Kimi Smart Assistant, a subsidiary of Beijing Yue's Dark Side Technology Co., Ltd., recently announced that its Kimi API now supports online search functionality. This marks a significant enhancement in the interactive experience, allowing users to retrieve information from the Internet via the API. This update to the Kimi API enables developers to leverage this feature, allowing applications to 'surf the web' by automatically performing online searches and providing answers when encountering questions during conversations.

Artificial Intelligence (AI) is increasingly integrated into our lives and work, providing convenience while also posing risks. Gartner analyst Mesaglio points out that companies may encounter cost discrepancies of up to 500% to 1000% when applying AI, primarily due to rising vendor prices and companies' neglect of cloud resource usage. While AI processes unstructured data to obtain more information, the costs are high. Additionally, AI applications may lead to 'productivity leakage', where employees may use saved time for leisure rather than work.

At the 2024 Tencent Global Digital Ecosystem Conference, Tencent's Vice President and Head of Cloud Business, Qiu Yuepeng, announced the official launch of the Tencent Hunyuan Turbo large model. This new generation of large models is designed based on the MoE (Mixture of Experts) architecture, achieving a doubling in inference efficiency with a 100% improvement compared to the previous generation, while significantly reducing inference costs by 50%. Additionally, Hunyuan Turbo also demonstrates outstanding performance in decoding efficiency, improving by 2.

Not Diamond is an innovative AI model router designed to automatically determine the most suitable LLM for responding to specific queries. By combining multiple LLMs into a meta-model and learning when to invoke each model, Not Diamond significantly improves processing efficiency while ensuring high-quality responses. This automated intelligent routing mechanism reduces the time needed for manual model selection, ensuring optimized responses for every query. Key features of Not Diamond include multi-model support, high

Cerebras Systems has launched Cerebras Inference, claiming it to be the fastest AI inference service in the world, achieving performance that surpasses traditional GPU-based systems by 20 times with significantly improved cost-effectiveness, particularly suitable for processing large language models (LLMs). Its 8B version processes 1800 tokens per second, while the 70B version processes 450 tokens, with speed and cost-performance far exceeding NVIDIA GPU solutions.

Recogni has introduced a revolutionary AI computing method called 'Pareto,' which employs an innovative logarithmic approach that enables AI chips to outperform existing technologies while significantly reducing energy consumption and operational costs when running large models. This technology is backed by prominent companies and venture capital firms such as BMW, Bosch, and Mayfield. Compared to traditional AI models like OpenAI's GPT-4 and Google's Gemini, the Pareto system significantly lowers energy consumption by converting multiplication into addition operations.

The Raspberry Pi 5 2GB version showcases exceptional cost performance and capabilities at a budget-friendly price of $50, making it a star product in the tech industry. This device inherits the high-performance tradition of the Raspberry Pi family by utilizing the cost-optimized BCM2712D0 application processor, successfully reducing the price to $50, which is $10 cheaper than the 4GB version. The BCM2712D0 processor eliminates unnecessary features while retaining the core quad-core processing and multimedia capabilities, effectively lowering production costs.

The latest survey from the Game Developer Collective reveals the complex attitudes of game developers towards the application of generative AI. 30% of respondents expect AI to reduce development costs in the coming year, while 8% anticipate an increase in costs. Regarding quality, 17% of developers believe AI will enhance game quality, whereas 35% express concern over declining quality. Generative AI has sparked controversy in the gaming industry, with opponents arguing that it may cause greater environmental harm and lead to a decrease in product quality. In terms of application, 49% of developers have adopted it.

Runway ML has launched the AI video generation model Gen-3 Alpha Turbo, which offers a 7-fold increase in speed and a 50% reduction in costs compared to its predecessor, making AI video production more accessible. Turbo is suitable for all plans, including free trials, allowing users to enjoy an efficient video generation experience without incurring additional costs. The generation speed of Gen-3 Alpha Turbo is so fast that it surpasses typing speed, effectively addressing the time lag issue of AI video generation models. In terms of pricing, video costs only $5 per second.

In August, DingTalk Organization Brain launched a series of new features, including agile organization diagnosis, meeting cost analysis, and process efficiency monitoring, aimed at helping business managers gain a comprehensive understanding and optimization of organizational structure and operational efficiency.

Anthropic has announced the launch of a new 'Prompt Caching' feature in its Claude series of large language models, aimed at significantly reducing AI costs for enterprises and enhancing performance. This feature allows users to store and reuse specific context information without incurring additional costs or delays. In public testing, the Claude 3.5 Sonnet and Claude 3 Haiku models will implement this feature, expected to achieve up to 90% cost reduction and double the response speed in certain scenarios. This feature is particularly suited for use cases that require...

The Anthropic API introduces a new prompt caching feature aimed at optimizing the user experience with the Claude model. This feature allows users to cache frequently used contextual information between API calls, significantly reducing the costs and latency of long prompts by up to 90% and 85%, respectively. Currently, it supports the public beta versions of Claude 3.5 Sonnet and Claude 3 Haiku, with plans to expand to Claude 3 Opus in the future. It is suitable for use cases such as conversational agents, coding assistants, handling large documents, and agent searches.

The Kimi Open Platform under Dark Side of the Moon has announced a 50% reduction in context cache storage costs. Specifically, the cache storage cost has been reduced from 10 yuan/1M tokens/min to 5 yuan/1M tokens/min.

Google's star AI model Gemini has launched a significant pricing strategy that dramatically reduces the cost of API usage, cutting costs by nearly 50% compared to its major competitor GPT-4o mini. The input costs for the Gemini 1.5 Flash model have dropped by about 85%, and output costs by about 80%, making it one of the lowest-cost AI services on the market. This price reduction not only lowers the entry barrier but also supports over 100 languages, introduces context caching, and batch processing API optimization services.

Intel announced layoffs of 15,000 employees to cut costs and improve profitability. As part of its 2025 plan, the company expects significant reductions in R&D and marketing spending by 2026, with a 20% decrease in capital expenditures this year. The layoffs, representing 15% of its workforce, led to a nearly 20% drop in stock prices. CEO Pat Gelsinger acknowledged poor financial performance in Q2, with a $1.6 billion loss and only 1% revenue gro....

Zyphra has launched the Zamba2-2.7B language model, which is a milestone in the small language model domain. Its performance and efficiency have significantly improved, with a training dataset size of around 30 trillion tokens, reducing resource requirements during inference and making it an efficient solution for mobile applications. Key highlights include a twofold increase in response generation speed, a 27% reduction in memory usage, and a 1.29 times decrease in generation latency, particularly suited for applications requiring real-time interaction, such as virtual assistants and chatbots.

OpenAI is facing a loss of up to $5 billion this year, primarily due to the high costs associated with running ChatGPT and other AI products. Major expenditures include nearly $4 billion for renting Microsoft servers and $3 billion for training and updating AI models. Labor costs account for $1.5 billion, reflecting the company's significant salary increases to attract and retain talent. In the face of massive losses and fierce competition, the profitability prospects for OpenAI are under scrutiny, especially as competitors offer similar technology for free.

Recently, a research team from Microsoft Research and Beihang University has jointly introduced a novel framework called E5-V, aimed at providing a more efficient solution for multi-modal embeddings. With the continuous advancement of artificial intelligence, multi-modal large language models (MLLMs) have become a focal point of research, as they are capable of understanding both textual and visual information simultaneously, thereby better handling complex data relationships. However, effective

OpenAI announced today that its new flagship model, GPT-4o mini, has been launched on Azure AI, supporting text processing capabilities, with plans to introduce image, audio, and video functionalities in the future.GPT-4o mini is significantly smarter than GPT-3.5Turbo—scoring 82% on the Massive Multitask Language Understanding (MMLU) benchmark compared to GPT-3.5Turbo's 70%—and is over 60% cheaper. This model offers an expanded 128K context window and integrates the enhanced multilingual capa