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HeroUI Native RC 2 just dropped! 🚀 🎛️ Introducing Slider, ListGroup & SearchField ✅ Select now supports multi-choice 🎨 Refined Button & PressableFeedback 🛠️ Fixes and performance tweaks Final release is approaching ✨

HeroUI

22,218 subscribers

12,207 次观看 • 4 个月前 •via X (Twitter)

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Just dropped HeroUI Native v1.0.0-alpha.9 🚀 ✨ New components 🔧 Refactors 🐛 Fixes We’re not just shipping code - we’re testing how it fits into real scenarios. That’s why we’re building showcase UIs inspired by real cases. First battle case: Onboarding step ⚡️️ Built with Card, DropShadowView, Chip, Button → theme-aware, interactive, and ready to ship.

Just dropped HeroUI Native v1.0.0-alpha.9 🚀 ✨ New components 🔧 Refactors 🐛 Fixes We’re not just shipping code - we’re testing how it fits into real scenarios. That’s why we’re building showcase UIs inspired by real cases. First battle case: Onboarding step ⚡️️ Built with Card, DropShadowView, Chip, Button → theme-aware, interactive, and ready to ship.

HeroUI

19,385 次观看 • 10 个月前

🚀 Big News, Creators! The KLING 2.1 Lineup Just Dropped! Introducing the KLING 2.1 Lineup: - KLING 2.1: ✨ Now in Standard (720p) and Professional (1080p) modes 💸 20 Credits/5s (Standard), or 35 Credits/5s (Pro) - KLING 2.1 Master: ⚡ Superb dynamics & prompt adherence 📺 Now fully upgraded to 1080p output 🔔 Note: KLING 2.1 (non-Master) currently only supports Image to Video. Text to Video is coming soon! Start creating today at #KlingAI

🚀 Big News, Creators! The KLING 2.1 Lineup Just Dropped! Introducing the KLING 2.1 Lineup: - KLING 2.1: ✨ Now in Standard (720p) and Professional (1080p) modes 💸 20 Credits/5s (Standard), or 35 Credits/5s (Pro) - KLING 2.1 Master: ⚡ Superb dynamics & prompt adherence 📺 Now fully upgraded to 1080p output 🔔 Note: KLING 2.1 (non-Master) currently only supports Image to Video. Text to Video is coming soon! Start creating today at #KlingAI

Kling AI

833,572 次观看 • 1 年前

🚀 Introducing AgentCPM-Explore: The First Open-Source 4B-Agent Model to Conquer GAIA & Complex Real-World Tasks! 🤗 Hugging Face: 🔗 GitHub: ✨ Key Highlights: ✅ SOTA Agentic Performance: Sets a new benchmark for 4B-scale agent models—outperforming all peers, surpassing 8B models, and rivaling select 30B+ and closed-source LLMs. 🧠 Deep Research Capability: Excels at long-horizon reasoning, supports 100+ turns of autonomous interaction with multi-source cross-validation, human-like self-correction, and dynamic tool use + strategy adaptation—just like a real researcher! 🔓 Full-Stack Open Source: We’re open-sourcing the entire end-to-end agent stack—not just the model! Empower your own innovations with - AgentRL: Asynchronous reinforcement learning framework - AgentDock: Secure, extensible tool sandbox - AgentToLeaP: An one-click evaluation platform for agent tool-learning capabilitie - Full training data pipeline & reproducible workflows #AgentCPM #OpenSourceAI #AgenticAI #AI #GAIA #LLM #OpenBMB #AIAgents #HuggingFace

🚀 Introducing AgentCPM-Explore: The First Open-Source 4B-Agent Model to Conquer GAIA & Complex Real-World Tasks! 🤗 Hugging Face: 🔗 GitHub: ✨ Key Highlights: ✅ SOTA Agentic Performance: Sets a new benchmark for 4B-scale agent models—outperforming all peers, surpassing 8B models, and rivaling select 30B+ and closed-source LLMs. 🧠 Deep Research Capability: Excels at long-horizon reasoning, supports 100+ turns of autonomous interaction with multi-source cross-validation, human-like self-correction, and dynamic tool use + strategy adaptation—just like a real researcher! 🔓 Full-Stack Open Source: We’re open-sourcing the entire end-to-end agent stack—not just the model! Empower your own innovations with - AgentRL: Asynchronous reinforcement learning framework - AgentDock: Secure, extensible tool sandbox - AgentToLeaP: An one-click evaluation platform for agent tool-learning capabilitie - Full training data pipeline & reproducible workflows #AgentCPM #OpenSourceAI #AgenticAI #AI #GAIA #LLM #OpenBMB #AIAgents #HuggingFace

OpenBMB

13,996 次观看 • 6 个月前

🚀 Introducing LongCat-Flash-Thinking-2601 — A version built for deep and general agentic thinking. ✨ Highlights: 🤖 Top Tier Agent Capabilities 🔹 Performance: Top tier benchmark results (TIR / Agentic Search / Agentic Tool Use) ; superb generalization ability, outperforming Claude in complex, random tasks 🔹 Env Scaling: Multiple automaticly constructed high-quality environments; dense dependency graph 🔹 Multi-Env RL: Extended DORA (our RL infra), supporting large-scale multi-environment agentic training 🛡️ Real-World Robustness 🔹 Performance: Solid performance in messy, uncertain scenarios (Vita-Noise & Tau^2-Noise) 🔹 Noise Analysis: Systematically analyzed real-world noise in agentic scenarios 🔹 Curriculum RL: Increasing noise type & intensity while training 🎯 Heavy Thinking Mode 🔹 Parallel Thinking: Expands breadth via multiple independent reasoning tracks 🔹 Iterative Summarization: Enhances depth by using a summary model to synthesize outputs, supporting iterative reasoning loops 📅 One more thing: 1M-token context via Zigzag Attention is coming soon. 🔍 Try it now: ✅ API access for this version is also available. Hugging Face: GitHub:

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Meituan LongCat

82,449 次观看 • 6 个月前

We've officially released and open-sourced HunyuanImage 2.1, our latest text-to-image model. The new model delivers on our commitment to balancing performance and quality. With native 2K image generation, HunyuanImage 2.1 is an advanced open-source text-to-image model.🎨 ✨ New in 2.1: 🔹Advanced Semantics: Supports ultra-long and complex prompts of up to 1000 tokens, and precisely controls the generation of multiple subjects in a single image. 🔹Precise Chinese and English Text Rendering with seamless image–text integration: The model naturally integrates text into images, making it suitable for a wide range of applications such as product covers, illustrations, and poster design to meet the needs of various fields. 🔹Rich Styles and High Aesthetic: Capable of generating images in various styles—including photorealistic portraits, comics, and vinyl figures—it delivers outstanding visual appeal and artistic quality. 🔹High-Quality Generation: Efficiently produces ultra-high-definition (2K) images in the same time other models take to generate a 1K image. HunyuanImage 2.1 uses two text encoders: a multimodal large language model (MLLM) to improve the model's image and text alignment capabilities, and a multi-language character-aware encoder to improve text rendering capabilities. The model is a single- and double-stream diffusion transformer with 17B parameters. We've also open-sourced the weights of the the accelerated version with meanflow which reduces inference steps from 100 to just 8, and PromptEnhancer, the first industrial-grade rewriting model that enhances your prompts for more nuanced and expressive image generation. Now, creators turn complex ideas—like posters with slogans or multi-panel comics—into visuals faster than ever. We’re just getting started. Stay tuned for our native multimodal image generation model coming soon. 🌐Website: 🔗Github: 🤗Hugging Face: ✨Hugging Face Demo:

We've officially released and open-sourced HunyuanImage 2.1, our latest text-to-image model. The new model delivers on our commitment to balancing performance and quality. With native 2K image generation, HunyuanImage 2.1 is an advanced open-source text-to-image model.🎨 ✨ New in 2.1: 🔹Advanced Semantics: Supports ultra-long and complex prompts of up to 1000 tokens, and precisely controls the generation of multiple subjects in a single image. 🔹Precise Chinese and English Text Rendering with seamless image–text integration: The model naturally integrates text into images, making it suitable for a wide range of applications such as product covers, illustrations, and poster design to meet the needs of various fields. 🔹Rich Styles and High Aesthetic: Capable of generating images in various styles—including photorealistic portraits, comics, and vinyl figures—it delivers outstanding visual appeal and artistic quality. 🔹High-Quality Generation: Efficiently produces ultra-high-definition (2K) images in the same time other models take to generate a 1K image. HunyuanImage 2.1 uses two text encoders: a multimodal large language model (MLLM) to improve the model's image and text alignment capabilities, and a multi-language character-aware encoder to improve text rendering capabilities. The model is a single- and double-stream diffusion transformer with 17B parameters. We've also open-sourced the weights of the the accelerated version with meanflow which reduces inference steps from 100 to just 8, and PromptEnhancer, the first industrial-grade rewriting model that enhances your prompts for more nuanced and expressive image generation. Now, creators turn complex ideas—like posters with slogans or multi-panel comics—into visuals faster than ever. We’re just getting started. Stay tuned for our native multimodal image generation model coming soon. 🌐Website: 🔗Github: 🤗Hugging Face: ✨Hugging Face Demo:

Tencent Hy

89,257 次观看 • 10 个月前

Beta Blocker just got a big update on Windows and Android. Buckle in 🐾 🎨 New Censor Styles Windows gets a full new lineup of effects: Static, Glitch, RGB Shift, Terminal and lot's more. Android gets also gets most of them too! 🎭 Preset Styles Windows now has themed preset styles, letting you swap between complete censor looks instantly instead of tuning every setting by hand. 🔄 Reverse Censor Reverse Censor is now available on Android, with a new Reverse Strength slider to choose your strength. There’s also a setup popup when enabling it, plus stronger One App coverage through Android Accessibility. On Windows, Reverse Censor is now more consistent across live mode, exports, recording, and virtual cam. 🎯 Per-Detection Overrides Windows now supports per-detection customization, so different detections can have their own style, text, and image instead of all sharing one global setup. 🧹 Fixes & Polish Fixed heavy cursor flickering during active blocking, improved performance for animated effects and larger boxes, and cleaned up several parts of the UI. This update also brings better language access, smoother scrolling, cleaner style controls, updated Android device targeting, support for the new Android settings in packs, cleaner overlay behaviour, and a smoother install/update experience. Oh, and the pack creator program was also updated to support all of the new features, and got a major cleanup, so this is essentially 3 programs getting major updates at the same time 🤗 Enjoy 💕

Beta Blocker just got a big update on Windows and Android. Buckle in 🐾 🎨 New Censor Styles Windows gets a full new lineup of effects: Static, Glitch, RGB Shift, Terminal and lot's more. Android gets also gets most of them too! 🎭 Preset Styles Windows now has themed preset styles, letting you swap between complete censor looks instantly instead of tuning every setting by hand. 🔄 Reverse Censor Reverse Censor is now available on Android, with a new Reverse Strength slider to choose your strength. There’s also a setup popup when enabling it, plus stronger One App coverage through Android Accessibility. On Windows, Reverse Censor is now more consistent across live mode, exports, recording, and virtual cam. 🎯 Per-Detection Overrides Windows now supports per-detection customization, so different detections can have their own style, text, and image instead of all sharing one global setup. 🧹 Fixes & Polish Fixed heavy cursor flickering during active blocking, improved performance for animated effects and larger boxes, and cleaned up several parts of the UI. This update also brings better language access, smoother scrolling, cleaner style controls, updated Android device targeting, support for the new Android settings in packs, cleaner overlay behaviour, and a smoother install/update experience. Oh, and the pack creator program was also updated to support all of the new features, and got a major cleanup, so this is essentially 3 programs getting major updates at the same time 🤗 Enjoy 💕

Isla

69,132 次观看 • 1 个月前

🚨 Open-source AI just got serious. Alibaba just released Qwen 3.5-Plus 🤯 397B parameters. Only 17B active per inference. Performance comparable to Gemini 3 Pro — at just $0.8 per million tokens (1/18 the cost). But here’s what makes it different 👇 This isn’t just another benchmark drop. In the demo, Qwen runs directly inside the terminal: ➙ Reviews GitHub PRs ➙ Fetches diffs automatically ➙ Runs CLI & smoke tests ➙ Generates integration tests ➙ Executes /context ➙ Shows real-time token usage breakdown That’s not a chatbot. That’s a real developer workflow. Under the hood: ⚡ 60% lower deployment memory ⚡ Inference throughput increased by 8.6× (32K context) ⚡ Inference throughput increased by up to 19× (256K ultra-long context) ⚡ Native multimodal model ⚡ Supports direct video input (up to 2 hours) And the ecosystem is massive: ✔ 201 languages ✔ 250K vocabulary ✔ 400+ open-sourced models ✔ 1B+ downloads ✔ 200K+ derivative models Available now via Qwen App, MoDa Community, Hugging Face, and Alibaba Cloud Bailian. ✅ The AI race isn’t about who’s biggest anymore. → It’s about who’s usable. 🔥 Watch the demo 👇 #Qwen #OpenSourceAI #AI #DevTools

🚨 Open-source AI just got serious. Alibaba just released Qwen 3.5-Plus 🤯 397B parameters. Only 17B active per inference. Performance comparable to Gemini 3 Pro — at just $0.8 per million tokens (1/18 the cost). But here’s what makes it different 👇 This isn’t just another benchmark drop. In the demo, Qwen runs directly inside the terminal: ➙ Reviews GitHub PRs ➙ Fetches diffs automatically ➙ Runs CLI & smoke tests ➙ Generates integration tests ➙ Executes /context ➙ Shows real-time token usage breakdown That’s not a chatbot. That’s a real developer workflow. Under the hood: ⚡ 60% lower deployment memory ⚡ Inference throughput increased by 8.6× (32K context) ⚡ Inference throughput increased by up to 19× (256K ultra-long context) ⚡ Native multimodal model ⚡ Supports direct video input (up to 2 hours) And the ecosystem is massive: ✔ 201 languages ✔ 250K vocabulary ✔ 400+ open-sourced models ✔ 1B+ downloads ✔ 200K+ derivative models Available now via Qwen App, MoDa Community, Hugging Face, and Alibaba Cloud Bailian. ✅ The AI race isn’t about who’s biggest anymore. → It’s about who’s usable. 🔥 Watch the demo 👇 #Qwen #OpenSourceAI #AI #DevTools

Toha Khan

123,375 次观看 • 4 个月前

🚨 SUBNET 35 BREAKTHROUGH: LogicNet AI Rivals HUMAN EXPERTS! 🧠💥@logicnet_ait Choose your weapon: Qwen2, Mistral, Baichuan2, or Falcon models now available! 🛠️ $TAO holders are part-owners of a GLOBAL AI BRAIN trust! As these models improve, so does the VALUE and UTILITY of the entire ecosystem 🔥 Bittensor's Subnet 35 isn't just improving AI - it's REVOLUTIONIZING it! Here's what these mind-blowing stats REALLY mean: 1. 📚 SAT Performance (53.1%): - This is like an AI scoring 1060 out of 1600 on the SAT! - Puts the AI at the 50th percentile of HUMAN test-takers - Could help MILLIONS of students with SAT prep! 2. 🔬 MMLU-STEM (63.9% by Minerva 540B): - MMLU tests grad-school level knowledge - This score rivals EXPERT HUMANS in STEM fields - Potential to assist in CUTTING-EDGE research and innovation 3. 🧮 Math Skills (33.6% on complex tasks): - Tackles problems at the level of Math Olympiad competitions - Could speed up COMPLEX CALCULATIONS in physics, engineering, and finance - Imagine AI co-pilots for researchers and engineers! 4. 💡 Logical Reasoning (36.4% on GSM8k): - GSM8k tests multi-step problem-solving - This level could help in LEGAL ANALYSIS, BUSINESS STRATEGY, and SCIENTIFIC RESEARCH - AI assistants that can break down complex problems for humans! 5. 🌐 Scale and Diversity (7B to 540B parameters): - From models that can run on your laptop to those rivaling TOP TECH GIANTS - Democratizes access to AI power for EVERYONE - Potential for personalized AI assistants tailored to YOUR needs 🚀 Real-World Impact: - Education: AI tutors available 24/7, personalizing learning for MILLIONS - Research: Accelerating discoveries in medicine, climate science, and beyond - Business: AI strategists helping startups compete with FORTUNE 500 companies - Technology: Pushing the boundaries of what's possible in AI, rivaling or SURPASSING centralized tech giants This isn't just progress - it's a LEAP in decentralized AI capabilities! Bittensor's Subnet 35 is creating AI that doesn't just assist humans, but COLLABORATES with us at expert levels! 🌟 Why This MATTERS for Bittensor & $TAO: - Decentralized AI now COMPETING with multi-billion dollar tech companies Don't just watch the future unfold - be part of SHAPING it with Bittensor & $TAO! 🚀🌍 Watch and Subcribe on YouTube for More: #Bittensor #TAO #AIRevolution #DecentralizedAI #FutureIsNow [DISCLAIMER: Not financial advice! DYOR. But remember, we're not just talking about numbers - we're talking about AI that could transform EVERY aspect of our lives! 🤯🚀]

🚨 SUBNET 35 BREAKTHROUGH: LogicNet AI Rivals HUMAN EXPERTS! 🧠💥@logicnet_ait Choose your weapon: Qwen2, Mistral, Baichuan2, or Falcon models now available! 🛠️ $TAO holders are part-owners of a GLOBAL AI BRAIN trust! As these models improve, so does the VALUE and UTILITY of the entire ecosystem 🔥 Bittensor's Subnet 35 isn't just improving AI - it's REVOLUTIONIZING it! Here's what these mind-blowing stats REALLY mean: 1. 📚 SAT Performance (53.1%): - This is like an AI scoring 1060 out of 1600 on the SAT! - Puts the AI at the 50th percentile of HUMAN test-takers - Could help MILLIONS of students with SAT prep! 2. 🔬 MMLU-STEM (63.9% by Minerva 540B): - MMLU tests grad-school level knowledge - This score rivals EXPERT HUMANS in STEM fields - Potential to assist in CUTTING-EDGE research and innovation 3. 🧮 Math Skills (33.6% on complex tasks): - Tackles problems at the level of Math Olympiad competitions - Could speed up COMPLEX CALCULATIONS in physics, engineering, and finance - Imagine AI co-pilots for researchers and engineers! 4. 💡 Logical Reasoning (36.4% on GSM8k): - GSM8k tests multi-step problem-solving - This level could help in LEGAL ANALYSIS, BUSINESS STRATEGY, and SCIENTIFIC RESEARCH - AI assistants that can break down complex problems for humans! 5. 🌐 Scale and Diversity (7B to 540B parameters): - From models that can run on your laptop to those rivaling TOP TECH GIANTS - Democratizes access to AI power for EVERYONE - Potential for personalized AI assistants tailored to YOUR needs 🚀 Real-World Impact: - Education: AI tutors available 24/7, personalizing learning for MILLIONS - Research: Accelerating discoveries in medicine, climate science, and beyond - Business: AI strategists helping startups compete with FORTUNE 500 companies - Technology: Pushing the boundaries of what's possible in AI, rivaling or SURPASSING centralized tech giants This isn't just progress - it's a LEAP in decentralized AI capabilities! Bittensor's Subnet 35 is creating AI that doesn't just assist humans, but COLLABORATES with us at expert levels! 🌟 Why This MATTERS for Bittensor & $TAO: - Decentralized AI now COMPETING with multi-billion dollar tech companies Don't just watch the future unfold - be part of SHAPING it with Bittensor & $TAO! 🚀🌍 Watch and Subcribe on YouTube for More: #Bittensor #TAO #AIRevolution #DecentralizedAI #FutureIsNow [DISCLAIMER: Not financial advice! DYOR. But remember, we're not just talking about numbers - we're talking about AI that could transform EVERY aspect of our lives! 🤯🚀]

Andy ττ

30,393 次观看 • 1 年前

🚀 Dive into StackLords – The Ultimate Skill-Based Blockchain Stacking Game! 🏰🧱✨ Tired of boring GameFi? StackLords brings pure arcade fun with real rewards! 🎮👑 How to Play: Tap at the perfect moment to drop blocks and stack them precisely! 🔄 Perfect alignments keep your tower wide and stable – climb higher for massive scores! 🌆 Miss the mark? Your platform shrinks, making every next drop even tougher! 😰💥 Master timing & focus to dominate the leaderboard and earn sustainable $STLR rewards through pure skill! 🏆💰 Token Utility ($STLR) • Earn Gems via streaks, missions, tournaments & challenges • Convert Gems → $STLR (capped, performance-based) • Stake $STLR for governance & treasury rewards • Use $STLR for tournaments, wagers, cosmetics & marketplace items • Unified inventory & cosmetics across all StackLords games 📊 Traction / Highlights ✅ Strategy-first precision mechanic ⚔️ Skill-based PvP & tournaments 🎮 Multi-game platform expansion 🔗 Unified $STLR token across ecosystem 🎨 NFT skins, cosmetics & unlocks tied to gameplay 🏛 Long-term governance via StackLords Council Player-driven governance, epic meme contests, custom stickers, and a vibrant community make it addictive & lasting! 😂🤝 Season 1 is ON FIRE – start stacking NOW and build your empire! 🔥🗼 Play here: 🔗 Project Links Main Hub: Airdrop Season 1 (X): Airdrop Announcement (Medium): #playStackLords #StackLords $STLR

🚀 Dive into StackLords – The Ultimate Skill-Based Blockchain Stacking Game! 🏰🧱✨ Tired of boring GameFi? StackLords brings pure arcade fun with real rewards! 🎮👑 How to Play: Tap at the perfect moment to drop blocks and stack them precisely! 🔄 Perfect alignments keep your tower wide and stable – climb higher for massive scores! 🌆 Miss the mark? Your platform shrinks, making every next drop even tougher! 😰💥 Master timing & focus to dominate the leaderboard and earn sustainable $STLR rewards through pure skill! 🏆💰 Token Utility ($STLR) • Earn Gems via streaks, missions, tournaments & challenges • Convert Gems → $STLR (capped, performance-based) • Stake $STLR for governance & treasury rewards • Use $STLR for tournaments, wagers, cosmetics & marketplace items • Unified inventory & cosmetics across all StackLords games 📊 Traction / Highlights ✅ Strategy-first precision mechanic ⚔️ Skill-based PvP & tournaments 🎮 Multi-game platform expansion 🔗 Unified $STLR token across ecosystem 🎨 NFT skins, cosmetics & unlocks tied to gameplay 🏛 Long-term governance via StackLords Council Player-driven governance, epic meme contests, custom stickers, and a vibrant community make it addictive & lasting! 😂🤝 Season 1 is ON FIRE – start stacking NOW and build your empire! 🔥🗼 Play here: 🔗 Project Links Main Hub: Airdrop Season 1 (X): Airdrop Announcement (Medium): #playStackLords #StackLords $STLR

Avin ☀️🌙⭐️

14,916 次观看 • 6 个月前

🤖🔬 Can AI actually do science end-to-end? 🧠📈 And how would we know when it matches, or surpasses, humans? ⚡🧪 AI is rapidly automating scientific discovery, but benchmarking full-cycle discovery, from 💡 ideation → 🧑‍💻 execution → 📊 conclusions, remains unsolved: 🧐🧐🧐 ❌🛠️ Open-ended discovery → manual validation (costly, unscalable) ❌📏 Metric-driven benchmarks (e.g., MLE-Bench) → convenient but narrow (is higher accuracy really enough?) ❌🤖⚖️ LLM-as-judge → useful, but fundamentally risky if used alone 🔥🚀 Introducing FIRE-Bench🔥: Fullcycle Insight Rediscovery Evaluation 👉🌐 📚✨ A benchmark that turns fresh, human-verified insights from recent 🏆 NeurIPS / ICLR / ICML papers into masked, end-to-end discovery challenges 🧩 🌍🔐 Constrained open-ended discovery–backed by ground truth. 📌 Key takeaways: 1⃣ 📖🧱 Reference-based evaluation still matters: constrained LLM judging helps, but human-grounded references remain essential until agents can consistently match human conclusions 2⃣ 🏆🧠 Expert-validated ground truth: all tasks come from recent NeurIPS / ICLR / ICML papers, with contamination carefully controlled 3⃣ 🔁🎭 Rediscovery, not reproduction: original 🧪 methods, 📊 experiments, 💻 implementations, and 📈 analyses are fully masked to create real discovery challenges 🔑 Key empirical findings: 💡 The "Science Gap" is Real: Even the best setup (Claude Code + Sonnet-4) caps out at an F1 score of 46.7. On hard tasks, agents struggle to break 30 💡 Success is a "Lottery": Performance has incredibly high variance. Reliability is a major unsolved issue. 💡 Coding is no longer the bottleneck; high-level reasoning and analysis are: ~74% of errors stem from flawed planning, not coding ⚙️ How it works: 🔹 Research-Problem Trees: We parse papers into trees (from broad roots to concrete leaves). This allows us to select intermediate nodes that perfectly balance open-ended exploration with verifiable ground truth. 🔹 Claim-Level Evaluation: We match AI conclusions against human conclusions using granular claim decomposition (F1 score). 🔹 Creativity Check: We score false positives to see if agents are finding novel truths (Spoiler🚨: they aren’t creative yet). 🔹 New Diagnostic Taxonomy: failures traced across four stages: 🧠 Planning → 🛠️ Implementation → ▶️ Execution → 🧾 Conclusion 🔹 Additional Analyses: cost efficiency, contamination checks, and more. 👀 The Future: 🚀 Live-FIRE-Bench: a live, continuously updated FIRE-Bench to track real-time progress on the latest research (Newest LLMs should be benchmarked with the newest research) 🚀 Stronger scaffolding (search + planning + coding) 🧠🧰 and converting FIRE-Bench into interactive environments for training research agents 🚀 Toward real creativity: We want better systems that can produce genuinely novel conclusions toward creativity 🎨⏳ 🚀 Better systems 🧠✨ and better benchmarks 📏 must co-evolve 🔄 over time 📜🎥 Paper, video, demo, and research trees: 👉🌐 #AI 🤖 #MachineLearning 📚 #AI4Science 🔬 #LLMs 🧠 #Research 🧪 #AgenticAI 🚀 #FireBench 🔥

🤖🔬 Can AI actually do science end-to-end? 🧠📈 And how would we know when it matches, or surpasses, humans? ⚡🧪 AI is rapidly automating scientific discovery, but benchmarking full-cycle discovery, from 💡 ideation → 🧑‍💻 execution → 📊 conclusions, remains unsolved: 🧐🧐🧐 ❌🛠️ Open-ended discovery → manual validation (costly, unscalable) ❌📏 Metric-driven benchmarks (e.g., MLE-Bench) → convenient but narrow (is higher accuracy really enough?) ❌🤖⚖️ LLM-as-judge → useful, but fundamentally risky if used alone 🔥🚀 Introducing FIRE-Bench🔥: Fullcycle Insight Rediscovery Evaluation 👉🌐 📚✨ A benchmark that turns fresh, human-verified insights from recent 🏆 NeurIPS / ICLR / ICML papers into masked, end-to-end discovery challenges 🧩 🌍🔐 Constrained open-ended discovery–backed by ground truth. 📌 Key takeaways: 1⃣ 📖🧱 Reference-based evaluation still matters: constrained LLM judging helps, but human-grounded references remain essential until agents can consistently match human conclusions 2⃣ 🏆🧠 Expert-validated ground truth: all tasks come from recent NeurIPS / ICLR / ICML papers, with contamination carefully controlled 3⃣ 🔁🎭 Rediscovery, not reproduction: original 🧪 methods, 📊 experiments, 💻 implementations, and 📈 analyses are fully masked to create real discovery challenges 🔑 Key empirical findings: 💡 The "Science Gap" is Real: Even the best setup (Claude Code + Sonnet-4) caps out at an F1 score of 46.7. On hard tasks, agents struggle to break 30 💡 Success is a "Lottery": Performance has incredibly high variance. Reliability is a major unsolved issue. 💡 Coding is no longer the bottleneck; high-level reasoning and analysis are: ~74% of errors stem from flawed planning, not coding ⚙️ How it works: 🔹 Research-Problem Trees: We parse papers into trees (from broad roots to concrete leaves). This allows us to select intermediate nodes that perfectly balance open-ended exploration with verifiable ground truth. 🔹 Claim-Level Evaluation: We match AI conclusions against human conclusions using granular claim decomposition (F1 score). 🔹 Creativity Check: We score false positives to see if agents are finding novel truths (Spoiler🚨: they aren’t creative yet). 🔹 New Diagnostic Taxonomy: failures traced across four stages: 🧠 Planning → 🛠️ Implementation → ▶️ Execution → 🧾 Conclusion 🔹 Additional Analyses: cost efficiency, contamination checks, and more. 👀 The Future: 🚀 Live-FIRE-Bench: a live, continuously updated FIRE-Bench to track real-time progress on the latest research (Newest LLMs should be benchmarked with the newest research) 🚀 Stronger scaffolding (search + planning + coding) 🧠🧰 and converting FIRE-Bench into interactive environments for training research agents 🚀 Toward real creativity: We want better systems that can produce genuinely novel conclusions toward creativity 🎨⏳ 🚀 Better systems 🧠✨ and better benchmarks 📏 must co-evolve 🔄 over time 📜🎥 Paper, video, demo, and research trees: 👉🌐 #AI 🤖 #MachineLearning 📚 #AI4Science 🔬 #LLMs 🧠 #Research 🧪 #AgenticAI 🚀 #FireBench 🔥

Zhen Wang

13,450 次观看 • 5 个月前

Mike is back and better than ever. Mike ( has undergone a major refresh packed with new features, design improvements, and quality-of-life enhancements. And as always, everything is open source. Here is a summary of the major updates: 1. Legal research Case law hallucinations are a massive problem. To address this, Mike's assistant can now produce grounded citations backed by case law from CourtListener. The integration is tight and highly intuitive. Every answer includes links to cited cases, along with supporting quotations from judicial opinions to substantiate each proposition made by the AI. The assistant also researches cases in much the same way a lawyer would. It retrieves potentially relevant authorities, verifies the accuracy of citations, and searches for keywords that align with the research topic. Support for additional jurisdictions will be added soon. 2. Improved user interface (UI) The UI has been redesigned around Apple's Liquid Glass design principles, giving the application a cleaner and more minimalist feel down to every modal and button. Mike is designed to be a place of calm where lawyers can focus amidst the chaos of legal practice. 3. Version control Lawyers are familiar with saving documents as new versions in document management systems such as iManage and NetDocuments. Mike now brings this workflow into projects by allowing users to save new versions on top of existing documents with a simple drag-and-drop action. This introduces order and clarity to matters where redlines and document versions can quickly become confusing, especially when there are five different files named "Final Execution Version." 4. Data control Users can now export their data and permanently delete their data directly from the Settings page. 5. Security Multi-factor authentication (MFA) is now available. Users can enable MFA to protect sensitive actions within Mike, such as data deletion, and can also optionally require MFA during login. There have also been numerous backend security improvements since the previous release. 6. MCP connectors This was one of the most requested features. Users can now add MCP connectors directly from Settings. All tokens and secrets are encrypted at rest. In the demo video, I showcase the Neimo MCP from k-ID, a global age verification and compliance platform. Mike can also be connected to other MCP servers, including email systems. The setup process is currently somewhat manual, but one-click authentication and onboarding will be added in a future release. Mike now has a strong open-source community behind it and is improving every single day. The summary above highlights just some of the work that has been shipped over the past month. I'll also be doing more demos to showcase Mike's capabilities. See you soon.

Mike is back and better than ever. Mike ( has undergone a major refresh packed with new features, design improvements, and quality-of-life enhancements. And as always, everything is open source. Here is a summary of the major updates: 1. Legal research Case law hallucinations are a massive problem. To address this, Mike's assistant can now produce grounded citations backed by case law from CourtListener. The integration is tight and highly intuitive. Every answer includes links to cited cases, along with supporting quotations from judicial opinions to substantiate each proposition made by the AI. The assistant also researches cases in much the same way a lawyer would. It retrieves potentially relevant authorities, verifies the accuracy of citations, and searches for keywords that align with the research topic. Support for additional jurisdictions will be added soon. 2. Improved user interface (UI) The UI has been redesigned around Apple's Liquid Glass design principles, giving the application a cleaner and more minimalist feel down to every modal and button. Mike is designed to be a place of calm where lawyers can focus amidst the chaos of legal practice. 3. Version control Lawyers are familiar with saving documents as new versions in document management systems such as iManage and NetDocuments. Mike now brings this workflow into projects by allowing users to save new versions on top of existing documents with a simple drag-and-drop action. This introduces order and clarity to matters where redlines and document versions can quickly become confusing, especially when there are five different files named "Final Execution Version." 4. Data control Users can now export their data and permanently delete their data directly from the Settings page. 5. Security Multi-factor authentication (MFA) is now available. Users can enable MFA to protect sensitive actions within Mike, such as data deletion, and can also optionally require MFA during login. There have also been numerous backend security improvements since the previous release. 6. MCP connectors This was one of the most requested features. Users can now add MCP connectors directly from Settings. All tokens and secrets are encrypted at rest. In the demo video, I showcase the Neimo MCP from k-ID, a global age verification and compliance platform. Mike can also be connected to other MCP servers, including email systems. The setup process is currently somewhat manual, but one-click authentication and onboarding will be added in a future release. Mike now has a strong open-source community behind it and is improving every single day. The summary above highlights just some of the work that has been shipped over the past month. I'll also be doing more demos to showcase Mike's capabilities. See you soon.

WillC

10,293 次观看 • 27 天前

“NOTHING WILL INCREASE SUPPLY” – FIRST MAJESTIC PRESIDENT ON BROKEN SILVER MARKET $AG First Majestic's new President Mani Akafaji just dropped massive updates that every silver investor needs to hear right now. 2025 WAS TRANSFORMATIONAL - RECORDS SMASHED ✅ Silver production exploded +80% year-over-year 🔥 Fully integrated Gatos Silver acquisition on time 📈 Hit the high end of revised guidance after bumping it mid-year 🏆 Multiple all-time company records crushed DIVIDEND JUST GOT DOUBLED - HERE'S WHY ✅ Dividend policy jumped from 1% to 2% of net revenue. 💰 Tied directly to metal prices - shareholders get full upside ⚡ Balance sheet "continues to strengthen quarter over quarter" 🔒 "We never want to increase dividend then cut it back" - rock solid confidence WHY 2026 PRODUCTION LOOKS LOWER (THIS IS ACTUALLY BULLISH) ✅ Dropping cut-off grades because $110 silver makes lower-grade ore massively profitable ⛏️ Mining material that was uneconomical at $30-50 now prints money 🌟 Extending mine life dramatically instead of high-grading 🚀 Expanding plant capacity: Santa Elena to 3,500 tpd, Gatos to 4,000 tpd ZERO HEDGING - FULL EXPOSURE TO TRIPLE-DIGIT SILVER ❌ Absolutely NO hedging - never have, never will 😎 "That's why shareholders love us" - pure silver price leverage 💪 Using monster cash flow to expand plants, explore, and pay bigger dividends JERRITT CANYON COMING BACK HOT ($5,000+ GOLD CHANGES EVERYTHING) 🔥 Shut down when gold was $1,700 - now gold over $5,100 ⏰ Full management focus shifting to Jerritt after Gatos integration 📊 Complete new mine plan with current prices coming Q1 2026 🦄 Fully permitted gold asset in Nevada with unique processing plant SILVER SUPPLY IS PERMANENTLY BROKEN ❌ "Nothing we're seeing shows increase in supply" ⏳ 18 years average from discovery to production ⚠️ Structural deficit for 5+ years and growing ☀️ Industrial demand (solar, tech, EVs) only accelerating MINT BUSINESS IS ON FIRE 🔥 Retail orders "flying in daily" 🪙 First Majestic mint capturing huge premiums over spot 📦 Getting calls from institutions and other mints begging for silver 🏭 Industrial users now approaching producers directly THE BOTTOM LINE First Majestic is perfectly positioned with expanding production, zero hedging, exploding dividends, and massive optionality on Jerritt Canyon - all while silver trades at triple digits with supply permanently broken and industrial users scrambling. This is what winning the silver bull market looks like. HT: YouTube Soar Financially First Majestic Kai Hoffmann #Silver #FirstMajestic #SilverSqueeze #MiningStocks #PreciousMetals #Silver110 #Gold5000

“NOTHING WILL INCREASE SUPPLY” – FIRST MAJESTIC PRESIDENT ON BROKEN SILVER MARKET $AG First Majestic's new President Mani Akafaji just dropped massive updates that every silver investor needs to hear right now. 2025 WAS TRANSFORMATIONAL - RECORDS SMASHED ✅ Silver production exploded +80% year-over-year 🔥 Fully integrated Gatos Silver acquisition on time 📈 Hit the high end of revised guidance after bumping it mid-year 🏆 Multiple all-time company records crushed DIVIDEND JUST GOT DOUBLED - HERE'S WHY ✅ Dividend policy jumped from 1% to 2% of net revenue. 💰 Tied directly to metal prices - shareholders get full upside ⚡ Balance sheet "continues to strengthen quarter over quarter" 🔒 "We never want to increase dividend then cut it back" - rock solid confidence WHY 2026 PRODUCTION LOOKS LOWER (THIS IS ACTUALLY BULLISH) ✅ Dropping cut-off grades because $110 silver makes lower-grade ore massively profitable ⛏️ Mining material that was uneconomical at $30-50 now prints money 🌟 Extending mine life dramatically instead of high-grading 🚀 Expanding plant capacity: Santa Elena to 3,500 tpd, Gatos to 4,000 tpd ZERO HEDGING - FULL EXPOSURE TO TRIPLE-DIGIT SILVER ❌ Absolutely NO hedging - never have, never will 😎 "That's why shareholders love us" - pure silver price leverage 💪 Using monster cash flow to expand plants, explore, and pay bigger dividends JERRITT CANYON COMING BACK HOT ($5,000+ GOLD CHANGES EVERYTHING) 🔥 Shut down when gold was $1,700 - now gold over $5,100 ⏰ Full management focus shifting to Jerritt after Gatos integration 📊 Complete new mine plan with current prices coming Q1 2026 🦄 Fully permitted gold asset in Nevada with unique processing plant SILVER SUPPLY IS PERMANENTLY BROKEN ❌ "Nothing we're seeing shows increase in supply" ⏳ 18 years average from discovery to production ⚠️ Structural deficit for 5+ years and growing ☀️ Industrial demand (solar, tech, EVs) only accelerating MINT BUSINESS IS ON FIRE 🔥 Retail orders "flying in daily" 🪙 First Majestic mint capturing huge premiums over spot 📦 Getting calls from institutions and other mints begging for silver 🏭 Industrial users now approaching producers directly THE BOTTOM LINE First Majestic is perfectly positioned with expanding production, zero hedging, exploding dividends, and massive optionality on Jerritt Canyon - all while silver trades at triple digits with supply permanently broken and industrial users scrambling. This is what winning the silver bull market looks like. HT: YouTube Soar Financially First Majestic Kai Hoffmann #Silver #FirstMajestic #SilverSqueeze #MiningStocks #PreciousMetals #Silver110 #Gold5000

Mark

64,648 次观看 • 5 个月前

🚀 L1X $25 Million Strategic Growth Raise is Live 🧬 From quantum resistance research partnerships to interoperability focussed real-world traction — Layer One X is scaling new heights. 🎯 Tranche One at $1 (90% Discount to the Trading Price) 🔗 Secure Your Spot in Tranche One: 📊 While many projects have raised between $200M to $350M, they’re still navigating toward meaningful market traction. Meanwhile, L1X has delivered unmatched real-world utility, innovation, and adoption with $12M raised to date. Now, with our $25M Strategic Growth Raise, we’re scaling our impact even further. 📈 📸 Milestones Achieved: 👉 2.5M+ Bridgeless Cross-Chain Messages 👉 200+ Decentralised Validator Nodes 👉 50+ Projects 👉 110,000 Soul Bound NFT’s Issued on L1X-App (Less than 150 Days) 👉 35+ Networks Integrated 🔐 Building the World’s First Quantum Resistant Cross-Chain Message Technology 📂 Open Sourced Code 🛡️ Audited by Hashlock 🛠️ What Sets L1X Apart ✅ Bridgeless Interoperability (X-Talk) ✅ Custom VM + EVM Compatibility ✅ PoX Consensus (Full + X-Talk Nodes) ✅ Protocol Integrated X_Wallet 🌉 World’s First Proven Bridgeless Cross-Chain Tech 📜 Must-Read Docs 📘 L1X Core WhitePaper (210 Pages): 📘 Quantum WhitePaper: 📘 LitePaper: 🔐 Proof of Utility Based Anti-Dump Tokenomics Model 📊 Tokenomics: 📅 Highlights of 2025 Roadmap 🌐 Multi-Chain Token Issuance and Liquidity Abstraction Standard (X-MNAIS) ERC-20-compatible Multi-Chain Token Issuance 🔸 Bridgeless, gas-efficient, & unified liquidity across chains 🔸 No redeployments. No bridges. Just seamless scaling. 🧬 Quantum Resistance Framework In collaboration with UWA 🔸 Plug-and-play security for dApps & chains 🔸 Quantum-proof messaging, state, and consensus layers 💸 L1X as Universal Gas 🔸 Pay once, interact everywhere 🔸 L1X to be used as the universal cross-chain fee with X-Talk which integrates with 35+ networks to enable cross-chain swaps. 🛍️ L1X App Store 🔸 110K+ Soul Bound NFT’s issued 🔸 Unified interface, real-time cross-chain logic ⚛️ Quantum DeX The first of its kind 🔸 Multi-chain liquidity pools 🔸 Vault-based integration with Uniswap, PancakeSwap, Raydium and other DeXs 🔸 Quantum-First security + Smart Release Pool integration 🔸 L1X as the gas layer for DeFi 🔧 Use of Funds – Strategic Allocation 🧠 Advancing Quantum-Resistant Technology 🌱 Ecosystem Growth & Adoption 💧 Liquidity Reinforcement via Release Pool 🏦 Tier 1 Exchange Listings 🧪 Building the World’s First Quantum-Resistant Liquidity Unification DeX (Quantum DeX) 💰 Tranche Details (US$5 Million Each) 📍 Tranche 1 at $1 (90% Discount to the Trading Price) 📍 Tranche 2 at $3.5 📍 Tranche 3 at $5 📍 Tranche 4 at $6.5 📍 Tranche 5 at $8 📑 Tranche Details: 💎 Backed by Real Builders 🔹 Ex-Samsung, Ex-Chainlink 🔹 TradeFi Experts, Web3 OGs 🔹 4M+ Follower Influencer 🔹 Research PhDs and Core Engineers 🌐 This is Layer One X — where real tech meets unstoppable vision.

🚀 L1X $25 Million Strategic Growth Raise is Live 🧬 From quantum resistance research partnerships to interoperability focussed real-world traction — Layer One X is scaling new heights. 🎯 Tranche One at $1 (90% Discount to the Trading Price) 🔗 Secure Your Spot in Tranche One: 📊 While many projects have raised between $200M to $350M, they’re still navigating toward meaningful market traction. Meanwhile, L1X has delivered unmatched real-world utility, innovation, and adoption with $12M raised to date. Now, with our $25M Strategic Growth Raise, we’re scaling our impact even further. 📈 📸 Milestones Achieved: 👉 2.5M+ Bridgeless Cross-Chain Messages 👉 200+ Decentralised Validator Nodes 👉 50+ Projects 👉 110,000 Soul Bound NFT’s Issued on L1X-App (Less than 150 Days) 👉 35+ Networks Integrated 🔐 Building the World’s First Quantum Resistant Cross-Chain Message Technology 📂 Open Sourced Code 🛡️ Audited by Hashlock 🛠️ What Sets L1X Apart ✅ Bridgeless Interoperability (X-Talk) ✅ Custom VM + EVM Compatibility ✅ PoX Consensus (Full + X-Talk Nodes) ✅ Protocol Integrated X_Wallet 🌉 World’s First Proven Bridgeless Cross-Chain Tech 📜 Must-Read Docs 📘 L1X Core WhitePaper (210 Pages): 📘 Quantum WhitePaper: 📘 LitePaper: 🔐 Proof of Utility Based Anti-Dump Tokenomics Model 📊 Tokenomics: 📅 Highlights of 2025 Roadmap 🌐 Multi-Chain Token Issuance and Liquidity Abstraction Standard (X-MNAIS) ERC-20-compatible Multi-Chain Token Issuance 🔸 Bridgeless, gas-efficient, & unified liquidity across chains 🔸 No redeployments. No bridges. Just seamless scaling. 🧬 Quantum Resistance Framework In collaboration with UWA 🔸 Plug-and-play security for dApps & chains 🔸 Quantum-proof messaging, state, and consensus layers 💸 L1X as Universal Gas 🔸 Pay once, interact everywhere 🔸 L1X to be used as the universal cross-chain fee with X-Talk which integrates with 35+ networks to enable cross-chain swaps. 🛍️ L1X App Store 🔸 110K+ Soul Bound NFT’s issued 🔸 Unified interface, real-time cross-chain logic ⚛️ Quantum DeX The first of its kind 🔸 Multi-chain liquidity pools 🔸 Vault-based integration with Uniswap, PancakeSwap, Raydium and other DeXs 🔸 Quantum-First security + Smart Release Pool integration 🔸 L1X as the gas layer for DeFi 🔧 Use of Funds – Strategic Allocation 🧠 Advancing Quantum-Resistant Technology 🌱 Ecosystem Growth & Adoption 💧 Liquidity Reinforcement via Release Pool 🏦 Tier 1 Exchange Listings 🧪 Building the World’s First Quantum-Resistant Liquidity Unification DeX (Quantum DeX) 💰 Tranche Details (US$5 Million Each) 📍 Tranche 1 at $1 (90% Discount to the Trading Price) 📍 Tranche 2 at $3.5 📍 Tranche 3 at $5 📍 Tranche 4 at $6.5 📍 Tranche 5 at $8 📑 Tranche Details: 💎 Backed by Real Builders 🔹 Ex-Samsung, Ex-Chainlink 🔹 TradeFi Experts, Web3 OGs 🔹 4M+ Follower Influencer 🔹 Research PhDs and Core Engineers 🌐 This is Layer One X — where real tech meets unstoppable vision.

LayerOneX

18,390 次观看 • 1 年前

🚀 Introducing PantheonOS ( A Fully Open-Source Agent OS for Science PantheonOS began as a research project in my Stanford lab and has since evolved into a vision to redefine data science in the era of AI—starting with computational biology, especially single-cell and spatial genomics. PantheonOS is a general agent platform built from the ground up. It is arguably the first distributed agent framework designed for scientific data analysis. 🔑 Key Features 1. Multi-Agent Collaboration – Built-in paradigms for distributed, cross-machine cooperation among agents and toolsets. 2. Native Toolset Support – Python, R, Julia, LaTeX, and more—designed for real scientific workflows. 3. Modular & Extensible – Developer-friendly design with shallow wrappers, plus LLM-driven toolset generation. 4. Evolvable Agents – Capable of evolving large-scale code projects to achieve superhuman performance (e.g., evolving upon the original Harmony [I Korsunsky, 2019, Nature Biotechnology] and Scanorama [BL Hie, 2019, Nature Biotechnology] implementations), and even evolving the system itself to adapt to new fields. 🎉 Stepwise Release Strategy We’re releasing PantheonOS in stages: Pantheon-CLI (today!), followed by Pantheon-Lab, Pantheon-Notebook, Pantheon-Slack, and more. 🌟 Pantheon-CLI Highlights - We're not just building another CLI tool. We're defining how scientists will interact with data in the AI era. - Open, Powerful, Python-First – The first fully open-source, endlessly extendable scientific “vibe analysis” framework. - Mixed Programming Magic – Combine Python, natural language, R, or Julia—seamlessly in the same environment. - PhD-Level Assistant – A command-line agent for complex real-world genomics and beyond, handling workflows at the PhD level. - Privacy by Design – Run entirely offline with local LLMs—your data never leaves your computer. ✅ Proven Applications (10 Demonstrations) Computational biology: 1. ATAC-seq: From raw reads to peak matrix 2. RNA-seq: From raw reads to expression matrix 3. Complex single-cell workflows (PhD-level) 4. Hybrid natural language + R for Seurat annotation 5. Learning from web tutorials + invoking single-cell foundation models 6. Cell segmentation on 10x Genomics HD Visium data And beyond: 7. Mixed Python & R programming examples 8. Molecular docking & structural analysis 9. Exploratory factor analysis for behavioral survey data 10. Customer segmentation & finance analytics 🌐 Learn More & Get Started Website: Pantheon-CLI Documentation: GitHub Repo: 💬 Join our community: PantheonOS Slack: PantheonOS Discord:

🚀 Introducing PantheonOS ( A Fully Open-Source Agent OS for Science PantheonOS began as a research project in my Stanford lab and has since evolved into a vision to redefine data science in the era of AI—starting with computational biology, especially single-cell and spatial genomics. PantheonOS is a general agent platform built from the ground up. It is arguably the first distributed agent framework designed for scientific data analysis. 🔑 Key Features 1. Multi-Agent Collaboration – Built-in paradigms for distributed, cross-machine cooperation among agents and toolsets. 2. Native Toolset Support – Python, R, Julia, LaTeX, and more—designed for real scientific workflows. 3. Modular & Extensible – Developer-friendly design with shallow wrappers, plus LLM-driven toolset generation. 4. Evolvable Agents – Capable of evolving large-scale code projects to achieve superhuman performance (e.g., evolving upon the original Harmony [I Korsunsky, 2019, Nature Biotechnology] and Scanorama [BL Hie, 2019, Nature Biotechnology] implementations), and even evolving the system itself to adapt to new fields. 🎉 Stepwise Release Strategy We’re releasing PantheonOS in stages: Pantheon-CLI (today!), followed by Pantheon-Lab, Pantheon-Notebook, Pantheon-Slack, and more. 🌟 Pantheon-CLI Highlights - We're not just building another CLI tool. We're defining how scientists will interact with data in the AI era. - Open, Powerful, Python-First – The first fully open-source, endlessly extendable scientific “vibe analysis” framework. - Mixed Programming Magic – Combine Python, natural language, R, or Julia—seamlessly in the same environment. - PhD-Level Assistant – A command-line agent for complex real-world genomics and beyond, handling workflows at the PhD level. - Privacy by Design – Run entirely offline with local LLMs—your data never leaves your computer. ✅ Proven Applications (10 Demonstrations) Computational biology: 1. ATAC-seq: From raw reads to peak matrix 2. RNA-seq: From raw reads to expression matrix 3. Complex single-cell workflows (PhD-level) 4. Hybrid natural language + R for Seurat annotation 5. Learning from web tutorials + invoking single-cell foundation models 6. Cell segmentation on 10x Genomics HD Visium data And beyond: 7. Mixed Python & R programming examples 8. Molecular docking & structural analysis 9. Exploratory factor analysis for behavioral survey data 10. Customer segmentation & finance analytics 🌐 Learn More & Get Started Website: Pantheon-CLI Documentation: GitHub Repo: 💬 Join our community: PantheonOS Slack: PantheonOS Discord:

evo-devo

17,248 次观看 • 10 个月前

Introducing Fincopy: Revolutionizing Family Account Management 🚀 Visit: Managing multiple family accounts just got easier with Fincopy, our platform designed to streamline and optimize your trading experience. Fincopy helps you to execute multiple orders across various family accounts simultaneously, providing efficiency and ease. Key Features of Fincopy: 1. Server-Based Copying 💻: With Fincopy's server-based technology, you can initiate the copy function, log off your PC, and rest assured that all orders placed via web, mobile, and desktop applications will continue to be copied seamlessly. 2. Real-Time Telegram Updates 📲: Stay informed on the go with instant order updates and account status notifications delivered directly to your Telegram. Keep track of your trading activities wherever you are. 3. Comprehensive Position Monitoring 📺: Monitor all open and closed orders and positions across your accounts in one centralized location. Fincopy provides a complete overview of your trading landscape, ensuring you never miss a detail. 4. Effortless Rebalancing ⚖️: If discrepancies arise in positions or quantities, Fincopy's rebalancing feature allows you to adjust with a single click, ensuring all accounts remain perfectly aligned. 5. Auto Slicing and Rate Limit Management 🔪: When order slicing is necessary while copying. Fincopy automatically handles the process, by sending sliced orders. For large orders, our built-in queuing system efficiently manages rate limits, ensuring smooth execution. 6. Advanced Order Management 💹: Simplify your trading operations with the ability to square off all open orders or positions with one click, or selectively cancel orders directly from the platform. Fincopy puts you in full control. 7. Multi-Broker Support ✅: Fincopy currently supports seven brokers, with plans to expand further. This ensures you can manage your family accounts across different platforms without hassle. 8. Run Your System Trades and Copy the Orders Simultaneously 👩‍💻 By combining Fincopy with Fintarget you will be able to automate your system trading for free and copy the orders to multiple accounts. Pricing: Starting from 299/ Month/ Account with 7 Day Free Trail Explore Today🚀 Try out family account management with Fincopy. Visit and request a demo to experience the platform. Note: Fincopy is designed exclusively for managing family accounts, as managing public accounts is not legally permitted. Experience efficiency with Fincopy today.

Introducing Fincopy: Revolutionizing Family Account Management 🚀 Visit: Managing multiple family accounts just got easier with Fincopy, our platform designed to streamline and optimize your trading experience. Fincopy helps you to execute multiple orders across various family accounts simultaneously, providing efficiency and ease. Key Features of Fincopy: 1. Server-Based Copying 💻: With Fincopy's server-based technology, you can initiate the copy function, log off your PC, and rest assured that all orders placed via web, mobile, and desktop applications will continue to be copied seamlessly. 2. Real-Time Telegram Updates 📲: Stay informed on the go with instant order updates and account status notifications delivered directly to your Telegram. Keep track of your trading activities wherever you are. 3. Comprehensive Position Monitoring 📺: Monitor all open and closed orders and positions across your accounts in one centralized location. Fincopy provides a complete overview of your trading landscape, ensuring you never miss a detail. 4. Effortless Rebalancing ⚖️: If discrepancies arise in positions or quantities, Fincopy's rebalancing feature allows you to adjust with a single click, ensuring all accounts remain perfectly aligned. 5. Auto Slicing and Rate Limit Management 🔪: When order slicing is necessary while copying. Fincopy automatically handles the process, by sending sliced orders. For large orders, our built-in queuing system efficiently manages rate limits, ensuring smooth execution. 6. Advanced Order Management 💹: Simplify your trading operations with the ability to square off all open orders or positions with one click, or selectively cancel orders directly from the platform. Fincopy puts you in full control. 7. Multi-Broker Support ✅: Fincopy currently supports seven brokers, with plans to expand further. This ensures you can manage your family accounts across different platforms without hassle. 8. Run Your System Trades and Copy the Orders Simultaneously 👩‍💻 By combining Fincopy with Fintarget you will be able to automate your system trading for free and copy the orders to multiple accounts. Pricing: Starting from 299/ Month/ Account with 7 Day Free Trail Explore Today🚀 Try out family account management with Fincopy. Visit and request a demo to experience the platform. Note: Fincopy is designed exclusively for managing family accounts, as managing public accounts is not legally permitted. Experience efficiency with Fincopy today.

Saketh R

76,286 次观看 • 1 年前

📢 AIRDROP 333 $BANMAO 🎁 👉Like ❤️ + Repost 🔁 + Follow 🐱 banmao 🐱🍌 👉Comment your XLayer wallet address 👇 🚀 BANMAO RPS - The FIRST GameFi & Childhood Rock-Paper-Scissors Triumphs on X Layer! ✊🖐✌️ 💬Dear Gamers, We are thrilled to announce the official launch of BANMAO RPS – a GameFi version of the timeless, beloved classic, Rock-Paper-Scissors, now available on the X Layer network! 🎉 BANMAO RPS is proud to be the FIRST GameFi project on X Layer! 🌟 What Makes BANMAO RPS SPECIAL? Simple & Easy to Play: 🎮 No complex learning curve, just pick Rock, Paper, or Scissors. Easy to approach, endless fun! Ultra-Low Cost on X Layer: 💰 Enjoy a near-free transaction experience thanks to the optimization of the X Layer network. Let's unlock the flow of X Layer together! 🌊 Multi-Language Support: The current website supports 7 languages. Eye-Catching Interface: 🎨 Modern, intuitive game design that offers a delightful visual experience. Completely Decentralized & Transparent: 🔗 Open Source Smart Contract. No backdoors or abusive Admin privileges. 🛡️ Everything is Community-Driven: Game results are determined in a decentralized manner; no one can interfere or cheat. ⚖️ 📜 Contract Address & Verification Transparency is our top priority! You can verify the source code and game logic here: BANMAO RPS Contract: 🤝 Join the Community & Develop Together! Let's put the past aside, respect differences, and look towards the future with $BANMAO. Become part of a growing community where fun and decentralization meet! 🌍✨ Download OKX Wallet 📲 and search for " in the dApp section. Or visit the website directly: 🌐 🙏 Big Thanks to DOREMON (ＤＯＲＥＭＯＮ)! We extend our sincerest gratitude to DOREMON (ＤＯＲＥＭＯＮ) for developing this amazing game. All suggestions and feedback to help make $BANMAO RPS even better, including translation contributions, can be sent to his mailbox. ✉️ Play now, Win big, and Discover the power of decentralized GameFi on X Layer! 🚀🏆 🔑 CA: 0x16d91d1615fc55b76d5f92365bd60c069b46ef78 💰 1$ → 10$ → 100$ → 1000$ 🚀🌕 🎶 Faith & dreams will overcome greed & fear 🎶 ✨ 信念和梦想将战胜人性中的贪婪与恐惧 ✨ 🔥 Together we rise, united as one community! 🔥 一起崛起，团结就是力量！ X Layer OKX OKXchinese OKX Wallet 中文 OKX Wallet Star_OKX 📌 #banmao #okx #xlayer #memecoin #community #btc #eth #okb #bananacat #香蕉猫 #memeking #Airdrop #GameFi

📢 AIRDROP 333 $BANMAO 🎁 👉Like ❤️ + Repost 🔁 + Follow 🐱 banmao 🐱🍌 👉Comment your XLayer wallet address 👇 🚀 BANMAO RPS - The FIRST GameFi & Childhood Rock-Paper-Scissors Triumphs on X Layer! ✊🖐✌️ 💬Dear Gamers, We are thrilled to announce the official launch of BANMAO RPS – a GameFi version of the timeless, beloved classic, Rock-Paper-Scissors, now available on the X Layer network! 🎉 BANMAO RPS is proud to be the FIRST GameFi project on X Layer! 🌟 What Makes BANMAO RPS SPECIAL? Simple & Easy to Play: 🎮 No complex learning curve, just pick Rock, Paper, or Scissors. Easy to approach, endless fun! Ultra-Low Cost on X Layer: 💰 Enjoy a near-free transaction experience thanks to the optimization of the X Layer network. Let's unlock the flow of X Layer together! 🌊 Multi-Language Support: The current website supports 7 languages. Eye-Catching Interface: 🎨 Modern, intuitive game design that offers a delightful visual experience. Completely Decentralized & Transparent: 🔗 Open Source Smart Contract. No backdoors or abusive Admin privileges. 🛡️ Everything is Community-Driven: Game results are determined in a decentralized manner; no one can interfere or cheat. ⚖️ 📜 Contract Address & Verification Transparency is our top priority! You can verify the source code and game logic here: BANMAO RPS Contract: 🤝 Join the Community & Develop Together! Let's put the past aside, respect differences, and look towards the future with $BANMAO. Become part of a growing community where fun and decentralization meet! 🌍✨ Download OKX Wallet 📲 and search for " in the dApp section. Or visit the website directly: 🌐 🙏 Big Thanks to DOREMON (ＤＯＲＥＭＯＮ)! We extend our sincerest gratitude to DOREMON (ＤＯＲＥＭＯＮ) for developing this amazing game. All suggestions and feedback to help make $BANMAO RPS even better, including translation contributions, can be sent to his mailbox. ✉️ Play now, Win big, and Discover the power of decentralized GameFi on X Layer! 🚀🏆 🔑 CA: 0x16d91d1615fc55b76d5f92365bd60c069b46ef78 💰 1$ → 10$ → 100$ → 1000$ 🚀🌕 🎶 Faith & dreams will overcome greed & fear 🎶 ✨ 信念和梦想将战胜人性中的贪婪与恐惧 ✨ 🔥 Together we rise, united as one community! 🔥 一起崛起，团结就是力量！ X Layer OKX OKXchinese OKX Wallet 中文 OKX Wallet Star_OKX 📌 #banmao #okx #xlayer #memecoin #community #btc #eth #okb #bananacat #香蕉猫 #memeking #Airdrop #GameFi

banmao 🐱🍌

22,666 次观看 • 8 个月前

$AMD $AMZN partnership will 🚀 in 2026 🔥 Amazon/AMD partnership is hidden among hot headlines from OpenAI $NVDA $ORCL... TLDR: Amazon refused to bid up the overpriced $NVDA chips among other hyperscalers, and decided to work closely with $AMD. Amazon is expected to spend up to $10-$20B a year on 2026 EPYC breakthrough Gen and Future Gen. Dr. Su confirmed "we have plenty for other large customers". For its 2026 EPYC "Venice" processors, AMD is using a multi-node manufacturing strategy: the CPU core complex dies (CCDs) are built on TSMC's 2 nm-class node (N2), while the I/O die (IOD) uses the N3P (3 nm) process. Context: Andy Jassy Amazon Web Services has been working with AMD on EPYC processors since November 2018. With this "secret weapon" breakthrough(patented), this long time partnership has expanded to New breakthrough 2026 EPYC Gen. AMD's 6th Gen EPYC "Venice" processors, slated for 2026, introduce New Chiplet design breakthrough. a revolutionary chiplet interconnect fabric that redefines server scalability for AI. This isn't just faster silicon; it's a paradigm shift for AWS, enabling hyper-efficient, rack-scale AI inference that slashes costs and latency while boosting throughput. AMD to benefit AWS's $100B+ AI opportunity along with $ORCL $MSFT $GOOGL $META Saudi, UAE ,38+ countries and startups. In early October, Amazon/AWS announced the new EC2 M8a instances as their latest-generation, general-purpose compute instances now powered by AMD EPYC 9005 "Turin" processors. Amazon announced the M8a as having up to 30% higher performance and up to 19% better price performance over M7a. With my testing of both at 32 vCPUs, the new AMD EPYC Turin instance provided 1.59x the performance over the prior-generation EPYC Genoa instance! How will this impact AWS AI Inference? ~Cost Efficiency: Inference is 80%+ of AI workloads and latency-sensitive (e.g., chatbots need <1s responses). "Secret weapon" enables 35x better inference perf (per AMD's CDNA roadmap tie-in), cutting AWS's energy use by 50%+ in clusters. With $118B 2025 capex, this could save $20–$30B annually in OPEX, boosting margins to 35%-40%. ~Scalability for Agentic AI: Supports "Helios" rack-scale platforms (up to 128 GPUs + EPYC hosts), delivering 3.58x FP6 perf for distributed inference. AWS can run 700K+ more tokens/sec in 1,000-node clusters (via EPYC 9575F boosts), enabling real-time apps like personalized search or fraud detection at enterprise scale. ~Adoption Catalysts: Early partners like Oracle signal broad uptake; AWS's existing AMD instances G4ad with Radeon GPUs) pave the way. By 2026, EPYC could power 40%+ of AWS AI infra, outpacing Nvidia's GPU lock-in via open standards (ROCm 8 software). Lastly, Amazon’s trajectory toward a $320 stock price is not a speculative leap but a grounded projection rooted in its unmatched fundamentals and strategic AI leadership. With Amazon Web Services poised to surpass $100 billion in annual revenue by 2026, driven by explosive AI inference demand, Amazon is redefining cloud computing’s future. The adoption of AMD’s 2026 EPYC processors with "Secret" architecture is a game-changer, slashing costs by up to 50% and boosting inference throughput 3x, enabling AWS to dominate enterprise AI workloads with unmatched efficiency. This technological edge, combined with Amazon’s e-commerce dominance and high-margin advertising growth, supports a valuation rerating to 22x EV/EBITDA, and it is still a discount to historical highs. Trading at $222, $AMZN is undervalued for its 15–20% revenue CAGR and 25%+ EPS growth through 2030.

$AMD $AMZN partnership will 🚀 in 2026 🔥 Amazon/AMD partnership is hidden among hot headlines from OpenAI $NVDA $ORCL... TLDR: Amazon refused to bid up the overpriced $NVDA chips among other hyperscalers, and decided to work closely with $AMD. Amazon is expected to spend up to $10-$20B a year on 2026 EPYC breakthrough Gen and Future Gen. Dr. Su confirmed "we have plenty for other large customers". For its 2026 EPYC "Venice" processors, AMD is using a multi-node manufacturing strategy: the CPU core complex dies (CCDs) are built on TSMC's 2 nm-class node (N2), while the I/O die (IOD) uses the N3P (3 nm) process. Context: Andy Jassy Amazon Web Services has been working with AMD on EPYC processors since November 2018. With this "secret weapon" breakthrough(patented), this long time partnership has expanded to New breakthrough 2026 EPYC Gen. AMD's 6th Gen EPYC "Venice" processors, slated for 2026, introduce New Chiplet design breakthrough. a revolutionary chiplet interconnect fabric that redefines server scalability for AI. This isn't just faster silicon; it's a paradigm shift for AWS, enabling hyper-efficient, rack-scale AI inference that slashes costs and latency while boosting throughput. AMD to benefit AWS's $100B+ AI opportunity along with $ORCL $MSFT $GOOGL $META Saudi, UAE ,38+ countries and startups. In early October, Amazon/AWS announced the new EC2 M8a instances as their latest-generation, general-purpose compute instances now powered by AMD EPYC 9005 "Turin" processors. Amazon announced the M8a as having up to 30% higher performance and up to 19% better price performance over M7a. With my testing of both at 32 vCPUs, the new AMD EPYC Turin instance provided 1.59x the performance over the prior-generation EPYC Genoa instance! How will this impact AWS AI Inference? ~Cost Efficiency: Inference is 80%+ of AI workloads and latency-sensitive (e.g., chatbots need <1s responses). "Secret weapon" enables 35x better inference perf (per AMD's CDNA roadmap tie-in), cutting AWS's energy use by 50%+ in clusters. With $118B 2025 capex, this could save $20–$30B annually in OPEX, boosting margins to 35%-40%. ~Scalability for Agentic AI: Supports "Helios" rack-scale platforms (up to 128 GPUs + EPYC hosts), delivering 3.58x FP6 perf for distributed inference. AWS can run 700K+ more tokens/sec in 1,000-node clusters (via EPYC 9575F boosts), enabling real-time apps like personalized search or fraud detection at enterprise scale. ~Adoption Catalysts: Early partners like Oracle signal broad uptake; AWS's existing AMD instances G4ad with Radeon GPUs) pave the way. By 2026, EPYC could power 40%+ of AWS AI infra, outpacing Nvidia's GPU lock-in via open standards (ROCm 8 software). Lastly, Amazon’s trajectory toward a $320 stock price is not a speculative leap but a grounded projection rooted in its unmatched fundamentals and strategic AI leadership. With Amazon Web Services poised to surpass $100 billion in annual revenue by 2026, driven by explosive AI inference demand, Amazon is redefining cloud computing’s future. The adoption of AMD’s 2026 EPYC processors with "Secret" architecture is a game-changer, slashing costs by up to 50% and boosting inference throughput 3x, enabling AWS to dominate enterprise AI workloads with unmatched efficiency. This technological edge, combined with Amazon’s e-commerce dominance and high-margin advertising growth, supports a valuation rerating to 22x EV/EBITDA, and it is still a discount to historical highs. Trading at $222, $AMZN is undervalued for its 15–20% revenue CAGR and 25%+ EPS growth through 2030.

Mike

511,082 次观看 • 8 个月前