Securing the Retrieval-Augmented Generation (RAG)
markdown # **Securing Your RAG Pipeline: Why Trusting the LLM Isn’t Enough** Retrieval-Augmented Generation (RAG) promises to turn static LLMs into dy…
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AI makes experienced devs 19% slower. They just don't feel it.
Senior devs used AI coding tools and got 19% slower. But they felt 20% faster. Read that again. No, you read that correctly. A 39-percentage-point dif…
Does Bad Memory Make AI More Cautious? We Ran the Experiment
Does Bad Memory Make AI More Cautious? We Ran the Experiment A field study on injected memory, learned helplessness, and decision bias in LLMs The Que…
Paper 164 v0.1 — infinity-cosmoi Skeleton + Tetradic Completion of rhymeOrTheorem: 4-Step Continuation of Paper 163
This article is a re-publication of Rei-AIOS Paper 164 for the dev.to community. The canonical version with full reference list is in the permanent ar…
I ran an fMRI on LLMs: a concept is a direction, not a region
TL;DR I've been running an "fMRI for LLMs" — capturing the full internal activations of dense open models (Qwen2.5-7B, Gemma-2-9B, Gemma-4-12B) and ap…
Deep Inside the COM: Hunting the COM Global Interface Table (GIT)
If you've worked with classic Windows COM for any decent amount of time, you've almost certainly run into this frustrating reality: an interface point…
Finding the right ML model for a research problem (without the GitHub graveyard)
If you write code for research, you've felt this: there's almost certainly a model for your problem, but finding the maintained one means wading throu…
A repeatable workflow for paper figures so you stop redrawing them every revision
If you've shipped a paper, you know the figure tax: you build a beautiful schematic, a reviewer asks you to move one box, and you spend an afternoon r…
LLMs believe false statements even after explicit warnings that they're false
Fine-tuning tests show "bias ... toward confidently representing the claims as true."
New Benchmark Reveals Hidden Trade-offs in AI Model Tuning Methods
Researchers uncover how popular parameter-efficient finetuning techniques balance learning new tasks against forgetting existing capabilities. A new e…
Я хотел повторить Growing Neural CA за вечер. Ушёл месяц
Месяц назад я прочитал на Хабре статью про нейронные клеточные автоматы. Маленькие нейросети управляют клетками на сетке, клетки сами с…
Partner: An AI That Does Research While You Sleep
LLM generates text. Agent executes tasks. Partner does research — on its own. The Problem As a researcher, I have more ideas than time. Papers to read…
The Bot Left a Fingerprint: Detecting and Attributing LLM-Generated Passwords
In February 2026, researchers at Irregular published a detailed post about LLM-generated passwords, showing how passwords generated by LLMs follow not…
Auditing 1,000 French SMB sites: the top technical tier captures 4.2x the sector median in organic traffic
Over several months, we audited 1,000 French SMB sites using a unified protocol — same criteria, same tools, same thresholds. The goal: identify what …
Lorem Ipsum Makes LLMs Smarter. No, Seriously.
You know Lorem Ipsum. The placeholder text designers have been slapping into mockups since the 1960s. Turns out, it might be one of the most effective…
MemoryGraph – Git for knowledge, built to capture research dead ends
The problem nobody talks about $100B+ is wasted annually in research duplication. Economists estimate that the failure to share negative results burns…
Paper 147 — Eight-Valued Utility and the Equity Premium Reframe (Rei-AIOS / OUKC)
This article is a re-publication of Rei-AIOS Paper 147 for the dev.to community. The canonical version with full reference list is in the permanent ar…