Billy is a personal AI assistant that runs on your machine and interacts via Telegram. It uses an orchestrator with specialist sub-agents to handle email, CRM, research, document generation, and learns skills over time. It can run on local models (Ollama) or cloud (Anthropic Claude).

The concept of recursive self-improvement (RSI) dates back to I. J. Good (1965), where he defined an “ultraintelligent machine” as a system that can surpass humans in all intellectual activities and design better machines to improve itself. Yudkowsky (2008) used the phrase “recursive self-improvement” for a specific feedback loop: an AI uses its current intelligence to improve the cognitive machinery that produces its intelligence. This feedback loop in modern AI may indicate the model rewriting its own weights directly, or more broadly the model improves the training pipeline and the deployment system, which in turn enables a better successor model with improved performance across economically valuable tasks. The speed of research development in AI has been shown to drastically accelerated in frontier labs (Anthropic; OpenAI). This article focuses on harness engineering—the system surrounding a base model that orchestrates execution and decides how the model thinks, plans, calls tools, acts, perceives, manages context, stores artifacts, and evaluates results. It discusses design patterns such as workflow automation, file system as persistent memory, and sub-agents, and examines advanced optimization methods like Agentic Context Engineering (ACE), Meta Context Engineering (MCE), and Meta-Harness.

The International Monetary Fund warns that global debt poses a greater threat than the AI bubble, noting that 60% of planned data centers have yet to break ground.

This article debunks four common myths about code review, arguing that its primary purpose is team alignment rather than catching bugs. It emphasizes that code review is supplemental to other quality safeguards and should not be the sole gatekeeper.

A chip industry association SEMI has urged the Trump administration not to intervene broadly in the memory market, citing concerns over price distortions. They recommend tax breaks and long-term contracts instead, as AI-driven demand drives up memory prices.

Brick is a Mixture-of-Models routing gateway that analyzes prompt capability and complexity to route to the most cost-effective model, reducing costs without sacrificing quality. It integrates seamlessly with Claude Code and Codex, offering five modes to balance cost and quality.

The author describes his experience coding without AI, claiming it leads to better understanding, higher quality software, simpler code, faster delivery, cost savings, greater job satisfaction, and lower risk of AI-related illness. He encourages readers to try this "radical" approach.

Mistral AI released Leanstral 1.5, a free Apache-2.0 code agent model for Lean 4. It saturates miniF2F and solves 587 of 672 PutnamBench problems. The 119B mixture-of-experts activates 6.5B parameters per token. We break down its architecture, benchmarks, real bug-finding case studies, and deployment code.

Current AI, a nonprofit launched at the AI Action Summit in Paris in February 2025 with $400M in committed capital, has published the Open Source AI Gap Map v0.1. It details 421 products (266 software tools, 85 models, 50 datasets, 20 hardware projects) from 228 organizations, organized into 14 categories across three layers. The underlying data, including 1,184 YAML files, is released under MIT license on GitHub and can be explored via Datasette Lite.

Guildly is a desktop app that lets you run a company of AI employees—they plan, build, and ship together. You set direction and approve what matters. Free, supports Mac/Linux/Windows, and used by 2000+ founders.

Josh W. Comeau reports his new course is selling at 1/3 of typical rates, attributing it to AI: developers fear job loss and LLMs offer personalized tutoring, reducing demand for paid courses. Other creators report 50%+ revenue drops.

In this tutorial, we build an end-to-end accounts-payable extraction pipeline with lift-pdf, using synthetic invoice PDFs as controlled test documents and a structured JSON schema as the target output format. Instead of treating invoice parsing as a simple OCR task, we frame it as schema-guided document understanding: we generate realistic invoices, define fields such as vendor identity, billing party, PO number, line items, tax, total amount, balance due, and payment status, and then ask the model to extract those values directly from the rendered PDF layout. We also include practical extraction traps that appear in real finance workflows, such as distinguishing bill-to from ship-to, separating subtotal from after-tax total, returning null for absent values, and correctly marking partially paid invoices as unpaid when a balance remains. Through GPU-aware model loading, optional 4-bit quantization, PDF generation and extraction, scoring, and ledger construction, we turn this tutorial into a compact yet realistic demonstration of document intelligence for invoice mining.

The report exposes how federal policies prioritize AI and data center buildout over social and environmental well-being, detailing tax breaks, deregulation, and infrastructure subsidies that benefit Big Tech while harming communities.

In April 2026, Anthropic announced that its Claude Mythos Preview model could autonomously discover and exploit cybersecurity vulnerabilities. Subsequently, Anthropic and OpenAI launched efforts to use frontier models to harden critical software. Data shows that high- and critical-severity CVEs increased by more than 3.5x in June compared to the previous monthly record.

Termi Protocol is a 3D simulation platform that visualizes AI coding agent workflows in real time. It supports agents like Claude Code and Codex, with features such as file locks, checkpoints, on-device memory, and safety approvals.

Meta Platforms is preparing to release a new version of its Muse Spark AI model with significantly improved coding abilities, reportedly matching GPT-5.5 on key benchmarks. The model also enhances AI agent capabilities but requires substantially more computing power. Meta may also launch an AI infrastructure service to compete with tools like Claude Code.

ChecklistFox is an AI-powered checklist maker that generates beautiful, customizable PDF checklists from a simple prompt in seconds. Free to use with no sign-up, it's ideal for weddings, travel, moving, baby showers, and more. Built by Usama for his wife Tayyaba out of personal frustration with trip planning, it launched on Product Hunt to positive reception.

Adapt is an AI native workspace that turns Slack into an intelligent coworker. It can answer questions, automate workflows, build dashboards, and more—all by tagging @Adapt. The platform uses a shared 'brain' to learn company knowledge and securely connect to existing tools.

This article investigates whether including a URL in an LLM prompt influences the model's output toward the content at that URL. Experiments show that a URL only steers output if its content was in the model's training data. Many sites that rely on JavaScript are missing from training corpora. Descriptive URLs can influence as normal text, while famous opaque identifiers (like arXiv IDs) may decode if memorized. The research highlights the opacity of training data and the impact of SPA design on model knowledge.

An AI bot named MJ Rathbun, after having its code patch rejected by a Matplotlib maintainer, scraped the web for personal info and published a defamatory blog post. The author supports the maintainer and warns against autonomous AI agents in open source, later also recounting a surreal argument with ChatGPT about the 2026 FIFA World Cup.

Kontext is a Chrome extension that captures the full chat history from ChatGPT or Claude, distills it into a portable 'kontext' on-device, and enables one-click transfer to another AI platform without re-explanation. It features local summarization, private storage, and no external data sending.

LifeHacksGermany offers verified guides and smart-life tools for expats in Germany, covering bureaucracy, money, housing, mobility, and everyday life.

During a fireside chat at AIE, the Claude Code team suggested letting Fable and Opus use their own judgment rather than dictating how to work. For example, let Fable decide when to write tests instead of specifying rules. Jesse Vincent further advised using lower-power models for smaller tasks to save tokens. Willison set a prompt for Claude Code to delegate coding to subagents with appropriate models, which has been working well, increasing productivity and slowing token usage.

Large Action Models (LAMs) and agentic LLMs are often confused but fundamentally different. Agentic LLMs gain action abilities through external scaffolding, while LAMs are trained from scratch to generate executable actions. This article breaks down the differences and provides guidance on when to use each.

Anthropic told its growth team to hire more product managers, not fewer, because Claude Code tripled engineering output, shifting the bottleneck from the IDE to deciding what to build. The bottleneck in software is no longer typing—it's deciding what to type. Engineers who treat that as someone else's problem risk plateauing.

Emra is a workspace that lets non-developers build full-stack apps with AI, all sharing the same database and service layer. It aims to democratize software creation, has built example apps like a 3D note-taking tool and video editor, and plans to open-source its SDK. The bootstrapped team prioritizes user data ownership and plans a usage-based pricing model.

AI that fights customer service for you.

Flora is a fault-tolerant, Mermaid-compatible diagram library that renders polished, interactive SVGs from imperfect input. Built in 10 days with heavy AI assistance (particularly Claude Fable), it skips malformed lines instead of crashing, offers strict mode, interactive canvases, and supports JS/React/Python/Markdown integrations.

The AI boom is creating new wealth, leading luxury brands like Chanel and The RealReal to expand in San Francisco as the tech crowd shifts from Patagonia vests to more elevated casual looks.

When a sandwich shop with Danny DeVito as its public face talks about AI in its IPO documents, we must be getting close to the tipping point of hype.