May Habib

Co-Founder, Writer · 1 appearance on the record.

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

May Habib is the co-founder of enterprise generative AI platform Writer. She previously led Qordoba and focuses on graph-based RAG approaches and autonomous AI workflows.

12statements → 6claims → 1claims resolved → 4.25/5average certainty → 2.33/5average debate potential → 4.1/5argument clarity · the sources →

0 supported 0 partly supported 1 contradicted 5 not checkable as stated how the 6 claims stand · each chip opens the sources

1 prediction · 5 assertions · 2 insights · 4 disclosures · every statement was checked. The prediction and assertions are the 6 claims: statements the public record can support or contradict. 1 is 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 May 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
Vector RAG requires full re-indexing for single-file updates, Habib claims
“And when that policy, even one policy gets updated, you're throwing away the entire embedding store and starting over.”
May Habib Nov 21, 2024 ▶ 16:12 Building the Easy Button for Generative AI | May Habib, CEO, Writer

Argument clarity: do they answer the question? how? →

4.1 / 5 directness 4.5 · coherence 4.1 · precision 3.9 · compression 3.5

redirected or did not address 1 of 8 assessed questions (13%). Watch them ▸

This is a score against a rubric. It is not a rank. Every host question → answer exchange is scored with names hidden on directness, coherence, precision and compression, 1–5 each, on meaning alone: disfluencies are ignored, and only raw unedited episodes count. This is the score that measures thought. Every scored exchange, scores shown → · The rubric and its checks →

How they sound: speaking style how? →

227 words/min while actually speaking · 36.6 um and uh per 1k words

Measured by listening to the audio itself: 5,130 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 May Habib 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
Habib predicts AI will be able to run companies within five years
“This is AI that in three to five years is going to be able to run companies.”
May Habib Nov 21, 2024 ▶ 26:52 Building the Easy Button for Generative AI | May Habib, CEO, Writer
Insight
Enterprise AI drives 500% capacity shifts, not just 10% productivity gains
“None of this is about productivity, right? You being able to go through Three decades of consumer research on Listerine to be able to develop a new flavor, right? You being able to develop all of the go to market around that new product in literally a third of…”
May Habib Nov 21, 2024 ▶ 33:56 Building the Easy Button for Generative AI | May Habib, CEO, Writer
Insight
Vector RAG struggles with nested tables and overlapping context, Habib explains
“When you are doing a vector-based approach, you're going through, and you are, you've chunked Right, that policy, and, you know, against the prompt, you are trying to find the most relevant chunks, right, in that policy, which means it does really badly, right…”
May Habib Nov 21, 2024 ▶ 15:28 Building the Easy Button for Generative AI | May Habib, CEO, Writer
Assertion Contradicted
Vector RAG requires full re-indexing for single-file updates, Habib claims
“And when that policy, even one policy gets updated, you're throwing away the entire embedding store and starting over.”
May Habib Nov 21, 2024 ▶ 16:12 Building the Easy Button for Generative AI | May Habib, CEO, Writer
Disclosure
Writer trained its Palmyra X 004 model using just $700k in compute
“Just on GPUs, but yeah.”
May Habib Nov 21, 2024 ▶ 23:31 Building the Easy Button for Generative AI | May Habib, CEO, Writer
Assertion Not checkable as stated
A customer rebuilt Habib's previous startup Qordoba over a single weekend
“We had a customer basically in a weekend rebuild Cordoba using Writer.”
May Habib Nov 21, 2024 ▶ 6:20 Building the Easy Button for Generative AI | May Habib, CEO, Writer
Disclosure
Writer relied on GPT-3 for only a brief three-month period
“So we, we've always had our own technology down to the LLM. There was a very brief period, literally like three months, where we, for some of our apps, used GPT-III because it was just so much better.”
May Habib Nov 21, 2024 ▶ 7:22 Building the Easy Button for Generative AI | May Habib, CEO, Writer
Disclosure
Writer stores its knowledge graph as flat JSON in Postgres
“I mean, it is a flat JSON file. This is stored in a Postgres database. It's not even, A graph database.”
May Habib Nov 21, 2024 ▶ 13:12 Building the Easy Button for Generative AI | May Habib, CEO, Writer
Disclosure
Writer provides 1B randomized tokens for customers to audit copyright compliance
“We give folks, this is another reason we build our own models, a billion randomized tokens that they can query themselves to validate that we use copyright free information and that, you know, our bias and toxicity distribution is what we say it is”
May Habib Nov 21, 2024 ▶ 25:58 Building the Easy Button for Generative AI | May Habib, CEO, Writer
Assertion Not checkable as stated
A Fortune 50 CIO personally demoed an eight-person AI startup
“I mean, literally, I was talking to a CIO yesterday. Fortune 50 had just taken personally a demo from an eight-person startup, because people are so curious.”
May Habib Nov 21, 2024 ▶ 28:05 Building the Easy Button for Generative AI | May Habib, CEO, Writer
Assertion Not checkable as stated
Hyperscalers spend more on single enterprises than AI startups raise total
“The consultancies and the strategic advisory firms and every hyperscaler can literally throw more innovation dollars at the enterprise than you will raise in three years from venture capital, right?”
May Habib Nov 21, 2024 ▶ 28:28 Building the Easy Button for Generative AI | May Habib, CEO, Writer
Assertion Not checkable as stated
L'Oréal had built around 180 applications using Writer by late 2023
“This was L'Oreal about a year ago, you know, literally like a 180 apps, and we needed help, right?”
May Habib Nov 21, 2024 ▶ 21:47 Building the Easy Button for Generative AI | May Habib, CEO, Writer

Appearances (1)

EpisodeDateSpeaking time
Building the Easy Button for Generative AI | May Habib, CEO, Writer Nov 21, 2024 28m
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