Latest AI News Cycle for Tuesday, February 10, 2026

• OpenAI updates Deep Research with GPT-5.2 and enhanced website search: This marks a major product milestone as OpenAI integrates GPT-5.2 into its Deep Research tool, signaling the next generation of LLM capabilities and providing users with specialized, high-fidelity research options.
• Runway raises $315M to develop general-purpose AI world models: The Series E funding at a $5.3B valuation underscores the massive capital infusion into generative video and the industry's pivot toward 'world models' that understand physical dynamics and simulation.
• Isomorphic Labs claims major drug discovery leap beyond AlphaFold 3: This technical breakthrough represents a massive advance in AI-driven biology, moving beyond static protein folding to more complex drug-target interactions that could significantly accelerate the pharmaceutical development pipeline.
• Databricks hits $134B valuation following record revenue run rate surge: Achieving a $5.4B revenue run rate demonstrates the massive enterprise demand for data and AI infrastructure, solidifying Databricks as a cornerstone of the modern AI-industrial complex.
• OpenAI retires GPT-4o early due to concerns over harmful outputs: The decision to scrap the flagship model ahead of schedule highlights the ongoing tension between rapid deployment and safety protocols, suggesting that internal safety thresholds were breached by the model's capabilities.
• Cisco launches Silicon One G300 chip to challenge Nvidia dominance: Cisco's move into high-end 3nm AI infrastructure chips intensifies competition for the hardware backbone of AI, offering enterprises more options for the high-speed networking required for massive model training.
• Goldman Sachs deploys AI agents for accounting and compliance operations: This is a significant ROI benchmark for enterprise AI, showing that major financial institutions are moving from experimental pilots to core operational automation in highly regulated sectors.
• Former GitHub CEO raises $60M for AI-human code synchronization: Addressing the 'human-in-the-loop' challenge, this startup aims to solve the growing technical debt and management issues created by the explosion of AI-generated code in professional environments.