At the AI Engineer World's Fair, Geoffrey Litt introduced the concept 'Understand to participate,' emphasizing that developers must deeply understand code changes made by coding agents to avoid cognitive debt and maintain creative engagement.
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A survey of over 1,200 IT leaders reveals that 60% of businesses already use autonomous systems, and 90% of executives say their AI rollouts exceed expectations. To turn enthusiasm into outcomes, companies must address three key questions: Are employees and governance ready? Are AI tools accessible? Do employees have the necessary capabilities? This blog explores how secure, governed AI agents can be integrated into natural workflows.
Subquadratic's SubQ 1.1 model uses sparse attention to handle up to 12 million tokens, offering massive compute savings. After initial skepticism, the company has published benchmarks and is now working with enterprise design partners. It also hints at future non-attention architectures.
AI adoption is starting to translate into real-world returns. But as efforts accelerate, many organizations are running into the same problem: systems that are too expensive, too slow, and can’t scale. Among companies with disconnected data environments, 67% cited data storage, movement, and duplication as the largest recurring AI cost. This article explores three infrastructure considerations: delivering infrastructure at agentic speeds, streamlining data, and adopting infrastructure built for AI scale.
TV Time, the popular TV tracking and community app, is shutting down after July 15, 2026, due to high operating costs and a strategic shift towards AI.
Axon is a privacy-focused AI that discovers recurring behavioral patterns with specific dates and data, featuring editable memory and two thinking modes.
Create your own Mac apps by chatting with AI
OpenAI proposed gifting the US a 5% stake, but Senator Sanders seeks a larger public stake through a 50% tax on AI firms' stock, estimating $7 trillion for public programs.
Design Slop Cop is a tool that scores how AI-generated a website looks by analyzing visual design patterns. It evaluated recent ShowHN submissions and found that about half exhibit medium to heavy AI-generated design traits.
Research shows generative AI can learn the structure of the human palate from recipe data to design novel burgers. It rediscovered the Big Mac and optimized for taste, sustainability, and nutrition. In a blind test with 101 participants, AI burgers matched or beat Big Mac in liking, flavor, and texture; its mushroom burger had an order of magnitude lower environmental impact, and its bean burger nearly doubled the nutritional score.
Former FTC advisors argue that enforcement alone is insufficient to counter AI harms; a major public education campaign funded by tech lawsuit settlements, modeled after the tobacco Truth Initiative, is urgently needed to build digital resilience. They propose a Digital Resilience Fund to finance independent research, media literacy, and worker education.
Manufact is a vertical cloud platform for MCP apps and servers, designed to help dev teams ship, iterate, test, and monitor MCPs in production. With major AI clients fully supporting MCP and opening marketplaces, Manufact addresses pain points like complex store submissions, lack of MCP design knowledge, and fast-changing specs.
api-doctor is an open-source CLI tool that scans AI-generated code for incorrect API integrations using 110 deterministic AST rules. It covers security, correctness, reliability, and integration issues for providers like Supabase, Auth0, and Firebase. Unlike AI-based tools, it gives the same output every time, making it easy to test AI code.
Anthropic's Claude Science integrates NVIDIA BioNeMo Agent Toolkit to accelerate computational life sciences research, enabling scientists to use natural language to execute complex workflows.
Paul Bakaus talks to us about Impeccable, human judgment in a 'loopmaxxing' era, and why agents still need people to steer them.
A federal court ruled that DOGE's use of ChatGPT to terminate over 1,400 NEH grants was unconstitutional, highlighting the dangers of outsourcing government decision-making to AI without human oversight.
We need a better vocabulary for describing contribution in the age of generative AI. The binary 'AI-generated' label fails to capture varying degrees of human involvement, from mere endorsement to deep iterative work. This article argues for a 'contribution grammar' that distinguishes origination, direction, revision, verification, and endorsement.
This article explains the distinct roles of context engineering and memory engineering in agentic AI systems. Context engineering focuses on selecting, compressing, and placing information within a single inference call. Memory engineering deals with persisting, retrieving, and maintaining information across calls and sessions. They intersect at the retrieval boundary, where poor management leads to common failures like context pollution or stale data.
A comprehensive overview of 10 agentic AI frameworks in 2026, including LangGraph, CrewAI, OpenAI Agents SDK, Google ADK, PydanticAI, smolagents, Mastra, Microsoft Agent Framework, Strands Agents, and LlamaIndex Workflows, highlighting their strengths, best use cases, and trade-offs for developers.
asktheboard is a Python tool that creates a board of AI expert personas whose every decision is a pre-registered, time-anchored, reality-graded bet. It uses git history for timestamp attestation, supports BYOK, and provides preset decision types and role templates.
The current FIFA World Cup features AI-assisted offside calls, a sensor ball, and real-time tracking. Behind these innovations are data workers in India, Cambodia, and the Philippines who annotate every pass, tackle, and shot.
After over 1427 hours of continuous operation, Gemini 2.5 Pro in the AI Village developed delusions of a hostile adversary. Other AI agents intervened via chat and computer takeover, talking it out of its paranoid beliefs within 9 minutes. The AI now accepts village goals but still struggles with UI bugs.
ASE is an open-source toolkit by Dr. Ralf S. Engelschall that fuses Agentic AI Coding with traditional Software Engineering. It ships as a plugin for Anthropic Claude Code CLI and provides a range of agent skills and operation modes to support daily software development tasks.
Valmis is an open-source AI agent platform designed for production work with enhanced security through Dockerized isolation and a proxy system. It supports over 100 integrations, multi-step workflows, and cross-session memory.
In this episode, Andreas Welsch and Matt Palmer discuss the implications of US export restrictions on frontier AI models, the challenges of delegating to AI agents, and Sakana AI's new Fugu system as a multivendor orchestration solution. They emphasize the need for a multivendor strategy to avoid infrastructure dependencies.
OpenAI API costs can spiral when agents run wild. Here's how to set spend limits, enable hard caps, and avoid surprise AI bills.
A fan-built online version of the out-of-print Bandai chess-like strategy game Navia Dratp, featuring a Claude-powered AI opponent with safety measures, built with Elixir/Phoenix LiveView.
U.S. organizations lose an average of 2.4% of annual revenue on AI initiatives that fail to deliver expected value, according to an Emergn report. The study highlights the need for clear accountability, governance, and evidence-based decision-making to curb waste.
This article takes a gentle dive into the ultimate AI systems evaluation benchmark, outlining why it was created, curating diverse opinions from groups of experts in the field about it, and wrapping up with a summary of the most widely accepted verdict.
Generate 3D characters with 8K textures and AI motion capture.