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OpenAI is making a shocking return to open-weight AI, but is it a real shift or just pressure from rivals? Meanwhile, Amazonâs Nova Act is redefining web automation, Runwayâs Gen-4 takes AI video to the next level, and brain-computer interfaces are turning thoughts into speech.
In todayâs Generative AI Newsletter:
OpenAIâs Open Model: OpenAI plans to release its first open-weight model since GPT-2âbut how âopenâ will it really be?
Amazonâs Nova Act: A next-gen AI agent automating complex web tasks with 90%+ accuracy.
Runwayâs Gen-4: AI-generated video reaches new heights of realism and control.
AI-Powered Speech: A breakthrough brain implant turns thoughts into near-instant speech.
đ Amazonâs Nova Act: AI Agent Automating the Web

Image Credit: Amazon
Amazon's AGI Labs has unveiled Nova Act, an advanced AI model designed to automate tasks directly in web browsers. This technology, along with its developer SDK, allows developers to create agents that can autonomously perform complex, multi-step tasks in real-time, without constant human supervision. With this, Amazon aims to revolutionize the way AI interacts with the web.
What Nova Act Brings:
Developed by Amazonâs AGI Labs, led by David Luan and Pieter Abbeel (former OpenAI researchers), Nova Act delivers industry-leading reliability.
It surpasses models like OpenAIâs Computer Use Agent and Claude 3.7 Sonnet in performing web-based tasks with over 90% accuracy, especially when handling complex interactions like date pickers, dropdowns, and pop-ups.
Through the Nova Act SDK, developers can create AI agents capable of filling forms, navigating websites, managing calendars, and more. This opens up endless possibilities for automating repetitive or complex tasks online.
Nova Act will power Amazonâs Alexa+, bringing autonomous browsing and task automation to millions of existing Alexa users. This integration could change the way users interact with Alexa, transforming it into a more proactive, task-oriented assistant.
Nova Act is designed for both individual users and businesses. Developers can customize it with Python code, allowing for parallel task execution and deeper browser manipulation using tools like Playwright.
While Nova Act is still in its early stages, it sets a clear path for the future of AI-powered automation. If successful, it could be a key differentiator for Amazon, turning Alexa from a passive assistant into a proactive taskmaster.
đ˘ OpenAIâs Plans To Release New Open Model

Image Source: OpenAI/@bitbor91
OpenAI has announced plans to launch an open-weight language model âin the coming months,â marking its first open release since GPT-2. The company is now seeking input from developers and researchers to shape the modelâs design through feedback forms and upcoming events.
Whatâs happening:
Open Model Return: The company will launch an open-weight language model âin the coming months,â marking its first since GPT-2. It will include âreasoningâ abilities similar to o3-mini.
Input Matters: OpenAI is hosting in-person feedback events in San Francisco, Europe, and Asia-Pacific, inviting developers to help shape the modelâs design. A public feedback form is also available.
Shift in Strategy: CEO Sam Altman admitted OpenAI has been âon the wrong side of historyâ regarding open-source AI but emphasized that fully open models are still not a top priority.
Competitive Pressure: Metaâs Llama models have surpassed 1 billion downloads, and DeepSeek is rapidly gaining a global user base. OpenAIâs move signals an effort to stay relevant in the open AI race.
OpenAIâs decision marks a significant shift after years of prioritizing closed models. With industry leaders embracing open AI, OpenAI is back with plans to release its first open-weight model since GPT-2. The key question: How open will OpenAI really go? Or is this just a reaction to mounting pressure from rivals?
đŹ Runwayâs New Gen-4 Video Model

Image Credit: Runway
Runway has unveiled its Gen-4 AI video model, marking a significant leap in the quality, control, and consistency of video generation. This new model is designed to integrate seamlessly into professional film and media workflows.
What Gen-4 Brings to the Table:
Consistent Characters and Objects: Gen-4 enables the generation of consistent characters, objects, and environments across different scenes, ensuring seamless transitions and realism. It can maintain this consistency with just a reference image.
GVFX Workflow: Runway introduces "Generative Visual Effects" (GVFX), allowing filmmakers to generate video content that fits smoothly alongside live-action, animated, or VFX-heavy scenes. This new workflow offers a flexible tool for filmmakers to create high-quality videos.
Production-Ready Video: Gen-4 excels in producing dynamic, realistic videos with high-quality motion and superior object and scene consistency. It's designed to adhere strictly to user prompts, delivering precise, controlled results.
Runwayâs Gen-4 represents a milestone in simulating real-world physics, helping to generate videos with a sense of realism thatâs crucial for professional production environments. Integration of AI in the entertainment industry comes with challenges, particularly regarding intellectual property concerns and the future of entertainment jobs.
đ§ AI Turns Brain Signals Into Instant Speech

Researchers connect Ann's brain implant to the voice synthesizer computer. Image Credit: Noah Berger
A breakthrough in brain-computer interfaces (BCIs) has just been made by researchers at UC Berkeley and UCSF, offering hope for those who have lost the ability to speak due to severe paralysis or conditions like ALS or stroke.
Whatâs New in This AI Innovation:
Near-Instant Speech Decoding: Unlike earlier systems with an 8-second delay, this new AI model decodes brain signals into audible speech with just a 1-second delay. This represents a significant leap in real-time speech synthesis.
Personalized Speech: The system uses pre-injury voice recordings of patients to generate speech that sounds more natural and personalized, matching their unique vocal patterns.
Beyond Training Data: The AI model has demonstrated the ability to handle words outside its training data, showing that itâs not just memorizing responses but truly understanding speech patterns.
Compatibility with Various Brain-Sensing Methods: The technology is versatile, working with different brain-sensing methods like microelectrode arrays (MEAs) or non-invasive sensors (sEMG), expanding its potential application.
This breakthrough in AI-powered neuroprosthetics could change the lives of those whoâve lost their ability to speak, providing a way to communicate thatâs more natural, immediate, and less frustrating. The elimination of latency in speech could significantly improve the quality of life for patients, offering a level of normalcy that was once thought unattainable.

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