StarZero All shows Try the podcast clipper →

Lin Qiao

Co-Founder & CEO, Fireworks AI · 1 appearance on the record.

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

founderexecutiveengineerscientist@lqiao ↗LinkedIn ↗fireworks.ai ↗

Lin Qiao previously served as a Senior Director of Engineering at Meta, where she led the engineering teams behind the PyTorch framework. In 2022, she co-founded Fireworks AI, a generative AI platform focused on inference and model serving.

15statements → 11claims → 4claims resolved → 75%fully supported → 4/5average certainty → 1.67/5average debate potential → 4.1/5argument clarity · the sources →

3 supported 0 partly supported 1 contradicted 7 not checkable as stated how the 11 claims stand · each chip opens the sources

2 predictions · 9 assertions · 4 insights · every statement was checked. The predictions and assertions are the 11 claims: statements the public record can support or contradict. 4 are resolved, and 7 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 Lin 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
Over 500 DeepSeek model variants hit Hugging Face within a month
“DeepSeq for example, just within one month of releasing their new models, There are, despite DeepSeq model, extremely hard to tune and optimize, extremely hard. There are 500, more than 500 variants published on Hugging Face, optimizing for local device, optim…”
Lin Qiao Mar 27, 2025 ▶ 56:29 Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI

Their most notable contradicted claim

Assertion Contradicted
Fireworks AI was first to enable function calling for DeepSeek models
“We have been working on function for calling for a long time, and we are the first one to enable function calling for deep seek models.”
Lin Qiao Mar 27, 2025 ▶ 43:58 Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI

Expressed certainty vs assessment result

none yet certainty 1
none yet certainty 2
none yet certainty 3
100% certainty 4
50% 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

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

4.1 / 5 directness 3.9 · coherence 4.3 · precision 4 · compression 3.5

redirected or did not address 2 of 12 assessed questions (17%). 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? →

210 words/min while actually speaking · 56.6 um and uh per 1k words

Measured by listening to the audio itself: 7,338 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 Lin Qiao 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
Lin Qiao predicts a 10x AI cost reduction yields 100x more applications
“If this bar can be lowered by 10 times, you can imagine there's so many more, it will be hundred times more applications enter the, this arena to create a brand new experience to end consumers and prosumers. And by that, we'll see a much bigger consumption acr…”
Lin Qiao Mar 27, 2025 ▶ 51:56 Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
Insight
For AI applications, moats lie in curated data rather than user experience
“Their mode is probably not the user experience, but because it's very easy to copy. Anyone can study the product and copy. Their mode is data.”
Lin Qiao Mar 27, 2025 ▶ 54:20 Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
Prediction Not checkable as stated
Lin Qiao: The future of AI modeling belongs to open-source models
“The future of the future of modeling sits on open model side. And I believe that side is gonna be much more active in creating those hundreds or maybe thousands of expert models that is specialized delivering much better quality in certain domain.”
Lin Qiao Mar 27, 2025 ▶ 57:29 Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
Assertion Not checkable as stated
DeepSeek runs each single model replica across more than 300 GPUs
“DeepSeq actually that company itself was running and still running this model over more than 300 GPUs. So think about this deployment. One replica is 300 GPUs, and there are so many different, so many more replicas.”
Lin Qiao Mar 27, 2025 ▶ 36:10 Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
Insight
Lin Qiao: AI frameworks must reconcile researcher flexibility with strict production cost and latency constraints
“For researchers, you want the flexibility. You want ease of use. You want them to just think about what's possible, right? And for production, it's a constraint problem solving. As in, you have latency budget, you have cost budget you want to scale, you want t…”
Lin Qiao Mar 27, 2025 ▶ 4:44 Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
Insight
Lin Qiao: PyTorch's primary success lesson is that simplicity scales
“I think one of the biggest success we saw from the PyTorch experience is simplicity scales.”
Lin Qiao Mar 27, 2025 ▶ 16:26 Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
Assertion Not checkable as stated
Fireworks AI improved speculative execution hit rates from 30% to 90%
“We have seen cases improving the prediction hit from 30% to 90%, and that's huge speed.”
Lin Qiao Mar 27, 2025 ▶ 29:25 Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
Assertion Contradicted
Fireworks AI was first to enable function calling for DeepSeek models
“We have been working on function for calling for a long time, and we are the first one to enable function calling for deep seek models.”
Lin Qiao Mar 27, 2025 ▶ 43:58 Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
Assertion Supported
Over 500 DeepSeek model variants hit Hugging Face within a month
“DeepSeq for example, just within one month of releasing their new models, There are, despite DeepSeq model, extremely hard to tune and optimize, extremely hard. There are 500, more than 500 variants published on Hugging Face, optimizing for local device, optim…”
Lin Qiao Mar 27, 2025 ▶ 56:29 Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
Assertion Supported
Meta historically maintained three separate AI frameworks for mobile, research, and production
“Even within Mata, there are three different flavors. One for mobile, one for research, one for production.”
Lin Qiao Mar 27, 2025 ▶ 4:14 Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
Assertion Not checkable as stated
Meta spent five years rebuilding PyTorch's backend for internal scale
“It took us five years. Took us five years to get the stage supporting almost all internal needs using deep learning and mass and massive scale.”
Lin Qiao Mar 27, 2025 ▶ 6:48 Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
Assertion Supported
Lin Qiao: OpenAI switched completely from TensorFlow to PyTorch
“OpenAI switched to use PyTorch fully.”
Lin Qiao Mar 27, 2025 ▶ 8:00 Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
Assertion Not checkable as stated
Lin Qiao: Meta had hundreds of engineers building PyTorch and its infrastructure
“We have hundreds of engineers building PyTorch and infrastructure around PyTorch, but at the same time, I believe PyTorch within Meta probably has thousands of users.”
Lin Qiao Mar 27, 2025 ▶ 19:23 Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
Insight
LLM prompt processing is compute-bound; next-token generation is memory-bound
“Prompt processing is bottlenecked by computation, and generating next, predicting next token is bottlenecked by memory bandwidth.”
Lin Qiao Mar 27, 2025 ▶ 30:42 Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI
Assertion Not checkable as stated
Lin Qiao: Fireworks AI's optimization space has over 80,000 options
“And all these different options add up together, it can lead into more than 80,000 possible, possible way to optimize.”
Lin Qiao Mar 27, 2025 ▶ 32:38 Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI

Appearances (1)

EpisodeDateSpeaking time
Why This Ex-Meta Leader is Rethinking AI Infrastructure | Lin Qiao, CEO, Fireworks AI Mar 27, 2025 45m
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 400 conversations 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.

Try the podcast clipper Learn more