Limited memory is one of the core types of artificial intelligence, referring to systems that can use data from the recent past to make decisions and improve performance. Unlike reactive machines, which rely solely on present inputs, limited memory AI can learn from historical information such as previous interactions, stored data, or observations. This capability allows models like self-driving car systems and recommendation engines to adapt their behavior based on context and experience. The memory, however, is not permanent – AI systems only retain relevant information for a short period to inform immediate tasks. Limited memory represents a key step toward more advanced, context-aware AI that balances learning ability with efficiency.
Jensen Huang urges cooperation with Chinese AI researchers as the industry debates how to manage advanced systems and maintain effective human control.
H2O.ai’s 2026 AI 100 recognizes model builders, researchers and business leaders, with honorees spanning nearly 90 organizations worldwide.
Google opens Gemini 4 Argon to Pro and Ultra subscribers, developers and businesses, with introductory API pricing and a million-token working window.
Muse Wonder puts Meta alongside OpenAI, Anthropic, Google and Grok. We examine the rankings, strengths, pricing and access shaping the frontier AI race.
Meta’s Muse Wonder models pair Active Memory with Active Focus for AI agents, coding and professional work, with API access and subscription-only Full.
Kristalina Georgieva warns AI could reshape 40% of jobs worldwide, with young graduates facing pressure as routine entry-level work is automated.
Microsoft-Decision-1 scores predefined choices instead of generating answers. It is available on Foundry and OpenRouter at $0.042 per million input tokens.
Claude Haiku 5.5 cuts costs for everyday AI tasks, with API rates up to 20x below Sonnet and Anthropic-reported benchmark gains over GPT-6 Luna.
Mistral launches a Large 4 API preview with a trillion-parameter architecture, discounted pricing and enterprise-focused benchmarks. Open weights are due later this month.
Can Gemini 4 Argon really match OpenAI’s models and Claude—or outperform them? Benchmarks show gains, but wider enterprise use will test those results.