Latest AI (Artificial Intelligence) News
Historic 25-Day AI Model Sprint Reshapes Industry
Between November 17 and December 11, 2025, four major companies launched their most powerful models in rapid succession, compressing innovation unprecedentedly. This sprint highlighted accelerated development in reasoning capabilities like OpenAI’s o1 and DeepSeek R1.
Global spending neared $1 trillion, fueling growth but raising energy and geopolitical concerns.
DeepSeek R1 Disrupts AI Economics with Low-Cost Training
Chinese startup DeepSeek trained its R1 reasoning model for just $5.6 million, matching pricier rivals and sparking 'DeepSeek Monday' market crash with Nvidia losing $600B. This open-weight model commoditized reasoning, enabling global developers to build advanced agents affordably.
It topped US iOS App Store, signaling decentralized AI progress.
OpenAI's GPT-5 Designs Science Experiments Autonomously
GPT-5 now generates, plans, and executes science experiments independently, aiding Red Queen Bio to accelerate gene copying 79 times faster. This positions AI as a super-smart lab assistant for discoveries.
It exemplifies agentic AI's role in speeding up research.
Human-AI Teams Outperform Autonomous Agents in Quality
Stanford and Carnegie Mellon found hybrid human-AI teams produce superior work despite AI's speed and cost advantages. This suggests future AI success lies in smart partnerships, not replacement.
It highlights reliability limits of fully autonomous systems.
AI Designs Molecules for Pancreatic Cancer Treatment
On December 16, 2025, AI-generated molecules advanced pancreatic cancer therapies by targeting tumor resistance. Biotech gears for 2026 trials of AI-discovered drugs in oncology and rare diseases.
This shifts AI from computation to real medical impact.
AlphaFold Revolutionizes Biology on 5-Year Anniversary
AlphaFold predicted structures for 240M proteins, used by 3M researchers in 190 countries for drug development and disease research. AlphaFold 3 enabled weekend breakthroughs in malaria enzyme structures.
Google advances to bio-simulations and digital cell twins.