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“50% of DoorDash’s agentic restaurant orders are going to places users have never ordered from before.”
@andyfang tells our CEO @ypatil125 what happens when agents become the discovery layer. If models increasingly decide what gets surfaced and bought, companies have a strong reason to train and own that intelligence.
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“Until you actually see things operationally, it’s going to be hard to build DoorDash from scratch.”
Our CEO @ypatil125 sat down with @andyfang on why cheaper software doesn’t erase years of operating advantage. @DoorDash’s moat is its proprietary data, edge cases, and hard-won knowledge, and increasingly, the models trained on top of it.
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Montgomery County man admits to producing child sexual abuse material
Bald Eagle Killer Sent to Prison
Five charged in $1 million U.S. Treasury check scheme
Illegal alien sent to prison for role in black-market peso exchange money laundering scheme
Mexican national admits role in fatal human smuggling attempt
Border enforcement actions continue with 198 additional cases filed in Operation Take Back America efforts
Scammer pharmacist guilty in $20 million healthcare kickback scheme
Rio Grande City man sentenced for soliciting sexually explicit images of minors
