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What's most exciting about AI is the symbiotic relationship it has with the human mind. It expands what's possible and creates new opportunities for exploration and innovation.

AI does not just accelerate research. It expands the space of hypotheses researchers can afford to test. That makes one thing increasingly important: preserving the path behind discovery. If AI helps generate new routes to knowledge, we also need architectures capable of reconstructing how those routes emerged.

AI is changing more than efficiency. It is changing what is possible. When barriers to exploration are reduced, innovation has room to grow. The organizations that learn how to combine human expertise with AI capabilities will be positioned to solve problems that once seemed too complex, too costly, or too time consuming. The future belongs to those willing to explore beyond the obvious.

The most exciting use of AI isn't replacing researchers. It's giving brilliant people the leverage to explore ideas that were previously too expensive, too complex, or too time-consuming to pursue. More curiosity. Less friction.

Companies mentioned in connection with reduced, limited, or reassessed AI spending in 2025–2026: 1. Uber: reportedly reviewed AI spending after using up its annual AI budget much faster than expected in 2026. 2. Microsoft: limited or scaled back access to some internal AI tools as token and usage costs rose. 3. Amazon: tightened controls around AI usage and token consumption, and signaled that AI should not be used for its own sake. 4. Meta: was mentioned among companies paying closer attention to AI-related spending and internal usage. 5. Salesforce: was also cited among companies moving toward tighter controls or rationing of AI usage due to rising costs. 6. Klarna: partially reversed its aggressive AI-driven customer support strategy and brought more human workers back. The issue was mainly service quality, not cost alone. 7. Duolingo: softened its strict “AI-first” position after public criticism. This was more of a strategic adjustment than a direct budget cut. Reuters reported, citing Gartner, that more than 40% of agentic AI projects may be cancelled by the end of 2027. The trend was already visible in 2025–2026, with rising costs, unclear business value, and immature technology among the main reasons.

In high tech expect the pitch to go across the plate but also watch out for "in your ear."

He's actually right

Thank you so much

“whether society can evolve fast enough…” It’s disturbing to put whole societies and economic livelihoods at the mercy of Silicon Valley. No one must get in the way of AI innovation because it’s good and unstoppable, it’s societies that must keep up, run along to keep pace with AI innovation that even industry leaders can’t tell where it’s leading us. The very hesitation and reluctance that we have adopted towards AI regulation is driving us towards the edge of a cliff.

This is a powerful perspective. AI’s real value in research may be less about replacing human creativity and more about reducing friction, helping researchers explore ideas that were once too complex, time-consuming, or unconventional to pursue. Terence Tao’s view captures the potential of AI as a true partner in discovery.

This is a very important shift. The real value in learning AI is not collecting more theory. It is understanding how separate tools, workflows, agents, memory, retrieval, and interfaces work together as one usable system. Practical learning starts when knowledge becomes architecture. And architecture only matters when it can solve real problems.

AI doesn’t replace smart humans — it empowers them. The future belongs to those who combine human judgment with AI speed to build what neither could alone

I came to faith late. Built a tool through surrender not strategy that puts people alone with Scripture and asks what they're really looking for underneath everything the noise told them to want. I didn't have language for why it mattered beyond the personal. The Pope just gave me the civilizational frame I was missing. Grateful for this post Matthew.

What I love about this conversation is the shift from “AI as a tool” to “AI as a cognitive amplifier.” 🧠⚡ Reducing friction isn’t just about speed — it’s about expanding the space of possible thought. When reasoning models start preserving the *paths* behind discovery, we’re not just accelerating research — we’re building a new architecture for human curiosity itself. This is the frontier: • less friction • more freedom • deeper synthesis The future of science is systems thinking in motion. 🔱🌍

The most impactful role of AI may be reducing barriers between ideas and execution. When researchers and engineers can iterate faster, innovation accelerates across every industry.

Evgen Mirzenko, that's true. But, can we expect this from a 22 year old person, who just graduated from university or college? This sounds more of skills that you learn when you get older.

Cognitive friction to 0 💡

Max Cherhyshov, Indeed, agenetic AI systems are voracious consumers of tokens.

Robert Elkin He framed it well for many of us, onwards!

Michael Fuhrman I go to Church sometimes : I have never been forced to give money.