DuckDuckGo targets schools frustrated with Google's AI policy

Researchers are exploring 'reverse game theory,' or mechanism design, as an alternative approach to AI alignment that sidesteps the need to understand AI internals. Rather than trying to interpret what models are thinking or instill values through training, this method designs incentive structures that reward desired behavior. Recent work from MIT, Yale, and Columbia economists, along with Princeton computer scientists, proposes specific mechanisms like cross-model verification and adversarial auditing to prevent AI agents from deliberately underperforming on safety tests.

Anthropic has updated Claude Code's system prompt to block users from recreating existing video games, though original game development remains permitted. The change comes as retro gaming communities face an influx of AI-generated decompilations, recompilations, and ports. Two sentences were added to the system prompt distinguishing between building original games and recreating specific existing titles.

Anthropic has warned that artificial intelligence is approaching Recursive Self-Improvement (RSI) capability, a threshold at which AI systems become capable of training and improving themselves. RSI represents a potential inflection point where AI capabilities could accelerate dramatically without human intervention. The company's warning signals growing concern within the AI industry about the trajectory of AI development and the implications of systems that can autonomously enhance their own performance.

China's top economic planner Wang Ruomeng announced Tuesday that Beijing will establish safety standards and ethical guidelines covering the full lifecycle of AI development and deployment. The country will closely monitor AI's impact on employment as part of a broader regulatory framework. The move signals China's intent to balance AI innovation with systemic risk management and labor market protection.