Building With AI, Not Just Using It
This week, we zoom in on how AI is evolving from tool to teammate:
Let’s dive into the signals shaping the next wave of AI-driven systems.
Active Learning for AI
AI should focus on learning through action rather than relying solely on existing human texts, potentially leading to advances in intelligence.
AI's future lies in agents that learn by doing, not just reading human texts.
Memory as a Foundation for Agentic AI
Memory is crucial for agentic AI to evolve coherently, ensuring decisions can be tracked over time.
Without memory, agents forget why they made a choice—which means they can’t evolve systems coherently.
Open Source AI Democratization
Hugging Face is advancing AI accessibility through open-source and open science initiatives. 9 training tracks, all free.
Individuals with AI: Outperforming Teams
AI-equipped individuals can rival whole teams, highlighting productivity shifts and expertise scaling.
One person plus AI can now rival an entire team.
Claude Integrations for Software Connectivity
Anthropic introduces integrations for AI expansion in research and applications.
AI Prediction for 2027
Foreseeing AI developments by 2027 with research-backed projections.
Thanks for following along. If you found any of these perspectives insightful, let's connect—and let's keep asking better questions about how AI fits into real systems, teams, and decisions.