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MIT Team Builds a Speech-to-Reality System that Turns Spoken Prompts into Physical Objects Within Minutes

MIT researchers have devloped a system that allows users to speak a request aloud and receive a fabricated object minutes later, demonstrating how natural language, generative AI, and robotics can combine to produce on-demand manufacturing. According to MIT, the work, presented at the ACM Symposium on Computational Fabrication, shows that the system can assemble simple furniture and decorative items from modular parts without requiring users to know 3D modeling or robotic programming. Researchers at MIT’s Center for Bits and Atoms, led by graduate student Alexander Htet Kyaw with collaborators Se Hwan Jeon and Miana Smith, built a workflow that begins with speech recognition and a large language model. The model interprets the user’s request — such as asking for a stool — and passes the result to a 3D generative AI system that produces a digital representation of the object. A voxel-based process then breaks that form into discrete components suitable for robotic assembly. After geomet...
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Google Antigravity IDE

Google Antigravity is an agentic development platform, evolving the IDE into the agent-first era. Antigravity enables developers to operate at a higher, task-oriented level managing agents across workspaces, while retaining a familiar AI IDE experience at its core. Antigravity extracts agents into their own surface and provides them the tools needed to autonomously operate across the editor, terminal, and browser emphasizing verification and higher-level communication via tasks and artifacts. This capability enables agents to plan and execute more complex, end-to-end software tasks, elevating all aspects of development, from building features, UI iteration, and fixing bugs to research and generating reports. https://antigravity.google/docs/get-started
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Potential Replacement Technologies For Generative Pretrained Transformers

While the Transformer architecture remains the current gold standard in AI, several emerging technologies and new architectural approaches are being explored as potential replacements, primarily to address the computational cost and memory limitations of the original models. Potential replacement technologies include: State Space Models (SSMs): Architectures like Mamba and Google DeepMind's Hawk and Griffin are gaining traction as serious challengers. They combine recurrent neural network (RNN) and local attention ideas, aiming for better scalability and efficiency than the quadratic self-attention in Transformers. Mixture of Recursions (MoR): This new architecture from Google DeepMind is presented as a leaner, faster alternative. MoR allows the model to decide in real time how much computation (how many layers) each part of the input needs, leading to more efficient use of resources, faster inference, and a smaller memory footprint. Linear Attention Models: Researchers at ...
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Fireside Chat: AI for the Warfighter November 18, 2025   9:40 AM-10:40 AM ET Share session Lafayette Room 1–3 Artificial intelligence is changing how missions are planned, executed, and supported. This discussion explores how AI is being integrated into military operations to enhance decision-making, improve adaptability, and give warfighters an edge in complex environments.   Lieutenant Colonel Nicholas Frazier AI Director, Officer of ARSOF Autonomy, Force Modernization Center  U.S. Army Special Operations Command  Mr. Ben Van Roo Chief Executive Officer and Co-Founder  Legion  https://event-guestside-app-pr50.cvent-production.cvent.cloud/embedded-agenda/ea735bc3-e4c3-4d4d-8c21-4d0547434d6d?session=99d4ea49-3c04-43bb-b454-ba837c499344&shareLink=true Panel: Warfighters + Information: Building the New Maneuver November 19, 2025   9:05 AM-10:05 AM ET Lafayette Room 1–3 As information continues to shape the modern battlefield, it is transforming how m...
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CYBERCOM 2.0: Pentagon Unveils Plan to Fix Cyber Talent Shortfalls

  The Pentagon's cyber talent strategy, updated in late 2025, is   a revamped force generation model focused on building a more lethal and agile cyber force by emphasizing domain mastery, specialized skills, and mission agility . The strategy includes creating three new organizations: a   Cyber Talent Management Organization   for recruiting and retention, an   Advanced Cyber Training and Education Center   for mission-specific instruction, and a   Cyber Innovation Warfare Center   to accelerate capability development. It also involves streamlined recruitment, enhanced collaboration, and improved training to address readiness shortfalls. [ 1 ,   2 ,   3 ,   4 ]   Key pillars of the new strategy  Force Generation Model:  The strategy fundamentally changes how the Department of Defense (DoD) generates its cyber forces to boost lethality and operational effectiveness.  Three New Entities: Cyber Talent Management Org...
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