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I rated my confidence 4 out of 5, then couldn’t find a planted bug in 8 minutes. Here is the tool, the run, and its limits. The post Do You Still Own the Code Your AI Wrote? I Built CodeOwnership to Measure It appeared first on Towards…
From static retrieval pipelines to autonomous reasoning engines: a complete breakdown of how these two architectures work, where each falls short, and how to choose the right one for your use case.
The tool found the right passage but missed the mismatch, and the audit shows where rule-based checks break down. The post I Built a Claim-Checker for Writing With Codex. It Passed a Wrong Claim. appeared first on Towards Data Science .
Getting your data science code running anywhere The post Deploying Data Science Tools: Part 1 appeared first on Towards Data Science .
World models could be the next big shift in AI. Learn more right now.
The same three workloads show a much stronger JIT, but it still doesn't help every program The post I Reran My Python 3.14 JIT Benchmarks on Python 3.15 appeared first on Towards Data Science .
This review highlights the main critiques of Abacus AI, its price, user reviews, reliability of workflows, and real-life use cases to assist you in evaluating its advantages and disadvantages.
AI makes it possible to generate code faster than teams can understand and support it. In this episode, Honeycomb cofounder and CTO Charity Majors joined Ben to discuss how that shift changes the work of building reliable software. Charity…
A hands-on Jev repo comparison of routing accuracy, latency, and output reliability The post Jev Your Engines: Seven Open Decision Models vs. a Generative LLM appeared first on Towards Data Science .
OGX is an open-source agentic API server for building OpenAI-compatible AI applications, using any model and any infrastructure.
Matching messy text, choosing representative examples, and generating comparison data. The post What OpenAI’s 719 Math Papers Mean for Data Science appeared first on Towards Data Science .
I read the exact answer distribution from the logits of open models, base and instruction-tuned, and turned it into bits and guesses-to-crack. The post How Many Guesses Does It Take to Crack an AI's "Random" Number? appeared first on…
Find open-source alternatives to OpenAI API, Midjourney, Claude Code, Notion, Wispr Flow, Grammarly, and NotebookLM that you can run locally or self-host for more privacy, control, and lower cost.
Pasting in the whole chat history cost 20 to 31 times more than looking up notes, and it did no better on the tasks. The post I Tested Four Ways to Give an AI Assistant a Memory. The Obvious One Was the Worst Value. appeared first on…
The following article originally appeared on Addy Osmani’s Elevate blog and is being republished here with the author’s permission. For much of human history, we’ve evaluated code quality via code review: Someone reads what you wrote and…
It only helps when your models make different mistakes. The post Does Stacking Beat Your Best Model? appeared first on Towards Data Science .
Leveraging Scikit-LLM for one of the simplest yet most practical text classification tasks utilized in the modern AI landscape: few-shot classification.
Understanding how words become related in a learned vector space The post How Do Word Embeddings Capture Relationships Between Words? appeared first on Towards Data Science .
Hospitals, banks, and edge devices can agree on which features matter by sharing votes instead of rows, runnable in NVIDIA FLARE and Flower The post Voting on Features: Federated Feature Selection Without Sharing Data appeared first on…
Want to understand what makes LLMs fast? Build the systems yourself.
A technical reflection on why data scientists need software engineering principles when AI agents write code. The post A Scaffold at the Gate: Building AI Applications That Can Evolve appeared first on Towards Data Science .
I use AI for writing all the time. But not because it’s good at writing. In fact, just the opposite is true. AI is so reliably bad at writing that I’ve actually taken advantage of that, and made its bad writing an integral part of my…
Agents got good. The hard part now is everything around them. The post Your Agent Doesn't Need More Freedom appeared first on Towards Data Science .
A four-level technical roadmap for building agentic AI systems, from single cognitive loops and stateful memory through multi-agent swarms and production observability.
Benchmarking NumPyro, affine-invariant MCMC, and dynesty against exact ground truth and watching them fail. The post Three Samplers, One Posterior: NUTS vs. Emcee vs. Nested Sampling appeared first on Towards Data Science .
Real repositories, seeded agent decisions: what 50,400 runs show about wasted turns, patch churn, and which harness rules help The post Coding Agents Can Solve the Task — But How Much Work Did They Waste? appeared first on Towards Data…
Five AutoHotkey v2 scripts that handle repetitive Windows desktop work around data analysis: launching a project workspace, converting clipboard IDs to Python or SQL lists, fixing file paths, and snapping windows into place.
In my previous Radar article, “Architectural Guardrails for AI-Generated Code,” I argued that AI coding agents need a layer that can hold architectural decisions in a structured corpus, retrieve the relevant ones, put them into the agent’s…
A practical guide to strengthening churn, CLV, and other traditional models with text The post How to Leverage NLP for Product Data Science appeared first on Towards Data Science .
REA and ArtCraft are two projects driving a wave of AI-built clones that attempt to recreate Adobe and Microsoft software, letting developers reverse-engineer and rebuild commercial tools without access to the original source code.
In the final episode of Zero to Agent in 30 Minutes, AI engineer Sajal Sharma showed how to build a personal assistant on OpenClaw that tracks your tasks and notes and handles scheduled work on its own. A useful personal assistant has to…
Compare ChatGPT, Claude, and Gemini across the data science tasks that matter most to statisticians and analysts.
Re-reading my own IBM patent on real-time concert feedback as what it actually was: an agentic loop with multimodal perception, memory-grounded inference, and a human in the loop. What it got right, and what a decade of hindsight teaches…
Explore 10 Hugging Face models used across text, vision, audio, and retrieval in 2026.
Three vision AI models ignored the pretty image, yet GPT-4o invented answers and Claude kept answering B. The post I Built a Trap for AI Image Judges. They Walked Into a Different One. appeared first on Towards Data Science .
The following article originally appeared on the Agentic AI Foundation blog and is being reposted here with the author’s permission. Websites are designed for people. We can look at a page and quickly understand where to enter information…
Is this the JEV killer? The post A Practical Guide to OpenAI's New Decisions API appeared first on Towards Data Science .
Beyond basic ReAct loops: six production-oriented architectures for building autonomous, reliable, and scalable LLM agents. The post Agentic Systems: A Practitioner's Guide to 6 Advanced Architectural Patterns appeared first on Towards…