OpenAI says its system found a subexponential algorithm for SAT, challenging a widely used assumption behind computational lower bounds. Here is what that would change, and what it would not.
AI will not suddenly stop improving when the internet runs out of high-quality text. It will have to learn through synthetic data, interaction, experiments, and expert feedback instead.
A practical reading of Eliyahu Goldratt's The Race, and why AI transformation should focus on bottlenecks, throughput, and flow instead of local productivity.
A practical roadmap of the core engineering problems that must be solved before AI agents become reliable, scalable, secure, and economically useful systems.
A plugin-based platform architecture where each AI agent system is an independently subscribable capability. One interface, one orchestrator, unlimited agents — added without touching existing code.
An introduction to AlphaEvolve, DeepMind's new AI agent that uses evolutionary search and LLM-driven code synthesis to autonomously discover and optimize algorithms, outperforming human-designed solutions in several domains.
An introduction to AlphaEvolve, DeepMind's new AI agent that uses evolutionary search and LLM-driven code synthesis to autonomously discover and optimize algorithms, outperforming human-designed solutions in several domains.
Exploring how modern AI systems are evolving beyond conversational chatbots to become autonomous research agents capable of conducting comprehensive, PhD-level investigations.