Huawei aims to mass-produce newest AI chip in early 2025, despite US curbs

In partnership with

Pivot 5: 5 stories. 5 minutes a day. 5 days a week.

Writer RAG tool: build production-ready RAG apps in minutes

RAG in just a few lines of code? We’ve launched a predefined RAG tool on our developer platform, making it easy to bring your data into a Knowledge Graph and interact with it with AI. With a single API call, writer LLMs will intelligently call the RAG tool to chat with your data.

Integrated into Writer’s full-stack platform, it eliminates the need for complex vendor RAG setups, making it quick to build scalable, highly accurate AI workflows just by passing a graph ID of your data as a parameter to your RAG tool.

Learn more about our production ready RAG tooling here.

1. Huawei aims to mass-produce newest AI chip in early 2025, despite US curbs

Huawei plans to begin mass-producing its most advanced artificial intelligence chip in Q1 2025, despite facing US restrictions. The company has sent samples of its Ascend 910C chip to some technology firms and started taking orders.

The 910C is being made by top Chinese contract chipmaker Semiconductor Manufacturing International Corp (SMIC), but a lack of advanced lithography equipment has limited its yield to around 20%. Advanced chips need yields of more than 70% to be commercially viable. The US has imposed curbs on Chinese companies, arguing their technological progress poses a national security risk.

Read the full story here

2. Claude Pro subscribers can now interact with Google Docs documents directly within the app

3. New FLUX.1 Tools

FLUX.1 Tools is a suite of models designed to enhance control and steerability in the FLUX.1 text-to-image model. It includes four features: FLUX.1 Fill, which offers advanced inpainting and outpainting capabilities, FLUX.1 Depth, which provides structural guidance based on depth maps, FLUX.1 Canny, which uses canny edges, and FLUX.1 Redux, an adapter for mixing and recreating input images and text prompts.

The tools are available as open-access models in the BFL API.

Read the full story here

4. How Did You Do On The AI Art Turing Test?

A recent challenge to 11,000 people involved identifying fifty pictures as human art or AI-generated images. The test, which included paintings by Domenichino, Gauguin, Basquiat, and others, revealed that most people had a hard time identifying AI art. The median score was 60%, with a mean of 60.6%.

The test was designed to be fair, excluding submissions with garbled text, misshapen hands, or other deformities. The test also excluded AI art in the DALL-E "house style" and warned test-takers that it included both human and AI art.

Read the full story here

5. Snowflake beats Databricks to integrating Claude 3.5 directly

Snowflake has partnered with AI vendor Anthropic to advance AI projects for its customers. The data ecosystem giant has signed a multi-year strategic agreement to bring Anthropic's Claude 3.5 family of models to its core platform on AWS.

This will allow enterprises using Snowflake to leverage the cutting-edge Claude LLMs for building advanced AI applications, including conversational agents. The partnership will also power Snowflake's customer-facing agentic offerings and help employees accelerate their internal workflows. Snowflake's partnership is similar to Databricks, which offers a range of open-source and proprietary models.

Read the full story here