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In recent days, the AI world has seen key developments across infrastructure, ethics, and regulation.

Google introduced Gemini 2.5, pushing for better "intelligence per dollar" — making AI more efficient and scalable. Meanwhile, OpenAI signed a multibillion-dollar deal with Oracle to boost its computing capabilities, a major step in the infrastructure arms race.

On the model front, DeepSeek’s R1 0528 is under fire for what critics say is excessive speech filtering — raising concerns about AI’s impact on free expression.

Meta is now facing legal action over alleged misuse of protected data in training its Llama model, all while refusing to sign the EU’s AI Code of Practice — a move that highlights the growing tension between innovation and compliance.

Lastly, the U.S. has tightened export restrictions on high-performance AI chips, underlining the geopolitical dimensions of AI leadership.