Google DeepMind researchers have unveiled a groundbreaking framework called 'Boundless Socratic Learning' that could revolutionize how AI systems improve themselves.

• Framework enables AI self-improvement through language-based interactions.

• Uses language games for structured learning without external data or human feedback.

• System generates its own training scenarios and evaluates performance.

• Outlines three levels of AI self-improvement:

• Basic input/output learning.

• Game selection.

• Potential code self-modification.

This development could lead to open-ended AI improvement beyond initial training, limited only by computational resources. It represents a significant step towards more autonomous and self-evolving AI systems.

A closer examination reveals that many AI systems marketed as "open" are far from it, raising concerns about transparency and access in the AI industry.

• True openness requires sharing code, datasets, model weights, and training methods.

• Tech giants often misuse the term "open", creating misleading perceptions of accessibility.

• Concentration of AI control by large companies limits broader innovation.

• EU's AI Act aims to increase transparency and prevent discriminatory practices.

• Genuine open-source AI could democratize technology but faces significant challenges.

The lack of true openness in AI systems risks reinforcing existing inequalities and centralizing power in the hands of a few tech giants. Redefining and safeguarding openness is crucial for fostering innovation, ensuring equitable access, and harnessing AI's potential for societal benefit.

Elon Musk has filed a preliminary injunction to halt OpenAI's planned transition to a fully for-profit business structure, escalating the ongoing legal battle between the former co-founder and the AI company.

• Injunction aims to preserve OpenAI's original non-profit character.

• Targets OpenAI, Sam Altman, Microsoft, and former board members.

• Alleges improper sharing of competitive information and self-dealing.

• Claims OpenAI discourages investors from backing competitors like xAI.

• OpenAI dismisses the action as "recycling of the same baseless complaints".

This legal action could potentially disrupt OpenAI's plans to secure its $150B+ valuation and close investments. It also highlights the ongoing scrutiny of OpenAI's complex structure and business dealings, raising questions about transparency and competition in the AI industry.

Adobe researchers have introduced MultiFoley, an advanced AI system that automatically generates synchronized post-production sound effects for videos through text prompts, reference audio, or existing sound clips.

• Produces high-quality 48kHz audio synchronized with on-screen action.

• Achieves synchronization accuracy of just 0.8 seconds.

• Trained on internet videos and professional sound effect libraries.

• Allows creative sound transformation while maintaining video timing.

• Outperforms previous models in synchronization accuracy and user ratings.

MultiFoley represents a significant advancement in AI-powered audio generation for video content. This technology could revolutionize post-production workflows in the film and video industry, offering unprecedented efficiency and creative possibilities in sound design.