People, every show

Ben Vigoda

Founder & CEO, Product Genius AI. On 1 show, 1 appearance. The Shows tab opens the full record on each.

founderexecutivescientistengineerLinkedIn ↗benvigoda.com ↗

Ben Vigoda is an MIT-trained computer scientist who co-founded Lyric Semiconductor and Gamalon to advance Bayesian program synthesis. In addition to co-founding the medical non-profit Design that Matters, he currently leads Product Genius AI, building real-time learning AI models for e-commerce.

1shows
1appearances
8statements
0resolved
0supported
0contradicted

Everything Ben Vigoda said on any show that made the record, most notable first. Each card names its show and opens the statement there.

MAD Insight
Ben Vigoda: Neurons and synapses are the wrong abstraction for AI
“Neurons and synapses is not the right abstraction. Models should be programs, specifically programs that simulate the system that generated the data.”
Ben Vigoda May 22, 2018 ▶ 7:46 A New Approach to Machine Intelligence // Ben Vigoda, Gamalon (FirstMark's Data Driven)
MAD Insight
Ben Vigoda: Machine learning variables must include uncertainty and error bars
“Every variable that you're trying to infer in a program should come with an uncertainty. Neural networks today are just, they're just a number in the neuron. It's like an activation level. But you need error bars around those numbers.”
Ben Vigoda May 22, 2018 ▶ 8:03 A New Approach to Machine Intelligence // Ben Vigoda, Gamalon (FirstMark's Data Driven)
MAD Insight
Ben Vigoda: Deep learning is excellent at instinct but poor at thought
“AI is really good at instinct. I mean deep learning, it's not so great at thought.”
Ben Vigoda May 22, 2018 ▶ 19:13 A New Approach to Machine Intelligence // Ben Vigoda, Gamalon (FirstMark's Data Driven)
MAD Assertion Not checkable as stated
Changing deep learning target categories requires retraining models from scratch
“But if you want to change your columns, your categories, then you have to redo all your multiple choice tests and then retrain the system. And if you want to change the categories, you have to start over.”
Ben Vigoda May 22, 2018 ▶ 4:38 A New Approach to Machine Intelligence // Ben Vigoda, Gamalon (FirstMark's Data Driven)
MAD What-if
Cell phones would drop calls 1,000x more often without Bayesian probability bounds
“You would drop calls a thousand times more often if there were, if cell phone receivers didn't found uncertainty in one patient.”
Ben Vigoda May 22, 2018 ▶ 21:46 A New Approach to Machine Intelligence // Ben Vigoda, Gamalon (FirstMark's Data Driven)
MAD Assertion Not checkable as stated
A major New York bank receives 1.2 billion text messages annually
“One big bank in, in New York City that we've been talking to gets 1.2 billion of these little text messages a year.”
Ben Vigoda May 22, 2018 ▶ 2:16 A New Approach to Machine Intelligence // Ben Vigoda, Gamalon (FirstMark's Data Driven)
MAD Assertion Not checkable as stated
Gamalon reduced an automaker's text processing costs from $1.25 to 10 cents
“We're able to work with them for a few weeks and generate a model, and they're actually, we're paying a dollar 25 per utterance to get them read. It took months to do it every year, and now it takes 25 milliseconds, and they pay 10 cents.”
Ben Vigoda May 22, 2018 ▶ 17:18 A New Approach to Machine Intelligence // Ben Vigoda, Gamalon (FirstMark's Data Driven)
MAD Assertion Not publicly verifiable
Ben Vigoda began working on deep learning in 1989 at age 14
“I started doing deep learning in about 1989 with David Rumelhart when I was 14 working at Stanford.”
Ben Vigoda May 22, 2018 ▶ 0:39 A New Approach to Machine Intelligence // Ben Vigoda, Gamalon (FirstMark's Data Driven)

One line per show, most statements first. The link opens Ben's full record on that show: the calibration, argument clarity, speaking style and every statement made there.

ShowRole thereEpsStatementsRecord
MADLEDGER Founder & CEO, Product Genius AI 1 8 full record on the MAD Podcast →
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