Main topic: Anthropic, an AI startup co-founded by former OpenAI leaders, receives $100 million in funding from SK Telecom (SKT), a major mobile carrier in South Korea.
Key points:
1. SKT is investing $100 million in Anthropic, joining the company's previous investors in its Series C funding round.
2. Anthropic and SKT plan to co-develop a multilingual large language model (LLM) customized for global telco firms.
3. SKT aims to provide AI services to potential customers using the LLM, including industry-specific customer service, marketing, sales, and interactive consumer applications.
Main topic: SK Telecom and Anthropic to collaborate on building a large language model (LLM) for telcos.
Key points:
1. SKT and Anthropic will work together to create a multilingual LLM that supports various languages.
2. SKT will provide telecoms expertise while Anthropic will contribute its AI technology, including its AI model Claude.
3. The goal is to develop industry-specific LLMs to enhance AI deployments in telcos, improving performance and reliability.
The struggle between open-source and proprietary artificial intelligence (AI) systems is intensifying as large language models (LLMs) become a battleground for tech giants like Microsoft and Google, who are defending their proprietary technology against open-source alternatives like ChatGPT from OpenAI; while open-source AI advocates believe it will democratize access to AI tools, analysts express concern that commoditization of LLMs could erode the competitive advantage of proprietary models and impact the return on investment for companies like Microsoft.
Enterprises need to find a way to leverage the power of generative AI without risking the security, privacy, and governance of their sensitive data, and one solution is to bring the large language models (LLMs) to their data within their existing security perimeter, allowing for customization and interaction while maintaining control over their proprietary information.
Context.ai, a company that helps businesses understand how well large language models (LLMs) are performing, has raised $3.5 million in seed funding to develop its service that measures user interactions with LLMs.
Ant Group has revealed its new sub-brand, ZAN, which will focus on blockchain development and services for Web3 developers, helping the parent company move forward with its IPO plans.
Artificial intelligence (AI) revolution is just beginning, and investing in companies like Taiwan Semiconductor Manufacturing (TSM) and Roblox could lead to significant long-term gains. TSM dominates the market for contract semiconductor manufacturing and offers reliable and timely delivery of high-performance chips, while Roblox is capitalizing on AI tools to enhance content creation and drive user engagement.
Large language models (LLMs) are set to bring fundamental change to companies at a faster pace than expected, with artificial intelligence (AI) reshaping industries and markets, potentially leading to job losses and the spread of fake news, as warned by industry leaders such as Salesforce CEO Marc Benioff and News Corp. CEO Robert Thomson.
Intel's AI chips designed for Chinese clients are experiencing high demand as Chinese companies rush to improve their capabilities in ChatGPT-like technology, leading to increased orders from Intel's supplier TSMC and prompting Intel to place more orders; the demand for AI chips in China has surged due to the race by Chinese tech firms to build their own large language models (LLMs), but US export curbs have restricted China's access to advanced chips, creating a black market for smuggled chips.
Startup NucleusAI has unveiled a 22-billion-parameter language model (LLM) that surpasses similar models in performance, demonstrating the expertise of its four-person team; the company plans to leverage AI to create an intelligent operating system for farming, with details to be announced in October.
