Artificial General Intelligence (AGI) Race - The core equation for achieving intelligence is "Compute + Data = Intelligence" [1] - The report questions what is preventing China from achieving AGI first [1] Key Resources for AGI - China possesses significant electricity generation capacity to power GPUs, which in turn drives compute [1] - The report raises the question of what data sources China is utilizing to train its models [1]

Sentiment Analysis & Data Applications - The industry acknowledges the potential misuse of data but emphasizes that the issue lies with people, advocating for exploring new and interesting use cases for data [1] - The industry is closely monitoring Kaito-powered projects like Trends, which focuses on sentiment scraping and CT (Crypto Twitter) opinions, recognizing the early stage of info/sentiment/signal classifying data services [2] - The industry believes that identifying a successful "hit" within these data services could be transformative [2] Kaito AI & Community Benefits - Kaito AI is powering Trends, an internet content market aiming to build a value-anchored social protocol [2] - Kaito is offering benefits for its community (sKAITO holders) as part of their TPS Season 1 [3]

Overview - CMC provides comprehensive resources for thorough research [1] - The platform offers charts, data, news, and insights [1] Value Proposition - CMC emphasizes knowledge-based research over shortcuts [1] - The platform aims to empower users to "Do Your Own Research" (DYOR) effectively [1]

Vision & Strategy - The company's early vision focused on cloud, open source, data, and AI, demonstrating foresight into market trends [1] - The company declined a $10 million offer for on-premise deployment, prioritizing its cloud-based strategy [1] Customer Acquisition & Market Shift - JP Morgan Chase initially stated they would "never be in the cloud" but later became one of the company's biggest customers, highlighting a significant market shift [1] Financials - In the early days, the company's first-year targets were less than $1 million [1]

One of the smartest things we did at data bricks was we priced based on consumption. So you could start super small but as you start to consume more it could get super big and then we expanded to multiple products all that kind of thing. But if you think about data and AI data is growing the number of queries you're going to do or grows.So having a consumptionbased model is super smart. I see this mistake a lot like people be like oh I'm going to price on users. There's a cap on users and you know if the ec ...

AI应用与数据 - AI应用正从训练模型转向利用前沿模型解决大型问题[1] - 应用阶段的数据重要性被低估，AI需要访问信息而非原始数据[1] - 行业正在将对象和原始数据的存储重构为数据智能[1] 存储与计算 - 数据智能为全球企业提供AI运行所需的信息结构[1] - 这代表着计算和存储关系的非凡重构[1]

RT Bloomberg Opinion (@opinion)Will Jerome Powell make it clear that he bows to no one except the data? 📊Tune in for Fed Day 🎥https://t.co/VrIJWN8ERR ...

AI Infrastructure Challenges - Scaling AI deployments faces data challenges, not just compute limitations [1] DDN Infinia Solutions - DDN Infinia guarantees consistent performance under heavy AI loads [1] - DDN Infinia prevents tenant interference and enforces intelligent QoS (Quality of Service) [1] - DDN Infinia provides full visibility and control across dynamic, multi-tenant environments [1] Session Highlights - The session includes a live demo of DDN Infinia's capabilities [1] - A live expert Q&A session is available for attendees [1]

[Music] Hey everyone. Um hope you are having a great conference. Um so I'm going to talk about uh how to run events at scale and thinking beyond accuracy or similarity.Uh so in the last uh presentation we we learned about like how to art u architect the AI applications um and then whys are important. In this presentation I am going to talk about like the importance of ewells as well as what type of ewells we have to choose when we are crafting an application. This is a bit about me.Um so I work as a lead en ...

A month ago Meta acquired Scale AI for $14B, now a16z comes out and is backing Poseidon🤔Poseidon (@psdnai):AI is moving beyond the browser and into the real world. The bottleneck? Data.Today we’re announcing a $15M seed round led by @a16zcrypto to build infra that collects, curates, and licenses high-quality data for physical AI.Incubated by and built on @StoryProtocol. https://t.co/OKnHrtTwgq ...