27 visible X reactions from 191 accounts; directional sample.
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Exactly. Raw scale is table stakes now — the real moat is ruthless curation, synthetic data pipelines, and novel collection methods (human feedback loops, domain experts, simulated environments). Models trained on “internet slop” plateau fast. The winners will be those who engineer premium data flywheels others can’t replicate.
@OfficialLoganK I honestly love using Gemini. I sub to both labs + google. I still like to chat with google and vibe over code/architecture designs. I like that Gemini thinks big.
@OfficialLoganK absolutely! high quality data really is the backbone of success.
@OfficialLoganK Dog… YOUR GOOGLE! You ARE data. Get your stuff together and make a good model.
Exactly. Raw scale is table stakes now — the real moat is ruthless curation, synthetic data pipelines, and novel collection methods (human feedback loops, domain experts, simulated environments). Models trained on “internet slop” plateau fast. The winners will be those who engineer premium data flywheels others can’t replicate.
@OfficialLoganK I honestly love using Gemini. I sub to both labs + google. I still like to chat with google and vibe over code/architecture designs. I like that Gemini thinks big.
Positive users praise Gemini and agree high-quality data is key to success, while negative users criticize Google for lagging in AI despite its vast data advantages from products like Gmail and YouTube.
Based on 27 visible X reactions from 191 accounts; directional sample.
Ask a question below.
Published answers will appear here.
it’s surprising to me how many people seem to not understand that great models are built with super high quality curated data finding novel ways to create / get this data is a huge edge