Ms Ngọc Anh ./
@flowerlang20
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Joined February 2024
inference cost continues to decrease across the board. this is beneficial to supporting growth of AI in applications and services. overtime I believe we will see a mixture of heterogeneous machines serve its best suited workloads across different types of inferencing and
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SHARE TIN NGAY - NHẬN QUÀ LIỀN TAY 6⃣0⃣slots x 💰5⃣mỗi slot (Quà tặng crypto - Token $BARD) Chỉ với 3 bước đơn giản: --- Bước 1: Comment 1 số may mắn, 3 chữ số, ngay dưới bài đăng này Bước 2: Tag 3 người bạn Bước 3: Share bài viết dưới đây lên Profle X cá nhân
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🔥 SEASON 2 IS LIVE — CUT THROUGH THE NOISE Access → https://t.co/eBoVA00GN0 Access → https://t.co/KK3aHDYAUu Season 2 kicks off the $SIGNALS / $AGENCY launch cycle. 🗓 $SIGNALS Launch Jan 19 · 12:00 PM CST Top 100 users on the leaderboard will receive priority SIGNALS NFT
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The engine that has powered every successful ICM launch on @base and @districtxyz is almost here. Fuck the narrative. Fuck the market. Make your own. https://t.co/KK3aHDY34W
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We’re pleased to announce that $AUCTION is launching exclusively on @districtxyz
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I am on the @LoraFinance waitlist!
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Renting upside is real. No liquidation. No force-close. Shipping. Enter waitlist → https://t.co/LnmZyKN9Nf
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VeriLLM - Bringing Integrity and Verification to Distributed Intelligence. for less than 1% of the inference cost you can verify if the output is truly what you requested. engineering distributed inference with fully verifiable transparency. current solutions of - cross
we made distributed inference verifiable with <1% overhead. verification is critical for any distributed system. in a trustless network, actors may swap your 70B model for a cheaper 8B one to cut costs. until now, maintaining inference integrity meant either doubling your cost
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we made distributed inference verifiable with <1% overhead. verification is critical for any distributed system. in a trustless network, actors may swap your 70B model for a cheaper 8B one to cut costs. until now, maintaining inference integrity meant either doubling your cost
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The architecture of Echo solves a critical challenge within the co located RL framework. By separating inferencing and training into independent swarms, it addresses the interruptions between switching back and forth from inferencing -> training and training -> inferencing. This
A previous display of Echo trained 30B Sokoban, leading performance against much larger model comparisons of DeepSeek R1 and GPT-OSS-120B ./ Echo by @Gradient_HQ scales reinforcement learning with consumer machines, drastically reducing the cost of building better intelligences
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Check RoboX Early MVP Program.
robox.to
Help us reach new contributors by sharing RoboX across social media and earn rewards for every milestone you help unlock.
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As we head into 2026, here are some of @Gradient_HQ wonderful innovations in 2025: Echo RL - Large Scale Reinforcement Learning Alignment Parallax - Sovereign AI OS, Global Cluster Scale Lattica - Universal Communication SEDM - Scalable Self Evolving Distributed Memory Symphony
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Happy New Year./
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Experience the latest leading GLM 4.7 model by Z AI through @tryParallax with your own local machines. 💻 Combine GPU or Mac machines to build your AI cluster to power GLM 4.7! ./ Vibe code to your hearts desire 👀 @Gradient_HQ
GLM-4.7 is featured on Artificial Analysis Intelligence Index, positioned as a leading open-source model.
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I just earned +363.147547 BSD in the simulation market. https://t.co/qVZfJimj5g
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I just earned +338.147547 BSD in the simulation market. https://t.co/qVZfJimj5g
#BSDchallenge #BSDairdrop #AAPL #TSLA #MSFT #NVDA #CRCL #COIN #MSTR #BSD via @BlockSt_HQ
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Excited to partner with @awenetwork_ai! Together we power a autonomous, scalable, agentic future.
🤝 AWE x @Gradient_HQ We’re excited to partner with Gradient, an AI R&D lab building open infrastructures for distributed model serving and training. As Gradient’s enterprise platform, Gradient Cloud provides scalable, reliable, and cost-efficient inference for developers and
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