why aren't all 6 resolved? a statement only gets an assessment when the public
record can support or contradict it. opinions and what-ifs never can, and 0 checkable
ones are still open, waiting for their date. predictions held up or didn't;
assertions are supported or contradicted. on every card:
▮▮▮▮▮ certainty ·
▮▮▮▮▮ debate potential. speakers are clickable
Assertion Supported
Erb: Billions have been invested in pre-product AI hardware unicorns
“A few billion dollars have been invested in new hardware startups. There are a few unicorns already for companies that don't have products fully out yet.”
Assertion Not checkable as stated
Tech giants like Google and Uber rely on home-rolled ML infrastructure
“Most of the tooling is kind of home rolled. Best practices haven't emerged yet. We're seeing a lot of, especially large companies, roll their entire own stacks. So Facebook has FB Learner, Google has TFX. Uber has Michelangelo. Airbnb has Big Head.”
Prediction Not checkable as stated
Erb predicts ten new machine learning hardware accelerators will launch in 2019
“My guess is by the end of the year, there will be 10 more new devices that are coming out.”
Prediction Not checkable as stated
Erb: AI ops tools will expand into broad platforms within two years
“Tools in this space, this is an observation, ah, I'll check back in in a year or two, we'll see if I was totally wrong. Will go wide and deep to close this AI ops feedback loop.”
Prediction Not checkable as stated
Software platforms will almost entirely abstract away underlying machine learning hardware
“Hardware will also be almost entirely abstracted away by these platforms, which is going to be an enormous mountain of work that will be done by lots of companies.”
Assertion Not checkable as stated
Erb: The largest deep learning teams generally do not exceed 20 people
“The biggest teams generally don't go much larger than, say, 15 to 20 people, especially in the deep learning space.”