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Today we are launching the next phase of AI reasoning development with Founders Fund, Franklin Templeton, Pantera Capital, Fireworks AI, OpenRouter, OpenHands, Dedalus Labs, alphaXiv, and more. AI is advancing at a relentless pace, but there are many reasoning capabilities we have yet to discover. Announcing Arena—an evaluation-driven platform...

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Sentient

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271,979 görüntüleme • 4 ay önce •via X (Twitter)

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Applications are now live! Cohort 0 starts March 13th in Presidio with OpenHands, OpenRouter, alphaXiv, Fireworks, Dedalus Labs, Franklin Templeton, Founders Fund and Pantera. → $25K+ in prizes → 3 weeks building state-of-the-art AI agents → Many more surprises Apply below 👇
0:29

Applications are now live! Cohort 0 starts March 13th in Presidio with OpenHands, OpenRouter, alphaXiv, Fireworks, Dedalus Labs, Franklin Templeton, Founders Fund and Pantera. → $25K+ in prizes → 3 weeks building state-of-the-art AI agents → Many more surprises Apply below 👇

Sentient

138,247 görüntüleme • 4 ay önce

🚨 Big news for AI innovation: Claude Opus 4 and Claude Sonnet 4, Anthropic's most advanced models, are now available in Amazon Bedrock. These powerful models offer hybrid reasoning, 200K token context windows, and are designed for AI agents. From financial analysis to high-quality writing, to enhanced reasoning, coding, agentic capabilities and more—all with the enterprise-grade security of Amazon Web Services.
0:30

🚨 Big news for AI innovation: Claude Opus 4 and Claude Sonnet 4, Anthropic's most advanced models, are now available in Amazon Bedrock. These powerful models offer hybrid reasoning, 200K token context windows, and are designed for AI agents. From financial analysis to high-quality writing, to enhanced reasoning, coding, agentic capabilities and more—all with the enterprise-grade security of Amazon Web Services.

Amazon

123,030 görüntüleme • 1 yıl önce

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!
5:42

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

49,924 görüntüleme • 1 yıl önce

Open sourcing Dynamic Graph Memory by mem0. Memory is fundamental to human reasoning, shaping how we approach tasks and make decisions. At Mem0, we believe that AI agents & apps should reflect this principle. Our Dynamic Graph Memory emulates human memory, advancing AI agents toward more intelligent, human-like reasoning. This is a significant step forward in building AI that truly understands and interacts with the world like we do. All credit to Dev Khant Deshraj Yadav Prateek Chhikara for their countless nights spent on bringing this to life. Link:
0:26

Open sourcing Dynamic Graph Memory by mem0. Memory is fundamental to human reasoning, shaping how we approach tasks and make decisions. At Mem0, we believe that AI agents & apps should reflect this principle. Our Dynamic Graph Memory emulates human memory, advancing AI agents toward more intelligent, human-like reasoning. This is a significant step forward in building AI that truly understands and interacts with the world like we do. All credit to Dev Khant Deshraj Yadav Prateek Chhikara for their countless nights spent on bringing this to life. Link:

Taranjeet

51,129 görüntüleme • 1 yıl önce

Today we announced the Kaggle Game Arena, a new benchmarking platform where AI models and agents can compete head-to-head in strategic games, starting with chess ♟️. Why games, you ask? 🤔 Games are perfect for AI evaluation because they help us understand how models tackle complex reasoning tasks. Many games are a proxy for real-world skills and can test a model's ability in areas like strategic planning, adaptation, and memory. To inaugurate the Game Arena, we're launching an AI chess exhibition tournament. The world’s leading AI models will battle in head-to-head games in a multi-day event running from August 5-7 with streamed games happening daily. Tune-in to root for your favorites at
0:38

Today we announced the Kaggle Game Arena, a new benchmarking platform where AI models and agents can compete head-to-head in strategic games, starting with chess ♟️. Why games, you ask? 🤔 Games are perfect for AI evaluation because they help us understand how models tackle complex reasoning tasks. Many games are a proxy for real-world skills and can test a model's ability in areas like strategic planning, adaptation, and memory. To inaugurate the Game Arena, we're launching an AI chess exhibition tournament. The world’s leading AI models will battle in head-to-head games in a multi-day event running from August 5-7 with streamed games happening daily. Tune-in to root for your favorites at

Google AI

132,070 görüntüleme • 11 ay önce

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
1:11

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

495,827 görüntüleme • 1 yıl önce

Hiring RL Engineer! Started off as a curious project at Lossfunk to push the boundaries of LLMs in social reasoning - we are now building RL environments, data, and benchmarks to simulate more real-world scenarios. If you want to train SoTA RL models over multi-GPUs (H200s/B200s) to unlock next AI frontier, this is for you.
1:21

Hiring RL Engineer! Started off as a curious project at Lossfunk to push the boundaries of LLMs in social reasoning - we are now building RL environments, data, and benchmarks to simulate more real-world scenarios. If you want to train SoTA RL models over multi-GPUs (H200s/B200s) to unlock next AI frontier, this is for you.

Satpal Singh Rathore

45,974 görüntüleme • 11 ay önce

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:
0:32

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 görüntüleme • 1 yıl önce

#AGIBOTAIWeek Day 3: Introducing GO-2: the next-generation foundation model for embodied AI, built to unify reasoning and action. To truly bridge “thinking” and “doing,” embodied AI must solve two challenges at once: • It generate executable action plans through deep spatial reasoning • It deliver stable execution in real-world environments GO-2 tackles both with a comprehensive architecture: Action Chain-of-Thought for action reasoning, and an Asynchronous Dual-System for robust execution. #AGIBOT #AGIBOTAIWeek #Foundation #model #EmbodiedAI Official account tags X: AGIBOT LinkedIn: agibot
2:55

#AGIBOTAIWeek Day 3: Introducing GO-2: the next-generation foundation model for embodied AI, built to unify reasoning and action. To truly bridge “thinking” and “doing,” embodied AI must solve two challenges at once: • It generate executable action plans through deep spatial reasoning • It deliver stable execution in real-world environments GO-2 tackles both with a comprehensive architecture: Action Chain-of-Thought for action reasoning, and an Asynchronous Dual-System for robust execution. #AGIBOT #AGIBOTAIWeek #Foundation #model #EmbodiedAI Official account tags X: AGIBOT LinkedIn: agibot

Hasan Toor

36,202 görüntüleme • 3 ay önce

Edison Scientific is launching today, with our launch of Kosmos, the most powerful AI Scientist released yet. We are a spinout from FutureHouse, focused on building and commercializing AI agents for science. Try our newest agents, including Kosmos, on our platform today.
0:44

Edison Scientific is launching today, with our launch of Kosmos, the most powerful AI Scientist released yet. We are a spinout from FutureHouse, focused on building and commercializing AI agents for science. Try our newest agents, including Kosmos, on our platform today.

Edison Scientific, Inc

44,090 görüntüleme • 8 ay önce

Yesterday we announced we are joining forces with Stereolabs to accelerate the development of a unified sensing and perception platform for Physical AI We're combining high-resolution digital lidar with stereo cameras and AI compute to offer the first end-to-end sensing and perception stack, enabling machines to sense, think, act, and learn faster and with more precision To the autonomy engineers building the next-generation on Physical AI: we're here to accelerate your development from prototype to production. Welcome to the next chapter of Ouster 🤖
0:37

Yesterday we announced we are joining forces with Stereolabs to accelerate the development of a unified sensing and perception platform for Physical AI We're combining high-resolution digital lidar with stereo cameras and AI compute to offer the first end-to-end sensing and perception stack, enabling machines to sense, think, act, and learn faster and with more precision To the autonomy engineers building the next-generation on Physical AI: we're here to accelerate your development from prototype to production. Welcome to the next chapter of Ouster 🤖

Ouster

14,291 görüntüleme • 5 ay önce

Arena reached a $100M annual revenue run rate just 8 months after launching our evaluation product. We started as a research project at UC Berkeley with a simple mission: measure AI progress through real-world use. As AI shifts from chatbots to agents taking on longer, higher-stakes work, the problem matters more than ever. Today, Arena measures real-world AI utility with a community of tens of millions. With Agent Arena, we’re evaluating long-running agents on complex, real-world tasks - how they use tools, adapt to feedback, recover from errors, and accomplish goals set by humans. We are excited to keep deepening our work in agentic evaluations. Here’s Anastasios Nikolas Angelopoulos on what this milestone means and where we go from here:
1:26

Arena reached a $100M annual revenue run rate just 8 months after launching our evaluation product. We started as a research project at UC Berkeley with a simple mission: measure AI progress through real-world use. As AI shifts from chatbots to agents taking on longer, higher-stakes work, the problem matters more than ever. Today, Arena measures real-world AI utility with a community of tens of millions. With Agent Arena, we’re evaluating long-running agents on complex, real-world tasks - how they use tools, adapt to feedback, recover from errors, and accomplish goals set by humans. We are excited to keep deepening our work in agentic evaluations. Here’s Anastasios Nikolas Angelopoulos on what this milestone means and where we go from here:

Arena.ai

205,797 görüntüleme • 16 gün önce

How is an open ecosystem powering the next generation of AI for developers? Recording live from the heart of the action at AMD's Advancing AI 2025, Chain of Thought host Conor Bronsdon welcomes AMD’s Anush Elangovan, VP of AI Software, and Sharon Zhou, VP of AI. Together they unpack AMD's groundbreaking transformation from a hardware giant to a leader in full-stack AI, committed to an open ecosystem. Discover how new MI350 GPUs deliver mind-blowing performance with advanced data types and why ROCm 7 and AMD Developer Cloud offer Day Zero support for frontier models. This relentless pace of hardware and software innovation is reshaping the AI landscape. Then Conor welcomes Sharon Zhou, VP of AI at AMD, to discuss making AMD's powerful software stack truly accessible and how to drive developer curiosity. Sharon explains strategies for creating a "happy path" for community contributions, fostering engagement through teaching, and listening to developers at every stage. She shares her predictions for the future, including the rise of self-improving AI, the critical role of heterogeneous compute, and the potential of "vibes based feedback" to guide models. This vision for democratizing access to high-performance AI, driven by a deep understanding of the developer journey, promises to unlock the next generation of applications. 00:00 Live from AMD's Advancing AI 2025 Event 00:30 Introduction to Anush Elangovan 01:38 The MI350 GPU Series Unveiled 04:57 CDNA4 Architecture Explained 07:00 The Future of AI Infrastructure 08:32 AMD's Developer Cloud and ROCm 7 11:50 Cultural Shift at AMD 14:48 Open Source and Community Contributions 18:35 Software Longevity and Ecosystem Strategy 22:19 AI Agents and Performance Gains 27:36 AI's Role in Solving Power Challenges 28:11 Thanking Anush 28:42 Introduction to Sharon Zhou 29:45 Sharon's Focus at AMD 30:39 Engaging Developers with AMD's AI Tools 31:24 Listening to the AI Community 33:56 Open Source and AI Development 45:04 Future of AI and Self-Improving Models 48:04 Final Thoughts and Farewell
49:13

How is an open ecosystem powering the next generation of AI for developers? Recording live from the heart of the action at AMD's Advancing AI 2025, Chain of Thought host Conor Bronsdon welcomes AMD’s Anush Elangovan, VP of AI Software, and Sharon Zhou, VP of AI. Together they unpack AMD's groundbreaking transformation from a hardware giant to a leader in full-stack AI, committed to an open ecosystem. Discover how new MI350 GPUs deliver mind-blowing performance with advanced data types and why ROCm 7 and AMD Developer Cloud offer Day Zero support for frontier models. This relentless pace of hardware and software innovation is reshaping the AI landscape. Then Conor welcomes Sharon Zhou, VP of AI at AMD, to discuss making AMD's powerful software stack truly accessible and how to drive developer curiosity. Sharon explains strategies for creating a "happy path" for community contributions, fostering engagement through teaching, and listening to developers at every stage. She shares her predictions for the future, including the rise of self-improving AI, the critical role of heterogeneous compute, and the potential of "vibes based feedback" to guide models. This vision for democratizing access to high-performance AI, driven by a deep understanding of the developer journey, promises to unlock the next generation of applications. 00:00 Live from AMD's Advancing AI 2025 Event 00:30 Introduction to Anush Elangovan 01:38 The MI350 GPU Series Unveiled 04:57 CDNA4 Architecture Explained 07:00 The Future of AI Infrastructure 08:32 AMD's Developer Cloud and ROCm 7 11:50 Cultural Shift at AMD 14:48 Open Source and Community Contributions 18:35 Software Longevity and Ecosystem Strategy 22:19 AI Agents and Performance Gains 27:36 AI's Role in Solving Power Challenges 28:11 Thanking Anush 28:42 Introduction to Sharon Zhou 29:45 Sharon's Focus at AMD 30:39 Engaging Developers with AMD's AI Tools 31:24 Listening to the AI Community 33:56 Open Source and AI Development 45:04 Future of AI and Self-Improving Models 48:04 Final Thoughts and Farewell

Galileo

37,186 görüntüleme • 1 yıl önce

Papers With Code SOTA is back 🚀 We used Gemini 3 to process millions of charts and tables across arXiv + the web to surface state-of-the-art AI research in reasoning, computer-use, OCR, and more Track the best-performing methods and see which benchmarks are getting adopted
0:36

Papers With Code SOTA is back 🚀 We used Gemini 3 to process millions of charts and tables across arXiv + the web to surface state-of-the-art AI research in reasoning, computer-use, OCR, and more Track the best-performing methods and see which benchmarks are getting adopted

alphaXiv

17,856 görüntüleme • 7 ay önce