@thsottiauxAug 28
But flying close to Sol doesn't make it faster, sorry.
Open on X ↗@thsottiauxAug 28
Starting to see more and more Codex users on airplanes and in cafés. Underdog energy gone mainstream.
Open on X ↗@garrytanAug 28
SF YIMBY Action has been a trash organization for years
Don’t join them and don’t give them money. Support CA YIMBY and YIMBY Law https://t.co/AQE3vBknGR
Open on X ↗@levieAug 28
This week’s tech earnings calls were a critical reminder of how valuable the relationship is between software and AI.
Software provides the guardrails for how data is managed, how business logic in workflows are maintained, how you manage and govern access to information, how you protect data, and more. You want these systems to work the same way every time, without fail.
Agents, on the other hand, work inside these systems and with this data to execute on tasks just like people would have. But at a scale far greater than people ever did, which is especially why the deterministic controls matter more than ever.
And in fact many of the best ways to deploy agents will be directly within the software systems themselves, like from Salesforce, Box, Harvey, ServiceNow, and so on. These platforms can optimize agents for their workflows and domains, with evals and context that are unique to their vertical, as well as connect to other
agents headlessly.
The net result is both software and AI adoption go up, hand in hand. Software and Agents are going to work together, and ultimately grow the size of the IT TAM dramatically as a result over time.
Open on X ↗@trq212Aug 28
life is stranger than fiction https://t.co/VRODSsk0q4
Open on X ↗