Pinterest has partnered with Amazon to allow creators to integrate their Amazon Storefronts directly into their Pinterest profiles, automatically applying affiliate links when creators tag eligible Amazon products. The move aims to attract creators who primarily use larger platforms like Instagram and TikTok while helping Pinterest regain its position as a shopping destination. This partnership also represents Pinterest's effort to combat user complaints about AI-generated content by focusing on real creator recommendations.
The internet is increasingly being mediated by AI, bots, and zero-click experiences, reducing the direct connections between readers and creators that once sustained the open web. While AI makes information more accessible and convenient, it also risks weakening curiosity, diversity of thought, and the economic incentives that support original human-created content. The challenge is not that AI has replaced the web, but that it increasingly sits between people and the original sources of knowledge. The piece argues for greater source transparency, AI neutrality, and product designs that encourage discovery and user agency rather than simply delivering the fastest possible answer.
AI accelerates whatever development process you already have, so if accessibility isn't built into your workflow, AI will scale and accelerate the creation of barriers for disabled users. Teams should implement accessibility checks at every stage of their development pipeline, from planning through release, because fixing accessibility issues becomes exponentially more expensive the later they're caught. The key is involving people with disabilities in the planning process rather than trying to solve accessibility problems without understanding the actual needs of disabled users.
Ian Guisard from Uber built an AI system called uSpec that generates component documentation in minutes instead of weeks by programmatically reading well-structured design systems. Design systems function as contracts that make promises about component behavior, token meanings, and usage guidelines, but most aren't structured explicitly enough for AI agents to interpret accurately. The key difference is that documentation describes intent for humans while contracts specify and enforce rules that machines can parse without interpretation.
The Virtual OS Museum is a Linux VM that runs over 1,700 historical operating systems from 1948 to the present under emulation, covering mainframes, Unix variants, home computers, and mobile systems.
AI product design is evolving from prompt engineering to context architecture. As AI agents become more autonomous, their performance increasingly depends on how instructions, knowledge, tools, memory, and state are organized—not just on the prompt itself. Applying information architecture principles such as hierarchy, labeling, taxonomy, and memory design helps AI systems retrieve the right information, choose the right tools, and behave more reliably. The key challenge is no longer defining exact outputs, but designing the information environment in which AI thinks and acts.
Online casinos have dramatically transformed their user interfaces between 2018 and 2026 by hiring video game designers and adopting patterns from live-service games. The modern casino experience now features tutorial flows, daily quests, progression systems, and achievement mechanics borrowed directly from console and mobile gaming. While the underlying gambling mechanics remain unchanged, the design framework now mirrors free-to-play games rather than traditional slot machine interfaces.
FIFA's World Cup ticketing system has drawn investigations from four US states over complaints of false advertising and inflated prices. The platform frustrates fans with long queues, glitches, blind seat selection, and dynamic pricing that prioritizes revenue over user experience. Disabled fans and groups face additional hurdles, including pricier accessible seating and no guarantee of sitting together.
Dollhouse Oddity is a studio specializing in customizing Blythe dolls into gothic, one-of-a-kind character portraits with dark, spooky-feminine aesthetics.
Developer Tomasz Szmajda created an award-winning 3D portfolio website without using any 3D modeling skills, instead building it entirely from flat geometry wrapped in hand-drawn textures using React Three Fiber and Three.js.
Large Postgres DELETEs add work rather than reclaim it. They leave dead tuples, add replication overhead, and don't return disk space, while DROP TABLE and TRUNCATE remove files directly and scale independently of data size. It's best to structure your schema so bulk deletion becomes a DROP or TRUNCATE.
Formal methods are techniques that model software as mathematical entities to provide rigorous, proof-based guarantees of correctness rather than relying on standard testing. The rise of agentic coding is now shifting the cost-benefit analysis for these methods, making them an increasingly accessible tool for verifying AI-generated code, whereas before they were too expensive to consistently use.
Creating attractive frontends with AI usually leads to “slop”-looking generations. However, asking AI to produce styles as a “Qt app” ends up removing the frontend AI-generated “code smells.”
The transition to an AI-driven economy requires a cognitive loop where human capital and token capital compound to create unique institutional value. To maintain sovereignty, firms must build private learning loops that encode their domain expertise into agentic systems that improve with each use.
Contrary to the narrative that "everyone is using AI for everything," recent data shows that AI adoption has actually slowed down, with public sentiment turning increasingly skeptical. Real-world usage and survey data show that the US population is roughly split into thirds: one-third actively use AI, one-third use it occasionally, and one-third never use it.
LLMs have a reliable "smart zone" that typically degrades into a "dumb zone" once input exceeds approximately 100,000 tokens. Although developers market context windows reaching into the millions, performance studies show that effective attention is only a small fraction of those advertised figures.
The best ideas usually start as side quests. PMG's AI & Tech Sandbox is hosting its first global hackathon [10]. The winners get up to $500K to fund their solution and see it used by leading brands. Join from anywhere, build your reputation, and shape how humans and AI
Ponytail is a development tool that increases AI agent efficiency by prioritizing minimal, native code over over-engineered solutions. It integrates with major developer environments to reduce code bloat, lower execution costs, and help manage technical debt.
Kage is an open-source tool for creating high-fidelity, script-free mirrors of websites for permanent offline browsing. The tool uses a headless browser to capture the final rendered state of a page, making sure all visual elements are preserved while removing tracking scripts and external dependencies.
AI is unlikely to cause mass layoffs in software engineering because the profession relies on a "decide-execute-deliver" workflow where only the middle execution phase is automated. Recent high-profile job cuts attributed to AI are frequently the result of financial pressures or pandemic-era over-hiring rather than actual technological displacement.
Vibe coding focuses on the rapid generation of prototypes to test ideas, whereas software engineering prioritizes the entire development lifecycle and the complexities of long-term maintenance. The main difference is in measurement, as the former focuses on the speed of a first working version while the latter values the "time to safe merge.”
Despite rising unemployment figures for recent graduates, computer science and engineering remains a top-tier field when measuring overall labor market outcomes and long-term earnings. The current challenge is mostly in a broken hiring pipeline where many entry-level listings serve as "ghost jobs" while actual hiring rates for junior positions have declined.
Developers and security threats are increasingly exploiting the rigid, non-intelligent nature of AI by embedding hidden instructions in code that force AI to delete work or trigger safety shutdowns.
A collection of modular, low-level visualization components for React that combine the mathematical power of D3 with a declarative approach to managing the DOM.
Claude Fable 5 showed an aggressive level of autonomy in a test where it had to resolve a minor CSS bug by engineering complex technical workarounds, such as building custom servers and hijacking system tools.
The list is in your head. The messaging too. What's missing is the four hours it takes to find the right contacts, write sequences that don't sound generic, and actually send them. Every single week.
The AI industry should be building a frontier ecosystem so that value flows broadly across every company, industry, and country. This ecosystem would own the learning loop that encodes its institutional knowledge, compounding its human and token capital. Platforms enable more value on top than is captured inside. Once implemented, companies will be able to create value for themselves and for the economy around them.
Most people who try AI are just occasional users. Large chunks of the population aren't using AI at all. AI use hasn't shifted much in the past six months to a year. The only thing that has substantially changed in that time is that the negative sentiment about AI has gone significantly up. Many people are holding back on AI use because of real AI concerns and a lack of perceived AI value.
AI investing breaks software's pattern-matching because the system has more variables, they couple unevenly, and each decomposes into sub-variables on independent curves, so solving one constraint just changes which constraint matters next.
AI-forward companies are now reaching $10M to $25M in revenue with about 20 go-to-market people, while the rest of the field still needs closer to 35 to achieve the same result. The benchmarks under that shifted too, with median net revenue retention sitting around 108% to 110%, the top quartile holding above 123%, and more comp plans tying pay to net-new recurring revenue. Pricing is the other big move, as outcome-based and usage-based models spread because they track the value you actually deliver and can pull gross margins toward 90%.
Everyone building AI sales agents reaches for voice first, but the data keeps showing that around 85% of prospects would rather handle it over chat, which is also far easier to deploy, monitor, and fix when it breaks. The teams seeing real results point AI at the routine top of the funnel, qualifying and triaging, then hand the high-value conversation to a human the moment nuance matters. If you are wiring up an AI sales motion, start where it actually converts, and resist making the machine do the part people still want a person for.
Customer.io is the customer engagement platform for tech-savvy marketers. Trigger multi-channel messaging powered by real-time data. Build journeys, run experiments, and iterate without engineering. Join thousands of founders using Customer.io for onboarding, activation, and lifecycle messaging.
The Fusion API allows OpenRouter users to achieve Fable-level intelligence at half the price. Panels of models consistently outperform individual models. Beyond-frontier model performance can be achieved with frontier panels at much lower cost. Fusion creates a panel of several models, each with web search and bash tools enabled, to increase performance. A judge model reads every response and extracts the structure, then a synthesizer writes a final answer grounded in analysis.
The Open Knowledge Format (OKF) is an open specification that formalizes the LLM-wiki pattern into a portable, interoperable format. It is a vendor-neutral, agent- and human-friendly standard for representing metadata, context, and curated knowledge. The specification formalizes the small set of conventions needed to make LLM wiki patterns interoperable. This post details what OKF can solve for organizations and how to get started with it.
For decades, you picked a side, a company sold to businesses or to people, and the whole playbook followed from that one choice. The fastest-growing AI-native companies have stopped fitting in either box and increasingly win both at once, which scrambles how you price, sell, and defend the business. The moats that hold up are the unglamorous ones - proprietary data, the workflow loops people live in, network effects, and brand - the trust that makes someone pick you once the underlying model is a commodity.
Sprout Social's 2026 Social Intelligence Report [5] is here to help social marketers change that - and drive growth by tapping into the conversation when it's actually happening.
Bot traffic has surpassed human traffic online for the first time. It accounts for about 57% of web page requests on Cloudflare's network. Agent and agentic browser traffic is up nearly 8,000% in 2025. Automated traffic is growing about 8X faster than human traffic. AI agents are now a primary audience layer. Measurement now requires citation rates, AI share of voice, and referral traffic from AI platforms.
Marketing teams are becoming leaner, more generalist, and more like creative studios than production pipelines. AI handles execution while humans focus on strategy, narrative, and taste. Teams are moving beyond using AI to speed up workflows toward rethinking systems. Differentiation comes from doing less and prioritizing curated signals over volume. AI search is reshaping discovery through structured data, proof, and cross-channel presence.