Prefill Is Compute-Bound. Decode Is Memory-Bound. Why Your GPU Shouldn’t Do Both.
Inside disaggregated LLM inference — the architecture shift behind 2-4x cost reduction that most ML teams haven’t adopted yet. The…
Category: General
From Pixels to DNA: Why the Future of Compression Is About Every Kind of Data
It’s not about audio and video anymore The post From Pixels to DNA: Why the Future of Compression Is About Every…
HYPE hits 2026 high as Hyperliquid volumes soar: Is the rally sustainable?
HYPE’s price soared to $45, but data show weak spot volumes and rising leverage use as signs that market momentum…
RAG Isn’t Enough — I Built the Missing Context Layer That Makes LLM Systems Work
Most RAG tutorials focus on retrieval or prompting. The real problem starts when context grows. This article shows a full…
Data Modeling for Analytics Engineers: The Complete Primer
The best data models make it hard to ask bad questions and easy to answer good ones. The post Data…
Gemini Robotics-ER 1.6: Powering real-world robotics tasks through enhanced embodied reasoning
Gemini Robotics ER 1.6: Enhancing spatial reasoning and multi-view understanding for autonomous robotics.
A Guide to Understanding GPUs and Maximizing GPU Utilization
In an age of constrained compute, learn how to optimize GPU efficiency through understanding architecture, bottlenecks, and fixes ranging from…
Human-machine teaming dives underwater
The electricity to an island goes out. To find the break in the underwater power cable, a ship pulls up…
How To Produce Ultra-Compact Vector Graphic Plots With Orthogonal Distance Fitting
Generate high-quality, minimal SVG plots by fitting Bézier curves with an ODF algorithm. The post How To Produce Ultra-Compact Vector…
“Too Smart for Comfort?” Regulators Battle to Control a New Type of AI Threat
This is not exactly a good time for regulators. The prevailing mood is: Wait, did things just get worse faster…
How to Apply Claude Code to Non-technical Tasks
Learn how to apply coding agents to all tasks on your computer The post How to Apply Claude Code to…
Range Over Depth: A Reflection on the Role of the Data Generalist
What has changed in the past five years in the role and importance of generalists in data teams The post…
I Built a Tiny Computer Inside a Transformer
By compiling a simple program directly into transformer weights. The post I Built a Tiny Computer Inside a Transformer appeared…
Stop Treating AI Memory Like a Search Problem
Why storing and retrieving data isn’t enough to build reliable AI memory systems The post Stop Treating AI Memory Like…
Write Pandas Like a Pro With Method Chaining Pipelines
Master method chaining, assign(), and pipe() to write cleaner, testable, production-ready Pandas code The post Write Pandas Like a Pro…
Your ReAct Agent Is Wasting 90% of Its Retries — Here’s How to Stop It
Most ReAct-style agents are silently wasting their retry budget on errors that can never succeed. In a 200-task benchmark, 90.8%…
“When Machines Start Thinking Too Much”: Why Experts Are Suddenly Worried About AI Going Rogue
Something has shifted in the air around AI. It is not a dramatic turn of events, the kind that usually…
Advanced RAG Retrieval: Cross-Encoders & Reranking
A deep-dive and practical guide to cross-encoders, advanced techniques, and why your retrieval pipeline deserves a second pass. The post…
Why Every AI Coding Assistant Needs a Memory Layer
AI coding assistants need a persistent memory layer to overcome the statelessness of LLMs and improve code quality by systematically…
Introduction to Reinforcement Learning Agents with the Unity Game Engine
A step-by-step interactive guide to one of the most vexing areas of machine learning. The post Introduction to Reinforcement Learning…
Washington Is Getting Ready to Slow AI Down. And This Has Nothing to Do with Politics
Something strange is happening in Washington. And no, it is not a new scandal. Government officials are in a frantic…
When Things Get Weird with Custom Calendars in Tabular Models
Since September 2025, we have had Calendar-based Time Intelligence in Power BI and Fabric Tabular models. While this feature offers…
A Guide to Voice Cloning on Voxtral with a Missing Encoder
Can we reconstruct audio codes if we have audio for the Voxtral text-to-speech model? The post A Guide to Voice…
How Does AI Learn to See in 3D and Understand Space?
How depth estimation, foundation segmentation, and geometric fusion are converging into spatial intelligence The post How Does AI Learn to…
A philosophy of work
What makes work valuable? Michal Masny, the NC Ethics of Technology Postdoctoral Fellow in the MIT Department of Philosophy, investigates the…
A Visual Explanation of Linear Regression
A long-form article featuring over 100 visualizations, covering a range of topics from how to build linear regression model, measure…
A Survival Analysis Guide with Python: Using Time-To-Event Models to Forecast Customer Lifetime
Understand survival analysis by modeling customer retention through Kaplan-Meier curves and Cox Proportional Hazard regressions. The post A Survival Analysis…
New technique makes AI models leaner and faster while they’re still learning
Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational resources. Traditionally,…
The Future of AI for Sales Is Diverse and Distributed
True creativity and innovation will come from human-agent collaboration. One human, millions of agents. The post The Future of AI…
Four-Day Workweeks and Robot Taxes? OpenAI’s Radical Vision for the AI Future Is Turning Heads
It sounds like a late-night conversation with friends, what if artificial intelligence becomes so capable that we simply start working…
Why AI Is Training on Its Own Garbage (and How to Fix It)
Deep Web Data Is the Gold We Can’t Touch, Yet The post Why AI Is Training on Its Own Garbage…
Detecting Translation Hallucinations with Attention Misalignment
A low-budget way to get token-level uncertainty estimation for neural machine translations The post Detecting Translation Hallucinations with Attention Misalignment…
How to Use Claude Code to Build a Minimum Viable Product
Learn how to effectively present product ideas by building MVPs with coding agents The post How to Use Claude Code…
Grounding Your LLM: A Practical Guide to RAG for Enterprise Knowledge Bases
A clear mental model and a practical foundation you can build on The post Grounding Your LLM: A Practical Guide…
Sixteen new START.nano companies are developing hard-tech solutions with the support of MIT.nano
MIT.nano has announced that 16 startups became active participants in its START.nano program in 2025, more than doubling the number…
Democratizing Marketing Mix Models (MMM) with Open Source and Gen AI
A practical system design combining open-source Bayesian MMM and GenAI for transparent, vendor independent marketing analytics insights. The post Democratizing…
From 4 Weeks to 45 Minutes: Designing a Document Extraction System for 4,700+ PDFs
How a hybrid PyMuPDF + GPT-4 Vision pipeline replaced £8,000 in manual engineering effort, and why the latest models weren’t…
Context Engineering for AI Agents: A Deep Dive
How to optimize context, a precious finite resource for AI agents The post Context Engineering for AI Agents: A Deep Dive appeared…
Helping data centers deliver higher performance with less hardware
To improve data center efficiency, multiple storage devices are often pooled together over a network so many applications can share…
The Geometry Behind the Dot Product: Unit Vectors, Projections, and Intuition
The geometric foundations you need to understand the dot product The post The Geometry Behind the Dot Product: Unit Vectors,…
How to Run Claude Code Agents in Parallel
Learn how to apply coding agents in parallel to work more efficiently The post How to Run Claude Code Agents…
Behavior is the New Credential
We are living through a paradigm shift in how we prove we are who we say we are online. Instead…
Proxy-Pointer RAG: Achieving Vectorless Accuracy at Vector RAG Scale and Cost
A new way to build vector RAG—structure-aware and reasoning-capable The post Proxy-Pointer RAG: Achieving Vectorless Accuracy at Vector RAG Scale…
A Data Scientist’s Take on the $599 MacBook Neo
Why it doesn’t fit my workflow but still makes sense for beginners The post A Data Scientist’s Take on the…
Building a Python Workflow That Catches Bugs Before Production
Using modern tooling to identify defects earlier in the software lifecycle. The post Building a Python Workflow That Catches Bugs…
Building Robust Credit Scoring Models with Python
A Practical Guide to Measuring Relationships between Variables for Feature Selection in a Credit Scoring. The post Building Robust Credit…
The Robot Uprising Didn’t Happen. But Something Worse Did
More than 50,000 tech employees have lost their jobs so far this year. Asked why, most will say the same…
Working to advance the nuclear renaissance
Today, there are 94 nuclear reactors operating in the United States, more than in any other country in the world,…
DenseNet Paper Walkthrough: All Connected
When we try to train a very deep neural network model, one issue that we might encounter is the vanishing…
I Replaced Vector DBs with Google’s Memory Agent Pattern for my notes in Obsidian
Persistent AI memory without embeddings, Pinecone, or a PhD in similarity search. The post I Replaced Vector DBs with Google’s…