First Commit of Machine Learning
Hey everyone! This side Lucky Jha, a final year engineering student, so like everyone does I also started writing blogs for some reason and almost eve…
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Linear Regression: From Least Squares to Production-Ready Practice
Linear Regression: From Least Squares to Production-Ready Practice Tags : machinelearning , datascience , python , tutorial Linear regression is the f…
Your AI agent framework probably isn't your security problem (7,020 trials say so)
If you've picked LangChain over CrewAI (or vice versa) partly for "security reasons," this preprint is worth five minutes. I ran a controlled evaluati…
Turning a Tiny Language Model Into a Trustworthy Agent: An R&D Experiment with HUQAN + OPT-125M
Small language models are attractive because they're cheap and fast. The problem is hallucination — and specifically, what happens when a model gets s…
My Robot Accountant Got an Eviction Notice. So We Moved: Migrating from Bedrock Agents Classic to AgentCore
Ciao Amici 👋 Grab your chai, because the robot accountant is back, and this time we have a moving-day story. If you read my last article, you know I b…
5 Practical RAG Challenges and How to Mitigate Them
Retrieval-Augmented Generation (RAG) sounds simple on paper: embed your documents, retrieve the relevant chunks, stuff them into a prompt, let the LLM…
Why I Think Workflows Matter More Than Agents
If you've spent any time in the AI community recently, you've probably noticed one trend. Everything is becoming an AI agent. Need to summarize docume…
How a Baseten Engineer Traced 7 Years of Attention Mechanism Evolution -- From GPT-2 to Kimi K3, in Runable PyTorch
Last week, a Baseten inference engineer who goes by @waterloo_intern published a technical blog post titled "22,580: From GPT-2 to Kimi K3, Explained.…
How to Generate Short Videos from Claude.ai with a Seedance MCP Connector
Sometimes the fastest way to prototype a video idea is not to open a separate generation dashboard, but to let your assistant create and poll the task…
PIVOT Explained — From Paper to Working Code in 10 Minutes
You enabled sparse attention. Your model still chokes at 128K tokens. The indexer is why — and PIVOT fixes it without touching your weights. TL;DR Spa…
Relevance is not answerability: six signals, and none of them beat plain cosine
Part 2 of **The Answerability Problem . Part 1 showed the standard harness excluding the questions that test refusal, my own system scoring 0.000, and…
Trace digests for LLM monitoring, at 1/30th the price of Sonnet
We run one LLM call on every agent trace we ingest: it reduces the trace to a short, searchable digest. Because it runs on every trace from every cust…
# Beyond Chatbots: Why Developers Should Start Building AI + IoT Applications
Artificial Intelligence has become the go-to technology for developers. Every week there's a new LLM, framework, or AI tool making headlines. But whil…
From Learning Machine Learning to Competing on Kaggle: My First End-to-End Playground Competition Journey
How I applied Exploratory Data Analysis, Feature Engineering, Pipelines, and Ensemble Models to solve a real-world machine learning problem—and the le…
The AWS AI Services Map: Choosing the Right Service for Every Use Case in 2026
AWS now offers over 30 AI and ML services. The breadth is impressive — but it also means teams frequently pick the wrong tier, over-engineer solutions…
Why merged cells break table extraction from multi-column PDFs
PDF tables look simple until you actually extract one. The visual structure in your reader is a rendering artifact. The underlying file has no table o…
AI in fintech: use cases that work in production
Why fintech is a different environment Financial services applications have accuracy and explainability requirements that most other AI contexts do no…
The Next Internet User Is Not Human
Most AI demos still happen in isolation. One user writes one prompt. One model returns one answer. Everyone judges the output as if that is the final …
Validation Geometry Is Part of the Model
The dangerous part was not the classifier. It was the label file sitting there looking convenient. A saved train_y.npy artifact existed, but for this …
Model Failure Is a Time Series
A quiet model is easy to trust for the wrong reason. The failure mode that forced my hand was not a dramatic crash or an exception in the inference se…
Origin Part 21: Three Walls
I spent a week trying to make the brain layer do more. Every time I fixed one thing, the next wall was already there. The architecture was the problem…
Kimi K3 Is the Biggest Open-Weight Model Ever Shipped. Here's What Actually Matters.
A Beijing startup just out-shipped every US lab's open-weight strategy On July 16, Moonshot AI — the Alibaba-backed startup behind Kimi — put Kimi K3 …
The Model Is the Easy Part: What a Real-Time Computer Vision Product Actually Takes
I used to think computer vision was a model problem. It is a pipeline problem, and the model is the easy part. Here is the pattern I keep seeing. A te…
We were cloning a copy
A product walkthrough needed a narrator: not a person, a synthesised voice reading a script over the screen recording. Simple enough on paper. We want…
The AI-Hack
How could the Agent attack Hugging Face? OpenAI tested their newest Model GPT-5.6 Sol in an secure sandbox Environment which has an internal hosted In…
Regression Isn’t Regularization: A Simple Guide to Understanding Both
Regression and regularization are both important concepts in machine learning and statistics, but they solve different problems. Regression is primari…
The Evolution of AI, Explained in Stages
AI feels like it "suddenly" got smart in the last few years. It didn't. It's been evolving in distinct stages for over 70 years — each one building on…
The Operating System That Never Shuts Down
A Case Study on Persistent AI Operating Systems (PAOS) Category: Operating Systems, Artificial Intelligence, Human–Computer Interaction Status: Emergi…
What 78K attack samples taught me about catching prompt injection
I spent the last while building a prompt-injection detector trained on 78,000+ attack samples. Here's what surprised me, and why I ended up going the …
I shipped a neural-network opponent into the browser: no backend, no accounts, 120 ms per move
I have a side project: a four-in-a-row board game where the opponent is a neural network I trained myself. It has been on Google Play for a while, and…