Friday — October 3, 2025
AI-assisted tools uncover potential security flaws in curl, Meta will use AI conversations to personalize ads starting December 16, and researchers introduce the Dragon Hatchling, a new Large Language Model architecture inspired by the brain's biological networks.
News
Potential issues in curl found using AI assisted tools
Here is a 2-sentence summary of the text: Joshua Rogers used AI-assisted tools to find a large number of potential issues in the curl code, including smaller bugs and possible security flaws, and the curl team has already fixed 22 of these issues. The discovery and fixing of these issues demonstrate the potential of AI tools to aid in code analysis and improvement when used by competent individuals, and the curl team is continuing to work through the remaining issues found by Rogers' tools.
How the AI Bubble Will Pop
Artificial intelligence is expected to have a significant impact on the world, but the current investment in AI infrastructure, projected to exceed $500 billion in 2026 and 2027, may be unsustainable and indicative of an economic bubble. The massive spending on AI, which is largely concentrated in a few large companies and geographies, is warping the economy and diverting capital away from other areas, with some experts warning that the bubble may eventually pop, leading to a reckoning in the tech industry and beyond.
Meta will listen into AI conversations to personalize ads
Meta will begin using conversations and interactions with its AI services to create personalized content and advertising, starting December 16, 2025, although users in the EU, UK, and South Korea are exempt. The company claims it won't use sensitive topics like religion, health, or race to personalize ads, but critics argue this move could reduce transparency and make it harder for brands to audit ad effectiveness.
Email immutability matters more in a world with AI
The increasing use of AI in products, including writing tools, is changing the way information is created and consumed, and raises concerns about the manipulation of history and truth. In this context, the immutability of email, which cannot be revised after being sent, becomes a valuable asset for preserving a record of the past, and companies like Fastmail are committed to protecting user data and privacy while adapting to the changing world of AI.
Solveit – A course and platform for solving problems with code
The "Solveit" platform and course, founded by Jeremy Howard and Eric Ries, teaches iterative problem-solving skills using a combination of human understanding and optional AI assistance, based on a decades-old framework inspired by mathematician George Polya. The platform offers a unique set of tools, including a persistent terminal, collaborative notebook coding, and AI-powered features, and will be available for a limited time starting October 20th, with a five-week course and ongoing access to the platform.
Research
The Missing Link Between the Transformer and Models of the Brain
The Dragon Hatchling (BDH) is a new Large Language Model architecture inspired by the brain's scale-free biological networks, offering strong theoretical foundations, interpretability, and performance comparable to Transformer models like GPT2. BDH's biologically plausible design, which relies on synaptic plasticity and Hebbian learning, allows for interpretability of state and demonstrates monosemanticity in language tasks, making it a promising approach to achieving Universal Reasoning Models.
Dragon Hatchling: The Missing Link B. The Transformer and Models of the Brain
The Dragon Hatchling (BDH) is a new Large Language Model architecture inspired by the brain's scale-free biological networks, offering strong theoretical foundations, interpretability, and performance comparable to Transformer models like GPT2. BDH's biologically plausible design, which relies on synaptic plasticity and Hebbian learning, allows for interpretability of state and demonstrates monosemanticity in language tasks, making it a promising approach to achieving more human-like language understanding.
Implementing OpenMP for Zig to enable its use in HPC context
Zig, a programming language that offers high performance and modern features like memory safety, has been extended to support OpenMP, a widely-used threaded programming technology. The added support enables Zig to achieve performance comparable to, or exceeding, conventional HPC languages like C and Fortran, making it a viable option for high-performance computing applications.
"We Have No Idea How Models Will Behave in Production Until Production": ML Ops
Machine learning engineers (MLEs) play a crucial role in deploying and maintaining machine learning models in production, requiring proficiency in both data science and engineering. Through interviews with 18 MLEs, researchers identified a workflow involving data preparation, experimentation, evaluation, and monitoring, as well as key challenges and virtues, including the "3Vs" of velocity, visibility, and versioning, that are essential for successful ML deployments.
Shelby: Decentralized hot storage protocol competitive with AWS S3 performance
Existing decentralized storage protocols are unable to meet the demands of real-world applications due to limitations in throughput, latency, cost-effectiveness, and availability, forcing Web3 applications to rely on centralized infrastructure. Shelby is a high-performance decentralized storage protocol that addresses these issues, providing fast and reliable access to large volumes of data while maintaining decentralization guarantees and offering Web2-grade performance for production-scale Web3 applications.
Code
Show HN: Pluqqy – Terminal based context management tool for AI coding
Pluqqy is a terminal-based tool that allows users to build and manage minimal viable context for AI coding assistants, creating reusable components and combining them into pipelines that generate a single source of truth for instructions. The tool provides a comprehensive set of CLI commands for managing pipelines and components, supporting multiple output formats and global flags, and can be installed and updated using Git and Make commands.
Show HW: Tail, a terminal dashboard for your Pipecat voice agents
Tail is a terminal dashboard for the Pipecat voice and multimodal conversational AI framework, allowing users to monitor sessions in real time with features such as logs, conversations, metrics, and audio levels. It can be installed via Python and used as either a pipeline runner or a standalone application, providing a centralized interface to track and manage Pipecat sessions.
Show HN: Running QR codes for YouTube audio (share moments with a scan)
This script generates a video with continuously updating QR codes that point to the current timestamp of an audio file on YouTube, allowing viewers to scan the QR code and jump to that exact time. The script requires Python 3.9+, ffmpeg, and several Python dependencies, and can be used to create bookmarkable and shareable moments in long podcasts, lectures, or interviews uploaded to YouTube.
Craftgpt: Small language model built in Minecraft
CraftGPT is a small language model designed to run in Minecraft, but it has limitations such as often going off topic, producing grammatically incorrect responses, and having a small context window. To run CraftGPT, users need to install MCHPRS, a required component for reasonable performance, and follow specific instructions to set up and compile the model, which can still take hours to generate a response even with optimization.
QuakeAI: AI Development for Quake3 Arena Matches
Quake A.I. is a research project that aims to create customized, challenging games for every player by using AI techniques to analyze player skills and adapt the game accordingly. The project is currently in development, with a Quake3 mod already created, and has a roadmap that includes moving to a professional game engine, improving AI editing and analysis tools, and introducing machine learning to create a competitive AI agent.