What Bertrand Russell would say today


Martin Milani: “Bertrand Russell didn’t trust language to express truth. He built a new system—formal logic—to make thought precise. In Principia Mathematica, Russell didn’t try to say things clearly. He tried to prove them. Today’s AI skips that step. It treats language as knowledge. But LLMs don’t understand the world—they understand statistical shadows of words about the world.

If Russell were here, he’d remind us:
Words aren’t knowledge. Reason is.
Language isn’t intelligence. Math is.
LLMs might be how humans talk to machines—but they won’t be how machines think.
They’re not the mind. They’re the keyboard.” Link

Martin also recommends this article: “The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

Posted in Artificial Intelligence, Knowledge Representation, LLM, Logic and AI, Scientists | Leave a comment

Amazement Trumps Reason

Vincent Lextrait, the founder of METASPEX, published an article with this name. It is not about AI, but as Vincent mentioned, “I do not think I need to say what inspired that post.” This is a good story with personal touches—it really makes you pause and think about where modern technology is heading. Link

Posted in Human Intelligence, Human-Machine Interaction, Innovation | Leave a comment

How many software developers are there?

It is hard to check the credibility of any estimate of the current and future numbers of software developers worldwide. Bjarne Stroustrup points out that counting developers is hard and that not everybody defines “developer” in the same way. Still, this discussion presents some interesting signs of potential transformation, slowdown, and stagnation. “We saw that this growth is primarily driven by professionals, while the amateur segment is shrinking, and the developer community is gradually becoming older. We also looked at regional shifts—where the strongest growth is happening. We explored how developers are expanding into new types of software development, how language preferences are evolving, which industries are growing fast, and how medium-sized businesses are becoming centres of innovation. What drives software developers, where they work, what projects they’re involved in, and their technology choices are more critical than ever.Link

Posted in Software Development, Trends | Leave a comment

Innovation Theater

John Brandon Elam wrote about Why Real Builders Leave and Mediocrity Gets Promoted: “I’ve been talking to professionals across decision intelligence, AI, and software development. Different companies. Different industries. But the same patterns keep emerging:

→ Projects that return millions get less recognition than PowerPoint decks
→ Leaders championing “AI strategy” who can’t define what AI actually is
→ The best builders quietly leave while mediocrity gets promoted.

This is innovation theater. And it’s an industry-wide problem.” Link

Posted in Decision Intelligence, Thinking | Leave a comment

Challenge Dec-2025 “Inside/Outside Production”

You need to help a manufacturer decide how much of each demanded product should be produced internally and how much should be sourced from outside. Whether a product is made inside or outside, it has an associated cost. A product can consume a given amount of internal resources that have limited capacities. The general objective is to minimize the total production cost while ensuring the company meets the demand exactly or with a certain tolerance.

The manufacturer wants to consider various production decisions to choose the most suitable ones based on the long-term resource availability and uncertain future demand. Link

Posted in Challenges, Decision Modeling, Optimization, Uncertainty | Leave a comment

One More Time About Declarativity

Link

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The person who ships wins

Adam DeJans Jr. recommends:

– Build the smallest thing that actually solves the problem
– Get it in front of people fast
– Fix what actually matters, not what only you notice
– Don’t wait for perfect alignment; ship something that forces alignment
– Make progress visible

This applies to optimization models, ML systems, pricing engines, routing algorithms, everything. The polished version only exists because the messy version went out first. Link

Posted in Decision Modeling, Software Development | Leave a comment

Yann LeCun is leaving Meta

“Yann LeCun is leaving Meta. And he thinks LLMs are a dead end.
One of the founding fathers of modern AI is quietly preparing his next move.
And the reason he is leaving might reshape the entire industry.” Link More

Posted in Artificial Intelligence, Scientists | Leave a comment

Challenge Nov-2025 “Advanced Website Design”

This challenge is an advanced version of last month’s Challenge Oct-2025, when a freelance developer needs to design a website with as many features as possible, but also maximizing the total value of the selected features. Now you have several additional requirements:

  • Features 3 and 4 can be chosen only together.
  • Feature 2 cannot be combined with Feature 3.
  • Only one of the features 8, 9, and 10 can be selected. Otherwise, the cost of each of these features will be increased by 10%.
  • If 5 or more features are selected, 5% discount is provided.

You want to offer a design that maximizes the total value while minimizing the total cost. Link

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“It’s the autonomy, stupid!”

This is the title of Yefim Natis‘s post about agentic computing. “Agents can be the building blocks for composable solutions, and orchestration agents may take on the role of a composer. Autonomy of a software component is not new. The best architectures for complex enterprise systems are compositions of autonomous components, typically interconnected via asynchronous messaging and event-driven communications. Event listeners (sinks) are always autonomous as they are designed to operate in the “mission-impossible” style: without the ability to negotiate with the source. An autonomous component must ensure its internal integrity independent of external events and contexts. Autonomy does not mean that the component does not connect out; it means that it will operate with full integrity regardless of the outcomes of its external connections.

Autonomy’s value does not require the use of AI. Autonomous modularity is the typical choice for complex systems that demand performance at the enterprise/global scale. The organizations that are hesitant to invest in the current AI tools for their mission-critical systems should not delay the architectural transformation to agentic computing. Autonomous modularity and the principles of composable architecture will serve you well in improving your current systems, and will turn out to be a great foundation for the future enterprise-AI computin
g.” Link

Posted in Agents, Architecture | Leave a comment