Christopher Nguyen

Co-Founder and CEO, Aitomatic · 1 appearance on the record.

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

founderexecutivescientistacademicengineer@pentagoniac ↗LinkedIn ↗aitomatic.com ↗

Christopher Cuong Nguyen co-founded big data intelligence startup Adatao (later rebranded to Arimo), which was acquired by Panasonic. Earlier in his career, he served as an engineering director at Google and co-founded the Computer Engineering program as an ECE professor at HKUST.

8statements → 8claims → 2claims resolved → 3.5/5average certainty → 2.38/5average debate potential →

1 supported 1 partly supported 0 contradicted 2 not yet assessed 4 not checkable as stated how the 8 claims stand · each chip opens the sources

4 predictions · 4 assertions · every statement was checked. The predictions and assertions are the 8 claims: statements the public record can support or contradict. 2 are resolved, 2 are not yet assessed, and 4 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 Christopher 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
Nguyen: Model communication creates a persistent bottleneck in distributed GPU clusters
“No matter how many cores you have, Even if you have an infinite number of cores, there's gonna be some amount of time needed to communication, to communicate that model.”
Christopher Nguyen Jun 16, 2016 ▶ 13:34 The Path to A.I. Augmented Human Intelligence // Christopher Nguyen, Arimo [FirstMark's Data Driven]

How they sound: speaking style how? →

241 words/min while actually speaking · 24.3 um and uh per 1k words

No argument clarity score for Christopher Nguyen: only 1 usable question→answer exchange on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.

Measured by listening to the audio itself: 4,236 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

Everything Christopher Nguyen said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Prediction Open · timeframe Jun 2066
Nguyen: Energy bounds put human-level AI compute 50 years away
“And if you compute the equivalent energy required per neuron, and extrapolating that, it'll take about 50 years to get the equivalent human brain.”
Christopher Nguyen Jun 16, 2016 ▶ 15:07 The Path to A.I. Augmented Human Intelligence // Christopher Nguyen, Arimo [FirstMark's Data Driven]
Prediction Open · timeframe Jun 2032
Nguyen: Cost parity for human-brain level AI will arrive in 16 years
“There's another metric you look at in terms of traverse edges per second. And when you look at that, and you say, well, when would it take for it to become human in terms of cost? That's in about 16 years.”
Christopher Nguyen Jun 16, 2016 ▶ 15:16 The Path to A.I. Augmented Human Intelligence // Christopher Nguyen, Arimo [FirstMark's Data Driven]
Prediction Not checkable as stated
Nguyen: Human-AI augmentation is humanity's best survival path against superintelligence
“So, my idea is, what if we could augment ourselves with this AI stuff we're building? That's probably the way out. That's probably the way we get away with this.”
Christopher Nguyen Jun 16, 2016 ▶ 16:49 The Path to A.I. Augmented Human Intelligence // Christopher Nguyen, Arimo [FirstMark's Data Driven]
Prediction Not checkable as stated
Nguyen: Brain-machine interfaces will create hyper-evolved humans within 50 years
“So, if we implement this, and we implement brain-machine interfaces, within the next 50 years, we can become that hyper-evolved being, right?”
Christopher Nguyen Jun 16, 2016 ▶ 17:21 The Path to A.I. Augmented Human Intelligence // Christopher Nguyen, Arimo [FirstMark's Data Driven]
Assertion Not checkable as stated
Nguyen: Parameter servers are the most efficient distributed deep learning architecture
“So, it turns out the fourth one is the most efficient one because it doesn't have to communicate the model back and forth anymore.”
Christopher Nguyen Jun 16, 2016 ▶ 12:28 The Path to A.I. Augmented Human Intelligence // Christopher Nguyen, Arimo [FirstMark's Data Driven]
Assertion Not checkable as stated
Nguyen: In 2016, Google Brain is at the intelligence of a cockroach
“If you look at the Google brain, it's at the level of a, about a cockroach. Ok? And it's got about a million neurons.”
Christopher Nguyen Jun 16, 2016 ▶ 14:59 The Path to A.I. Augmented Human Intelligence // Christopher Nguyen, Arimo [FirstMark's Data Driven]
Assertion Partly supported
Nguyen: Blind people can learn to see through their tongues
“And after six or eight weeks of training, blind people can learn to quote, unquote, see through their tongue, because the brain learns to detect those signals.”
Christopher Nguyen Jun 16, 2016 ▶ 16:06 The Path to A.I. Augmented Human Intelligence // Christopher Nguyen, Arimo [FirstMark's Data Driven]
Assertion Supported
Nguyen: Model communication creates a persistent bottleneck in distributed GPU clusters
“No matter how many cores you have, Even if you have an infinite number of cores, there's gonna be some amount of time needed to communication, to communicate that model.”
Christopher Nguyen Jun 16, 2016 ▶ 13:34 The Path to A.I. Augmented Human Intelligence // Christopher Nguyen, Arimo [FirstMark's Data Driven]

Appearances (1)

EpisodeDateSpeaking time
The Path to A.I. Augmented Human Intelligence // Christopher Nguyen, Arimo [FirstMark's Da Jun 16, 2016 21m
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