Pingchuan Ma

573 posts

Pingchuan Ma

Pingchuan Ma

@openpcma

@meta @openai @mit_csail

Katılım Şubat 2014
1.9K Takip Edilen2.7K Takipçiler
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Meta Newsroom
Meta Newsroom@MetaNewsroom·
Today we’re introducing Meta AI Voice Conversations powered by Muse Spark that let you talk naturally to Meta AI (interrupt, switch topics, or swap languages), and as you talk, Meta AI can generate images and pull up recommendations from Reels, maps, and more. We’re also bringing live AI to the app, so you can point your camera at the world and ask about what you’re seeing in real time. about.fb.com/news/2026/04/i…
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Thinking Machines
Thinking Machines@thinkymachines·
People talk, listen, watch, think, and collaborate at the same time, in real time. We've designed an AI that works with people the same way. We share our approach, early results, and a quick look at our model in action. thinkingmachines.ai/blog/interacti…
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Jiayi Weng
Jiayi Weng@Trinkle23897·
Codex grew programmatic policies with no neural nets: max score on Breakout, and SOTA-level scores on MuJoCo. Maybe heuristics were not too weak. Maybe they were just too expensive to maintain. Maybe it's the next paradigm. trinkle23897.github.io/learning-beyon…
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Genesis AI
Genesis AI@gs_ai_·
We are back. After one year of quiet building. Introducing GENE-26.5, our first robotic brain that takes a major step toward human-level capability. For years, robotics has struggled to learn from the world’s largest and valuable data source: Humans. Solving it means rethinking the whole stack from the ground up: - A robotics-native foundation model. - A 1:1 human-like robotic hand. - A noninvasive data collection glove for motion, force, and touch. - A simulator that turns weeks of experiments into minutes. GENE-26.5 is trained across language, vision, proprioception, tactile, and action. We designed a set of tasks to test how far we can go with this new paradigm. Fully autonomous, 1x speed, one model, same weights. (Enjoy with sound on) We are approaching the endgame for robotics. And this is just a beginning.
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Ryan Hanrui Wang
Ryan Hanrui Wang@hanrui_w·
I’ve been reflecting a lot on this journey, and I feel incredibly grateful. To the Eigen AI team: thank you for choosing to build something hard together, and for bringing so much ambition, intensity, and care every day. I’m truly proud of what we have built, and even more grateful that we get to continue this next chapter together. To our customers and developers: thank you for trusting us early, bringing us meaningful problems to solve, and shaping Eigen through your feedback, partnership, and belief in what we were building. To our advisors, investors, and supporters: thank you for believing in us early, guiding us along the way, challenging us to think bigger, and standing with us through every stage of the journey. And to the Nebius team: thank you for the conviction, trust, and partnership throughout this process. We’re excited to join forces, keep building with the same ambition, and take this next chapter even further. This milestone would not have been possible without all of you. I’m deeply thankful, proud of what we have built together, and excited for what comes next! ❤️
Eigen AI@Eigen_AI_Labs

Today, we're announcing that Eigen AI is joining Nebius (NASDAQ: NBIS). From day one, our mission has been Artificial Efficient Intelligence — building the world's most efficient engines for generating intelligence. Together with Nebius, we're working toward the best AI cloud, uniting Eigen's full-stack model and inference software, ranked #1 on Artificial Analysis for inference speed, with Nebius's global hardware and infrastructure footprint, so any developer or enterprise can run the best models at the best price, with no capacity ceiling. After close, Eigen's optimization stack will be integrated directly into Nebius Token Factory. The entire Eigen AI team is joining Nebius in full, establishing Nebius's engineering and research presence in the San Francisco Bay Area. To our customers, our team, our investors at Tectonic Ventures, E14 Fund, Uncorrelated Ventures, and AGI House Ventures, our angel investors, advisors, mentors, and supporters — and to the Nebius team for the conviction and partnership — thank you. The mission doesn't change. The leverage behind it does. Ryan Hanrui Wang, co-founder and CEO of Eigen AI, said: “We’re proud to join Nebius and work alongside the Token Factory team to push the boundaries of inference performance. Nebius has built a world-class AI cloud with a deep engineering culture that perfectly aligns with our own. Together, we are removing the friction of AI model customization and deployment so developers can run models reliably in production without managing the underlying infrastructure.” Full announcement at: eigenai.com/blog/eigen-ai-…

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DeepSeek
DeepSeek@deepseek_ai·
🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length. 🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models. 🔹 DeepSeek-V4-Flash: 284B total / 13B active params. Your fast, efficient, and economical choice. Try it now at chat.deepseek.com via Expert Mode / Instant Mode. API is updated & available today! 📄 Tech Report: huggingface.co/deepseek-ai/De… 🤗 Open Weights: huggingface.co/collections/de… 1/n
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Shunyu Yao
Shunyu Yao@ShunyuYao12·
Our goal is to build practical models with comprehensive capabilities beyond open benchmarks. And the only way to do it to co-design with diverse products while scaling solidly. Tencent has the best product ecosystem and a solid, low-ego culture, and we are just getting started!
Tencent Hy@TencentHunyuan

👋Hi /haɪ/, we're the Tencent Hy /haɪ/ team🐧 Today, we open source Hy3 preview (295B A21B), a leading reasoning and agent model in its size, with great cost efficiency. Give us feedback to help improve Hy3 official! 🤗 hf.co/tencent/Hy3-pr… 📖 hy.tencent.com/hy3-preview

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Jack Rae
Jack Rae@jack_w_rae·
Nice debut from Muse Spark in the Agentic Coding arena. Ranking ahead of GPT 5.4 and Gemini models, and behind the Opus series + GLM 5.1.
Arena.ai@arena

Muse Spark debuts at #7 in the Code Arena - making @AIatMeta the #3 lab right behind @AnthropicAI’s Claude Sonnet 4.6 and @Zai_org’s GLM-5.1, surpassing Gemini-3.1-Pro and GPT-5.4. Code Arena evaluates agentic coding on real-world tasks - building live websites and apps, ranked by users on real workflows. Huge congrats to @AIatMeta on this impressive milestone!

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Boyuan Chen
Boyuan Chen@BoyuanChen0·
This is what I’ve been cooking in the past 4 months . GPT Image 2 is over a massive 240 elo jump over the second place model, marking the biggest jump bigger than the rest of the leaderboard combined
Arena.ai@arena

Exciting news - GPT-Image-2 by @OpenAI has claimed the #1 spot across all Image Arena leaderboards! A clean sweep with a record-breaking +242 point lead in Text-to-Image - the largest gap we’ve seen to date. - #1 Text-to-Image (1512), +242 over #2 (Nano-banana-2 with web-search aka gemini-3.1-flash-image) - #1 Single-Image Edit (1513), +125 over #2 (Nano-banana-pro aka gemini-3-pro-image) - #1 Multi-Image Edit (1464), +90 over #2 (Nano-banana-2) No model has dominated Image Arena with margins this wide. Huge congratulations to @OpenAI on this major breakthrough in image generation! More performance breakdowns by category in the thread below.

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Summer Yue
Summer Yue@summeryue0·
🚀 Muse Spark Safety & Preparedness Report for Meta AI is out. We start with our pre-deployment assessment under Meta's Advanced AI Scaling Framework, covering chemical and biological, cybersecurity, and loss of control risks. Our assessment flagged potentially elevated chem/bio risk, so we implemented safeguards and validated mitigations before deployment - bringing residual risk to within acceptable levels. Beyond the Framework, we also share findings and early explorations of model behavior (honesty, intent understanding, etc.), jailbreak robustness, eval awareness, and more. We're sharing this report to give a closer look at how we evaluate advanced AI safety. Always more work to do, and we welcome feedback from the community. ai.meta.com/static-resourc…
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Elaine Ya Le
Elaine Ya Le@ElaineYaLe6·
Muse spark 🥑 is here! 9 months ago we started from scratch. Today we’ve rebuilt the entire stack and shipped a well-rounded, multimodal, and agent-native model. This is just the beginning of a new era toward personal superintelligence. We’re early, but the momentum is real. Give it a try at meta.ai — would love your feedback!
Alexandr Wang@alexandr_wang

1/ today we're releasing muse spark, the first model from MSL. nine months ago we rebuilt our ai stack from scratch. new infrastructure, new architecture, new data pipelines. muse spark is the result of that work, and now it powers meta ai. 🧵

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Hongyu Ren
Hongyu Ren@ren_hongyu·
Check out Muse Spark, our first milestone in the quest for personal superintelligence! Scaling this with the team has been a total blast. Give it a spin and let us know what you think! 🥑
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Scale AI
Scale AI@scale_AI·
Breaking: @AIatMeta just released Muse Spark — now live across @ScaleAILabs leaderboards. Here’s how it stacks up: Tied for 🥇on SWE-Bench Pro Tied for 🥇on HLE Tied for 🥇on MCP Atlas Tied for 🥇on PR Bench - Legal Tied for 🥈on SWE Atlas Test Writing 🥈on PR Bench - Finance 🥉on SWE Atlas QnA
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Vals AI
Vals AI@ValsAI·
Meta just released a frontier model, Muse Spark- it takes the #3 spot on our Vals Index.
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Shengjia Zhao
Shengjia Zhao@shengjia_zhao·
Excited to share what we’ve been building at Meta Superintelligence Labs! We just released Muse Spark, our first AI model. It's a natively multimodal reasoning model and the first step on our path to personal superintelligence. We've overhauled our entire stack to support scaling, and this is just the beginning. ai.meta.com/blog/introduci…
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