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Recent ai headlines from Towards Data Science.
Your Agent Doesn't Need More Freedom
Three Samplers, One Posterior: NUTS vs. Emcee vs. Nested Sampling
Coding Agents Can Solve the Task — But How Much Work Did They Waste?
How to Leverage NLP for Product Data Science
We Specified an AI Agent in 2016. We Called It Analytics.
I Built a Trap for AI Image Judges. They Walked Into a Different One.

Measuring the Creativity Potential of LLM Agents
Our findings suggest the former. (b) Our framework for measuring P-creativity, H-creativity, and impact.This blog post…

How to Use a PINN for a Navier-Stokes Inverse Problem
Deep LearningHow to Use a PINN for a Navier-Stokes Inverse ProblemA from-scratch PyTorch build that recovers blood…

Where the Agent Development Lifecycle Fits
The article argues that the agent development lifecycle should be coordinated separately but in close alignment with…

How to Build a Control Plane for AI Agents
Agentic AIHow to Build a Control Plane for AI AgentsGiving an LLM permission to act, in 9 stepsAri Joury, PhDOctober…

Autoencoders vs. PCA: I Rigged the Test and PCA Still Won
The theoretical argument is clean: train the network only on normal data, and it learns to reconstruct normal patterns…

Can an Apartment Search Agent Call the Model Fewer Times and Still Find Good Matches?
They call these prompt adaptation, LLM approximation, and LLM cascade. The authors report that their cascade tries…

What the ReLU Revolution Revealed About Biological Plausibility
On the surface it's a narrow technical question, but the activation function is where the comparison with biology is…

Your AI Bill Is a Toll Booth. Stop Paying Twice.
Large Language ModelsYour AI Bill Is a Toll Booth. Stop Paying Twice.The budget nobody saw comingGursimar SinghOctober…

How Many Stories Can Your Data Tell?
Data ScienceHow Many Stories Can Your Data Tell?How the way we represent data can change what we think the data is…

Insight Is Still the Currency of Data Science
The article argues that data science should prioritize insight and discovery over code implementation, especially as…

How to Solve Issues When You Nest Measures While Overwriting the Same Filter
Power BIHow to Solve Issues When You Nest Measures While Overwriting the Same FilterIn DAX, we reuse existing measures…

Towards Spec-Driven Test Automation: Part 2
One real task, one real failure, the repair that followed, and the mistake I made writing the spec the first time. The…

I Compacted 1,000 Apache Iceberg Files Into 6. Here’s What Happened to Query Performance.
Data EngineeringI Compacted 1,000 Apache Iceberg Files Into 6. Here’s What Happened to Query Performance.Benchmarking…

AI Made Data Scientists Faster. Now It’s Expanding the Job.
Now It’s Expanding the Job.The real shift is bigger than productivity: AI is reshaping ownership, judgment, and the…

When All You Have Are Decoders, Every Decision Looks Like Generation
Routing is often a small decision hidden inside a large agentic system, yet many systems ask a decoder language model…

How to Design Architectural Guardrails Around AI Agents
The article discusses the critical security risks associated with AI agents, specifically highlighting the threat of…

Building Fair Evaluation Sets Is a Combinatorial Problem
Data ScienceBuilding Fair Evaluation Sets Is a Combinatorial ProblemHere’s how to solve it exactly.Vasileios…

How to Make Your Own JEV Model from an Open LLM
Artificial IntelligenceHow to Make Your Own JEV Model from an Open LLMTurn a small open-source Qwen LLM into a fast,…

Guided Merge Sort : An Optimized Sorting that Picks the Best from Ordinary and Multi-Way Merge Sort Algorithms
In contrast, guided K-merge keeps the required information with the help of multiple isomorphic code fragments, and…

The AI That Learned to Understand Long After It Stopped Trying
They trained a tiny neural network, far smaller than anything that gets called "AI" today, on one of the simplest…

How to Catch Data Drift When Every Feature Looks Normal
Numbers on the screen, AUC at 0.91, and everyone nodding along in the morning meeting because, for once, nobody had a…

GraphRAG with TypeSafe Jev: A System One Approach to Scalable Knowledge Graphs
The adds significant latency and cost to routine and repetitive ingestion, maintenance and retrieval tasks. Also, LLMs…

Good Architecture Deletes the Signals Your Agent Depends On
Software EngineeringGood Architecture Deletes the Signals Your Agent Depends OnEvery boundary you draw removes a…

Your LLM Has a Curved Space of Paragraphs
Large Language ModelsYour LLM Has a Curved Space of ParagraphsInside a transformer, token index is a coordinate.…

10 Things I’m Learning Beyond AI to Become More Technologically Fluent
In the process, we sometimes forget that AI is only one piece of a much larger technology landscape. Many of these may…

Your Model's MSE Is Lying to You: Part II
Deep LearningYour Model's MSE Is Lying to You: Part IIAutoregressive rollout and uncertainty propagation. You want to…

RAG Isn't an Agent — I Built the Layer Between Retrieval and Action
LLM ApplicationsRAG Isn't an Agent — I Built the Layer Between Retrieval and ActionRAG retrieves. I built both…

Jev vs. LLMs: When AI moves from Generation to Decision-making
Before the LLM writes anything1.1 What is Jev?1.2 Why I wanted to test it2. Using Jev efficiently7.1 Using Jev and an…

How to Maximize Your Coding Agent Subscriptions
This article will be a summary of my experiences with coding agents and how I get more out of my subscriptions, and…

Beyond RAGs: Building Actually Truthful AI Harnesses
LLM ApplicationsBeyond RAGs: Building Actually Truthful AI HarnessesRetrieval is not evidence. How to build AI that…

Towards Spec-Driven Test Automation: Part 1
The problem is that both the code and the tests come from the same reading of the same ambiguous sentences, which…

When the Correct Answer Is Nothing, What Does Your Pipeline Return?
Large Language ModelsWhen the Correct Answer Is Nothing, What Does Your Pipeline Return?The reliability mechanisms we…

I Trained a Tiny Network to Compress Data. It Drew a Pentagon.
Machine LearningI Trained a Tiny Network to Compress Data. It Drew a Pentagon.Reproducing Anthropic's "Toy Models of…

From Words to Vectors: What Happens in Between?
Or, put another way, how the machine is processing the language and generating a response? We have transformed it into…

How GRPO Trains Small Language Models with Verifiable Rewards
Branching paths represent possible responses, while the highlighted orange route symbolizes an answer that passes…

How to Make Your First World Model from Scratch
Artificial IntelligenceHow to Make Your First World Model from ScratchA beginner-friendly guide to building a world…

Break Your Own RAG Pipeline Before Users Do
A typical evaluation sends a well-written question to a tidy corpus and checks whether the retriever returns the…

Build a Speaker-Recognition App with Claude Code
This has greatly changed the domain of internal tooling. If you believe such internal tooling can help you become a…

4 Ways to Use AI on a PhD Thesis
The thesis write-up is an attempt at making sense of this mess — a daunting task if your PhD journey was anything like…

An Introduction to Jev
Give a coding model a specification, and it generates code. Give another model a document, and it generates a…

A New Kind of Model for AI Decision-Making?
Artificial IntelligenceA New Kind of Model for AI Decision-Making?Exploring TypeSafe's Jev and comparing it with…

GPT-6 Astra Just Hit OpenAI's Highest Cybersecurity Risk Level
A crystalline structure expands beyond a transparent measuring enclosure, reflecting the article’s discussion of GPT-6…

Google Offered $10M for a Dying Airline's Data. How Can You Value Yours?
Data GovernanceGoogle Offered $10M for a Dying Airline's Data. How Can You Value Yours?How to put a dollar value on…
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