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A new open-source guide catalogues visual tells of AI-generated design across websites, images, video, logos, and print, modeled on Wikipedia's Signs of AI writing. The project, hosted on GitHub under CC BY-SA 4.0, warns…
MIT researchers have developed an AI-based controller that enables a tiny flying robot to match the speed and agility of insects, performing demanding maneuvers like repeated body flips. The microrobot completed 10 conse…
Google Cloud COO Francis deSouza announced that AI-powered defenders now have a decisive advantage over attackers by leveraging deep enterprise context, citing the first known AI-built zero-day exploit documented by Goog…
The original source code for ELIZA, the first chatbot created by Joseph Weizenbaum in the mid-1960s, has been unearthed from MIT's archives and analyzed by researchers in the new MIT Press book 'Inventing ELIZA: How the …
Claire explains that a harness is code written around an AI agent to make it more effective at a specific job, and she walks through the custom Claude Agent SDK harness she built to automate Sentry bug triage at ChatPRD.…
In 2026, major AI answer engines still use backlinks as trust and provenance signals, according to an analysis by Prominara. Generative Engine Optimization (GEO) treats backlinks alongside unlinked brand mentions, struct…
Giles Thomas completed building and training a GPT-2 small model from scratch using JAX, achieving a test loss of 3.418784, outperforming both his PyTorch model (3.538161) and the original GPT-2 small (3.499677). The tra…
AI coding agents fail not because of code generation but because of incomplete specifications, as organizational knowledge is scattered across disconnected systems. The real bottleneck is the lack of a coherent, machine-…
A Pinecone Solutions Engineer developed a set of utilities for generating test data for vector search, including Parquet file generation, embedding creation, and metadata preparation. The tools aim to create realistic, s…
AI coding tools are reshaping software engineering, shifting focus from writing code to evaluating what to build and judging output quality. Anthropic's Mythos model found thousands of bugs but patched few, highlighting …
Hugging Face engineers reproduced a viral AI art project in which a language model trained with reinforcement learning writes JavaScript to paint watercolours, publishing all artifacts openly. The project, led by Surya N…
ClickGap, an autonomous QA agent built by ClickHouse, has filed roughly 500 issues and opened around 200 pull requests in the ClickHouse public tracker since its launch five months ago, with more than half of the issues …
Anthropic member of technical staff Yifan Yang reported that a CUDA-core fp32 GEMM kernel on an Nvidia V100 GPU reached 10.7 TFLOPS, or 88% of cuBLAS's 12.1 TFLOPS, using only two optimizations over a naive implementatio…
Roboflow published a guide detailing how manufacturers should run computer vision inference at the edge rather than in the cloud, citing a standard cloud round trip of 100-300 ms, roughly 1.49 Gbit/s of raw video per cam…
Machine unlearning, the process of making AI models forget specific data without full retraining, is a difficult problem because neural networks store information in entangled weights, and exact methods like SISA are imp…
Bongard problems, visual puzzles that challenge AI to identify latent properties distinguishing two sets of images, remain a benchmark for visual reasoning, as highlighted in a new essay revisiting Douglas Hofstadter's 1…
Engineers can now understand the transformer architecture behind large language models through a plain-English guide that explains how words become vectors, layers move points, and attention mechanisms allow context-awar…
Rohin Shah, head of AGI alignment and safety at Google DeepMind, argued in a recent interview that catastrophic misalignment from advanced AI is not the likely default outcome, despite acknowledging plausible risks that …
The collapse in the cost of executing human intent, not the emergence of artificial consciousness, is driving the perception that artificial general intelligence has arrived. As knowledge work shifts from execution bottl…
A developer built a single private Git repository with common/, work/ and personal/ profile folders to keep a Claude Code configuration in sync across a work Mac and a personal Linux machine. The setup uses a CLAUDE.md s…