The paper proposes a dynamic approach to image encryption, combining the use of Convolutional Neural Networks (CNNs) and classical cryptography to improve the security and flexibility of image encryption. The main concept is to create adaptive Substitution boxes (S-boxes) based on characteristics that are learned by a trained CNN. The CNN-based S-boxes can be relied on for more non-linearity, uniqueness, and input image dependence than the conve... Read more ›
AutoJack is a novel exploit chain showing how a single malicious webpage can turn an AI browsing agent into a remote code execution vector on the host machine. By abusing trust in localhost, missing authentication, and unsafe parameter handling, attackers can trigger arbitrary process execution through AutoGen Studio’s MCP WebSocket. The research highlights a broader pattern - when agents can browse untrusted content and access local services, traditional boundaries like localhost are no long... Read more ›
It’s been a year since I retired — my was June 6, 2025 — and I like being able to say that I’ve spent the year adding nothing, not one penny, to shareholder value. 🌴 * * * My hope for retirement was to get a lot of work done on NetNewsWire. A year ago it was in sore need of modernization, tech debt pay-off, and bug fixes. People were asking for features, but the foundation needed a ton of work before I could get on to adding new rooms. Here are some highlights of what we’ve done with 2,188 co... Read more ›
Learn how modern AI evolved from simple language models to Transformers, reasoning models, and ChatGPT through practical examples and diagrams. Read more ›
The interesting thing to me about software was the infinite canvas it presented in tension with the speed of light constraints that the hardware might impose. Read more ›
GenDB is a Generative Query Engine that uses LLM agents to generate instance-optimized query execution code, tailored to your specific data, workloads, and hardware. Read more ›
Accurate prediction of dust source emissions is critical for mitigating the significant environmental and health hazards posed by dust storms. Traditional forecasting methods often struggle to capture the complex spatiotemporal dynamics of these phenomena. In this paper, we demonstrate that proximity graphs enable Graph Neural Networks (GNNs) to effectively model the intricate spatial and temporal relationships between data points. Specifically,... Read more ›
GPT-2-style LLM built from scratch in C/CUDA with hand-written backprop, BPE tokenizer, FlashAttention, pretraining, and SFT. - JustVugg/nanoeuler Read more ›
How I built a live solar panel and battery simulation in Home Assistant using real lux and power sensors, to answer whether balcony solar is worth it before spending the money. Read more ›
June 16, 2026 · Industrial & Manufacturing Read more ›
A list of Free Software network services and web applications which can be hosted on your own servers Read more ›
Dense retrieval has become the dominant paradigm in information retrieval, in which each document is scored against a query by the inner product of their vector embeddings, and the top-$k$ documents by score are retrieved for this query. However, since each document's score depends solely on the embedding of the query and itself, the retrieval process is oblivious to the content of the entire corpus. Therefore, dense retrieval cannot avoid selec... Read more ›
Deep learning has managed to evade numerous intuitions from classical statistics to achieve unprecedented performance on a number of real-world tasks. In this article, we investigate the key features and surprises of deep learning from a physics-informed perspective, taking care to point out and justify where possible the many choices inherent in constructing a deep learning model. In particular, we review the phenomenon of neural scaling laws a... Read more ›
Despite an Executive Order banning the development of a wholesale CBDC, the US Federal Reserve is contributing to the Bank for International Settlement's CBDC project. Read more ›
Tool for exploring & filtering one author's Large Language Models (LLMs) on HuggingFace. Features quick search & custom sorting. - NetroScript/huggingface-llm-filtering Read more ›
Large language model (LLM)-powered tools such as ChatGPT are increasingly used in collaborative software engineering workflows, yet little is known about how prompt structure influences downstream pull request (PR) outcomes. Prior studies primarily examine conversational helpfulness, productivity, or coarse-grained adoption metrics, leaving the role of prompt structure in collaborative integration behavior insufficiently understood. We analyze 2... Read more ›
There’s a particular kind of pressure that comes with maintaining software at the very bottom of someone else’s stack. ClickHouse lives in exactly that spot: roughly 1.5 million lines of mostly C++ and tens of millions of tests every single day. So what happens when you start introducing Rust into a codebase like that? Not as a rewrite, but linked into a C++ server with a CMake build process that has to be reproducible and FIPS compliant? In today’s episode, we get into the messy, interesting... Read more ›
The Tesla flywheel and why we won’t get the Humanoid butler anytime soon Read more ›
French serial entrepreneur and open-source legend Jean-Baptiste Kempf has been building Kyber, an infrastructure layer to control remote devices in real time. Read more ›