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PITN has assembled a portfolio of exact-match multilingual digital assets spanning approximately 30 of the world's most widely spoken languages and writing systems. Structured using Unicode-based normalization, transliteration, and cross-lingual terminology mapping, the portfolio is designed to function as a semantic gateway for robotics and humanoid AI. By aligning concepts such as ROBOT, ROBOTS, HUMANOID, HUMANOIDS, and HUMANOID ROBOT across native scripts, these assets may support ontology-driven knowledge organization, AI discovery, semantic search, multilingual SEO, and globally consistent concept representation as search evolves from keywords to meaning. As humanoid technologies scale worldwide, standardized multilingual semantic infrastructure may become an increasingly important layer for global interoperability and discoverability. The more compelling question is not whether this semantic layer will matter, but at what point a major robotics company will have its "aha" moment and recognize that has already assembled a semantic gateway that could be leveraged today to accelerate global multilingual concept alignment and future humanoid ecosystems. #PITNAI# #Humanoid# #HumanoidRobots# #Robotics# #Ontology# #SemanticWeb# #KnowledgeGraph# #SemanticSearch# #AI# #NLP# #Multilingual# #Unicode# #SEO# #FutureOfAI# #AgenticAI# #DigitalInfrastructure#
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Take a look at another page from Toy Worlds Atlas, a philosophic colouring-book! This puzzle explores Chalmers’s ontology of virtual reality. Using logic, the player must distinguish between colourants representing real and virtual objects. #ShowcaseThursday# #SoloDev# #IndieGame#
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At DevCon 6, Palantir Software Engineer Ankit Shankar unveils the Agent Stack, a set of products to help you build production agents for the enterprise, all built on the Ontology. ▪️Orchestrator for durable execution ▪️Agent Engine and Agent SDK for building agents of any shape ▪️Agent Manager for actionable telemetry and observability ▪️AIP Evolve for continuous, end-to-end optimization
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Palantir CEO Alex Karp on why the model is not the moat. The application layer is: "To make them valuable in an enterprise, like a battlefield, regulated, or manufacturing context, you have to have what's called an application layer." "We have this thing called ontology that now everyone's copying. It takes a large language model and makes it safe and useful and precise." "Safe because it doesn't touch your underlying data." "Safe because it prevents the large language model from caching your data and replicating your business." The tell for any enterprise AI pitch: ask what sits between the model and your data. If the answer is nothing, you are not buying leverage. You are renting a fast way to hand your business to whoever owns the weights. Alex Karp, CEO of Palantir, on CNBC.
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Palantir CEO:OpenAI 和 Anthropic 在抢劫每一家财富 500 强公司 Palantir CEO Alex Karp 在 CNBC 采访中表示,企业级 AI 的真正价值不只来自模型本身,而是模型、应用层和算力三者结合。他认为,企业和政府客户真正关心的是能否控制自己的数据、模型权重、算力和业务 Alpha,而不是在按 token 付费的同时,把核心业务能力交给第三方前沿 AI 实验室。 Karp 称,许多企业私下已经对这种模式感到不满,担心自己支付了高昂费用,却没有获得真实价值,反而让自身数据和竞争优势被转移。他同时表示,AI 并非没有价值,算力、Ontology 与模型结合正在改变历史进程,但行业不需要对已有技术进行过度推销。 内容不构成任何投资建议,请严格遵循当地法律法规。 《白线 WhiteLine》由吴说团队出品,从 Crypto 走向更广阔的资本市场,关注 AI 时代下的趋势变化与交易机会。
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Today I released the public preprint of SPOO: The Primal Geometry of Coherence. It argues that what we call “AI” is not intelligence in the ordinary sense, but synthetic coherence: structured output without governed evidentiary grounding. This is the framework I’ve spent 13 months building for the public, academia, and industry. This is not mere philosophy. Public preprint below with free PDF link to the SPOO ontology. This is just the very beginning of where this will go.
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Many people think any given ML project is 99% training. In reality, it’s 50% evaluation, 40% data cleaning, 8% integration, and 2% training. The first two set the noise floor for learning. No ML magic matters; the model cannot lower the noise floor, as that’s the optimal bound of Shannon encoding of your data. Thus, not a single day goes by without me thinking about ontology. Even the old labels have to be constantly reviewed.
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作为苦逼ToB 人,正在研究 Palantir的本体论(Ontology)。 还不太搞的懂,到底是知识图谱?领域建模?还是什么。 倒是解决的问题很直观,用模型解决生产中的问题(比如设备故障诊断等)。
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笪鸿飞币圈连襟会系列之小娴CZ Zhang 在CZ小娴这里,阿笪 @dahongfei 已知的连襟包括: #朱怀阳# #徐义吉# #于隽# @jun_yu #周硕基# #方靖阳# @ryanfang95 #白玉鹏# 等人。 1 当年CZ小娴是朱怀阳的女友,在朱怀阳的影响下开始接触到了币圈。 据知情人士透露,朱怀阳已成大陆通缉犯,是潜逃状态,前几年在新加坡跟杜割共创业。关于这一点,杜割 @DujunX 你不会不知道吧? 2 据知情人士透露: 2021那会,是于隽带着CZ小娴去新加坡,于隽带她一块投了几个项目混圈子,CZ小娴开始以投资人自居。 2023年3月28日,于隽因涉嫌性侵于被中国大陆杭州公安立案调查。 3 严格来说,跟两次逃脱司法制裁的司法狂徒白玉鹏相处,CZ小娴有两个角色:助理+红颜知己。 还有,CZ小娴一直对老周 @benbybit 感兴趣。 这么看来,阿笪也算间接性地跟其余各位的小兄弟碰过头。 另外再预告下: 阿笪啊,你真是海内存知己,天涯若比邻啊。 拥有100,000 + $BTC & 中国公链第一人 & @Neo_Blockchain 创始人 & @OntologyNetwork 实控人 & $FLM $O3 等归零币实控人, 笪鸿飞 @dahongfei 还有个供养了8年的红颜知己。
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十万饼侯 1 笪鸿飞—— 中国公链第一人 百科之前说过,中国公链第一人笪鸿飞 @dahongfei 作为 @Neo_Blockchain 创始人之一,手头的 bitcoin:native 超过100,000 + 。 笪鸿飞当年在$5-$10 的区间就清仓了$NEO 。 因为把 $NEO 卖在了低位,笪鸿飞心有不甘,怂恿李俊在2018年初发行了 $ONT @OntologyNetwork 。最终也导致李俊在前几年被帽子叔叔带走了。 故 $ONT 最大的实控方,是躲在李俊背后的笪鸿飞。 笪鸿飞的另外一笔主要财富,则是 $NEO 基金会当年所投的币安原始股。但这部分最终被笪鸿飞所私吞。 还有,笪鸿飞在前面几轮行情中,连续通过发 $FLM $O3 等归零币收割,并将利润置换成 bitcoin:native 。 2 胡小伟—— 陈志Big Bro 首先,目前陈志的Big Bro胡小伟&陈小二&胡晏铭,肉身就潜藏在日本。 陈志当初是在 胡小伟&陈小二&胡晏铭 的影响下,开始涉及加密资产并通过太子集团旗下的关联子公司购入&屯有大量 bitcoin:native。 胡小伟一方面是太子集团和盛大传奇国际资产管理集团的实控人之一,一方面也是陈志的幕后核心首脑及带头大哥,其所实际拥有的 bitcoin:native 数量 与财富,都是远超陈志的,单 bitcoin:native超过200,000+ 。 3 白玉鹏—— 司法狂徒 矿圈传销大割白玉鹏当年一方面是通过传销神盘 Fis 完成了海量的 bitcoin:native 收割,另外当年白玉鹏还通过代投的方式收割了好几波;之后则又是杀入矿圈,进一步完成了财富收割。 从2015—2023年这8年间,白玉鹏两次逃脱中国大陆湖南怀化及广西百色两地的司法制裁。 撇开 $ETH 不论,单白玉鹏所控 bitcoin:native 就超过100,000+ 。 4 姜英英—— Vitalik 前女友 @VitalikButerin 前女友 姜英英,作为 $ZEC @Zcash 的实控方之一 ,对 $ETH 是不存在信仰的。在2017、2018年那会 姜英英就把手里的 $ETH 清仓换成了 bitcoin:native 。 姜英英手里超过 100,000 + bitcoin:native ,应该是币圈唯一一个从财富上可以跟BN何三一较高下的女性。 万向系的老人对姜英英,应该都不陌生吧? 5 陈志与钱志敏 至于已经归案的胡小伟头号马仔陈志及被英国警方逮捕判刑的钱志敏,二人所控制的 bitcoin:native 也均超过 100,000。其中的细节详情,各位可以自行了解。 @PDChinese @XinhuaChinese @XHNews @NewsCaixin @caixin @ChineseWSJ @thepapercn @CNS1952 @Echinanews @globaltimesnews @Shanghai_City @shanghaidaily @ChinaDaily @zaobaosg @takungwenwei_hk @Tong_Shuo @QiushiJournal @FTChinese @ChineseWSJ @nytchinese @ABCChinese @rijingzhongwen @ReutersChina @SpokespersonCHN @zlj517 @chinascio #笪鸿飞# #胡小伟# #白玉鹏# #姜英英# #陈志# #钱志敏#
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