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Tomo: Redefining Social Media with Web3 Innovations

Tomo: Revolutionizing Social Media with Web3 Innovations In an era where social media platforms often prioritize advertisement revenue over user engagement, Tomo emerges as a beacon of transformation. This innovative Web3 social app, recently bolstered by a successful Seed round funding led by Polychain Capital, is set to redefine how we perceive social connections and monetization in the digital realm. A Noteworthy Investment Round The funding round attracted notable industry leaders, including: Consensys Symbolic Capital OKX Ventures Nomad Capital Story Protocol dao5 KuCoin Ventures HTX Ventures This robust backing is a testament to the potential Tomo holds in pioneering a new era of social finance or "SocialFi". Innovating User Experience Tomo's mission centers around integrating financial incentives into the social media landscape via blockchain technology. With offerings like TomoID , a multifunctional social wallet, and the Tomoji ERC 404 Laun...

Unveiling Habitat 3: Advancing Research in Collaborative AI Agents with Meta AI

ta envisions a world where AI agents seamlessly collaborate with humans in virtual 3D environments. This vision has taken a step closer to reality with the unveiling of Habitat 3 by Meta AI. Habitat 3 is a simulator that enables high fidelity simulation of human avatars and facilitates real-time interaction between humans and AI through a virtual interface. Meta AI, presented this groundbreaking platform through their team at Facebook AI Research (FAIR).

Habitat 3: Advancing Research in Collaborative AI Agents

Habitat 3 distinguishes itself by its ability to generate diverse and realistic virtual humans that can navigate indoor environments and manipulate objects almost as efficiently as non-human agents. Described as a "simulation platform for studying collaborative human-robot tasks in home environments," Habitat 3.0 offers contributions across three dimensions, according to the accompanying research paper by FAIR.

The ultimate goal of Meta AI is to achieve what they call "embodied AI," where technology actively participates in the physical world through wearables and robots. Habitat 3.0 represents a significant step towards this goal, as it provides a platform for large-scale training of human-robot interaction in everyday tasks, such as tidying up a living room or preparing a meal in the kitchen.

Benchmarking Collaborative AI Capabilities

To benchmark the collaborative AI capabilities of Habitat 3, the team at Meta AI designed two types of interactive tasks: social navigation and social rearrangement. In the social navigation task, a robot must locate and follow an avatar. In the social rearrangement task, a robot and avatar work together to clean up a room.

Through their experiments, the researchers discovered that virtual robots developed policies and learned behaviors to efficiently collaborate with avatars. For example, the robots learned to give avatars space when navigating together. The social rearrangement experiments also demonstrated that learned policies could enhance work efficiency when collaborating with unseen avatar partners.

The Path Forward

Meta AI expressed satisfaction with the progress they have made towards their vision of socially intelligent robots since the release of Habitat 1.0 in 2019. However, they acknowledged that there is still important work to be done. Habitat 3 and similar tools can play a crucial role in encouraging greater engagement in this vital research direction.

As we look towards the future, Meta AI envisions a world where AI agents seamlessly collaborate with humans in various domains. Habitat 3 represents a significant advancement in this direction, enabling researchers to explore and train AI agents for collaborative tasks in realistic virtual environments. With continued research and development, we may soon witness the realization of Meta AI's vision of embodied AI, where technology plays an active role in our physical world.

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