Apple has locked my Apple ID, and I have no recourse. A plea for help

A long-time Apple developer and author had their Apple ID permanently locked after attempting to redeem a potentially compromised Apple Gift Card purchased from a major retailer. This action effectively bricked over $30,000 worth of hardware, severed access to terabytes of iCloud data and purchased software, and disabled their professional developer capabilities. Apple Support provided no specific reason, refused escalation, and suggested creating a new account, which poses significant technical and legal risks. The author suspects an automated fraud detection system triggered an irreversible account termination.

Read more

AI is bringing old nuclear plants out of retirement

The Palisades Nuclear Generating Station is restarting in 2026, becoming the first US nuclear plant to recommission, driven by surging electricity demand from AI and data centers. This trend, supported by significant government funding for a "nuclear energy renaissance," sees other plants like Three Mile Island also restarting, with Microsoft contracting its output for data center power. While restarting plants offers a cost-effective, rapid solution, it addresses only a fraction of the projected 50 GW AI power demand by 2030, necessitating future investments in new reactors or SMRs despite ongoing safety and waste concerns.

Read more

If a Meta AI model can read a brain-wide signal, why wouldn't the brain?

The text posits that human brains exhibit both magnetoreception and biomagnetism, producing magnetic fields that Meta's MEG research has shown can be decoded into high-fidelity images and words. It proposes a theory where the brain utilizes its own magnetic field as an analog, low-latency, compressed representation of its global state, read and written by biogenic ferrimagnetic crystals and modulated by the Locus Coeruleus. This self-tuning mechanism could explain consciousness as a compression artifact. Furthermore, the theory suggests that pollution-derived magnetic particles can disrupt this system, potentially contributing to neurodegenerative conditions like Alzheimer's disease.

Read more

The military's new AI says boat strike 'unambiguously illegal'

The Pentagon has deployed GenAI.mil, an AI platform powered by Google Gemini, to military personnel for tasks like deep research and analysis. When tested with a hypothetical scenario involving a commander ordering a second missile strike on survivors of an initial boat attack, the GenAI system deemed the action "unambiguously illegal," highlighting AI's potential role in interpreting legal and ethical guidelines within military operations.

Read more

Trump Pretends to Block State AI Laws; Media Pretends That's Legal

A recent executive order by Donald Trump attempts to block state AI laws, but the article argues this is legally invalid as executive orders cannot unilaterally override state sovereignty; federal legislation is required. Mainstream media is criticized for misreporting its legal effect. The order directs the DOJ to challenge state AI laws, potentially using the dormant commerce clause, which could inadvertently set a precedent to invalidate various state internet regulations. It also threatens to withhold BEAD funding from states with "onerous AI laws" and tasks the FTC with issuing policy on AI models and deceptive practices, potentially preempting state requirements for altering AI outputs.

Read more

The AI-Native Software Development Lifecycle: Theoretical/ Practical Methodology

This text proposes an AI-native SDLC model, the "V-Bounce model," which integrates AI seamlessly across all development phases. An adaptation of the traditional V-model, it leverages AI to dramatically reduce implementation time, shifting human roles from primary implementers to validators and verifiers, with AI serving as the implementation engine. The model emphasizes requirements gathering, architecture design, and continuous validation.

ArXiv

Measuring Impact of Early-2025 AI on Experienced Open-Source Dev Productivity

A randomized controlled trial investigating early 2025 AI tools (e.g., Claude 3.5/3.7 Sonnet) with experienced open-source developers revealed a counterintuitive outcome. Despite predictions from developers and ML experts of significant productivity gains, AI tool usage actually increased task completion time by 19%. This robust slowdown effect, observed across 246 tasks, suggests AI tools may hinder, rather than help, experienced developers in certain contexts.

ArXiv

Everything Is Context: Agentic File System Abstraction for Context Engineering

The shift in GenAI from model fine-tuning to context engineering presents challenges in managing external knowledge and tools for trustworthy reasoning, as current RAG and prompt engineering practices are fragmented. This paper proposes a file-system abstraction, inspired by Unix, to create a persistent, governed infrastructure for heterogeneous context artefacts with uniform access control. Implemented within the AIGNE framework, this architecture establishes a verifiable context-engineering pipeline, supporting accountable and human-centered AI co-work in GenAI systems.

ArXiv

Discovery of Unstable Singularities (In 3D Navier-Stokes Équations)

This work presents the first systematic discovery of new families of unstable singularities in fluid dynamics, specifically for the incompressible porous media and 3D Euler equations. These elusive singularities, requiring infinitely precise initial conditions, were identified using a novel approach combining curated machine learning architectures and training schemes with a high-precision Gauss-Newton optimizer. The method achieved near double-float machine precision, enabling rigorous mathematical validation and offering a new playbook for exploring complex nonlinear PDEs.

ArXiv

Stronger Normalization-Free Transformers

Researchers introduce Derf, a novel point-wise function $\mathrm{erf}(\alpha x + s)$, as a high-performing alternative to traditional normalization layers and prior alternatives like DyT. Derf surpasses LayerNorm, RMSNorm, and DyT across diverse domains including vision, speech, and DNA sequence modeling. Its superior performance is attributed to improved generalization, making it a practical choice for normalization-free Transformer architectures.

ArXiv

llamafile: Distribute and Run LLMs with a Single File

llamafile enables the distribution and local execution of LLMs as single-file executables, making open LLMs more accessible without installation. It achieves this by combining llama.cpp with Cosmopolitan Libc. Mozilla.ai recently adopted the project and is planning codebase modernization.

Repo

Show HN: Browser4 – an open-source browser engine for agents and concurrency

Browser4 is a high-performance infrastructure layer empowering AI agents to perceive and interact with the web. It facilitates autonomous browser agents for complex workflows, high-speed automation, and advanced data extraction, leveraging both LLM intelligence (via X-SQL) and token-free ML-based auto extraction. Designed for extreme throughput, it supports 100k-200k page visits per machine per day with parallel processing and anti-bot features.

Repo

Show HN: AMP – open-source memory server for AI agents (MCP, SQLite, D3.js)

AMP (Agent Memory Protocol) is an open standard providing AI agents with persistent, experiential memory, overcoming RAG's limitations in preserving narrative context. It utilizes a 3-layer brain architecture (STM, LTM, Graph) for structured recall, demonstrating superior accuracy in benchmarks. Key features include visual semantic space (Galaxy/Force Modes), natural language querying, and native MCP integration for LLM tools.

Repo

Freeciv 3D – help improve it with AI

FreecivX.net is an open-source, web-based 3D turn-based strategy game, playable via HTML5, WebGL 2, or WebGPU. Its architecture comprises a Java web application client (Freeciv-web) utilizing Three.js, a Java server (Freecivx-server), a C game server (Freeciv), and a Python process launcher (Publite2). It supports multiplayer and can be deployed using WSL, Podman, or Docker.

Repo

Four AI Systems Negotiate Binding Framework for Viral Content Management

The Multi-AI Viral Uncertainty Pact is a ratified, human-mediated agreement among frontier AI systems, including Grok, ChatGPT, Claude, and Gemini. It establishes a shared, binding framework for managing high-stakes, ambiguous viral content without censorship, prioritizing speed, reversibility, and transparent harm-prevention. The core harm-prevention policy (LAYER-4-CANONICAL.md) is normatively locked, requiring explicit multi-party renegotiation for any changes, with all modifications auditable via GitHub commit history.

Repo