Read Online | Sign Up | Advertise | | | Good morning, AI enthusiasts. OpenAI's AI agent era just got its unofficial start — with ChatGPT gaining the ability to schedule and manage daily tasks. | With 'Tasks' rolling out and mysterious 'Operator' whispers in the air, is OpenAI finally ready to move from chatbots to full-on autonomous assistants? | | In today's AI rundown: | OpenAI launches ChatGPT 'Tasks' MiniMax releases open-source, ultra-long-context LLMs Turn your long-form content into bite-sized clips Microsoft upgrades AutoGen with new multi-agent system 4 new AI tools & 4 job opportunities
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| | | | OPENAI | | | Image source: OpenAI |
| The Rundown: OpenAI is rolling out Tasks, a new ChatGPT beta feature that allows users to schedule reminders and recurring actions, marking the company's first step into agentic AI capabilities. | The details: | Users can schedule one-time reminders or recurring actions, such as daily weather updates, news briefings, or periodic web searches. Tasks can be managed through chat or a dedicated web interface, with notifications available across desktop, mobile, and web platforms. ChatGPT can suggest relevant tasks based on conversation history, though users must explicitly approve any suggestions. Tasks will launch for Plus, Team, and Pro users in the coming days, with up to 10 active tasks at a time through a "4o with scheduled tasks" model option.
| Why it matters: While reminders aren't groundbreaking, Tasks lays the groundwork for incorporating agentic abilities into ChatGPT, which will likely gain value once integrated with other features like tool or computer use. With 'Operator' also rumored to be coming this month, all signs are pointing towards 2025 being the year of the AI agent. |
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| | MINIMAX | | | Image source: Minimax |
| The Rundown: Chinese AI lab Minimax just launched two new open-source AI models that leverage a new 'Lightning Attention' approach that allows for massive context windows of 4M tokens while maintaining speed and performance. | The details: | The release includes a 456B parameter base language model (MiniMax-Text-01) and a multimodal model (MiniMax-VL-01). Both models can process sequences up to 4M tokens, dramatically exceeding current industry standards of 128K-256K tokens. The models perform comparable to top models on academic benchmarks, outperforming all open-source models on long-context tasks. The company also offers API access at notably low rates, with input tokens at $0.2/million and output tokens at $1.1/million.
| Why it matters: As AI development shifts toward autonomous agents with extensive memory and context processing needs, MiniMax's ultra-long context could be revolutionary. Open-sourcing these models, combined with competitive API pricing, could kickstart an aggressive innovation push in the AI agent ecosystem. |
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| | AI TRAINING | | | The Rundown: HeyGen's Instant Highlights feature transforms long videos into engaging highlight reels and shareable clips. | Step-by-step: | Access the Labs section from HeyGen and find Instant Highlights. Add your video through URL or direct upload (supports up to 10GB). Customize the highlight settings by selecting your preferred clip duration, aspect ratio, and if you want captions. Download or share your favorite clips directly.
| Pro tip: Use the "Share highlight list" feature to collaborate with your team on selecting the best clips. |
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| | MICROSOFT | | | Image source: Microsoft |
| The Rundown: Microsoft just released AutoGen v0.4, the latest update to its open-source agentic framework — alongside the introduction of Magnetic-One, a new orchestration system that coordinates multiple AI agent specialists to handle complex tasks. | The details: | Magnetic-One introduces four agents: WebSurfer for web navigation, FileSurfer for local file management, and Coder and ComputerTerminal for coding. V0.4's event-driven messaging system enables async communication between agents, allowing for more flexible, customizable, and complex workflows. The release also includes AutoGen Studio for low-code development, AutoGen Bench for performance testing, and upgraded monitoring tools. The system also remains LLM-agnostic, working with different language models while defaulting to GPT-4o integration.
| Why it matters: While the world has just started dipping its toes into the AI agent boom, the next steps are already being taken to enable multi-agent systems that open the door to tackling complex applications and tasks. Our own personal agentic teams are right around the corner — and human workflows will never be the same again. |
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| | | | | President Joe Biden signed a new executive order allowing AI companies to build data centers on DoD and Energy sites to strengthen domestic AI infrastructure development. | Amazon is reportedly working to transform its Alexa assistant into an AI-powered agent, but it has faced issues like hallucinations and slow response speeds that, if launched, risk damaging the company's brand and reputation. | The Mayo Clinic partnered with Microsoft and Cerebras to develop AI foundational models for medical image and genomic data analysis, hoping to revolutionize personalized medicine with faster diagnostics and precise treatment predictions. | OpenAI added GIP chairman and Blackrock executive Adebayo Ogunlesi to the company's Board of Directors, bringing experience in infrastructure investment and global finance expertise. | French AI startup Bioptimus secured $41M in funding to develop a "GPT for biology" foundation model to simulate biological systems and predict disease outcomes. | Microsoft announced a new multiyear partnership with education giant Pearson to transform AI learning and workforce development, with plans to deliver AI-powered skilling solutions and certifications globally. |
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| | | | | | Join our next workshop today at 2 PM EST to learn how to create custom styles with Sofia Lopez Martin, Freepik's expert host. | RSVP here. Not a member yet? Join The Rundown University on a 14-day free trial. |
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| | That's it for today!Before you go we'd love to know what you thought of today's newsletter to help us improve The Rundown experience for you. | | See you soon, | Rowan, Joey, Zach, Alvaro, and Jason—The Rundown's editorial team |
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