The Ledger

Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.

clear all ✕

why aren't all 13 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 Not checkable as stated
Mars: AI assistant infrastructures are monopolized by major tech companies
“These kinds of infrastructures are monopolized essentially by companies like Apple, Google, Microsoft, and so forth.”
Jason Mars Jul 28, 2017 ▶ 3:14 Jason Mars
What-if
Mars: Converting search to AI assistants requires 100x data center scaling
“If you moved all of the queries that were search queries and turn them into intelligent personal assistant queries, we would have to grow our data centers by two orders of magnitude.”
Jason Mars Jul 28, 2017 ▶ 10:19 Jason Mars
Disclosure
Mars: Apple requested Sirius AI project rename, resulting in Lucida
“After Sirius gained a good bit of traction, Apple reached out to us and said, you probably should change the name. And so we're now calling it Lucida.”
Jason Mars Jul 28, 2017 ▶ 7:41 Jason Mars
Assertion Supported
Mars: Porting Sirius to GPUs and FPGAs yields 10x speedup
“We can get significant speedups when we port these algorithms To GPU, when we leverage GPUs and FPGAs to build future servers, and what that means is we can bring that scalability gap down, and so we can get about 10 X back if we move by taking these, ah, by t…”
Jason Mars Jul 28, 2017 ▶ 11:57 Jason Mars
Assertion Supported
Mars: Tech giants are building future data centers around deep learning
“Deep learning is absolutely the bet that companies are making, right? So Google has put a lot of resources into deep learning you know, Facebook. We're designing future data centers and future infrastructures around this one technique, and it's primarily becau…”
Jason Mars Jul 28, 2017 ▶ 13:15 Jason Mars
Assertion Supported
Mars: Clarity Lab's custom GPU appliance outperforms off-the-shelf deep learning tools
“Jin is a deep learning engine. It's an appliance. We co-designed a GPU box with a software stack for deep learning and it can, it beats the pants off of out-of-the-box stuff. That you can find.”
Jason Mars Jul 28, 2017 ▶ 15:13 Jason Mars
Assertion Supported
Mars: Apple built a $1 billion data center for Siri's launch
“Apple built a one billion dollar data center at the time that Siri was released.”
Jason Mars Jul 28, 2017 ▶ 2:39 Jason Mars
Assertion Supported
Mars: Compute-intensive ML algorithms drive 92% of Sirius execution workload
“And so across the entire workload, 92% of the execution of series could be described by these compute-intensive algorithms.”
Jason Mars Jul 28, 2017 ▶ 11:23 Jason Mars
Assertion Not publicly verifiable
Mars: Open-source Sirius AI system ranked number one on GitHub
“It was number one on GitHub for a couple weeks.”
Jason Mars Jul 28, 2017 ▶ 12:35 Jason Mars
Assertion Not checkable as stated
Mars: Clinc's license covers four years of future university lab research
“We have an unprecedented license agreement where in addition to all the tech we currently have, four years of future tech is also covered in our license. So as we improve it from our research lab, It's exclusively owned by Clarity Lab Inc, the improvements.”
Jason Mars Jul 28, 2017 ▶ 20:09 Jason Mars
Assertion Supported
Mars: Clarity Lab used candle wax to cool servers longer
“There's a work where we put candle wax in servers to keep them cooler longer.”
Jason Mars Jul 28, 2017 ▶ 1:01 Jason Mars
Disclosure
Mars: Sirius QA system uses the entire Wikipedia corpus for answers
“We have a QA system, a question and answer system that has at its disposal the entire corpus of Wikipedia to answer your question, and it hits that system, and the answer is plucked from the knowledge base of Wikipedia and sent to the user.”
Jason Mars Jul 28, 2017 ▶ 5:31 Jason Mars
Assertion Supported
Mars: Speech recognition shifted from Gaussian mixture models to deep neural networks
“Google used to use Gaussian mixture models in the early days, and now everyone has moved to deep neural networks. To do the speech recognition, ah, task.”
Jason Mars Jul 28, 2017 ▶ 6:39 Jason Mars
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.