Meta Platforms has made headlines by recruiting Ruoming Pang, an AI expert from Apple, with a lucrative package of over $200 million to spearhead their Superintelligence Labs. This strategic move underscores Meta’s intent to assert itself in the cutting-edge domain of artificial intelligence. Concurrently, the European Commission’s recent AI Act introduces imperative guidelines that companies must adhere to, promoting transparency, copyright adherence, and safety in AI deployment.
Meta Platforms has made a significant foray into the AI landscape by hiring Ruoming Pang, a distinguished AI expert previously with Apple. The recruitment, costing over , aims to bolster Meta’s Superintelligence Labs. This initiative represents Meta’s aggressive strategy to compete with leading AI developers and create advanced artificial intelligence with human-like capabilities. By investing heavily in high-caliber talent, Meta hopes to push the boundaries of human-level AI performance.
On July 2025, the European Commission unveiled the General-Purpose AI Code of Practice. Part of the broader EU AI Act, these guidelines emphasize the importance of transparency, copyright, and safety for AI systems. From August 2, 2026, new models will have to comply with these legally binding rules, with existing models being scrutinized from August 2, 2027. Non-compliance may result in fines up to of a company’s annual sales, encouraging companies to align with these stringent requirements to avoid penalties.
Google has acquired Windsurf, an innovative AI coding assistant. The key personnel from Windsurf, including CEO Varun Mohan, will join Google’s DeepMind. This talent integration is targeted at enhancing the development of coding agents and tools for the Gemini project. This move represents Google’s effort to stay at the forefront of AI and software tool development, utilizing Windsurf’s expertise to accelerate progress in Gemini’s evolution.
On July 13, 2025, Coinbase CEO Brian Armstrong projected a transformative “10x” increase in AI’s integration within the crypto sector. In collaboration with Perplexity AI, Coinbase plans to deploy real-time crypto data services that leverage AI’s advanced analytical capabilities. This partnership aims to enhance user experience and operational efficiencies within the rapidly evolving world of cryptocurrency.
Haritha Khandabattu has highlighted a shift in AI development focus, moving from large language models to small language models (SLMs). This trend is motivated by enterprises’ desire for efficiency and measurable outcomes. SLMs are increasingly favored due to their data readiness and optimized performance, signaling a departure from prioritizing model size as the primary benchmark of AI success.
