Tasks
topic on 2 shows · 4 statements across 3 episodes
4 statements about Tasks, every show
Fang: Dashers are actively collecting physical data for AI world models
“We also launched a product called tasks a couple months ago where we're having people in the dash fleet help basically collect data points to help train some of these world models.”
Nguyen: OpenAI built Canvas and Tasks features mostly via synthetic data
“The way we made Canvas and tasks and, like, new, like, product features for HTTP was mostly done by synthetic training.”
OpenAI Built Tasks in Two Months and Canvas in Four to Five
“For tasks, it took, like, I don't know, like, two months or so to go from, like, zero to one, basically. Oh, wow. For canvases was, like, four or five months, I guess. To go from zero to one.”
Wodtke: The biggest KR mistake is listing tasks instead of outcomes
“And then the key results, it's always going to be tasks. I mean, people put tasks in there all the time and it can be tricky. Like sometimes it feels like a task, like you have to get it past a product review. So it's going to have a binary. They either said y…”