The evolution of AI agents highlights the critical need for high-quality data management to unlock their full potential. Generative AI, particularly LLMs (Large Language Models), powers these agents, enabling them to automate complex decision-making and task execution. However, their performance is heavily reliant on the quality and structure of the data they can access.

The "data chaos" prevalent in many organizations—characterized by unstructured formats, fragmented systems, and incomplete records—can undermine the reliability of AI agents, leading to hallucinations and flawed automation. To overcome these challenges, data standardization, structured pipelines, and robust data governance are essential.

For AI agents to deliver true value, it's not enough to possess vast amounts of data; they require access to "smart data"—accurate, consistent, and trustworthy information. This ensures that AI agents can provide reliable insights and effectively automate complex processes.

👉 Read the full article on InfoWorld

Tesla is restarting development on its third-generation AI training supercomputer, “Dojo3,” which was previously halted. CEO Elon Musk announced that following the successful progress of the AI5 chip design, the project will now focus on “space-based AI compute.”

This strategic shift moves the focus from training autonomous driving models on Earth to enhancing AI processing capabilities in space. Dojo3 (also referred to as AI7) envisions autonomous computing hardware operating outside Earth's atmosphere, aiming to leverage uninterrupted solar power and potentially alleviate the massive energy demands of terrestrial data centers.

Tesla is also considering utilizing SpaceX resources to launch satellites for AI data centers, despite challenges such as cooling in a vacuum. This initiative signifies Tesla's renewed commitment to custom silicon development and could be a significant step towards building future space-based AI infrastructure.

👉 Read the full article on TechCrunch

A new startup named “Humans&,” founded by researchers from leading AI companies including Anthropic, xAI, and Google, has secured a massive $480 million seed round at a valuation of $4.48 billion. The company's mission is to design AI tools centered around human connection and collaboration, emphasizing the continued importance of human insight.

This significant funding round underscores a growing interest in "human-centric AI," which aims to augment human capabilities rather than replace human workers. Humans& plans to allocate the majority of the capital towards compute resources for model training.

Co-founder Georges Harik, an early employee at Google, stated the company's vision is to foster a future where progress is driven by human collaboration, trust, and connection, rather than solely by AI automation. The startup intends to innovate in areas such as multi-agent reinforcement learning, memory systems, and user understanding to develop AI that strengthens organizations and communities.

👉 Read the full article on TechCrunch