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The New York Times Greenlights AI Tools For Editorial And Product Teams

In a significant move, The New York Times is giving its editorial and product teams the green light to use AI tools to enhance their workflow. According to a report by Semafor, the paper has introduced a new internal AI summary tool called Echo, alongside a suite of approved AI products to assist with tasks ranging from coding to editorial brainstorming.

What’s New At The Times?

In a recent internal email, The New York Times informed its staff about the debut of Echo, designed to generate concise AI summaries. The email also outlined several AI tools that staff can use for various functions, including the creation of web products and the development of editorial content. Notably, these AI tools are intended to help staff suggest edits, develop interview questions, and assist with research.

Editorial Guidelines For AI Use

The guidelines, however, come with clear boundaries. Staff are encouraged to use AI for tasks like suggesting edits and brainstorming, but not for drafting or making substantial revisions to articles. Additionally, confidential source information is strictly off-limits for AI input. There are also indications that The Times may leverage AI for voice-enabled articles and translations into multiple languages.

Approved AI Tools

The Times has approved several AI products for use, including GitHub Copilot for programming, Google’s Vertex AI for product development, NotebookLM, and selected Amazon AI tools. OpenAI’s API, excluding ChatGPT, is also on the approved list for business accounts.

A Contradictory Situation

This AI rollout comes amidst an ongoing lawsuit that The Times has filed against OpenAI and Microsoft. The lawsuit accuses the tech giants of violating copyright law by allegedly using the publisher’s content to train their generative AI models.

The New York Times’ cautious but forward-thinking approach reflects both its desire to embrace the power of AI while navigating the complex legal and ethical implications of generative technologies.

Apple Ties Its Mac Strategy To The AI Boom With New Mac Mini And Mac Studio Models

Apple has updated its Mac Mini and Mac Studio desktops with new processors and higher AI performance as developers increasingly use Macs for local AI workloads. The new models are scheduled to ship on Sept. 22, weeks before the company is expected to introduce its next iPhone generation.

Macs Target Local AI Development

Developers and researchers are increasingly using Apple computers to run AI models locally, reducing reliance on cloud infrastructure. Mac Mini systems can support AI agent software, while Mac Studio machines are designed for more demanding model training and deployment workloads.

Apple said its processors combine Neural Engines for machine learning with unified memory architecture designed to reduce performance bottlenecks. The company says the combination allows users to run and fine-tune larger AI models directly on their devices.

Mac Mini Gets First M6 Generation Chip

The updated Mac Mini can be configured with Apple’s M6 and M5 Pro processors, making it the company’s first computer with an M6-generation chip. The M6 is manufactured by Taiwan Semiconductor Manufacturing Co. (TSMC) using a 2-nanometer process.

The previous Mac Mini lineup offered M4, M4 Pro and M4 Max processors. Apple said the M5 Pro version of the new model can process large language model prompts 8.5 times faster than earlier Mac Mini Pro configurations.

Pricing has also increased. The new Mac Mini starts at $899, $100 more than the previous model, after Apple raised the price from $599 earlier this summer, citing higher memory costs.

Mac Studio Targets Larger AI Workloads

Mac Studio remains Apple’s highest-performance desktop without an integrated display, following the discontinuation of the Mac Pro earlier this year. New configurations include the M5 Max, which Apple says can run large language models nearly four times faster than the previous generation.

The M5 Ultra is available for users with heavier computing requirements. Apple says multiple Mac Studio systems using the Ultra chip can be connected to pool memory and run models with up to a trillion parameters.

Mac Studio with the M5 Max starts at $2,499, unchanged from the previous generation. The M5 Ultra configuration starts at $5,499, compared with at least $5,299 for the previous model using the M3 Ultra.

Apple Expands Its Local AI Hardware

The new desktops give developers and researchers more computing capacity for running AI models locally. Apple is also increasing the role of its custom processors and unified memory architecture in handling AI workloads without relying entirely on cloud-based computing.

Both Mac Mini and Mac Studio models are available for presale and are scheduled to begin shipping on Sept. 22.

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