Mira 也建基金会了，最近有点项目方发币潮的意思在过去几个月里 Mira 构建了 AI 基础设施和 Mira Flows、Verify API 共识框架希望开盘可以博弈一下Mira Foundation (@miraFND):https://t.co/pFfTe9kM1v ...

Core Viewpoint - Mark Zuckerberg is attempting to recruit members from the company Thinking Machines, which includes former OpenAI employees, offering substantial compensation packages, but has faced rejection from all targeted individuals [1][3][4]. Recruitment Efforts - Zuckerberg has offered between $200 million to $500 million, with some offers exceeding $1 billion over multiple years, aiming to recruit about 25% of Thinking Machines' 50 employees [2][4]. - Despite the lucrative offers, no employees from Thinking Machines have accepted the proposals to join Meta [3][4]. Company Valuation and Funding - Thinking Machines recently completed a $2 billion seed funding round, marking it as the largest seed round in history, with a valuation reaching $10 billion [9]. - The company had initially aimed for a $1 billion funding target, which was doubled within a few months [9]. Employee Movement - While Thinking Machines employees have declined offers, Meta has successfully recruited key personnel from Apple, including Bowen Zhang, a significant researcher in multimodal AI [13][16]. - This marks the fourth Apple employee to join Meta in a month, indicating a notable trend of talent migration from Apple to Meta [16]. Strategic Adjustments - Meta is reportedly considering a shift in its AI strategy, potentially moving away from open-source models and restructuring its AI department with significant financial investments [19][20]. - The company is exploring the development of AI agents capable of executing step-by-step tasks, similar to OpenAI's models [21]. Financial Performance - Meta's second-quarter earnings report indicated an 11.5% profit growth rate, the slowest in two years, with operational costs rising by 9% due to AI investments [19]. - Despite the challenges, Meta's stock price has increased by over 20% this year, reflecting investor support for Zuckerberg's strategic changes [22].

RT Tintin(3/3) 💢 (@Tintinx2021)AMA 预告｜☕️AI 落地往哪走？我们和它的距离还有多远？Hallucination 滥用、模型污染、结果不可复现…当我们开始信任 AI 的时候，也必须学会：如何验证它。🧠 一场关于 Trustless AI 的自由对话📍我们聊：Trustless AI 到底是什么？最可能先落地在哪些场景？“验证输出” vs “验证过程”，哪个更重要？AI 能替人决策吗？出了错谁负责？🎙️ 嘉宾来自• Owen｜Mira 中文社区经理 @MiraNetworkCNMira 以“多模型共识 + 节点验证”机制，推进 AI 输出的可验证性• laughing｜KiteAI 亚太负责人 @0xLaughing推动 PoAI 机制，探索数据和模型的归因与激励• Jtsong｜0G Labs 华语负责人 @Jtsong2专注 AI 计算与存储的底层可信基础设施• Lawiet｜TabiChain 联合创始人 @Lfuckjpg聚焦链上内容消费、AI 应用体验与用户信任机制• Sleepy｜WGG 创始人 & 律动深度作者 @sleepy0x13长期关注 AI 与 Web3 ...

Product Launch & Features - Mira launched Verify system, a new interaction method in beta, aiming to solve the internet's truth problem [1] - Mira Verify uses multi-model consensus to identify hallucinations and misinformation [1] - The system identifies small errors effectively [1] User Engagement - A waitlist application is available for the beta version [1] - Users can apply by submitting their email addresses [1] Company Positioning - Mira positions itself as the "multi-sig of truth" [1]