The exhaustion with algorithmic performance

We are starting to see the edge of integrated orchestration within the systems we are using every day. Our access to models has moved from single serving chat frameworks to more complex orchestration.

Apr 10, 2026

This is week 224 of the Lindahl Letter publication. A new edition arrives every Friday. This week the topic under consideration for the Lindahl Letter is, “The exhaustion with algorithmic performance.”

This week I’m listening to the Penguin Random House audio book version of the recently published book, “The Infinity Machine: Demis Hassabis, DeepMind and the Quest for Superintelligence,” by Sebastian Mallaby from March 31, 2026. I’ll share more about that after I finish listening to the book.

Here we go. It’s Saturday morning during the time I reserved to think deeply about the world and research new topics. The ongoing writing has started again. Those notes will continue to be shared on Friday afternoons. I just finished a brief note about how that old school internet was different [1]. Sharing nostalgic thoughts about the internet before social networking really started. We are starting to see the edge of integrated orchestration within the systems we are using every day. Our access to models has moved from single serving chat frameworks to more complex orchestration across.

All the walls that separated things are now either falling or getting thinner and thinner. Probably the best example of that was the rapid rise in popularity of OpenClaw [2]. Peter Steinberger even ended up working for OpenAI while OpenClaw moved to an independent foundation [3]. We are hitting a point where something shows up and people can learn about it and then recreate it very rapidly. As we learned back in 2023 ideas are not effective moats [4]. We even witnessed the Anthropic Claude code harness leak this week [5]. Somebody at some point is going to have OpenClaw attempt to frankenstein a path forward from that harness and other models. We did see Anthropic move to effectively ban 3rd party harnesses starting April 4, 2026 [6]. We can now see the situation reverse thanks to that code leak. While the infrastructure setup Anthropic possesses and weights they protect within the models might be the secret sauce to delivery things could very well change rapidly in that space going forward.

Maybe as a result of all this rapid change I’m writing about the exhaustion we feel with algorithmic performance. It’s something I have been thinking about and trying to synthesize into a meaningful block of content. Maybe the answer is to consider two elements of dealing with agentic systems: first, the fatigue people feel from working with them constantly and second, the tipping point we are facing from rapid integration. We will probably figure out ways to handle or deal with the fatigue related to working with these types of agents for prolonged periods of time. Finding a firm footing to deal with the rapid change will center on how foundational change occurs. My contention is that dealing with algorithmic performance has changed both ideation and operationalization. It’s changing the foundation of decision making. It’s changing the frameworks deployed to make decisions and ultimately the expectations of what is possible.

We have so much content to synthesize these days. Content flooding changes our ability to operationalize. The exhaustion we feel isn’t just from the pace of change we are seeing; it’s from the fundamental shift in how we ideate and operationalize. Algorithmic performance is no longer a tool we use to get things done and accomplish tasks; it is becoming the framework through which all professional expectations and decisions are filtered.

I’m going to conclude the Lindahl Letter this week with 2 key takeaways:

The Orchestration Overload: We are moving past the single serving prompt era into a world of integrated orchestration. It’s no longer one prompt and go forward. While tools like OpenClaw promise seamless efficiency and a lot of security risk, the cognitive load of managing these multi-agent systems is creating a new form of digital fatigue I was trying to describe in terms of algorithmic performance today.

The Vanishing Moat: The recent Claude Code harness leak and the rapid democratization of agentic frameworks prove that ideas and code are no longer durable moats. In a world where anyone can frankenstein a path forward from a leak, shared idea, or reverse engineered software the only real competitive advantage is operational execution and the protected weights of the models themselves.

What’s next for the Lindahl Letter? New editions arrive every Friday. If you are still listening at this point and enjoyed this content, then please take a moment and share it with a friend. If you are new to the Lindahl Letter, then please consider subscribing. Make sure to stay curious, stay informed, and enjoy the week ahead!

Footnotes:

[1] That old school internet was different