Gideon Mann

Head of ML, Bloomberg LP leading AI infrastructure and research initiatives. He previously served as Head of Data Science at the company, presenting on Bloomberg's Data for Good efforts at Data Driven NYC. · 2 appearances on the record.

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

12statements → 8claims → 3claims resolved → 0%fully supported → 3.33/5average certainty → 2/5average debate potential → 2said about them ↓

0 supported 1 partly supported 2 contradicted 5 not checkable as stated how the 8 claims stand · each chip opens the sources

4 predictions · 4 assertions · 3 insights · 1 disclosure · every statement was checked. The predictions and assertions are the 8 claims: statements the public record can support or contradict. 3 are resolved, and 5 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 Gideon argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable contradicted claim

Assertion Contradicted
Mann: GitHub Copilot is likely the most widely deployed LLM application
“So far the most widely deployed application of the large language models is probably Copilot.”
Gideon Mann Feb 2, 2023 ▶ 12:07 A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg

Expressed certainty vs assessment result

none yet certainty 1
none yet certainty 2
25% certainty 3
0% certainty 4
none yet certainty 5

weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet

How they sound: speaking style how? →

236 words/min while actually speaking · 73.1 um and uh per 1k words

No argument clarity score for Gideon Mann: 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: 3,952 words across 2 episodes 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 Gideon Mann said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Prediction Not checkable as stated
Mann: Output verification will be the primary blocker for enterprise LLM deployments
“I think that's gonna be one of these evergreen problems, ah, for LLMs, and we're gonna, you know, keep trying to chew on that, ah, for a while, but that's gonna be the big blocker of a lot of the further deployments.”
Gideon Mann Feb 2, 2023 ▶ 14:01 A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg
Assertion Partly supported
Mann: GitHub Copilot saves developers about 40 percent time on new code
“They've done some studies, and it's, they, studies suggest that it saves about 40% for new code for developers to write new code.”
Gideon Mann Feb 2, 2023 ▶ 12:55 A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg
Prediction Not checkable as stated
Mann: Every software application user interface will eventually integrate an LLM
“You can imagine that every point of interface with software application, there's gonna be a point to have a large language Model in that point of interface, and I think all of those will be interesting and useful”
Gideon Mann Feb 2, 2023 ▶ 18:05 A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg
Prediction Not checkable as stated
Mann: Human intelligence is overrated, making the path to AGI more plausible
“I kind of think human intelligence is a little bit overrated. So I think I'm a little more bullish on AGI. Someone wrote, you know the large, I think it was Ilya Sutskever, you know, maybe the largest models are slightly conscious. I'm not sure I disagree. So …”
Gideon Mann Feb 2, 2023 ▶ 21:03 A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg
Insight
Mann: AI breakthroughs are an overnight success seven years in the making
“It, for me it feels like an overnight success, seven years in the making.”
Gideon Mann Feb 2, 2023 ▶ 0:33 A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg
Insight
Mann: Open source culture in academic machine learning accelerated AI innovation
“The academic machine learning community happened to be one that shared quite a bit. And so companies like Hugging Face and, you know, Google's Colab, you know, enabled sharing of code sharing of technology, and this just really increased the pace of innovation”
Gideon Mann Feb 2, 2023 ▶ 1:37 A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg
Assertion Not checkable as stated
Mann: GPT-3 was vastly better than decades of prior NLP systems
“Two years ago, I remember being shocked at GPT-III when it was released, because it was just so, I'm an old NLP guy, and it was so vastly better than anything that, that we could build for decades.”
Gideon Mann Feb 2, 2023 ▶ 2:15 A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg
Prediction Not checkable as stated
Mann: LLMs will outperform decades of prior enterprise search techniques
“When I look at the, you know, all of the LLM technology, large language model technology, it seems like it will get closer than any of the things that, that, you know, the field has been doing for the past few decades.”
Gideon Mann Feb 2, 2023 ▶ 9:11 A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg
Assertion Contradicted
Mann: GitHub Copilot is likely the most widely deployed LLM application
“So far the most widely deployed application of the large language models is probably Copilot.”
Gideon Mann Feb 2, 2023 ▶ 12:07 A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg
Insight
Mann: Unoptimized model pipelines mean AI development is still in early stages
“I think we're still early. I think On, on, on, for two reasons. I think one is, ah, the, you know, to Melanie's point, the amount of tuning and optimization across the entire pipeline is, is really premature.”
Gideon Mann Feb 2, 2023 ▶ 16:31 A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg
Assertion Contradicted
NYC used building water flow rates to detect illegal overcrowding
“They did things like figure out what buildings to inspect which might be overcrowding by looking at max mix-ups between the stated building occupancy rates and the water flow rates.”
Gideon Mann Jun 19, 2015 ▶ 3:18 Gideon Mann, Bloomberg // Doing Good is Good Business (Hosted by FirstMark Capital)
Disclosure
Bloomberg's emerging model: selling data feeds to machines, not just humans
“We also sell this as a data feed which is an interesting kind of emerging model for our business is how do we provide data not just to people but also to machines.”
Gideon Mann Jun 19, 2015 ▶ 1:00 Gideon Mann, Bloomberg // Doing Good is Good Business (Hosted by FirstMark Capital)

The other half of the tape: Gideon Mann's own voice is left out of every number here. Other people bring the name up 2 times in 2 episodes on the MAD Podcast. every mention, with the transcript →

Who brings them up most Natalie Evans-Harris 1Amanda Stent 1

Every mention by year

tap a year for its mentions
0011222018episodesmentions
0122018episodes it came up in
000.51122018episodesmentions per episode

Appearances (2)

EpisodeDateSpeaking time
A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg Feb 2, 2023 9m
Gideon Mann, Bloomberg // Doing Good is Good Business (Hosted by FirstMark Capital) Jun 19, 2015 12m
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