One week youโre using AI to write codeโฆ
Next week youโre reading its own codebase ๐
Hundreds of thousands of lines.
Agent workflows. Tool systems. Real architecture.
Not hype. Not demos.
Just raw systems behind the curtain.
Feels like weโre entering an era where
using AI โ studying how AI is built
And that shift isโฆ interesting. โก๏ธ
#AI #LLM #DevTools
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This is where AI getsโฆ different ๐
Gemma 4 isnโt just replying - itโs running workflows on its own.
Locally. On-device. No babysitting.
Weโre quietly moving from:
AI as a tool โ AI as an operator
Most people havenโt clocked it yetโฆ
but this changes how software gets built.
We are in the era of local AI orchestration
Gemma 4 evaluates a scene, reasons about what to ask, and calls a segmentation model to execute the vision tasks:
๐ "Segment all vehicles." โ 64 found
๐ "Now just the white ones." โ 23 found
All happening offline on a laptop.
Enterprise AI is entering a new phase
Not just ask a model โ get an answer anymoreโฆ
Now itโs:
โ AI that understands your org
โ Runs multi-step workflows
โ Acts, not just responds
The shift isnโt better chat.
Itโs delegation.
The real question:
Whoโs ready to trust AI with actual work? โก๏ธ
#AI #EnterpriseAI #LLM #Startups @DeniseDresserG
https://t.co/Yl1E1GQCga
90 days in and 400+ customer meetings later, Chief Revenue Officer Denise Dresser shares what sheโs learned since starting at OpenAI and what it means for our enterprise strategy. https://t.co/4ON2LhNOso