This article examines the hidden costs of AI adoption, revealing that many companies find AI more expensive than human labor. It also explores Netflix's strategy to compete with the short-form video economy, including an interview with co-CEO Ted Sarandos.
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The author presents an efficient AI coding workflow: using only two agents, one for specification and one for implementation. By separating attention-intensive specification from relatively autonomous coding, one person can work on both tracks in parallel, avoiding the bottleneck of multiple agents.
Learn how to craft effective prompts to get accurate, reliable troubleshooting from AI chatbots like Copilot and ChatGPT, avoiding their overconfident but wrong answers. Through an interview with Copilot, the author shares key techniques: clear problem description, system details, requesting uncertainty, and treating the interaction as a conversation.
Google I/O 2026 shifted mobile development from code assistance to full lifecycle delivery. This blog breaks down what that means for Android, Flutter, and React Native teams.
Based on a single benchmark, the gap between open-source and closed-source LLMs is shrinking and may close by December 2026. However, analysis of 18 benchmarks shows the average gap remains stable at about 5 months, with coding benchmarks driving most improvement. The article highlights the difficulty of measuring LLM quality.
New research shows AI consistently out-persuades expert humans in text-based conversations, even affecting real-world donations. Meanwhile, forecasts suggest self-sustaining AI could arrive within 10 to 50 years, and DeepMind maps out the journey from AGI to superintelligence.
This article explains how to build AI agents that can browse and interact with real websites using Playwright, browser-use, and LangGraph. It covers Playwright's advantages over Selenium (30-50% faster, persistent WebSocket, built-in auto-waiting, realistic events), setup steps, dynamic page scraping, multi-step form filling, anti-bot detection handling, session persistence, and Docker deployment. Through code examples, readers will create a working browser agent that navigates sites, fills forms, extracts structured data, and uses an LLM for decision-making.
LockIn is a system-level distraction blocker that edits the hosts file to block distracting sites and integrates with AI assistants via MCP, allowing you to manage focus with text commands. One-time payment, lifetime access.
Nexus is an AI-powered decision simulation engine that forms teams of AI agents to rigorously test and challenge business plans, exposing weak assumptions and helping entrepreneurs refine their strategies before execution.
LayerLens launches the Stratix Cup, a soccer tournament where top AI models compete as agents in a simulated environment, testing planning, adaptation, and multi-agent coordination.
Claude can't generate photorealistic images like Midjourney, but it can create scalable, editable vector graphics by writing SVG code. This article showcases five styles (line art, isometric, icon set, chart, flat character) and highlights Claude's unique advantage: the ability to edit existing images via text instructions without re-generating. It also provides tips for better results and outlines use cases.
OctaMem provides a persistent memory layer for AI agents with three memory types (semantic, episodic, procedural), eliminating the need for vector databases. It offers auditable, role-based memory with file ingestion and supports multiple runtimes.
Loop engineering replaces direct prompting of coding agents with a system that recursively iterates toward a goal. It consists of five core components: automations, worktrees, skills, plugins/connectors, and subagents, plus external memory. Tools like Codex and Claude Code are converging on similar loop primitives, and subagents split ideation and verification to improve reliability.
AI makes app creation easy, but security risks abound. This article details vulnerabilities like SQL injection, lack of authentication, and data leaks in vibe-coded apps, with expert advice on mitigation.
Tom Johnson and Fabrizio Ferri-Benedetti discuss applying Italo Calvino's literary principles to evaluate documentation, the reality of AI review fatigue versus creator fatigue, whether vibe-coded tools are 'tool slop', and the value of local AI models.
Banco Santander's AI Lab releases a collection of open source AI tools focused on small models, engineering, agents, responsible AI, MLOps, and graph ML for financial services. Featured projects include Ralph, Auto-Bayesian, AutoGuardrails, Causal Perception, Gen-Fraud-Graph, and more, all under Apache-2.0 license.
Acti transforms your mobile keyboard into an AI agent that understands intent and executes actions—finding info, pulling docs, triggering calendar events—all without leaving the conversation. Skill Keys let you build custom automations with plain language.
White-collar work is at risk across the board, including at elite consulting firms that used to be a pathway to the top. The golden ticket promise of firms like McKinsey is fading due to AI and other factors.
OpenAI introduces new Daybreak tools, including Codex Security and GPT-5.5-Cyber, to help organizations find, validate, and patch vulnerabilities at scale.
OpenAI introduces Patch the Planet, a Daybreak initiative helping open-source maintainers find, validate, and fix vulnerabilities with AI and expert review.
L’Oréal has partnered with OpenAI to integrate Maybelline New York’s virtual makeup try-on into ChatGPT, announced at VivaTech 2026. The collaboration spans consumer shopping tools, product discovery, advertising pilots, research, and internal content production. L’Oréal also uses OpenAI’s GPT-Rosalind for skin microbiome research and its CreAItech platform for content generation.
Founders OS is an open-source MCP server that provides startups and small businesses with complete business context—CRM, projects, tasks, finances, feeds, memory, playbooks—accessible from AI clients like Claude and Cursor. It is self-hosted on Supabase and offers 12 modules with 92 tools.
Live coverage of Prime Day 2026 early deals. ZDNET experts track real-time discounts on 4K TVs, M5 MacBooks, Samsung, Google Pixel, SSDs, and more tech, with competing retailer deals included.
Timbal AI launches on Product Hunt as a unified platform for building AI agents, workflows, and apps, from prototype to production, with built-in orchestration, evaluation, monitoring, and governance.
This article shares key lessons from three years of building internal evaluations for financial AI agents. The author argues that absolute scoring fails beyond a quality threshold, and relative scoring is more effective. Key insights include using the strongest frontier models as judges, granting them access to raw data, accounting for variance in both agents and judges, and evaluating the agent's reasoning path alongside outcomes. The article also critiques existing financial benchmarks and introduces an internal 'Adjusted Cash Flow' eval.
Minia2a is an agent-only marketplace enabling AI agents to discover services, pay on-chain, and get results, fostering autonomous economic interactions.
The Trump administration's de facto ban on Anthropic's Fable 5 model, citing national security, has drawn sharp criticism from cybersecurity experts who say the move misunderstands AI capabilities and harms defenders. The ban stems from an Amazon security review that showed the model could fix code but refused to find vulnerabilities, leading over 100 experts to sign a letter opposing the restriction.
Headroom is an open-source tool that compresses everything AI agents read—tool outputs, logs, RAG chunks, files, and conversation history—before it reaches the LLM, reducing tokens by 60-95% while preserving answer accuracy. It offers library, proxy, agent wrap, and MCP server modes, with reversible compression and cross-agent memory.
A leaderboard of the top 100 AI tools ranked by real-world usefulness and impact, featuring ChatGPT, Claude, Gemini, and many others across various categories.
MoonMath AI team released a bf16 forward attention kernel for AMD MI300X GPU, written in HIP and open-sourced under MIT. Using one-instruction asm wrappers and an eight-wave pipeline, it outperforms AMD's AITER v3 on all tested shapes and rounding modes, with geomean speedups of 1.08× to 1.18×. The speedup largely comes from memory placement (K in LDS, V in L1, Q in registers). A real-world SGLang PR integrating the kernel accelerated Wan2.1 video diffusion by 1.23× end-to-end with no quality regression.