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Just a few months after releasing Scoot, which we feel redefined motion generation quality, our team has made substantial improvements in speed, quality, subtlety, and instruction following. This comes in concert with our newly scaled data collection and labeling efforts, compute increase, substantial architectural improvements, and more stable /... show more

Andrew Carr 🤸

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150,785 Aufrufe • vor 7 Monaten •via X (Twitter)

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Today we're launching Hebbian Robotics (YC S26) Hebbian Robotics (YC S26) . 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.

Today we're launching Hebbian Robotics (YC S26) Hebbian Robotics (YC S26) . 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

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Less than two weeks since our last update, and we've launched a new version of our perception model, Comic 4.3. It's much much faster — now the fastest pro quality motion capture! Best of all, it's just as fast for multiple characters as for a single character. And, you can batch process all your shots at the same time. So, 1 or 100 performances — super fast 🤸‍♂️ Also cool, you can use it directly in Unreal Engine, and soon Maya, Blender and Unity. Live Cartwheel. We ran some shots through different tools and timed it all to see the speed. #robotics #unreal #maya #blender #AI #unity #mocap #computervision

Less than two weeks since our last update, and we've launched a new version of our perception model, Comic 4.3. It's much much faster — now the fastest pro quality motion capture! Best of all, it's just as fast for multiple characters as for a single character. And, you can batch process all your shots at the same time. So, 1 or 100 performances — super fast 🤸‍♂️ Also cool, you can use it directly in Unreal Engine, and soon Maya, Blender and Unity. Live Cartwheel. We ran some shots through different tools and timed it all to see the speed. #robotics #unreal #maya #blender #AI #unity #mocap #computervision

Jonathan Jarvis

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"Slop" is real. It's more than a digital phenomenon. It dominates our physical lives too, in the products we use and materials we consume daily. As a result, true American Quality has become hard to find. But there is a better way. ➾ I've spent the last few weeks building a curated list of quality goods that contain zero plastics and are made to last. In most cases they are also made in the USA, in all cases they come from American companies 🇺🇸 I will be adding more items weekly, and I hope you'll join me in the return to Quality. Unslop your life.

"Slop" is real. It's more than a digital phenomenon. It dominates our physical lives too, in the products we use and materials we consume daily. As a result, true American Quality has become hard to find. But there is a better way. ➾ I've spent the last few weeks building a curated list of quality goods that contain zero plastics and are made to last. In most cases they are also made in the USA, in all cases they come from American companies 🇺🇸 I will be adding more items weekly, and I hope you'll join me in the return to Quality. Unslop your life.

Isaac 🇺🇸

222,922 Aufrufe • vor 5 Monaten

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THANK YOU, KANTANKA AUTOMOBILE We extend our heartfelt gratitude to Kantanka Automobile for your generous support to Buzstopboys through the innovative design and provision of two quadricycles. Your commitment to innovation and community impact has made our volunteer efforts easier, more efficient, and more effective. These quadricycles will enhance our ability to carry out our work by enabling us to reach more communities and serve them with greater ease. We are proud to partner with a Ghanaian company that continues to demonstrate excellence in engineering while investing in positive social change. Your support is more than a contribution to our operations,it is an investment in cleaner communities and a shared vision of building a cleaner, better Ghana. Thank you for believing in our mission and for standing with us as we work to create lasting impact. With sincere appreciation, BUZSTOPBOYS

Buzstopboys

42,404 Aufrufe • vor 1 Monat

At LinqAI, we’ve been mission-driven since day one—building competitive, revenue-generating SaaS applications. As our product line has expanded and our customer base has grown, one thing has become clear: we have an opportunity to forge a deeper connection between our SaaS innovations and the Web3 ecosystem. As we scale our SaaS offerings, our demand for compute power continues to grow. Traditionally, paying for compute means sending value outside our ecosystem—resources spent elsewhere, never to return. But what if every compute cycle contributed to the LinqAI ecosystem itself? LinqProtocol is our answer. By transforming idle computers (PCs, laptops, servers, and in the future even phones) into a global compute network, we not only secure scalable and efficient infrastructure but also strengthen the utility of $LNQ—ensuring that every workload contributes to our own decentralized future. LinqProtocol allows for arbitrary compute which means that there are virtually no limits to what can be done on LinqProtocol. From AI Training, to Synthetic Data Generation, 3D Rendering and even hosting a Website - It's all possible on LinqProtocol. ✅ On-demand, scalable compute ✅ Transparent, fair-market pricing ✅ Trustless execution with real-time tracking ✅ Governance-based dispute resolution The future of compute isn’t just more efficient. It’s owned by those who use it. It’s decentralized. And it’s coming soon. $LNQ #LinqProtocol

At LinqAI, we’ve been mission-driven since day one—building competitive, revenue-generating SaaS applications. As our product line has expanded and our customer base has grown, one thing has become clear: we have an opportunity to forge a deeper connection between our SaaS innovations and the Web3 ecosystem. As we scale our SaaS offerings, our demand for compute power continues to grow. Traditionally, paying for compute means sending value outside our ecosystem—resources spent elsewhere, never to return. But what if every compute cycle contributed to the LinqAI ecosystem itself? LinqProtocol is our answer. By transforming idle computers (PCs, laptops, servers, and in the future even phones) into a global compute network, we not only secure scalable and efficient infrastructure but also strengthen the utility of $LNQ—ensuring that every workload contributes to our own decentralized future. LinqProtocol allows for arbitrary compute which means that there are virtually no limits to what can be done on LinqProtocol. From AI Training, to Synthetic Data Generation, 3D Rendering and even hosting a Website - It's all possible on LinqProtocol. ✅ On-demand, scalable compute ✅ Transparent, fair-market pricing ✅ Trustless execution with real-time tracking ✅ Governance-based dispute resolution The future of compute isn’t just more efficient. It’s owned by those who use it. It’s decentralized. And it’s coming soon. $LNQ #LinqProtocol

LinqAI

239,673 Aufrufe • vor 1 Jahr

Today, we’re pushing a major update to Edison Analysis, our data analysis agent, which is tuned for scientific research and SOTA across data analysis benchmarks. In contrast to Kosmos, which runs for 6-12 hours and produces tens of thousands of lines of code, Edison Analysis runs for seconds to minutes and is best for specific, well-defined computational tasks. It is available both on our platform under the Analysis tab, and via API, and costs only one credit per run, so it is available to users on both free and paid tiers. Edison Analysis is a modified version of the data analysis agent Kosmos uses in its trajectories. Try it out! One of the most important improvements over our previous data analysis agents has been the addition of a specialized data retrieval tool. Edison Analysis can either use this tool to access data, or can pull data down directly via API. To evaluate this tool, we ranked the most commonly used public data repositories across recent papers from BioRxiv, and created a new benchmark that measures the ability of a language agent system to retrieve raw data from those sources. Edison Analysis gets 71% on this benchmark, and we’ll be working to increase this over time. You can read more about our benchmarks in the our blog post, link below. Some features worth highlighting: 1. Edison Analysis produces a report on the analysis it runs, along with a Jupyter notebook that you can download to reproduce the analysis yourself. Every figure it produces is linked back to the specific lines of code used to produce the figure, to make it easy to reproduce. 2. It works well with both Python and R. 3. One of the best uses for Edison Analysis is to use it to retrieve datasets that you can then analyze with Kosmos. We have a bunch of major improvements to Edison Analysis coming in the next few months that we’re excited to share. In the meantime, congratulations to the team, especially Ludovico Mitchener, Jon Laurent, Conor Igoe , Alex Andonian, and many more.

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Sam Rodriques

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Today we’re shipping some updates to our Magic AI assistant that make it more powerful, intuitive, and faster. We built these AI tools to help humans do their data work— writing queries, futzing with Python code, digging up answers— faster and with more confidence. Our goal is to augment, not replace, human insight. That means Magic isn't an "AI data analyst", because honestly, we don’t really think that should be a thing. Today's updates let you: * Generate multiple cells in your notebook with AI, chaining together SQL, Python, and Charts. * "@ mention" warehouse tables and dataframes to point Magic at specific resources. * Quickly switch between editing, fixing, and generating new cells with keyboard shortcuts * Work faster and more confidently with overall improvements to generation speed and accuracy. Check out some unedited examples of Magic being helpful in the thread below, and let us know what you think of these new features!

Today we’re shipping some updates to our Magic AI assistant that make it more powerful, intuitive, and faster. We built these AI tools to help humans do their data work— writing queries, futzing with Python code, digging up answers— faster and with more confidence. Our goal is to augment, not replace, human insight. That means Magic isn't an "AI data analyst", because honestly, we don’t really think that should be a thing. Today's updates let you: * Generate multiple cells in your notebook with AI, chaining together SQL, Python, and Charts. * "@ mention" warehouse tables and dataframes to point Magic at specific resources. * Quickly switch between editing, fixing, and generating new cells with keyboard shortcuts * Work faster and more confidently with overall improvements to generation speed and accuracy. Check out some unedited examples of Magic being helpful in the thread below, and let us know what you think of these new features!

Hex

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In our $KGN earnings call today, it sounded like it's David Shafer and I presenting but it wasn't. Our voices were AI generated and read the script. We uploaded several hours of our prior talks to train our voice model and the results were pretty incredible. This saved us a few hours preparation - valuable time we could spend working on other areas of the business. This is an example of the many one percenters across our business where AI is making us more efficient and helping the team be more productive. Our marketing team uses it to improve our content and make it more enaging. Our Engineering team uses it to get more context of our entire code base quicker and produce production ready code more rapidly. Our purchasing teams are using it for data and trend analysis to bring the latest products to our customers at even better prices. The list goes on. While the productivity gains are exciting, what's even more exciting is the pace at which things are changing and the technology is getting better!

In our $KGN earnings call today, it sounded like it's David Shafer and I presenting but it wasn't. Our voices were AI generated and read the script. We uploaded several hours of our prior talks to train our voice model and the results were pretty incredible. This saved us a few hours preparation - valuable time we could spend working on other areas of the business. This is an example of the many one percenters across our business where AI is making us more efficient and helping the team be more productive. Our marketing team uses it to improve our content and make it more enaging. Our Engineering team uses it to get more context of our entire code base quicker and produce production ready code more rapidly. Our purchasing teams are using it for data and trend analysis to bring the latest products to our customers at even better prices. The list goes on. While the productivity gains are exciting, what's even more exciting is the pace at which things are changing and the technology is getting better!

Ruslan Kogan

814,106 Aufrufe • vor 1 Jahr

In Kafka, we have topics. Producers send data to a topic, and consumers pull data from it. Each topic has multiple partitions. You might have heard your team lead say that we can simply increase the partition count to make our cluster more scalable. There is no ordering guarantee across partitions for a topic, but messages within a partition are ordered. This can be confusing initially, but think of consumer groups as subscribers: each group has multiple consumers pulling data from a topic, and the group maintains its own offset for that topic. Check out the pinned post on my profile to understand this in detail!

Abhishek Singh

16,942 Aufrufe • vor 7 Monaten

$Example-based Motion Synthesis via Generative Motion Matching paper page: present GenMM, a generative model that "mines" as many diverse motions as possible from a single or few example sequences. In stark contrast to existing data-driven methods, which typically require long offline training time, are prone to visual artifacts, and tend to fail on large and complex skeletons, GenMM inherits the training-free nature and the superior quality of the well-known Motion Matching method. GenMM can synthesize a high-quality motion within a fraction of a second, even with highly complex and large skeletal structures. At the heart of our generative framework lies the generative motion matching module, which utilizes the bidirectional visual similarity as a generative cost function to motion matching, and operates in a multi-stage framework to progressively refine a random guess using exemplar motion matches. In addition to diverse motion generation, we show the versatility of our generative framework by extending it to a number of scenarios that are not possible with motion matching alone, including motion completion, key frame-guided generation, infinite looping, and motion reassembly.$

Example-based Motion Synthesis via Generative Motion Matching paper page: present GenMM, a generative model that "mines" as many diverse motions as possible from a single or few example sequences. In stark contrast to existing data-driven methods, which typically require long offline training time, are prone to visual artifacts, and tend to fail on large and complex skeletons, GenMM inherits the training-free nature and the superior quality of the well-known Motion Matching method. GenMM can synthesize a high-quality motion within a fraction of a second, even with highly complex and large skeletal structures. At the heart of our generative framework lies the generative motion matching module, which utilizes the bidirectional visual similarity as a generative cost function to motion matching, and operates in a multi-stage framework to progressively refine a random guess using exemplar motion matches. In addition to diverse motion generation, we show the versatility of our generative framework by extending it to a number of scenarios that are not possible with motion matching alone, including motion completion, key frame-guided generation, infinite looping, and motion reassembly.

AK

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A New Era Takes Flight | Welcoming The All-New Malaysia Airlines A330neo Today, history soars higher as we welcome the arrival of our flagship Airbus A330neo, the new pride of Malaysia Airlines and our beloved nation, Malaysia. This is more than just an aircraft—it’s a symbol of our commitment to progress, excellence, and Malaysia’s spirit. With the A330neo, we embark on a bold new journey towards growth and innovation. Its state-of-the-art design, modern technology, and unparalleled comfort mark the beginning of a new chapter for our fleet and our national carrier. This isn’t just about flying; it’s about carrying the heart of Malaysia to the world—our warmth, our hospitality, and our unwavering pride for the Jalur Gemilang. This is a milestone not just for Malaysia Airlines, but for all Malaysians, as we move forward together to elevate our skies and showcase our nation to the world. Join us in celebrating this monumental step as we usher in a new era of growth, connection, and national pride. With many more A330neo to come, the future is bright, and the skies are limitless. Here’s to soaring higher, together. 🇲🇾 #MalaysiaAirlines #Airbus #A330neo #YourGatewayToAsiaandBeyond

A New Era Takes Flight | Welcoming The All-New Malaysia Airlines A330neo Today, history soars higher as we welcome the arrival of our flagship Airbus A330neo, the new pride of Malaysia Airlines and our beloved nation, Malaysia. This is more than just an aircraft—it’s a symbol of our commitment to progress, excellence, and Malaysia’s spirit. With the A330neo, we embark on a bold new journey towards growth and innovation. Its state-of-the-art design, modern technology, and unparalleled comfort mark the beginning of a new chapter for our fleet and our national carrier. This isn’t just about flying; it’s about carrying the heart of Malaysia to the world—our warmth, our hospitality, and our unwavering pride for the Jalur Gemilang. This is a milestone not just for Malaysia Airlines, but for all Malaysians, as we move forward together to elevate our skies and showcase our nation to the world. Join us in celebrating this monumental step as we usher in a new era of growth, connection, and national pride. With many more A330neo to come, the future is bright, and the skies are limitless. Here’s to soaring higher, together. 🇲🇾 #MalaysiaAirlines #Airbus #A330neo #YourGatewayToAsiaandBeyond

Malaysia Airlines

18,326 Aufrufe • vor 1 Jahr

Today, Bedrock Robotics emerges from stealth with $80M in funding led by Eclipse and 8VC to bring fully autonomous systems to the construction industry. Read more from our CEO Boris Sofman on the company vision and where we’re headed: Now, more than ever, America needs to build. Recent investments in reshoring mean we need new factories for domestic manufacturing. We need new data centers and energy solutions to power AI. And we need millions of new housing units to solve our country’s housing crisis. Demand for development has never been higher, but we have a supply problem choking our economic future. More than 500,000 construction jobs sit unfilled as critical projects stall. Bedrock is here to change that. Our Bedrock Operator transforms existing fleets of worksite equipment into fully autonomous machines, enabling builders to meet growing construction demands in the U.S. with greater quality, predictability, and safety. And in just one year, we’ve deployed our technology on test sites in AR, AZ, TX, and CA, with a list of forward-thinking partners, including Sundt Construction, Zachry Construction, Champion Site Prep, and Capitol Aggregates. And we’ve got so much more to build.

Today, Bedrock Robotics emerges from stealth with $80M in funding led by Eclipse and 8VC to bring fully autonomous systems to the construction industry. Read more from our CEO Boris Sofman on the company vision and where we’re headed: Now, more than ever, America needs to build. Recent investments in reshoring mean we need new factories for domestic manufacturing. We need new data centers and energy solutions to power AI. And we need millions of new housing units to solve our country’s housing crisis. Demand for development has never been higher, but we have a supply problem choking our economic future. More than 500,000 construction jobs sit unfilled as critical projects stall. Bedrock is here to change that. Our Bedrock Operator transforms existing fleets of worksite equipment into fully autonomous machines, enabling builders to meet growing construction demands in the U.S. with greater quality, predictability, and safety. And in just one year, we’ve deployed our technology on test sites in AR, AZ, TX, and CA, with a list of forward-thinking partners, including Sundt Construction, Zachry Construction, Champion Site Prep, and Capitol Aggregates. And we’ve got so much more to build.

Bedrock Robotics

23,663 Aufrufe • vor 1 Jahr

"PSYCHOLOGICAL" is finally yours. 🖤 Today marks Day 1 of a new era, and our hearts are overflowing. Welcome to Season 2 of the family band! PSYCHOLOGICAL is so much more than just a song to us - it’s our story, our spirit, and our vision coming to life, and we are so incredibly grateful to share it with you. To the incomparable Dann Huff, thank you for capturing the soul of this track. To our visual team, thank you for bringing all of our Southern Gothic dreams to life. And to our family at Make Wake and Nashville Harbor Records - you are absolute killers. Thank you for fighting for this art and for us. We are already feeling so much love from Country radio and all of our streaming partners - many more thank yous on the way! Play it loud, feel it all, and share the PSYCHO with everyone you love the most. Let’s goooooo fam! With all our obsession…ahem…affection, Kimberly & Johnny

"PSYCHOLOGICAL" is finally yours. 🖤 Today marks Day 1 of a new era, and our hearts are overflowing. Welcome to Season 2 of the family band! PSYCHOLOGICAL is so much more than just a song to us - it’s our story, our spirit, and our vision coming to life, and we are so incredibly grateful to share it with you. To the incomparable Dann Huff, thank you for capturing the soul of this track. To our visual team, thank you for bringing all of our Southern Gothic dreams to life. And to our family at Make Wake and Nashville Harbor Records - you are absolute killers. Thank you for fighting for this art and for us. We are already feeling so much love from Country radio and all of our streaming partners - many more thank yous on the way! Play it loud, feel it all, and share the PSYCHO with everyone you love the most. Let’s goooooo fam! With all our obsession…ahem…affection, Kimberly & Johnny

The Band Perry

14,533 Aufrufe • vor 6 Monaten

WE ARE LIVE! 🚀 It's time to dive in and experience all that our platform has to offer. Whether you're a seasoned investor or new to the world of trading, our platform is designed to meet all your needs. » Crypto » Stocks » ETFs » Commodities » Accessible with USDT! The team has worked tirelessly to bring the platform to life, and we're extremely happy that today we can finally launch it! This is only just the beginning. Over the next few months and years, we will expand our platform, aiming for MASS adoption! ⚡️ Register now at and invest in EVERYTHING with us TODAY! #DETF #RWA #live

WE ARE LIVE! 🚀 It's time to dive in and experience all that our platform has to offer. Whether you're a seasoned investor or new to the world of trading, our platform is designed to meet all your needs. » Crypto » Stocks » ETFs » Commodities » Accessible with USDT! The team has worked tirelessly to bring the platform to life, and we're extremely happy that today we can finally launch it! This is only just the beginning. Over the next few months and years, we will expand our platform, aiming for MASS adoption! ⚡️ Register now at and invest in EVERYTHING with us TODAY! #DETF #RWA #live

Decentralized ETF

40,319 Aufrufe • vor 2 Jahren

We continue our work in Washington and are soon expecting a decision on F-16s to increase the number of aircraft available to Ukraine. Yesterday, we secured 5 more Patriot systems and dozens of other air defense systems. Today, a decision on aircraft is also expected. We will also finalize two new security agreements, which include support for sanctions against Russia, our accession to the EU and NATO, the protection of our soldiers and people, and reconstruction efforts. There will be at least ten meetings with world leaders. I am grateful to our entire team for their work. Today, we will also have meetings in the U.S. Congress with both parties and both chambers. We appreciate American support and will discuss how to achieve even more positive results in our cooperation with the United States – ideally, long-range and far-reaching.

We continue our work in Washington and are soon expecting a decision on F-16s to increase the number of aircraft available to Ukraine. Yesterday, we secured 5 more Patriot systems and dozens of other air defense systems. Today, a decision on aircraft is also expected. We will also finalize two new security agreements, which include support for sanctions against Russia, our accession to the EU and NATO, the protection of our soldiers and people, and reconstruction efforts. There will be at least ten meetings with world leaders. I am grateful to our entire team for their work. Today, we will also have meetings in the U.S. Congress with both parties and both chambers. We appreciate American support and will discuss how to achieve even more positive results in our cooperation with the United States – ideally, long-range and far-reaching.

Volodymyr Zelenskyy / Володимир Зеленський

489,447 Aufrufe • vor 2 Jahren

One of the why questions we’re always asking is how can we help operations employees access inventory more efficiently? We’re taking a big leap forward by introducing DeepFleet, an exciting new AI model that makes our one million+ robot fleet work smarter. Think of DeepFleet as an intelligent traffic management system for our fulfillment centers. Just like smart traffic systems reduce congestion in cities, DeepFleet coordinates our robots’ movements to find optimal paths and reduce bottlenecks. By leveraging our deep expertise in robotics and combining it with AWS tools like SageMaker, we’ve built an AI model that learns from our extensive data on inventory movement to make real-time decisions that improve robot travel time by 10% (which at our scale is pretty significant). What makes this particularly exciting is how AI and robotics create value across the board. For customers, it means faster delivery times and lower costs. For employees, it opens up new opportunities – our robots handle physically demanding tasks and heavy lifting, making our fulfillment centers safer, while our people take on more technical roles. This combination of robotics and generative AI is just getting started, and am looking forward to what we’ll invent next.

One of the why questions we’re always asking is how can we help operations employees access inventory more efficiently? We’re taking a big leap forward by introducing DeepFleet, an exciting new AI model that makes our one million+ robot fleet work smarter. Think of DeepFleet as an intelligent traffic management system for our fulfillment centers. Just like smart traffic systems reduce congestion in cities, DeepFleet coordinates our robots’ movements to find optimal paths and reduce bottlenecks. By leveraging our deep expertise in robotics and combining it with AWS tools like SageMaker, we’ve built an AI model that learns from our extensive data on inventory movement to make real-time decisions that improve robot travel time by 10% (which at our scale is pretty significant). What makes this particularly exciting is how AI and robotics create value across the board. For customers, it means faster delivery times and lower costs. For employees, it opens up new opportunities – our robots handle physically demanding tasks and heavy lifting, making our fulfillment centers safer, while our people take on more technical roles. This combination of robotics and generative AI is just getting started, and am looking forward to what we’ll invent next.

Andy Jassy

42,327 Aufrufe • vor 1 Jahr

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 is not enough. AI success is all about the quality, complexity, and distribution of data—in addition to volume. We’re excited to be powering leading LLM developers with Snorkel AI Expert Data-as-a-Service, our white glove service for custom, expert-level AI datasets—and to now preview some of what we’re building via our new Expert Data Leaderboard (🔗 in 🧵) + upcoming OSS dataset releases! Snorkel Expert Data-as-a-Service is built to meet the rapidly evolving data needs of the agentic AI world—where success is built on the quality, complexity, and distribution of datasets, in addition to size and scale. This kind of high-quality, frontier AI data can only come from a union of technology and human expertise. With Snorkel Expert Data-as-a-Service, we’re powering frontier LLM developers across agentic, expert knowledge, reasoning, coding, multi-modal, and other task types via the combination of these two key components: - (1) The Snorkel Expert Network: A global team of subject matter experts focused wholly on specialized knowledge–spanning thousands of topics in STEM/academic, vertical/professional, and consumer/lifestyle domains. - (2) Snorkel AI Data Development Platform: Our unique programmatic data curation and quality control platform, accelerating and improving expert authoring and review through principled techniques developed over the last decade of R&D. Now: we’re incredibly excited to showcase some of the power of Snorkel Expert Data-as-a-Service via the new Snorkel Leaderboard—putting frontier models to the test in complex, agentic, and reasoning settings inspired by real industry scenarios (not esoteric puzzles)! We’ll be releasing new leaderboards and accompanying expert-verified open source datasets (coming soon!) regularly. To start, we’re sharing three initial ones in preview: - SnorkelFinance: Q&A over financial documents requiring agentic tool-calling and reasoning - SnorkelUnderwrite: Agentic insurance tasks requiring industry-specific reasoning and tool use - SnorkelSequences: Mathematical tasks requiring compositional multi-step reasoning

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 is not enough. AI success is all about the quality, complexity, and distribution of data—in addition to volume. We’re excited to be powering leading LLM developers with Snorkel AI Expert Data-as-a-Service, our white glove service for custom, expert-level AI datasets—and to now preview some of what we’re building via our new Expert Data Leaderboard (🔗 in 🧵) + upcoming OSS dataset releases! Snorkel Expert Data-as-a-Service is built to meet the rapidly evolving data needs of the agentic AI world—where success is built on the quality, complexity, and distribution of datasets, in addition to size and scale. This kind of high-quality, frontier AI data can only come from a union of technology and human expertise. With Snorkel Expert Data-as-a-Service, we’re powering frontier LLM developers across agentic, expert knowledge, reasoning, coding, multi-modal, and other task types via the combination of these two key components: - (1) The Snorkel Expert Network: A global team of subject matter experts focused wholly on specialized knowledge–spanning thousands of topics in STEM/academic, vertical/professional, and consumer/lifestyle domains. - (2) Snorkel AI Data Development Platform: Our unique programmatic data curation and quality control platform, accelerating and improving expert authoring and review through principled techniques developed over the last decade of R&D. Now: we’re incredibly excited to showcase some of the power of Snorkel Expert Data-as-a-Service via the new Snorkel Leaderboard—putting frontier models to the test in complex, agentic, and reasoning settings inspired by real industry scenarios (not esoteric puzzles)! We’ll be releasing new leaderboards and accompanying expert-verified open source datasets (coming soon!) regularly. To start, we’re sharing three initial ones in preview: - SnorkelFinance: Q&A over financial documents requiring agentic tool-calling and reasoning - SnorkelUnderwrite: Agentic insurance tasks requiring industry-specific reasoning and tool use - SnorkelSequences: Mathematical tasks requiring compositional multi-step reasoning

Alex Ratner

495,851 Aufrufe • vor 1 Jahr

36% of stop and searches in July found weapons, drugs or other evidence of offending - the highest rate we have ever recorded. This is why stop and search is one of our most important tools in tackling violence, removing weapons from our streets and helping to keep London safe. Last year, officers seized at least 3800 weapons and recovered illegal drugs on more than 27,800 occasions. We worked with communities and young people to write the Stop and Search Charter, where they told us they wanted improvements in the quality of encounters, greater transparency and better accountability. We've introduced a new charter delivery plan, bringing together a range of improvements focused on training, accountability and technology. From enhanced officer training to regular reviews of encounters, we're working to improve every stop and search interaction.

36% of stop and searches in July found weapons, drugs or other evidence of offending - the highest rate we have ever recorded. This is why stop and search is one of our most important tools in tackling violence, removing weapons from our streets and helping to keep London safe. Last year, officers seized at least 3800 weapons and recovered illegal drugs on more than 27,800 occasions. We worked with communities and young people to write the Stop and Search Charter, where they told us they wanted improvements in the quality of encounters, greater transparency and better accountability. We've introduced a new charter delivery plan, bringing together a range of improvements focused on training, accountability and technology. From enhanced officer training to regular reviews of encounters, we're working to improve every stop and search interaction.

Metropolitan Police

35,820 Aufrufe • vor 17 Tagen