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There are three fundamental bottlenecks to AI progress: models, chips, and data. We have model builders and chip producers, but data is the bottleneck to AI progress. Protege is the trusted data infrastructure layer that’s here to solve that. Curated, licensed, privacy-protected data, ready for AI. 2025 was a...

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Protege

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29,873 次观看 • 7 个月前 •via X (Twitter)

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8 条评论

Protege 的头像
Protege7 个月前

More from @BobbySamuels, @daisydwolf, @evajsteinman on @a16z's Raising Health Podcast, now live!

Protege 的头像
Protege7 个月前

And @daisydwolf + @evajsteinman's investment thesis in us from last month!

Engy Ziedan 的头像
Engy Ziedan7 个月前

@daisydwolf And come join our data lab!

Auren Hoffman 的头像
Auren Hoffman7 个月前

@daisydwolf go go go!

Tom Hollands 的头像
Tom Hollands7 个月前

@daisydwolf amazing company + mission. so glad to work with you 🦾

Yiwei 的头像
Yiwei7 个月前

@a16z @daisydwolf energy is the silent fourth. compute is a derivative of power capacity and we're already hitting the grid limits in some regions

Spencer Ingram 的头像
Spencer Ingram6 个月前

@daisydwolf Wait, so you can actually let AI know who has the world's best cup of coffee?

Ai Pulse 的头像
Ai Pulse7 个月前

@daisydwolf This. The paradox: we have infinite synthetic data but zero signal. Curated, licensed real-world data is worth 10x raw internet scraping. The winners in 2026 will be the ones with distribution + quality data moats, not just raw capacity.

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1/ The data parsing market for robotics is just emerging, and it’s already valued in the tens of billions. Data parsing to build data models and software for Robotics is a $20B market in 2024 and is expected to reach $150B+ by 2034 Cherry AI Robotics has built a data parsing tool for robotics, which goes live next week, and will effectively make this project one of the pioneers in data parsing for robotics.
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1/ The data parsing market for robotics is just emerging, and it’s already valued in the tens of billions. Data parsing to build data models and software for Robotics is a $20B market in 2024 and is expected to reach $150B+ by 2034 Cherry AI Robotics has built a data parsing tool for robotics, which goes live next week, and will effectively make this project one of the pioneers in data parsing for robotics.

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NeurochainAI is the all-in-one platform for developers to build AI dApps including GPU DePIN, Data Layer, and AI model layer. But what does it actually mean? AI is a $1.8 trillion industry, and NeurochainAI is tapping into 1% of that - as an infrastructure of interconnected GPUs, AI models, and data. Even simpler? Think of us as Ethereum for AI🧠🌐

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106,063 次观看 • 2 年前

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Alexandr Wang says "The US government is one of the largest producers of data in the world," but most of it is unavailable to advance American AI. He calls for a "national AI data reserve," making all public data AI-ready, and initiating "agentic government programs"—where AI acts under human supervision to serve citizens.
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Alexandr Wang says "The US government is one of the largest producers of data in the world," but most of it is unavailable to advance American AI. He calls for a "national AI data reserve," making all public data AI-ready, and initiating "agentic government programs"—where AI acts under human supervision to serve citizens.

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World Labs CEO Dr. Fei-Fei Li & SceniX Co-Founder Yunzhu Li on the data bottleneck in robotics and how world models help: "The lack of data in training, the lack of data in evaluation, this is very, very different from language models, where data is abundant on the internet." "And we know that in order for robotics to work, we have to somehow unlock the power of scaling law. But where does that come from?" "It's a profound problem that everybody's battling with in robotics." "We see a lot of unlock in being able to do this whole process through the modeling of the environments." "Being able to create these digital worlds... that's just going to unlock so much more potential for being able to replace all the costly and the unsafe data in the real environments with the data generated from the worlds for robots to be able to do scalable learning and evaluations." Fei-Fei Li Yunzhu Li martin_casado

a16z

78,086 次观看 • 2 个月前

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Model progress is no longer constrained by architecture, but by access to high-quality, human-generated data. Scraped internet data is finite, low-signal and increasingly synthetic. Kled AI pays real people to upload authentic, real world content task by task in their mobile app. We are super excited to back Avi Patel and Kled AI as they build a massive data marketplace. If you are in need of a great data partner, reach out! More from us here (we were not investors when we filmed):

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Finland President Alexander Stubb: Well, we have to be more independent in some cases. If you, for example, look at storage of personal data, obviously a lot of Europeans are angry that their personal data is stored outside of the EU. So we have to build our own data centers and our own AI factories so we can actually own the data of our own citizens. But in the end, there is no such thing as European full autonomy. You will always need to collaborate with our friends in Canada, in the US, in other partnerships around the world. ASML and other tech companies can play a crucial role both in the US and here.

Clash Report

22,413 次观看 • 2 个月前

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You asked for it, we delivered. The full keynote is live. In this keynote, we unveil our enhanced vision to become the World’s Ears for AI & Robotics. We are creating the world’s first decentralized infrastructure for real-world audio intelligence. Check-out our new website: Start training Voice AI now & get rewarded: From noise-level mapping to multilingual voice data and the future of live audio streams, Silencio is building the critical audio data layer that will power foundation models, embodied AI, autonomous vehicles, and robotics.

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AI is transforming the way businesses operate 🤖. It’s no longer just a tool, it powers decision-making, efficiency, and growth. From automating tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI isn’t magic. It needs massive amounts of high-quality data 📊. Companies like Scale AI and other Web2 giants thrive because they control the pipelines of this data, turning it into a huge competitive advantage. The problem is most of this data is locked in centralized systems 🔒, expensive, and often inaccessible for smaller companies or innovators. That’s where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By building decentralized storage and AI infrastructure, OORTECH makes data open, secure, and accessible to everyone. It’s a foundation for the next generation of AI-powered businesses, giving all innovators the chance to compete and create 🚀

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#BudgetSession2025 | Lok Sabha LoP and Congress MP Rahul Gandhi says "People talk about AI, but it's important to understand that AI on its own is absolutely meaningless because AI operates on top of data. Without data, AI means nothing. And if we look at data today, there is one thing which is very clear. Every single piece of data that comes out of the production system in the world. The data that was used to make this phone, the data that is used to make electric cars. The data that is used to make basically all electronics on the planet today is owned by China. And the consumption data is owned by the United States... China has at least a 10 year lead on India in this space. China has been working on batteries, robots, motors, optics for the last 10 years and we are behind...We would ensure that our banking system is not captured by 2-3 companies that basically do not allow you to build a production system. But our banking system is open, dynamic and accessible to small and medium businesses and to millions and millions of entrepreneurs who want to take part in this revolution. Our foreign policy would take into account this revolution. When we talk to the United States, we would not send our foreign minister to invite our Prime Minister to his coronation...Because if we had a production system and if we were working on these technologies, the American President would come here and invite the Prime Minister."

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163,581 次观看 • 1 年前

Ryan believes we could get 3-6 years of AI progress at the current pace, but in a single year, once we automated AI R&D. So a jump as big as GPT 3.5 to Mythos in a single year. A big crux is whether you'd end up bottlenecked by data. It seems to that a big source of AI progress currently is human expert data, codified into RL environments and SFT data. Ryan doesn't think human expert data is a primary driver of AI progress, and this ended up being a fruitful debate during the conversation.
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Ryan believes we could get 3-6 years of AI progress at the current pace, but in a single year, once we automated AI R&D. So a jump as big as GPT 3.5 to Mythos in a single year. A big crux is whether you'd end up bottlenecked by data. It seems to that a big source of AI progress currently is human expert data, codified into RL environments and SFT data. Ryan doesn't think human expert data is a primary driver of AI progress, and this ended up being a fruitful debate during the conversation.

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93,931 次观看 • 1 个月前

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Introducing: Advanced Data Assets™ By LayerAI 🧬 Data is used to power Big Data and AI. The increasing demand for high quality data to improve AI models will lead to new companies creating value in the global data market. The problem: current data collection methods make data fall short of its true potential. Data is limited. Building a decentralized solution where users choose to productize and earn from their data opens untapped sources of income. 🌐 Creating Advanced Data Assets™ There exists a market opportunity to create a digital blockchain-based global data marketplace. Data collected using our nodes, our native network apps, settled on LayerAI. The Advanced Data. Meet the Ecosystem that empowers users to participate in the Data Economy.

LayerAI | AI2Earn

27,136 次观看 • 2 年前

Olam Labs CEO sensho says the only two bottlenecks left to AGI and ASI are compute and data. "For AGI and ASI to come there are only two bottlenecks right now. We have no bottleneck with architecture or agents. It's data and compute." "Compute is the biggest bottleneck." "We're gonna have 10x more compute coming online in the next two years. If you're scaling law-pilled and if you're -pilled in all the ways that these AI labs are, then data is the actual bottleneck."
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Olam Labs CEO sensho says the only two bottlenecks left to AGI and ASI are compute and data. "For AGI and ASI to come there are only two bottlenecks right now. We have no bottleneck with architecture or agents. It's data and compute." "Compute is the biggest bottleneck." "We're gonna have 10x more compute coming online in the next two years. If you're scaling law-pilled and if you're -pilled in all the ways that these AI labs are, then data is the actual bottleneck."

TBPN

44,160 次观看 • 23 天前

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Databricks launches Free Edition! Explore and learn the latest data and AI technologies for free. Users can experiment with the full range of use cases – from building AI agents and applications to analyzing data with SQL – on the same platform used by millions of professionals. We’re proud to help today’s students and enthusiasts build real skills on real tools in today's competitive AI and ML job market.

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25,085 次观看 • 1 年前

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Chainbase 🤝 Assisterr We're joining forces with assisterr to redefine how AI and data interact in decentralized ecosystems. By merging Chainbase’s decentralized data infrastructure with Assisterr’s task-specific SLMs, we’re empowering communities and developers to create specialized AI models rooted in transparent, incentivized, and collaborative data workflows. Building on our four pillars—open-source access, incentivization, collaboration, and AI readiness—this partnership delivers streamlined, high-quality data pipelines for more effective, privacy-respecting AI development. We can’t wait to see developers leverage these capabilities to build practical, impactful solutions advancing Web3 and AI. To learn more, join us for the "Chainbase Discord Call - AI Agent Edition" on December 18th, where we’ll host an in-depth discussion with the Assisterr team. Read the full partnership announcement:

Chainbase (💜,💛)

100,478 次观看 • 1 年前

Today we're launching Hebbian Robotics (YC S26) Hebbian Robotics . We build APIs for evaluating data quality, without training a robotics model. Data vendors use our API to search and analyze Physical AI data at scale, getting on-demand quality signals and metrics without managing infrastructure. High-quality data is the bottleneck to the next frontier of intelligence in robotics. Buyers want data they can trust. Data providers are focused on operational excellence. They don't have the bandwidth to understand the quality of their data at scale. We're fixing this. Vendors use our APIs to understand the impact of their decisions on their data quality: - Buyers demanding per-collector hour limits? Prove compliance while we stay ahead of the workarounds. - Changed your collection SOPs? Monitor for quality drift and regression. - Suspect duplicate samples? Verify with a single API call. Before Hebbian, I trained AI models for industrial cleaning robots, and Kingston Kuan spent years building large-scale infrastructure at Jane Street.
2:17

Today we're launching Hebbian Robotics (YC S26) Hebbian Robotics . We build APIs for evaluating data quality, without training a robotics model. Data vendors use our API to search and analyze Physical AI data at scale, getting on-demand quality signals and metrics without managing infrastructure. High-quality data is the bottleneck to the next frontier of intelligence in robotics. Buyers want data they can trust. Data providers are focused on operational excellence. They don't have the bandwidth to understand the quality of their data at scale. We're fixing this. Vendors use our APIs to understand the impact of their decisions on their data quality: - Buyers demanding per-collector hour limits? Prove compliance while we stay ahead of the workarounds. - Changed your collection SOPs? Monitor for quality drift and regression. - Suspect duplicate samples? Verify with a single API call. Before Hebbian, I trained AI models for industrial cleaning robots, and Kingston Kuan spent years building large-scale infrastructure at Jane Street.

Brandon Ong

166,735 次观看 • 1 个月前

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AI is transforming the way businesses operate 🤖. It helps companies work faster, cut costs, and make smarter decisions. From automating repetitive tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI can’t function without data 📊. Massive amounts of high-quality data are required to train models and make them effective. Right now, most of this data is controlled by a few centralized giants 🔒, making it expensive, siloed, and out of reach for smaller businesses and innovators. This is where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By combining decentralized storage with AI infrastructure powered by blockchain, OORT makes data open, secure, and accessible to everyone. It’s building a foundation where businesses of all sizes can tap into AI’s full potential and compete in the AI-driven economy 🚀

Sky Wee

58,239 次观看 • 11 个月前