Category: Business
Introducing the 2023 Launch of the Smart Money Concepts TradingView Indicator: Pioneering Cutting-Edge Technology
Smart-Money Trader is thrilled to announce the official launch date of its highly anticipated Tradingview indicator software. Rumors are already circulating among both seasoned observers and devoted Trading enthusiasts, as the momentous “release” date of the master pattern indicator has arrived. In 2023, Smart-Money Trader is unveiling three key aspects for its eagerly awaiting audience.
Foremost, anticipate an introduction to an innovative methodology seamlessly integrated into this financial charting system. The Master pattern indicator’s roots trace back over a century, drawing inspiration from the pioneering insights of renowned traders like Jesse Livermore and Wykoff. Their groundbreaking discoveries revolutionized trading systems, reshaping the landscape of financial markets. This revelation unlocked the understanding of the market’s three distinctive phases, enabling traders to decipher market movements and gauge market maker intentions.
Smart Money Trader’s commitment to delivering cutting-edge trading technology to a global audience makes this system’s availability to the masses hardly surprising. Their dedication to offering traders a significant advantage is abundantly clear.
Additionally, to celebrate the launch event, Smart-Money Trader will extend a substantial discount to early bird purchasers. This gesture aims to raise awareness among fellow traders about this groundbreaking technology.
For devoted industry enthusiasts, an insight into the creation of the Master pattern indicator is equally compelling. It has been a six-month journey from inception to the final product, a testament to the meticulous craftsmanship behind it. The Tradingview indicator software comprises three core components: contraction boxes, expansion lines, and liquidity lines. These elements form the bedrock of the market, unveiling the imprints left by market makers. This comprehensive approach promises to satisfy the discerning palates of Trading connoisseurs worldwide.
Seth Grey, Co-owner at Smart-Money Trader, adds, “The master pattern indicator is meticulously crafted to enable you to replicate the market makers’ strategies, ensuring you consistently align with the right side of the market.”
Pinecone, an AI startup, secures $100 million amid surging demand in the LLM vector database market
Pinecone, the prominent New York City-based vector database firm, renowned for supplying enduring memory solutions to substantial language models like OpenAI’s GPT-4, has officially disclosed its successful completion of a Series B funding round, securing a remarkable $100 million in investment at a valuation of $750 million. Leading this significant funding effort is the renowned venture capital firm, Andreessen Horowitz.
In 2021, Pinecone introduced its groundbreaking vector database, a fully managed service designed to empower engineers in the rapid development of high-speed, scalable applications by harnessing AI model embeddings and seamlessly transitioning them into production. In the current era of generative AI, Pinecone plays a pivotal role in assisting engineers in bridging the gap between chatbots and their organization’s proprietary data, ensuring accurate responses and averting any semblance of false information.
The ascendancy of ChatGPT, particularly in the past year, has propelled Pinecone to new heights, with its platform swiftly establishing itself as an indispensable component within the software ecosystem, specifically as the memory layer for various AI applications. The company proudly reported a substantial surge in its customer base throughout 2023, featuring prominent names such as Gong and Zapier, encompassing businesses of all sizes and industries. Notably, the vector database category has expanded to include additional tools, including Chroma, Weaviate, and Milvus.
Pinecone took off with the explosive shift to generative AI
When the company was originally founded, it had its sights set on the emergence of Large Language Models (LLMs). However, the rapid and explosive growth of generative AI took everyone by surprise, according to Edo Liberty, the founder and CEO of Pinecone (and former director of research and head of Amazon AI Labs), who shared his insights in a Zoom interview with VentureBeat.
Liberty described this unexpected development, saying, “It essentially breached the collective consciousness. It started as a gradual progression, but then suddenly, it skyrocketed overnight.” He went on to explain that with the launch of ChatGPT, millions of developers worldwide became excited and incredibly creative about the possibilities it offered, leading to the creation of impressive applications.
Furthermore, Liberty highlighted that generative AI had become a significant topic at the boardroom level across various industries. He emphasized, “Whether you are an architect, a law firm, or a consulting company, the impact of this technology on your business, whether positive or negative, became a crucial consideration. Companies had to strategize their approach.” He added, “I can’t recall a single company I’ve interacted with that hasn’t initiated some language and AI-related project.”
Developers’ interest in Pinecone continued to grow as they explored various applications for Large Language Models. Liberty cited recent examples in the AI community, where discussions revolved around the long-term potential of autonomous AI agents, with tools like Auto-GPT and BabyAGI gaining attention. He noted, “Both of these projects leverage Pinecone, and this contributed significantly to our remarkable growth. At one point, we were seeing 10,000 signups per day.
The long-term outlook for vector databases
This week, there has been a significant amount of discussion on Twitter regarding a recently published research paper. The paper explores the potential of a novel architecture called the recurrent memory transformer (RMT) to enable Large Language Models (LLMs) to retain information across up to 2 million tokens. Some have suggested that RMT could reduce the reliance on vector databases, while others argue that it may not, as RMT necessitates considerably longer inference times.
Greg Kogan, Vice President of Marketing at Pinecone, shared with VentureBeat earlier this week that although the company did not offer specific comments on the mentioned paper, there exists a substantial gap between concepts that prove effective in a laboratory setting and those that can successfully address the demands of large-scale, real-world applications. Factors such as cost, performance, ease of use, and engineering requirements play a pivotal role in bridging this gap. He emphasized Pinecone’s commitment to harnessing breakthrough technologies, including chatbots, and adapting them for practical, large-scale real-world applications.
Retail technology startup Aisles introduces a waitlist ahead of their product launch
Portland-based startup Aisles has officially introduced its waitlist for a groundbreaking product that promises to revolutionize the shopping experience through the utilization of artificial intelligence. Developed by the visionary tech entrepreneur Ignacio Rosales, this AI-based technology ingeniously navigates the store layout, pinpointing the precise aisle and shelf for any item a shopper seeks. This innovation eliminates the frustrating and aimless wandering that shoppers often endure while hunting for their desired products. With the Supermarkets and Grocery Stores market in the country estimated at a staggering $818.6 billion in 2023, the potential impact of this product is vast.
The product itself will remain complimentary for users, and an impressive 245,753 individuals have already joined the waitlist. Aisles aspires to reach a million individuals before the launch of their beta product.
Ignacio Rosales, the co-founder of the company, expressed his gratitude for the overwhelming response, stating, “We have been humbled by the overwhelming response, with nearly a quarter of a million individuals already on our waitlist. Our product offers a personalized and frictionless shopping experience for those seeking efficient market visits. Our team is proud to pioneer this transformative opportunity.”
A mobile app will accompany the product, catering to both Android and Apple users. Additionally, an offline service will ensure continuous connectivity, even in areas with weak signals. Beyond enhancing the customer experience, this technology is poised to boost employee productivity by eliminating the need for staff to guide customers to specific items, resulting in cost reductions and increased profitability for companies, all while helping shoppers complete their trips more efficiently.
Aisles is committed to enhancing user convenience by introducing features such as using Aisles as the final payment method, even for cash transactions, streamlining the checkout process. Furthermore, the company plans to reimagine the shopping and couponing experience with their “last checkout” method. Through this approach, Aisles will scour the internet to secure the best deals and offers, ensuring that shoppers save money whenever possible. Importantly, the company has pledged not to profit from this service unless it directly benefits their customers.
For those eager to learn more about this innovative product, visit Aisles’ website and join the waitlist today: https://aisles.app/
About the Company: Aisles is a forward-thinking startup based in Portland, Oregon, dedicated to elevating processes within the retail sector. Spearheaded by serial tech entrepreneur Ignacio Rosales, the company is poised to transform the way people shop.
Fetch AI secures $40 million funding with a focus on Autonomous Agents and Decentralized Machine Learning.
Web3 infrastructure provider Fetch AI has secured a $40 million investment in a funding round led by technology incubator and Web3 investment firm DWF Labs. This injection of capital aims to propel intelligent agent and distributed blockchain technology forward.
Fetch AI’s ultimate objective is to address the challenges faced by consumers who navigate numerous apps to access various services, often incurring convenience fees along the way. Their mission is to eliminate intermediaries, ensure fair compensation for services, and help end-users save money.
Andrei Grachev, managing partner at DWF Labs, emphasized Fetch AI’s pioneering role in automating Web3 systems and reshaping traditional business models. He highlighted that these intelligent agents not only possess learning and predictive capabilities but also possess the capability to take tangible actions to execute meaningful real-world tasks.
Through its utilization of blockchain technology, Fetch AI facilitates value transfers and serves as a coordinating mechanism for autonomous agents to initiate transactions. The agreements forged among these agents are then securely recorded on the Fetch blockchain using FET, the platform’s native cryptocurrency. FET plays a crucial role in compensating agents for their services and covering transaction costs.
Core Fetch AI features
The company has engineered a comprehensive technological foundation comprising several pivotal elements:
In the realm of AI and machine learning, the company has pioneered CoLearn—a collective learning protocol facilitating collaborative work on machine learning (ML) models while preventing data leakage.
Furthermore, the company is actively in the process of creating the Axim platform, a managed and hosted version of CoLearn tailored for enterprise clients.
In the domain of autonomous agents, Fetch AI has introduced two pioneering frameworks: the Autonomous Economic Agent framework and the Microagent framework. These frameworks empower the development of peer-to-peer agent-based applications.
In the Web3 sphere, the company boasts its own layer-1 blockchain network, built upon the Cosmos SDK. Additionally, they provide a suite of tools, including the Fetch browser extension wallet, the Cosmpy Python library for crafting Cosmos Dapps, and the Jenesis CLI tool for initializing and testing CosmWasm contracts across various CosmWasm chains.
Furthermore, the company is embarking on the release of product demonstrators that seamlessly integrate all of these foundational components.
Bosch joins in on Fetch Foundation
This week marked the launch of Fetch AI’s latest support feature within the Fetch wallet, introducing Fetchbot, an advanced agent technology. Fetchbot is specifically engineered to empower the wallet with cutting-edge functionalities, including decentralized finance (DeFi) automation and seamless integration with the GPT-based large language model (LLM) API, facilitating the processing of natural language queries related to Fetch.
In the near future, the company is poised to unveil Agentverse, an in-browser Integrated Development Environment (IDE) designed for crafting Fetch microagent applications. Agentverse will also introduce a mailbox feature that streamlines agent message delivery and hosting, eliminating the necessity for Fetch agents to maintain a constant online presence. Additionally, the company has plans to introduce other showcases of its agent technology within the DeFi domain.
Notably, Bosch and Fetch AI have recently made a joint announcement regarding their collaboration to establish the Fetch Foundation. This foundation is set to focus on the research and development of Web3 technology for real-world applications across various sectors, including mobility, industry, and consumer-oriented domains. The governance structure of the foundation will follow a three-tier model, drawing inspiration from the decentralized innovation approach pioneered by the Linux Foundation. Bosch and Fetch AI will play pivotal roles in leading the management board of the foundation and are actively seeking further participation from industry stakeholders.
This AI startup secured $350 million for generative AI mastering all software tools and APIs.
Raising $350 million is no small feat for an AI startup in today’s competitive landscape. However, Adept AI, a company just one year old, has achieved this remarkable milestone. They have recently announced a new round of funding that highlights their vision to empower knowledge workers in optimizing their everyday software tools through the use of their generative AI.
Imagine effortlessly generating profit and loss columns in Google Sheets or setting up reminders in Salesforce with just a simple text command. Whether it’s simplifying internet browsing or streamlining tasks within complex enterprise software, Adept AI envisions a world where what used to require numerous clicks can now be accomplished swiftly through intuitive text prompts.
A new kind of foundation model
Instead of generating text like OpenAI’s ChatGPT or creating images like DALL-E, the San Francisco-based company Adept’s platform focuses on studying human interactions with computers. It specializes in developing AI models that can translate text commands into automated actions for complex software workflows. Adept’s flagship foundation model, ACT-1, excels at comprehending high-level natural language user requests within software tools and directly executing tasks on their behalf.
According to co-founder and CEO David Luan, “In recent years, we’ve witnessed the remarkable capabilities of giant foundation models for both language and images. Adept is harnessing this momentum to introduce a novel foundation model capable of executing actions within any software tool using natural language.” This statement was made in a press release.
Competing in the generative AI space
In the fiercely competitive landscape of generative AI startups, distinguishing oneself is paramount, especially when targeting knowledge workers.
Just this week, both Google and Microsoft have engaged in a head-to-head battle of generative AI announcements. Google unveiled its PaLM API and showcased enhancements to Google Workspace, while Microsoft has been rumored to unveil GPT-4 during the upcoming ‘Future of Work with AI’ event this Thursday. These developments serve as unmistakable indicators of Big Tech’s ongoing consolidation of power in the AI realm.
The success of Adept AI’s offerings in the long term remains uncertain, but investors like Workday Ventures are placing substantial bets on their potential.
Michael Magaro, Senior Vice President of Corporate Growth at Workday Ventures, commented on this partnership, stating, “Workday’s vision of harnessing AI and ML to enhance human capabilities and infuse greater intelligence into finance and HR aligns seamlessly with Adept’s mission to empower knowledge workers responsibly.”