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NeurIPS 2023 Recap — Top Startups

One last ensemble pod to close out 2023! 11 old friends and new voices, featuring CEOs and leaders of Mosaic, Fireworks, Cursor, Perplexity, Metaphor, Answer.ai, Cerebras, Voxel51, Lightning, Cohere..

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We are running an end of year listener survey! Please let us know any feedback you have, what episodes resonated with you, and guest requests for 2024! Survey link here.


We can’t think of a more Latent-Space-y way to end 2023 than with a mega episode featuring many old and new friends recapping their biggest news, achievements, and themes and memes of the year!

We previously covered the Best Papers of NeurIPS 2023, but the other part of NeurIPS being an industry friendly conference is all the startups that show up to hire and promote their latest and greatest products and papers! As a startup-friendly podcast, we of course were ready with our mics to talk to everyone we could track down1.

In lieu of an extended preamble, we encourage you to listen and click through all the interviews and show notes, all of which have been curated to match the references mentioned in the episode.

Timestamps & Show Notes

• [00:01:26] Jonathan Frankle - Chief Scientist, MosaicML/Databricks

• [00:22:11] Lin Qiao - CEO, Fireworks AI

• [00:38:24] Aman Sanger - CEO, Anysphere (Cursor)

• [00:51:14] Aravind Srinivas - CEO, Perplexity

• [01:04:26] Will Bryk - CEO, Metaphor

• [01:12:49] Jeremy Howard - CEO, Answer.ai

• [01:37:13] Joel Hestness - Principal Scientist, Cerebras

• [01:56:34] Jason Corso - CEO, Voxel51

• [02:02:39] Brandon Duderstadt - CEO, Nomic.ai

• [02:12:39] Luca Antiga - CTO, Lightning.ai

• [02:29:46] Jay Alammar - Engineering Fellow, Cohere


1

Notable misses we still hope to make happen eventually: Together, Character, Midjourney, Mistral, Weights & Biases, Huggingface, Stability, Eleuther. And basically every BigCorp we talked to including Microsoft, Google, Meta and Apple declined to speak on the record without PR clearance.

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The wiki

Sourced profiles and separately reviewed explanations connected to this post.

Person

Brandon Duderstadt

Nomic cofounder and AI researcher whose collaborative work spans open language models, reproducible embeddings, and computational approaches to how meaning changes.

1 archive post
Organization

Cerebras

Cerebras builds wafer-scale AI processors and complete computers around them, supplying training systems and low-latency inference through on-premises hardware and cloud services.

2 archive posts1 connection
Person

Jason Corso

Computer-vision researcher and Voxel51 co-founder whose joint work measures classification-dataset difficulty and screens for potential label mistakes.

1 archive post
Person

Jay Alammar

Author of The Illustrated Transformer, developer of Ecco, and coauthor of Hands-On Large Language Models, Jay Alammar explains how language models work and how developers can apply them.

1 archive post
Person

Luca Antiga

PyTorch contributor and Lightning AI CTO whose work spans inspectable model optimization, open-source developer tools, and medical imaging.

1 archive post
Grounded writeup

NeurIPS 2023 Startups, Part 1 of 4: From Model Building to Useful Products

Part 1 follows MosaicML, Fireworks and Cursor through model specialization, production inference, synthetic evaluation data and the value of reusing computation.

1 archive post
Grounded writeup

NeurIPS 2023 Startups, Part 2 of 4: Search, Shipping, and Finding Talent

Part 2 of 4 follows Cursor’s careful hiring, Perplexity’s move into model serving, Metaphor’s search architecture, and Answer.ai’s plans to make AI useful and discover overlooked talent.

1 archive post
Grounded writeup

NeurIPS 2023 Startups, Part 3 of 4: Sparse Compute and Inspectable Data

Part 3 moves from conference conversations to Cerebras’ sparse training research, FiftyOne’s dataset debugger, and Atlas’s maps of unstructured data—ending with the question of who can afford to run models.

1 archive post
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