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- 🤖 OpenAI adds agentic AI tasks to ChatGPT
🤖 OpenAI adds agentic AI tasks to ChatGPT
Also: Biden opens federal land for AI development
Welcome, AI enthusiasts
OpenAI has introduced a new "tasks" feature to ChatGPT, making it easier than ever to set reminders and handle recurring requests. Meanwhile, the U.S. is paving the way for massive private AI data centers on federal land, a move that promises to power innovation and drive economic growth. Lastly, MiniMax unveils its own open source LLM with industry-leading 4M token context. Let’s dive in!
In today’s insights:
OpenAI adds agentic AI tasks to ChatGPT
Biden orders federal land to be leased for AI data center development
MiniMax unveils its own open source LLM with industry-leading 4M token context
Read time: 4 minutes
🗞️ LATEST DEVELOPMENTS
Today we’re rolling out a beta version of tasks—a new way to ask ChatGPT to do things for you at a future time.
Whether it's one-time reminders or recurring actions, tell ChatGPT what you need and when, and it will automatically take care of it.
— OpenAI (@OpenAI)
8:40 PM • Jan 14, 2025
Evolving AI: ChatGPT adds a tasks feature for reminders and recurring requests, enhancing user functionality.
Key Points:
OpenAI introduces tasks, allowing ChatGPT to schedule reminders and recurring requests.
Tasks beta is rolling out to ChatGPT Plus, Team, and Pro users worldwide.
ChatGPT can browse the web on a schedule but can't run continuous searches or make purchases.
Details:
OpenAI has launched a new tasks feature in ChatGPT, enabling users to set reminders and schedule recurring actions. Currently available to ChatGPT Plus, Team, and Pro users, tasks allow commands like “Remind me when my passport expires in six months” or “Give me a daily news briefing at 7 a.m.” Users can also manage tasks through a dedicated web app tab. While tasks enable browsing for scheduled updates, like monthly concert ticket checks, they stop short of performing continuous background searches or purchases. This beta phase aims to refine the feature before wider availability.
Why It Matters:
This is a small first step into the new era of AI where systems can act more independently. Even though it’s basic for now, it shows how AI could handle bigger and more complex tasks in the future — something OpenAI is likely to build on. For users it means AI that’s more helpful and takes action on its own.
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Evolving AI: Federal lands will host gigawatt-scale private AI data centers, spurring growth and innovation.
Key Points:
President Biden’s order permits AI data centers on federal land, leveraging clean energy.
Companies must cover all costs and meet environmental and labor standards.
The plan focuses on national security, economic growth, and reduced reliance on foreign AI tools.
Details:
A new executive order allows private companies to build AI-focused data centers on federal property, integrating economic, technological, and environmental goals. The initiative enables Department of Defense and Department of Energy lands to host facilities powered by new renewable energy. Companies must bear all costs, ensuring no impact on consumer power bills, and comply to labor and environmental standards. This effort ties to the recent licensing system for AI chip exports, emphasizing secure domestic development and strategic international collaboration. The administration is prioritizing rapid approvals and infrastructure development to accelerate the plan.
Why It Matters:
This plan makes the U.S. a leader in building AI systems safely at home. It uses clean energy and funds itself, so it’s better for the environment and doesn’t cost consumers extra.
Evolving AI: Federal lands will host gigawatt-scale private AI data centers, spurring growth and innovation.
Key Points:
MiniMax’s new LLM handles up to 4 million tokens, doubling Google's Gemini 1.5 Pro.
The Lightning Attention mechanism improves efficiency and scalability.
Open-source models are available with competitive pricing and advanced performance.
Details:
MiniMax’s MiniMax-01 series is a big step forward in AI technology. It can process a huge amount of information at once — as much as a small library. This makes it great for tasks like analyzing big reports or helping AI systems remember more. The series has two models: one for text and another that works with both text and images. These models use a new technology called Lightning Attention, which makes them quicker and more efficient. You can try them out on platforms like Hugging Face or through MiniMax’s API, and they cost much less than similar AI tools from other companies.
Why It Matters:
The ability to process such large amounts of data in one go unlocks new possibilities for AI systems. This could mean more accurate analyses, better tools for businesses, and smarter AI assistants that retain more context.
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