RWKV: Small Team Aims to Be Android of AI Era with Big Model

Meta Intelligence OS is a startup founded by Bloomberg. It has developed a series of large models based on the open-source model RWKV and aims to become the Android in the era of large models. The RWKV model has superior performance and low cost in inference tasks, thus attracting customers from industries such as finance, law firms, and smart hardware. The business model of Meta Intelligence OS is model customization based on private data and internal AI Agent development. The company hopes to solve the problems of API call latency and data security by deploying large models on terminal devices. Currently, RWKV versions are available on Windows, Mac, and Linux computers, and Android and iOS versions are also in development. Meta Intelligence OS is raising funds and collaborating with chip companies and computing power platforms to create benchmark customers. Luo Xuan said that the decisive battlefield for large models is on hardware, and both terminal devices and the cloud require dedicated chips.

IBM Releases Updated Granite 3.1 Open Source Language Model with Significant Performance Improvements

Recently, IBM announced the launch of version 3.1 of its open source language model Granite, which brings many important enhancements. The new version of the model has been redesigned with a denser architecture, capable of handling up to 128,000 tokens at once. This update signifies a substantial improvement in Granite's ability to process complex text and tasks. The Granite 3.1 model has been trained on datasets in 12 languages and 116 programming languages, processing a total of 12 trillion tokens.

New Breakthrough in Image Super-Resolution! InvSR Tool Transforms Blurry Photos to HD with One Click

Are you still troubled by unclear photos? A brand new image super-resolution tool called InvSR has emerged, allowing images to be instantly transformed into clear and sharp ones with minimal processing steps. The strength of this tool lies in its utilization of the rich prior knowledge embedded in large pre-trained diffusion models, achieving efficient and high-quality image resolution enhancement. The core technology of InvSR is its innovative partial noise prediction strategy. It cleverly constructs the intermediate state of the diffusion model as the starting point for the sampling process and employs a deep noise.

Accelerating Commercialization in the AI Race: OpenAI's Transformation Dilemma and Path to Breakthrough

An unexpected personnel change brought OpenAI's Chief Product Officer Kevin Weil to the stage of the Marriott Hotel in San Francisco. This Silicon Valley product master, who previously achieved commercial miracles at Twitter and Instagram, now bears the responsibility of OpenAI's commercialization transformation. Just days earlier, the sudden departure of the company's CTO Mira Murati once again placed OpenAI in the spotlight. This executive reshuffle is not a coincidence. Over the past year, OpenAI has faced wave after wave of challenges.

Shanji AI Camera Glasses Announce Pre-Sale Sold Out: 999 Yuan, 50,000 Units Snapped Up in One Day

Last Thursday, domestic tech company Shanji launched its first AI camera glasses, marking an important milestone in the domestic AI eyewear field. The glasses are priced at 1499 Yuan, while the first batch of 50,000 co-creation units was sold at a discounted price of 999 Yuan, reportedly even lower than similar products from Xiaomi. Additionally, Shanji introduced a special promotion where users can receive a full refund if they check in 200 days within 300 days (not necessarily consecutively), which undoubtedly increases the product's appeal.

Tsinghua University Collaborates with Tencent to Present ColorFlow: Automatically Coloring Black and White Comics While Maintaining Character Consistency

With the development of digital art, automated image processing technology has received increasing attention. Recently, a research team from Tsinghua University and Tencent's ARC Lab proposed a novel image sequence coloring model called ColorFlow. This model aims to address the challenge of maintaining consistency in character and object identity while coloring black and white image sequences, fulfilling the practical needs of industries such as comics and animation. ColorFlow is a three-stage diffusion base framework that leverages contextual information by utilizing a reference image pool for black and white.