Explore how Sakana AI’s brain-inspired Continuous Thought Machine pioneers time-based reasoning, offering breakthroughs in adaptive AI, generative models, and biologically inspired computation.
Discover the truth behind AI productivity claims, generative AI breakthroughs, and 2025 trends. Learn why MIT disavowed a high-profile study and what it means for AI’s future.
Artificial intelligence is no longer just a buzzword—it’s reshaping industries, augmenting human creativity, and solving problems once deemed impossible. But…
Discover how generative AI and edge computing converge, with breakthroughs like Liquid AI’s Hyena Edge model enabling faster, private, and sustainable applications.
Controversial shift from nonprofit to corporate-military partnerships, the ethical debates, and regulatory responses shaping the future of AI governance.
Retrieval-augmented generation (RAG) tackles AI hallucinations by integrating breakthroughs like AutoRAG and RAGFlow, delivering accurate and trustworthy AI systems for real-world applications.
Discover how the Model Context Protocol (MCP) is transforming AI by enabling real-time, context-aware interactions with external data sources. Learn about its architecture, use cases, and impact on generative AI development.
Are AI benchmarks misleading? Discover how companies game the system to inflate progress claims, why transparent benchmarks like ARC-AGI-2 matter, and what real AI advancement looks like.
As OpenAI loses top safety researchers and faces internal clashes, we examine whether AI giants can balance profit and ethical safeguards. Explore the exodus, Peter Thiel’s warnings, and what’s next for AI safety.
OpenBMB’s MiniCPM-O 2.6 is an 8B-parameter multimodal AI model that understands vision, speech, and text—all on edge devices. Discover how it could reshape decentralized AI.
