IBM to Acquire Confluent

IBM to Acquire Confluent to Create Smart Data Platform for Enterprise Generative AI

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Juniors vs Seniors

We hear that the job market for junior software developers is dead, while the market for senior ones is thriving. I do not dispute this, I dispute the interpretation of it. It is completely unrelated to AI. Here is why: junior devs are supposed to be “AI natives” while senior developers are supposed to be gatekeeping against AI. That’s what we’re told and that many parrot. It makes no sense, if it were AI, the market would favor juniors.” Link

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Stop pretending deterministic is good enough

This is a phrase from the latest post by Adam DeJans Jr. “We all know the world is uncertain. But what are you actually doing about it?

Most of us? Running deterministic optimization and crossing our fingers. You KNOW your forecast is wrong, but hey, at least the solver finishes in reasonable time.

The brave ones? Trying multistage stochastic optimization. Now you’re modeling uncertainty properly… and watching your solve times explode as you enumerate every possible future scenario. Good luck explaining to your boss why the model that “handles uncertainty better” takes 100x longer to run.

And let’s be real, 2026 is shaping up to be EXTRA uncertain. Trump’s back in office changing his mind on tariffs every other day. Your supply chain models? Obsolete by Tuesday. Your cost forecasts? Already wrong. The one thing you CAN count on is that whatever you planned for yesterday isn’t what you’re dealing with today.

There’s a third option nobody talks about.”
Link

Posted in Decision Modeling, Digital Decisioning, Optimization, Uncertainty | Leave a comment

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

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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

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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

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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

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