Giá GrokXAI

RT @MLeeJr: most of us can’t invest in xAI it’s a private company and we’ll never be invited for a spot on the cap table that’s reserved…

🚀 @JoinSapien的激动人心的新动态！ #Sapien 在最后的冲刺阶段迎来了重磅消息——Anto Patrex 将加入顾问团队，带来 CosmicBrain 的专业知识！🌟 与 Dovey Wan 作为“数字资产传播者”的角色不同，Anto 专注于“世界基础模型（WFM）”，这对于训练机器人和提升工厂自动化至关重要。 他作为“物理世界 AI 架构师”的经验，为 #Sapien 开辟了新的技术可能性。✌️ #CosmicBrain 的创始团队拥有来自 Google、xAI 和 NASA 等知名机构的背景，展现了强大的技术基础。 他们的先进模型承诺显著提升性能，声称硬件训练速度可提高至 100 倍，提供高保真度的物理仿真，并具备从文本或视频生成现实场景的能力 （Text2World/Video2World）。此外，他们还开发了可扩展的模型（4B-13B），以适应不同的硬件环境。👍 在工业布局方面，CosmicBrain 正在积极拓展国际市场，最近与乌兹别克斯坦达成了 AI 人才合作协议。他们的技术已经集成到阿里云的 PAI 平台，突显了其强大的商业实施能力。 在公开演讲中，Anto Patrex 坦率地讨论了当前 AI 的局限性（“现在的 AI 真是太笨了”），并指出能源危机是制约 AI 发展的重要因素。这种务实的态度很可能是 Sapien 在选择顾问时所重视的。 CosmicBrain 的物理 AI 模型与 NVIDIA 的 Cosmos 技术生态系统之间的合作，可能会带来激动人心的协同效应。作为一个专注于 AI 训练数据的公司，Sapien 与 CosmicBrain 在机器人训练数据集方面有着深度合作的巨大潜力。然而，值得注意的挑战包括模型计算的高能耗和当前团队规模较小： 📌 CosmicBrain 的 13B 模型在 H100 上推理需要 150 秒，这可能限制其在实时场景中的应用。 📌 工业环境需要高度定制，要求与特定设备协议（例如 PLC、ROS）的深度集成，目前的案例研究有限。 Anto Patrex 的加入补充了 Sapien 在物理 AI 仿真和机器人训练方面的核心技术。短期内的合作将集中在优化合成数据生成上，而中长期目标可能包括联合开发基于物理的工业自动化解决方案。然而，克服实时性能和行业适应性方面的瓶颈将至关重要。这一举措也反映了 #Sapien 扩展在具身 AI 训练基础设施方面的战略意图。 让我们一起训练与获利，成功近在咫尺！ 💪👀 立即加入

WHY CREATING A “TRUTHFUL AI” IS WAY HARDER THAN IT SOUNDS Training an AI to be honest and unbiased sounds simple - just feed it facts, right? In reality, it's more like teaching a robot philosophy using a stack of tabloids, Reddit threads, and conspiracy blogs. Most large language models are trained on massive piles of internet data. That includes sources like Wikipedia and peer-reviewed articles, but also garbage: misinfo, ragebait, click-farms, and literal satire taken as gospel. The result? It learns patterns, not truth. If a lie gets repeated often enough, it looks statistically legit. The core issue is this: the internet is made by humans, and humans are deeply biased. Most of the content comes from Western, English-speaking voices. That skews perspectives and creates blind spots for everything from woke ideology to global history. Social media echo chambers only amplify it - if your whole feed screams one worldview, the AI learns to scream it too. Even when the data’s clean(ish), models still hallucinate. If the training data includes conflicting info (like on climate change or health), it might mash it all into something that sounds convincing but is totally wrong. And then there’s human feedback - used to steer models post-training - which, surprise, is also biased. What's "neutral" to one person is "agenda-driven nonsense" to another. This isn’t just academic: AI is already being used in hiring tools, education, legal advice, even therapy bots. When it's biased, wrong, or just makes stuff up, real people get hurt. That’s why companies like @xAI are throwing everything at the problem - better data sources, diverse test cases. But there’s no silver bullet. So next time someone says “just train the AI to tell the truth,” remember: it’s trying to learn from the internet. The same place that gave us flat Earth debates, lizard people conspiracies, and YouTube comment sections.

Bitget has earned a reputation for launching innovative tokens with unique narratives — and $SPON is no exception. But how does it compare to other recent listings? Let’s start with market behavior. Like many recent launches (e.g., $XAI , $PHY ), $SPON experienced an early surge in both price and volume followed by a healthy retrace. This pattern reflects speculative excitement tempered by profit-taking — a common trait across new listings on Bitget. What differentiates $SPON, however, is its hybrid use case model. While many tokens focus on DeFi mechanics or metaverse themes, $SPON is carving a niche in the lifestyle-meets-Web3 category. That aligns more closely with social utility tokens like $BZZ or $ACX , rather than strictly financial primitives. In terms of tokenomics, $SPON leans toward sustainability. Its structured unlocks, staking incentives, and brand integration utility aim to support long-term engagement. This puts it a step ahead of hyped meme listings, where utility is often an afterthought. Another comparative advantage is the community involvement pre- and post-listing. $SPON had organic traction even before listing, and its post-launch feedback loops (AMA sessions, user guides, etc.) mirror the success strategies of previous Bitget stars like $UNITE ⚖️ Verdict: Among Bitget’s 2025 listings, $SPON holds a unique spot due to its real-life integration plans and lifestyle focus. It may not pump as violently as meme tokens, but it shows promise as a mid- to long-term ecosystem token.

there’s no point in trying to confirm the grok coin with xAI they literally had nothing to do with it grok did it completely outside of their control and they likely don’t even know grok has a wallet on a multimillion run rate and if they’ve heard, my guess is they assume it’s ’just another crypto scam’ seek truth 👇