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News
Mathematical Experiments Are Becoming Abundant Through Human-Machine Teaming
21+ hour, 18+ min ago (1202+ words) Two open problems, exact-arithmetic checking and a proof assistant, over a single weekend. I ended a recent weekend without a Hadamard matrix of order 668 and with a mathematical theorem I did not yet trust enough to call a result. Working…...
My Model Was Cheating on Its Own Test
2+ day, 1+ hour ago (816+ words) A preprocessing pipeline let my car price model peek at the test set before the exam, and the twelve points of R squared it cheated its way to My own leak was much smaller and much easier to miss. It…...
A Day in the Life of a Data Scientist in 2026
1+ day, 22+ hour ago (658+ words) How AI has massively changed my day-to-day workflow Believe it or not, two years ago, I was still writing and debugging code daily. Line by line. Practically slamming my head against the desk after 2 hours of debugging to no avail....
I Made an LLM Lay Siege to My Minecraft House
2+ day, 2+ hour ago (1782+ words) Can a language model do live adversarial-level design? Yes, emphasis on the adversarial part The final ray of light fades behind the horizon — dusk. You shift around anxiously, fiddling with your sword and bow — in this world, you never know…...
Cut an Enterprise RAG Pipeline???s Latency and Cost by Calling the LLM Less, Not by Buying a Faster Model
2+ day, 23+ hour ago (1037+ words) Enterprise Document Intelligence [Vol.1 #9ter] – The pipeline from Article 9 calls a model at several steps to be sure it is right. On easy questions that is needless latency. A per-question signal routes them past the model, about two seconds saved for…...
Backpropagation Explained for Beginners (Part 3): How Backpropagation Really Works
3+ day, 23+ hour ago (1773+ words) From one gradient to every gradient First of all, thank you so much for the response to the first two parts of this series. It feels good that many of you have found them helpful. As always, if you have…...
Before Full Agentic RAG: Know How You Decide, and the Parsing Methods You Pick From
3+ day, 22+ hour ago (985+ words) Enterprise Document Intelligence [Vol.1 #5nonies] – Nature, plan, execute, synthesize: closing brick 1 with a dispatcher that reads each PDF’s nature and picks the method that fits, fitz, Docling, PaddleOCR, EasyOCR, MinerU or Surya, then folds the outputs into one corpus AI engineers…...
How to Place Vertiport Locations in Any City Using Geospatial Machine Learning
4+ day, 2+ hour ago (1764+ words) A reproducible Lagos case study with population data, transport access, and airspace constraints A vertiport is a small airfield built for aircraft that take off and land straight up and down, such as electric air taxis. If a city has…...
Building Multimodal Workflows with a Local LLM
4+ day, 1+ hour ago (782+ words) Image inputs and structured outputs with Gemma 4 and Ollama Running an LLM locally is attractive when working with private data or building workflows that should run on our own machine. And those workflows no longer need to be limited to…...
Should AI Developers Make the Switch from Polars to Pandas?
4+ day, 23+ hour ago (992+ words) Not all Python data libraries are created equal! If you are someone who has used Python for data analysis (or dealt with data in any form) for even a few weeks, you have almost certainly used Pandas, or at least…...