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  1. A historical pricing replay found a modeled 14% revenue opportunity without a blanket discount.

  2. Jev beat untouched small LLMs.

  3. A hindsight oracle found a better expert choice.

  4. Thin-file approvals can clear validation and still lose money, because a scorecard and a cutoff are two different objects and only one of them was tested.

  5. At a major unsecured payday loan company, five models scored the same applications on the same days.

  6. Construction estimates fade between bid margin and closeout margin, in the same direction, year after year.

  7. We swapped hidden states in Coconut and a small recurrent transformer to test what their loops carry and how they use it.

  8. Deleting a model's thoughts barely changed graph-search accuracy but cut arithmetic from 33.3% to 5.1% in this Coconut replication.

  9. A Small AI Model spent a school year with a larger teacher.

  10. The folk model says a Mixture of Experts holds a code expert and a medicine expert.

  11. The folk model says a Mixture of Experts has topic specialists: a code expert, a geography expert.

  12. A Mixture-of-Experts model is supposed to spend a fraction of itself on each token.

  13. The prompt never says Italy, but twelve layers into Qwen3.5-4B the model is already thinking it.

  14. I wrote facts directly into a 4B model's J-space and KV cache on an RTX 4090.

  15. Can a cheap reward model tell a good AI agent plan from a bad one before you run it?

  16. I tested the viral Karpathy coding-discipline rules on 100 real SWE-bench bugs, three times.

  17. MSA sparse attention, retrofitted onto a 3B model on a single RTX 4090 with no training: the 28.4x compute cut holds, quality survives, plus caveats the paper skips.

  18. I tested DFlash speculative decoding on an M5 Max and RTX 4090.

  19. A field note on over-cautious process control, and the margin hiding in your own sensor data.

  20. In 1772, Joseph-Louis Lagrange solved a piece of the three-body problem that had stumped everyone before him.

  21. Why most enterprise GenAI initiatives stall after pilots and what actually scales The Investor Narrative vs the Operator Reality From the outside, enterprise generative AI looks like a straight line.

  22. Artificial intelligence is no longer a futuristic concept reserved for sci-fi movies.

  23. How Emergent Uncomputability Could Explain Both the Universe and Artificial Intelligence The idea that we might be living inside a simulation refuses to die.

  24. Imagine a world where your business operations run smoother, faster, and smarter.

  25. Fraud is a sneaky adversary.

  26. Understanding Intellectual Property in the Modern Age At its core, intellectual property (IP) is not merely about ownership of ideas.

  27. Animal vs Ghost Most AI systems today are ghosts: trained on human text, fine-tuned for alignment, and limited to observing and...

  28. Here’s what’s changed or accelerated in recent months, the “hot takes” you can’t ignore. 1.

  29. Artificial intelligence (AI) is transforming the way businesses operate across industries.