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Scale alone is not enough for AI data. Quality and complexity are equally critical. Excited to support all of these for LLM developers with Snorkel AI Data-as-a-Service, and to share our new leaderboard! — Our decade-plus of research and work in AI data has a simple point: scale alone...

495,820 Aufrufe • vor 1 Jahr •via X (Twitter)

11 Kommentare

Profilbild von Alex Ratner
Alex Ratnervor 1 Jahr

Link: And if you want to start building AI with Snorkel Expert Data-as-a-Service, email us at [email protected]!

Profilbild von Places Visited & Pictures Taken
Places Visited & Pictures Takenvor 2 Jahren

How do you choose the best picture in less time?

Profilbild von Esteban Safranchik
Esteban Safranchikvor 1 Jahr

@SnorkelAI Congrats! I see what you did there with Scale 👀

Profilbild von Evi
Evivor 1 Jahr

@SnorkelAI Videographer made some money? :)

Profilbild von ElevenEleven
ElevenElevenvor 1 Jahr

@SnorkelAI Is this a clip from "Mountainhead?"

Profilbild von Richard Carfa
Richard Carfavor 1 Jahr

@SnorkelAI Structured data.

Profilbild von Sajan Kumar Kar
Sajan Kumar Karvor 1 Jahr

@SnorkelAI Yooo hire me in

Profilbild von Charlieward0
Charlieward0vor 1 Jahr

@SnorkelAI I voted for this

Profilbild von Prairieponderings
Prairieponderingsvor 1 Jahr

@SnorkelAI Did you read George Gilder's little book about AI, "Gaming AI"? Quick read. Really enjoyed it.

Profilbild von Paul from 1960s
Paul from 1960svor 1 Jahr

@SnorkelAI Humor will always be AI Achilles heel. True, wit is not within the artificial perception. Imagination is exclusive to organic wetworks of neural synapses so tiny they are interdementionable connection with an audience of one. AI is not invited. It's not a party line. Image of God

Profilbild von Matthew Dorstewitz
Matthew Dorstewitzvor 1 Jahr

@SnorkelAI What do you expect from Ai? Nobody sees coding as art, they see it as science. You’re using Ai to create art and people are already tired of it. You use AI for business, you fire loyal humans all before you even know what kind of limitations are going to be put on Ai. Disaster

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Agentic AI will transform every enterprise–but only if agents are trusted experts. The key: Evaluation & tuning on specialized, expert data. I’m excited to announce two new products to support this–Snorkel AI Evaluate & Expert Data-as-a-Service–along w/ our $100M Series D! --- Snorkel Evaluate is our new data-centric agentic AI evaluation platform for specialized, mission-critical enterprise settings where vibe checks and out-of-the-box metrics driven by simple LLM prompts are not enough. Snorkel Expert Data-as-a-Service is our white glove service for expert-level AI datasets, powering frontier LLM developers in areas like expert knowledge, reasoning, agentic action and tool use, and more! Both built on top of Snorkel AI’s Data Development Platform, using our programmatic technology to drive higher-quality expert data, faster– for getting specialized AI to real production value. If you’re building enterprise AI and want to partner around the key ingredient in AI today–the data–book a demo and let's talk! Finally, see thread for details on 🧵👇 - 📽️ A walkthrough of Snorkel Evaluate and Expert Data-as-a-Service on an agentic AI enterprise task - 📅 An upcoming event on Enterprise Agentic AI with innovators from Accenture @BNY Comcast Stanford University QBE & others - 📊 An upcoming series of benchmark datasets and model artifact releases 👀 Want early access to the full agentic AI dataset? Retweet this post and we'll send you the link!

Alex Ratner

49,734 Aufrufe • vor 1 Jahr

Here's a short preview of my interview with Rowan 🛡️ from Sapien, a really unique project which blends AI, Crypto, and drawing value from human contributors cc Trevor Koverko for visibility. Summary In this episode, Rowan Stone,co-founder and CEO of Sapien, shares his path from entrepreneur to building a mission-driven company at the intersection of AI and crypto. He discusses how Sapien is tackling one of the biggest challenges in AI: sourcing high-quality, human-generated data at scale. Rowan emphasizes the importance of aligning incentives from the start, building trust with contributors, and creating a system where real people help train more useful, nuanced AI models. The conversation touches on strategic partnerships, market demand, and how onboarding and education will define the future of the data economy. Takeaways — Rowan previously sold a company to Coinbase before launching Sapien. — Sapien’s goal is to monetize human understanding for AI training. — Real-world data from real people is essential for effective AI. — The need for labeled, high-quality data is growing exponentially. — Incentives and quality control are deeply integrated in Sapien’s model. — Onboarding and contributor education are critical for scale. — Sapien sees collaboration—not just competition—as a strength. — Upskilling contributors increases data quality and platform value. — Crypto-native incentives enable transparent, scalable coordination. Timeline (00:00) Introduction to Rowan Stone and His Background (02:55) The Vision Behind Sapien (06:06) Understanding AI and Data Annotation (09:01) The Role of Humans in AI Development (12:14) Sapien’s Unique Approach to Data Annotation (14:50) Partnerships and Customer Base (18:11) Quality Control and Community Involvement (21:13) On-Chain Coordination and Incentives (23:56) Demand for AI Data and Market Insights (29:51) The Future of Data Demand (30:44) Collaboration Over Competition (32:49) Revenue Generation in Crypto (35:31) The Two-Sided Market of Sapien (39:08) Customer Success Stories (44:35) The Role of Skills in Data Contribution (47:59) The Importance of Education and Onboarding (49:20) Inspiration and Influences (50:11) Overrated Trends in AI and Crypto (51:11) Distribution Channels for Onboarding (54:19) The Impact of TikTok on User Acquisition

papiofficial ᛤ

29,967 Aufrufe • vor 11 Monaten