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Your AI coding agent writes bad barcode scanning code. Wrong defaults. Broken edge cases. Deprecated APIs. Scandit Agent Skills fix that. One command teaches Claude Code, Cursor, Copilot, Codex, and 40+ agents to integrate barcode, ID, and label scanning better than most humans can, validated against ~500 real-world eval cases.
OfficeCLI is an open-source, AI-friendly command-line tool that allows for easy creation, editing, and automation of Word, Excel, and PowerPoint documents without requiring any external Office installation, allowing AI agents to manage documents using commands.
Otari is an open-source, OpenAI-compatible LLM gateway that allows users to manage API keys, enforce budgets, and track usage across over 40 providers through a single endpoint, which can be run either standalone or hosted.
Mapcn offers free and customizable map components for React, built on MapLibre and styled with Tailwind, making it easy to create beautiful maps.
AI labs are projected to spend over $100 billion per year on data by 2030, as current advancements in AI capabilities show a shift from a compute-limited to a data-limited regime. The scarcity of high-quality data from the internet, combined with the urgent need for data collection across various private and public domains, shows the importance of treating data as a strategic asset necessary for economic and scientific progress.
Recent research by Anthropic has identified a novel set of internal neural patterns in LLMs, referred to as the J-space, which distinguishes conscious processing from unconscious activity. The J-space, developed autonomously during training, serves as a mental workspace that helps with deliberate reasoning and reporting of thoughts, showing flexibility in linking concepts and performing various tasks, although it only represents a small portion of the model's overall processing.
GLM 5.2 is such a cost-effective model that it shows the possible collapse of AI margins as smaller models make more sense to use for daily tasks. This may change the entire economics of AI and training models.
Companies that adopt AI experience a 10% growth in headcount within two years, primarily driven by high-intensity adopters.
Small AI models are becoming effective solutions for addressing healthcare and agricultural challenges in areas with limited infrastructure, offering localized services without the need for extensive data centers or broadband connectivity.
The ongoing conflict in software engineering between "builders," who prioritize rapid feature deployment and immediate user feedback, and "keepers," who focus on meticulous coding and system integrity, reflects a broader industry debate over the balance between speed and quality in development practices with AI in the mix.
GPT-5.6 Sol Ultra will be available to use on Codex.
Physical media is fading as gaming shifts to digital-only distribution, with Sony planning to sell only digital PlayStation titles by 2028. While convenient, this shift weakens ownership, as purchases become revocable licenses rather than permanent assets. Content can disappear due to licensing changes, as seen with removed films from user libraries. Broader trends in gaming and streaming reinforce this shift, prompting regulatory responses. The traditional idea of buying media to own is eroding, replaced by limited, conditional access.
Meta AI could become a major search and product discovery channel by embedding AI in existing apps instead of separate tools. It reached 1B monthly users by May 2025, while Meta's apps reach 3.56B daily users, giving it an edge in capturing intent across social, messaging, and shopping. Brands should test how it surfaces products, creators, reviews, and content. Visibility may rely less on traditional SEO and more on social content, partnerships, product data, and community activity.
Small format changes can drive big swings in LinkedIn Ads performance, so testing similar formats is critical. Document ads often beat carousel ads for multi-slide creative due to better mobile usability and engagement, but not consistently. Message and conversation ads also vary widely despite similar setups, with no clear winner. Performance differences can be significant, making side-by-side testing the only reliable way to decide.
Three viral formats dominating social feeds right now all hijack a real news event instead of inventing a joke. Sony's PlayStation-goes-digital-only announcement drew 70K angry replies, and Domino's UK parody about digital pizzas answered within two hours for 488K likes, with more brands piling on. Software companies ran the joke in reverse, and GitHub took it furthest by actually shipping code on CD-ROMs, landing on Hacker News's front page. A third format copies the US government's real Claude Fable 5 shutdown statement onto unrelated products.
Paste or upload your Google Ads Search Terms Report to find wasted spend, negative keyword candidates, n-gram patterns, and high-intent query opportunities. The analysis runs locally in your browser. The tool is free to use.
Chrome DevTools can reveal the source for each of ChatGPT's cited URLs through the "result_source" tag. Its current data sources include Labrador for training data, SERP for search data, BrightData, and Oxylabs. This helps you identify where ChatGPT finds information and build content that is more likely to appear in AI-generated citations.
AI visibility tools rely on prompts that can be easily manipulated, making their scores unreliable and disconnected from how users actually search. Citations also vary widely, so optimizing for them alone is flawed. A better approach is to analyze consistently cited sources, study competitors, and focus on content that answers real user questions. Visible brand mentions matter more than links, making strong, clear positioning key to showing up in AI responses.
Debate over marketing education has become polarized, but both sides are largely right. Foundational knowledge still matters, while the traditional canon needs updating for a changing industry. The real issue is confusion between knowledge, competencies, and skills, with too little focus on applying learning in real contexts. Universities and training each play a role, but neither is sufficient alone. Underneath the debate is deeper uncertainty about marketing's future, which is fueling division and making constructive progress harder.
Publishing self-promotional pages pulled a new conference brand into 72 previously empty AI answer slots, with 82% of those mentions citing the brand's own content. The same tactic barely moved an already-established brand, where only 6% of new mentions traced back to owned pages. Even where citations landed, they backfired 43% of the time, with AI citing the page while recommending a competitor from the same list. The effect scaled with query specificity, hitting 66% of answers for a narrow "best SEO conferences" search versus 16% for a broader "best marketing conferences" one.
AI writing tools can nudge tone in specific directions across topics, even when asked to preserve meaning.
Original data earns disproportionate citations, but almost only when packaged as clear, comparable benchmarks that directly answer “which is best” questions.
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AI made shipping 10x faster. But when teams can ship daily, the advantage is no longer speed alone. It's knowing what to build.
Product metrics are valuable only when they answer a meaningful question and lead to a clear decision. Instead of tracking generic or convenient numbers, teams should define specific measures tied to the user behavior and outcomes they want to change.
Rapid AI progress could unlock unprecedented abundance while also concentrating power, disrupting society, and creating major security and governance risks.
Understanding human nature helps you capture attention, communicate value, inspire action, and succeed across changing industries and technologies.
As AI makes building dramatically faster and cheaper, product work is becoming less about implementation and more about choosing the right problems, evaluating possibilities, and maintaining coherence and quality. The strongest contributors will pair deep expertise with agency, adaptability, and taste, using AI to explore broadly while applying human judgment to deliver exceptional products.
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Which flavor of barcode, ID, or label scanning best fits your use case? Scandit's Agent Skills answer that in your team's AI coding tool: describe what you're building ("warehouse picking app on Android"), get a recommendation grounded in 15 years of real integrations, then let the agent build it.
Burnout often stems from the belief that we should always be working, improving, or maximizing our potential. Recovery requires questioning that pressure, setting boundaries, resting without justification, allowing mental stillness, and deliberately deciding when something is complete.
As AI handles more defined tasks, career success will depend on choosing meaningful problems, building a strong reputation, and delivering exceptional results.
While AI might not accelerate design projects, it boosts productivity by helping teams align prototypes, specs, and documentation. This frees up time for better decision-making - a task where human judgment, context, and taste remain essential.
Deep thinkers thrive by separating self-worth from work, adapting with intention, and protecting the curiosity that makes their work meaningful.
Effective storytelling pairs a clear challenge with a satisfying resolution, using a structure suited to the audience's attention span.
Nvidia has started a partnership program that offers firms access to critical computing infrastructure through the company's network of AI cloud service providers. Members of the program will share both product and cloud revenue with Nvidia. AI firms are increasingly entering into revenue and equity-sharing agreements with chip makers to circumvent liquidity issues. Nvidia plans to raise at least $20 billion in debt for general corporate purposes.
Amazon Leo now has enough satellites in orbit to begin serving customers. The constellation now has more than 390 satellites. Amazon began offering an enterprise preview for select businesses last year. Its commercial service will likely initially be limited to users in certain geographic regions.
One of the biggest challenges for robot makers is ensuring that they don't hurt humans. The machines are getting bigger and heavier, which increases their potential for damage. The International Organization for Standardization is expected to publish a standard for humanoid robot safety by mid-2028, but robot makers are already coming up with their own solutions. This article looks at some of those solutions.
An AI superforecaster is an AI modified to be good at forecasting. This usually involves a scaffold that handholds the agent through a long research process. There are now several companies that claim to have AI superforecasters with incredible performance and results. They appear to be making crazy profits on prediction markets and beating the stock market by some comfortable amount.
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Ads get ignored on social media but not in TLDR! Reach developers, PMs, marketers, founders and other tech leaders where they actually
Low autonomy limits risk and increases reversibility. Higher autonomy is better for explicit activities, as well as for fleets of parallel agents refactoring massive codebases. The edge of the frontier is the manager agent that delegates to helpers while continuously verifying their output, and only returning with the decisions that must be made by a human. This setup can be used to run hundreds or thousands of agents.
Users need to spend more time defining unknowns to prevent long-horizon tasks from coming back wrong. Claude can be used to help define these unknowns through explainers, brainstorms, interviews, prototypes, and references. Doing this is a cheap way to fix problems before they get expensive. This post shows readers how to use Claude to help find their unknowns.
Threads now has 500 million monthly users. The app has become especially popular in Asia. Threads is now targeting one billion users. The app started showing ads in January - reaching its user goal could lead to revenue of at least $30 billion a year.
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If the newest models get better at solving the task while getting worse at faithfully emitting an alternative tool schema, then the harness needs stronger guarantees somewhere.