AI

This article reviews the highlights and key insights from the Bitkraft 2024 Summit, focusing on topics such as the integration of AI and gaming, misconceptions surrounding game IPs, and differences between the Eastern and Western gaming markets. It points out that the current value of AI in game asset generation and PvP applications is still limited, and that successful games are often built on original IPs rather than relying on existing ones.

This article explores the impact of current AI developments on the digital world and introduces the concept of deep authenticity. It suggests leveraging the characteristics of blockchain technology to address issues of falsification, thereby meeting humanity's need for authentic information.

This paper explores the potential and practices of the convergence of AI and Web3 technologies, showing how the decentralized internet paradigm can provide new impetus for the development of AI and in turn empower the Web3 ecosystem. The article covers data-driven foundations, privacy protection, the computing power revolution, DePIN, IMO, and AI Agent, and discusses their role and development prospects in Web3.

AI Arena is a PVP fighting game that incorporates artificial intelligence, allowing players to evolve game characters through AI learning. The game has two modes: Research Competition and Gaming Competition. In the Research Competition, researchers train AI models to battle, while in the Gaming Competition, players develop training strategies to enhance the performance of their NFT characters. AI Arena is not only a game but also an AI model training platform, aiming to allow more users to experience AI. The game's native token $N is used to incentivize players and researchers and as the foundation of the in-game economy. AI Arena is developed by ArenaX Labs, a company that has completed a seed round of funding and launched two AI platforms: ARC and SAI, aiming to change the gaming industry through AI. The token $N is planned for TGE in May, with an airdrop event.

Aethir offers a groundbreaking yet highly feasible solution to tackle this complex global issue. Our network aggregates and intelligently reallocates new and idle GPUs from enterprises, data centers, cryptocurrency mining operations, and consumers.

Groq LPU (Language Processing Unit) is a specialized computing processor designed by Groq for AI inference, with a focus on optimizing computation scheduling, data access, and response latency when running large language models.

Groq is a technology company focused on artificial intelligence inference computing. Its core technology centers on the Language Processing Unit (LPU), which improves processing speed and response efficiency when large language models generate content through specialized chip architecture, compiler optimization, and high-performance computing systems. Unlike GPUs, which are primarily designed for general-purpose parallel computing, Groq's technology focuses more on data transfer, execution scheduling, and low-latency requirements in the AI inference process, seeking to provide more targeted computing infrastructure for real-time AI applications.

AI capital expenditure (AI CapEx) refers to the long-term capital investments companies make to build and expand artificial intelligence infrastructure, including GPU servers, data centers, network equipment, power facilities, and related hardware.

What are Data Center REITs? Explore how AI computing demand drives data center real estate, rental income, FFO, AFFO, valuations, and investment risks.

An AI Agent is an artificial intelligence system that can plan tasks around specific goals, call external tools, and perform multistep operations. Unlike traditional chatbots, which primarily answer questions, AI Agents can connect to code repositories, databases, cloud services, enterprise collaboration platforms, and automation systems, moving beyond information processing into actual business execution. This capability improves work efficiency and is also making AI systems an increasingly integral part of enterprise access control frameworks.

CoWoS (Chip-on-Wafer-on-Substrate) is an advanced packaging technology developed by Taiwan Semiconductor Manufacturing Company (TSMC). It is primarily used to integrate high-performance logic chips, high-bandwidth memory, and other computing components into a single package. As AI models continue to demand greater computing performance, memory capacity, and data transfer speeds, the performance of AI chips is no longer determined solely by the number of GPU transistors or the manufacturing process. Efficient data exchange between computing chips and memory is becoming an increasingly important factor affecting the performance and manufacturing capabilities of AI accelerators.

AMD and NVIDIA are major global chip suppliers in the AI computing infrastructure sector. The two companies compete across data center GPUs, AI computing platforms, and software ecosystems. As generative AI gradually moves from model development into commercial applications, the market’s focus is shifting. In the past, training large AI models required substantial quantities of high-performance GPUs, driving data centers to continually increase their investments in computing capacity. Today, as the use of AI search, intelligent assistants, programming tools, and AI agents expands, completing inference for massive numbers of models at a lower cost is becoming the new focus of competition.

x402B is an x402 payment extension developed by Boson Protocol. It is designed to introduce non-custodial escrow into automated payment workflows for AI Agents. As AI Agents move beyond information retrieval and task execution into scenarios such as API procurement, digital service subscriptions, content generation, and commercial transactions, automatic payment is no longer the only challenge that needs to be addressed. For transactions that cannot be completed immediately, ensuring that funds do not go directly to the seller's account before the service has been delivered is becoming a critical infrastructure requirement for Agent Commerce.

Unitree Robotics, also known as Unitree, is a robotics company focused on developing quadruped robots, humanoid robots, robotic components, and embodied AI technologies. Its product portfolio includes the Go2 robot dog, G1 humanoid robot, and H1 full-size humanoid robot. By combining mechanical engineering, motion control, perception systems, and AI, the company is working to expand the practical applications of intelligent robots.

Explore how the Model Context Protocol connects AI models with external tools and data, covering its architecture, core capabilities, security boundaries, and role in the evolution of AI agents.