Melanie Kambadur

Senior Engineering Manager, Meta · 1 appearance on the record.

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

engineerscientistexecutivefoundercs.columbia.edu/~melanie ↗

Melanie Kambadur is an engineering manager at Meta working on large language models, contributing to projects such as Llama 2, OPT, and BlenderBot. She holds a Ph.D. in Computer Science from Columbia University specializing in systems performance, and previously worked as an engineer at Oscar Health.

7statements → 7claims → 3claims resolved → 67%fully supported → 3.57/5average certainty → 1.86/5average debate potential →

2 supported 1 partly supported 0 contradicted 4 not checkable as stated how the 7 claims stand · each chip opens the sources

1 prediction · 6 assertions · every statement was checked. The prediction and assertions are the 7 claims: statements the public record can support or contradict. 3 are resolved, 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 Melanie 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

Kambadur: Stack Overflow banned ChatGPT for generating plausible but incorrect answers

“ChatGPT got banned from stack overflow because it sounded convincing, but wasn't quite right all the time.”

Melanie Kambadur Feb 2, 2023 ▶ 10:44 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

50% certainty 3

100% 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: 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 Melanie Kambadur on measured tape to publish a rate. This says nothing about how they speak.

What they said7 Episodes1

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

Assertion Partly supported

Kambadur: AI voice models replicate human speech from three seconds of audio

“So now we have voice models that can listen to Three seconds, I think, that we had recently. This new volley of your voice, and then replicate your voice. We have models that can get, like, a very short sentence and generate, like, minutes-long video that desc…”

Melanie Kambadur Feb 2, 2023 ▶ 5:10 A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg

Prediction Not checkable as stated

Kambadur: Generative 3D AI tools will vastly accelerate building the metaverse

“That's kind of like how the metaverse is gonna happen. We're gonna be able to like walk around and generated three D worlds in VR, and they're all gonna be built Much more quickly than maybe we expected a few years ago.”

Melanie Kambadur Feb 2, 2023 ▶ 7:05 A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg

Assertion Not checkable as stated

Kambadur: Triggering unsafe OpenAI outputs requires clever adversarial prompt engineering

“I've seen really huge advances from open AI's models in their responsible AI and their safety. Like now it takes a lot of clever prompt engineering is what we call, you know, using different ways of talking to the model to get it to reveal interesting stuff. I…”

Melanie Kambadur Feb 2, 2023 ▶ 14:35 A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg

Assertion Not checkable as stated

Kambadur: AI inference costs tens of cents for text, dollars for video

“Every time the user wants to call the model, it might cost, you know, tens of cents for a text model or dollars for a video model.”

Melanie Kambadur Feb 2, 2023 ▶ 15:33 A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg

Assertion Not checkable as stated

Kambadur: Synthetic data generation is a highly popular use case for LLMs

“A very popular use of these LLMs is to generate synthetic data to train other models, because they're really good at generating sort of long tail data.”

Melanie Kambadur Feb 2, 2023 ▶ 19:55 A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg

Assertion Supported

Kambadur: Stack Overflow banned ChatGPT for generating plausible but incorrect answers

“ChatGPT got banned from stack overflow because it sounded convincing, but wasn't quite right all the time.”

Melanie Kambadur Feb 2, 2023 ▶ 10:44 A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg

Assertion Supported

Kambadur: OpenAI sought top 10th percentile doctors and lawyers as data annotators

“Their model itself has gotten so good that they now need, like, extreme experts to be able to train the model, so we saw an ad for their annotators, which are the people who, like, help give feedback to the model, and they asked for, like, top 10 percentile ch…”

Melanie Kambadur Feb 2, 2023 ▶ 19:12 A Conversation on The State of AI | Melanie Kambadur, Meta & Gideon Mann, Bloomberg

Appearances (1)

Episode	Date	Speaking time
A Conversation on The State of AI \| Melanie Kambadur, Meta & Gideon Mann, Bloomberg	Feb 2, 2023	7m

Melanie Kambadur

The record, in short

Their most notable supported claim

Expressed certainty vs assessment result

How they sound: not measured why? →

Appearances (1)

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