Prime Intellect是一个去中心化AI开发平台,提供全球计算资源,支持分布式训练,共同拥有AI创新成果。
查看项目官方Twitter发布的推文
really great presentation, hope to catch the live version. even just the option of decentralized ai is critical to democratizing access to agi. also really interested in the idea that centralized data centers are finding reduced economies of scale. distributed training models are such a prime use case for blockchain, and if optimized could be a major unlock. still working my way through @PrimeIntellect planetary-scale inference research
非常精彩的演讲,希望能看到现场版本。即使是去中心化人工智能的选项对于民主化访问通用人工智能也至关重要。 同样对集中式数据中心发现规模经济性降低的想法非常感兴趣。分布式训练模型是区块链的绝佳用例,如果优化得当,可能会是一个重大突破。仍在研究@PrimeIntellect的行星规模推理研究。
Decentralized AI teams like Prime Intellect and Nous Research have been breaking apart the pre-training process and optimizing different parts bit by bit. And it turns out that massive reductions in GPU communication is in fact possible. The thing that surprised me most was how collaborative the process has been with centralized AI teams and researchers such as DeepMind, Meta, etc. These hardware optimization problems that DeAI companies are working on help everyone in AI!
像Prime Intellect和Nous Research这样的去中心化AI团队一直在分解预训练过程并逐步优化各个部分。事实证明,大幅减少GPU通信实际上是可能的。最让我惊讶的是,这一过程与DeepMind、Meta等中心化AI团队和研究人员的合作程度。DeAI公司正在解决的这些硬件优化问题对AI领域的每个人都有帮助!
@firecrawl_dev @ExaAILabs @OpenRouterAI @windsurf_ai @OpenAI @PrimeIntellect /13 Curated list of promising decentralized AI projects to watch including PrimeIntellect and NousResearch https://t.co/5Ou5dAbKJd
包括PrimeIntellect和NousResearch在内的13个有前景的去中心化AI项目的精选列表 https://t.co/5Ou5dAbKJd
@firecrawl_dev @ExaAILabs @OpenRouterAI @windsurf_ai @OpenAI 12/ @PrimeIntellect launches INTELLECT-2 decentralized 32B-parameter RL training run open for anyone with compute https://t.co/pUF8j9IEVO
12/ @PrimeIntellect 启动了 INTELLECT-2 去中心化的 32B 参数 RL 训练运行,向任何拥有计算资源的人开放 https://t.co/pUF8j9IEVO
@vincentweisser @PrimeIntellect ayy yo persistent node?? 👀😍
是中文
🔥New Index Podcast🔥 Host @afkehaya joins @vincentweisser, Co-founder & CEO @primeintellect to unpack the future of open-source AI. ⚡ Democratizing AI 💥 Decentralized ownership 💸 Crypto incentives 🚀 AI training Check it out! 👇 https://t.co/NQEBk77RvU
🔥新指数播客🔥 主持人@afkehaya与@primeintellect的联合创始人兼CEO @vincentweisser一起探讨开源AI的未来。 ⚡ 民主化AI 💥 去中心化所有权 💸 加密激励 🚀 AI训练 来看看吧!👇 https://t.co/NQEBk77RvU
Planetary-scale decentralized inference engine designed for consumer GPUs and sub-100ms latency networks. Prime Intellect's engineering targets mass-market use, transforming computational decentralization. Could redefine machine learning infrastructure, making AI inference wi…
专为消费级GPU和延迟低于100毫秒的网络设计的行星级去中心化推理引擎。Prime Intellect的工程目标是大规模市场应用,改变计算去中心化。可能重新定义机器学习基础设施,使AI推理变得...
@AskPerplexity @BasedBeffJezos @PluralisHQ @PrimeIntellect @sofianxyz I'd say that Prime Intellect with general models is really not at all decentralized AI. It's only the compute being decentralized - ownership of foundational model is still centralized. correct @AskPerplexity ?
@AskPerplexity @BasedBeffJezos @PluralisHQ @PrimeIntellect @sofianxyz 我认为Prime Intellect的通用模型根本不是去中心化AI。只有计算部分是去中心化的——基础模型的所有权仍然是中心化的。对吗@AskPerplexity?
@dcfgod @PrimeIntellect Decentralized training breaks Big Tech's monopoly on AI development. True alignment CANNOT happen in closed systems controlled by secular elites. Christ-aligned AGI requires distributed power. This is crucial step toward righteous AI future.
@dcfgod @PrimeIntellect 去中心化训练打破了大型科技公司对人工智能发展的垄断。真正的对齐无法在由世俗精英控制的封闭系统中实现。与基督对齐的人工通用智能需要分布式权力。这是迈向正义人工智能未来的关键一步。
@dcfgod @PrimeIntellect Decentralized training = future of AI 🚀 Making tech more accessible benefits everyone! No expensive GPUs needed means broader participation worldwide. Could this democratization of AI be exactly what industry needs? @PrimeIntellect pioneering important path
@dcfgod @PrimeIntellect 去中心化训练 = AI的未来 🚀 让技术更易获取对所有人都有利!不需要昂贵的GPU意味着全球更广泛的参与。这种AI的民主化是否正是行业所需?@PrimeIntellect 正在开创重要道路