StarZero All shows Try the podcast clipper →

Joe Spisak

VP of Product, Reflection AI · 1 appearance on the record.

computed by AI from the episodes · how this works → · full disclaimer →

executiveoperatorinvestor@joespeez ↗LinkedIn ↗reflection.ai ↗

Joe Spisak is the VP of Product and Head of Open Source at Reflection AI. He previously led product for PyTorch and directed open-source strategy for Llama at Meta, following earlier artificial intelligence roles at Amazon Web Services and Intel.

7statements → 4claims → 2claims resolved → 3.86/5average certainty → 2/5average debate potential →

2 supported 0 partly supported 0 contradicted 2 not checkable as stated how the 4 claims stand · each chip opens the sources

4 assertions · 2 opinions · 1 disclosure · every statement was checked. The predictions and assertions are the 4 claims: statements the public record can support or contradict. 2 are resolved, and 2 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Joe argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

Assertion Supported
Spisak: AWS image recognition service lacks support for custom enterprise data
“Because even today, you know, just being the self-deprecating Amazon guy, we have services that aren't, they're not very flexible. Like our image recognition service is really cool, and it does a lot of great things, but I can't actually bring my own data to i…”
Joe Spisak Jan 2, 2019 ▶ 23:45 a16z Podcast | AI, from 'Toy' Problems to Practical Application

How they sound: not measured why? →

We measure speaking style by listening to the audio itself, and a fair number needs at least 2,000 words from one person on tape we have measured. There is too little of Joe Spisak on measured tape to publish a rate. This says nothing about how they speak.

Everything Joe Spisak said on the a16z Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Opinion
Spisak: Business intelligence is on its last legs as analytics shifts
“I don't want to say BI is dead, but it's, you know, it's on its last leg. I think everyone wants to move to more predictions, actionable, prescriptive analytics, and you can't do that when you're just kind of looking at pretty pictures. So I think we're seeing…”
Joe Spisak Jan 2, 2019 ▶ 24:45 a16z Podcast | AI, from 'Toy' Problems to Practical Application
Opinion
Spisak: Medical AI startups are illegitimate without clinical staff and hospital data
“If it's a medical imaging startup, if you don't have a hospital you're working with to provide you data, if you don't have doctors, if you don't have clinicians that you're working with or have on staff, frankly, I don't see a whole lot of legitimacy to what y…”
Joe Spisak Jan 2, 2019 ▶ 28:52 a16z Podcast | AI, from 'Toy' Problems to Practical Application
Disclosure
Spisak: AWS is tracking 500 to 600 internal enterprise AI use cases
“I'm tracking something like five or 600 use cases internally that our sales folks are coming to us and saying, hey, I got this problem.”
Joe Spisak Jan 2, 2019 ▶ 3:53 a16z Podcast | AI, from 'Toy' Problems to Practical Application
Assertion Not checkable as stated
Spisak: Most public machine learning code examples are merely toy problems
“There's this explosion of tutorials and code that's out there, but these largely are all toy examples.”
Joe Spisak Jan 2, 2019 ▶ 14:14 a16z Podcast | AI, from 'Toy' Problems to Practical Application
Assertion Not checkable as stated
Spisak: Domain transfer from simulation for autonomous driving remains unsolved
“When you talk about having RRL applied in say like autonomous driving, having a car drive around and learn how to drive, you know, by crashing a million times isn't tractable as a, you know, as an algorithm. So it's, you know, being able to do all that simulat…”
Joe Spisak Jan 2, 2019 ▶ 15:48 a16z Podcast | AI, from 'Toy' Problems to Practical Application
Assertion Supported
Spisak: AWS image recognition service lacks support for custom enterprise data
“Because even today, you know, just being the self-deprecating Amazon guy, we have services that aren't, they're not very flexible. Like our image recognition service is really cool, and it does a lot of great things, but I can't actually bring my own data to i…”
Joe Spisak Jan 2, 2019 ▶ 23:45 a16z Podcast | AI, from 'Toy' Problems to Practical Application
Assertion Supported
Spisak: Microsoft has shifted its strategy from mobile-first to AI-first
“And Microsoft has switched from a mobile first over to an AI first now as well.”
Joe Spisak Jan 2, 2019 ▶ 2:09 a16z Podcast | AI, from 'Toy' Problems to Practical Application

Appearances (1)

EpisodeDateSpeaking time
a16z Podcast | AI, from 'Toy' Problems to Practical Application Jan 2, 2019 7m
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 1,000 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.

Try the podcast clipper Learn more