Simon Willison released llm-meta-ai 0.1, an LLM plugin for the Meta AI API, enabling prompts against the new muse-spark-1.1 model.

Simon Willison releases llm 0.31.1, fixing a JSON error from some providers when an OpenAI Chat Completion tool call has empty arguments.

Learn how to build a venture capital research agent that produces investment memos in 90 seconds with cited sources, using the Perplexity Agent API, LangGraph, and LangSmith. The agent runs parallel research nodes for team, financials, product, and market, then synthesizes a memo with seven sections, including a thesis and recommendation. Every claim is traced to primary sources, making the output auditable. The article also compares three search providers and offers takeaways for building similar agents.

A new report by Pangram Labs reveals that over a quarter of long-form social media posts are fully AI-generated, with LinkedIn being the most affected platform, where over 40% of long posts are AI-generated. The study is based on over 1 million posts analyzed via an opt-in Chrome extension.

An open-source AI framework that uses Claude Code to automate job applications: evaluating postings, tailoring CVs, writing cover letters, and preparing for interviews.

Questioneverything.ai is a platform that uses composable knowledge blocks to help users turn curiosity into knowledge, enabling structured exploration of any question.

AWS GraphRAG deployment reduces drug R&D cycles by 87% by integrating isolated databases into a unified knowledge graph. Using Amazon Neptune Analytics and Bedrock, it enables natural language queries, cutting initial discovery from 6 months to 3 weeks, improving data retrieval by 85%, and reducing review times by 70%.

Aside is an Obsidian plugin for side comments with optional AI agent assistance. It enables page notes and anchored text notes in Markdown and PDF files, supports wikilinks, tags, and todos, and generates a vault-wide comment index. Local AI agents (Codex and Claude) can reply directly within threads.

A comparison of LangChain, LlamaIndex, and raw API calls for LLM applications, covering their strengths, trade-offs, and a decision framework for choosing the right abstraction level.

A digital notebook brings the feel of paper without the clutter. After hands-on testing, the Boox Note Air5 C stands out for its paper-like writing feel, transcription tools, and portability. Other top picks include Kindle Scribe and ReMarkable Paper Pure.

Meta AI launches Muse Spark 1.1, a multimodal reasoning model for agentic tasks with improvements in coding, tool use, and computer use, along with a 1M-token context window and multi-agent orchestration.

AI companies want to capture the value created by entire industries. That concentration of wealth and power is society’s greatest risk. Opposition to AI datacenters has emerged as a primary theme in US politics, one that – surprisingly – doesn’t fall along party lines. We applaud people coming together for constructive debate on any issue, and agree that communities need to evaluate whether any economic benefits these datacenters bring is worth their costs. Still, we worry that a focus on datacenters obscures the larger impacts of AI on people’s lives: the concentration of power of AI companies, and their widespread political and financial influence.

Data from AI detection company Pangram reveals that a significant portion of content users actually see on LinkedIn, X, and other platforms is AI-generated. Longform posts are especially affected, with 41% of LinkedIn longform and about a third of X longform being fully AI-written. The study provides a real-world measure of AI slop exposure.

Apple agreed to pay $250 million to settle a class action lawsuit over delayed Siri AI features. Eligible iPhone 15 Pro and iPhone 16 users could receive up to $95. Court approval is pending, claims submission expected in months.

The article argues that AI adoption in enterprises is shifting from experimentation to production, bringing challenges like fragmentation, cost opacity, and governance gaps. Mozilla's open-source control plane Otari aims to provide cross-model management, cost visibility, and governance, enabling organizations to truly own their AI infrastructure.

DeepSeek, a Hangzhou-based AI startup, is designing its own inference chip to reduce dependence on Nvidia and Huawei, leveraging its strengths in cost optimization and co-design. This move reflects China's adaptation to US export controls and could intensify the AI pricing war.

This article covers the full path from zero to a running private research assistant on Telegram, including configuring the context length correctly, connecting the channel, enabling web search, and deploying it headlessly in Docker.

Meta released Muse Spark 1.1, an AI model now accessible to developers via the new Meta Model API. It features improved coding capabilities, bug detection, multi-agent workflow support, and multimodal perception, aiming to catch up with rivals like OpenAI, Google, and Anthropic.

A new report from Ramp and Revelio Labs shows that companies investing heavily in AI are growing headcount by 10.2% and entry-level hiring by 12%, countering fears of AI-driven job loss.

The Chinese term 'neijuan' (involution) captures a social dynamic where increased effort yields diminishing returns. Post-pandemic, a new class of 'entrepreneurial workers' has emerged, leveraging AI tools to micro-entrepreneurship. Unlike the 2010s boom driven by opportunity, these workers operate with AI to cut costs and maintain flexibility, often supported by family and state policies. This frugal innovation, born from constraints, contrasts with Silicon Valley's capital-intensive model and may redefine innovation in a post-growth era.

Prime Intellect launches Lab, a unified platform for post-training agentic models that combines the Environments Hub with hosted training and evaluations, enabling anyone to perform large-scale RL training without infrastructure management. The platform envisions a future where every company and engineer can own their AI models and participate in shaping AI's direction.

San Francisco has regained its title as the most expensive U.S. city for homebuyers, with median house prices hitting a record $1.76 million in May 2026, driven by AI industry wealth.

Anthropic launches Claude Wrapped, a year-in-review feature for its Claude chatbot, allowing users to analyze their usage patterns, set quiet hours, and reflect on their AI interactions.

Character.AI is launching c.ai Series, short-form AI-generated animated microdramas with interactive chat features, aiming to tap into the projected $26 billion microdrama market. The first three series debut with 10 episodes each, with the final two behind a paywall.

FL Studio 2026 upgrades its Gopher AI chatbot from a manual to an active assistant that can execute tasks like creating beats and adding effects, though with limitations. The update also features a rebuilt Flex instrument, cloud backups, and an audio logger.

SnapID is an iPhone app that uses AI to instantly identify objects by pointing your camera at them, providing detailed descriptions including material, color, and key features. Build a personal collection, with a free tier and premium subscription for unlimited scans.

OpenClaw, the open-source AI agent success story of 2026, has formed an independent non-profit foundation chaired by Dave Morin. The foundation aims to keep AI ownership personal and neutral, backed by major tech companies but raising questions about true independence.

This guide walks you through creating a no-code AI agent using Quickchat that can answer questions from your knowledge base and call live REST APIs (e.g., currency conversion) during a conversation. The reusable action pattern enables easy integration with various services.

Large language models struggle with structured data like spreadsheets, but a new class of AI models called large tabular models (LTMs) is designed to fill this gap. Fundamental's NEXUS, an LTM pre-trained on billions of tables, is now adopted by Amazon Web Services and promises deterministic predictions for tabular data.

QX Labs is an AI agent platform that lets you build agents in minutes, connect them to your tools (Slack, email, WhatsApp, spreadsheets), and deploy them across your team. It offers three modes: standalone agents, grids for parallel execution at scale, and flows for automated workflows. Integrates with over 1,000 apps and supports multiple AI models with no lock-in.