95% of organizations experienced browser-based attacks last year that evaded traditional security tools. Attackers operated inside trusted sessions where web gateways, cloud access brokers, and endpoint protection lose visibility after login. Recent incidents, including ShadyPanda's weaponized extensions and Cyberhaven's supply chain compromise, demonstrate how attackers exploit browser auto-updates and session tokens rather than zero-days. Security leaders recommend inventorying extensions, implementing 48-72 hour auto-update delays, and moving data protection to the browser layer, where 64% of encrypted traffic currently goes uninspected.
Austria's data protection authority ruled that Microsoft illegally placed tracking cookies on a pupil's device through Microsoft 365 Education, using them to analyse behaviour, collect browser data, and support advertising. The authority ordered Microsoft to stop tracking the child within four weeks and rejected Microsoft's attempt to shift responsibility to its Irish subsidiary.
Researchers discovered "PackageGate" vulnerabilities in JavaScript package managers that allow bypassing npm's '--ignore-scripts' defense via malicious .npmrc files in Git dependencies, with pnpm, vlt, and Bun issuing patches while npm rejected the report as expected behavior.
Google has agreed to pay $68 million to resolve a class action lawsuit over “false accepts,” when Google Assistant devices recorded audio without users intentionally saying “Ok Google.”
A new malware-as-a-service kit called Stanley generates malicious Chrome extensions that overlay convincing phishing pages on top of real sites while keeping the legitimate URL visible through a fake productivity extension.
Let's state the obvious: Creativity doesn't blossom when your team is chasing down updates, combing through spreadsheets, and wondering if so-and-so has approved the asset yet.
Fast news cycles and rapid AI adoption mean startups win by owning a clear category narrative early, since attention spikes fast and hardens just as quickly. AI companies now reach $10M+ ARR in under a year, and some hit $100M ARR with fewer than 100 employees, which makes early brand positioning a real competitive advantage. Strong brand association lets one company suck up most of the oxygen, as seen when it becomes shorthand for its category, like Harvey for legal AI. Brand recall now matters more than awareness, since even Tide holds 41% market share but ranks 9th on Amazon search. Companies must make people think of it first or risk being forgotten.
Most consumer interaction with brand content happens through invisible actions that platforms do not track, which makes visible metrics misleading. In a study of 12,855 social media posts, only 0.6% showed visible engagement, while 22.3% showed invisible engagement and 77.1% showed none. The most common invisible actions were ‘see' at 42% and ‘stop' at 41%, which signal attention without public interaction. Posts linked to invisible actions such as ‘see', ‘search', or ‘save' had a higher median shop engagement rate of 10.1% compared to 6.8% for posts that received a ‘like'. These findings show that invisible engagement is more closely tied to purchase behavior and should play a larger role in how marketers measure performance.
Focus on first-person, personalized CTAs that reflect the user's role, interest, or goal, for example, “I want top HR tips” or “Save 25% on my wellness journey”. Use playful or contrasting button pairings, like “I hate learning new things” instead of “Save my seat”. Avoid generic verbs such as “Download” or “Submit”. Replace them with engaging, action-oriented phrases like “Get my discount” or “Let's go!” The goal is to make the CTA feel personal and clearly tied to user benefit.
Asking users to register at the start of shopping increases registrations, purchases, and long-term revenue. In a field experiment of over 75,000 users, early registration made shoppers 58.1% more likely to register and 10.9% more likely to buy. Those shoppers bought 16.8% more items and generated 13.2% higher total revenue over a year. Casual shoppers browsed 12.3% less after early registration prompts. Optional registration prevented short-term sales losses.
A screenshot that lists out 52 GTM triggers across 4 datasets. Start by segmenting your ICP and understanding their buyer journey. Use triggers from company activity, news, job postings, or tech changes to time outreach. Focus on high-quality, relevant data. Each signal should guide what to watch, why it matters, and how to craft your message. Right-click the screenshot and select “Open in new tab” to see a zoomed-in view.
This guide from Noble outlines 12 steps to winning LLM visibility. Start by identifying the questions your brand should appear for. Check what LLMs currently say and which sources they cite. Expand your list with high-ranking, relevant pages from Google. Clean and score all URLs to prioritize targets. Build a contact list for authors or content owners. Decide the type of mention or update needed. Craft personalized outreach at scale. Manage replies and negotiate terms or swaps. Provide easy-to-use content snippets. Implement any reciprocal mentions on your site. Verify that mentions go live and impact LLMs.
Agentic commerce is reshaking e-commerce by turning organic search into a verification gate for AI-driven purchases rather than a traffic channel. AI agents powered about 20% of retail sales during the 2025 holiday season, and major platforms now support direct checkout through commerce protocols that bypass traditional websites. Autonomous buying mainly works in a narrow-middle since high-priced purchases resist delegation and low-priced goods already rely on subscriptions, so the real value comes from conversational commerce that compresses an average 14-click journey into 1 or 2 steps. The protocols force merchants to optimize structured product data and APIs instead of pages. As a result, SEO shifts from driving clicks to feeding trusted, granular data into AI systems, favoring incumbents for broad intent and specialists for specific intent.
AI chat ads could reshape retail media, but their success is uncertain. OpenAI and Google are testing ads in ChatGPT and Gemini, while Amazon and Walmart explore AI-powered shopping. Experts say AI ads could combine strong intent and deep user knowledge, offering personalized experiences if they feel helpful rather than pushy. Retailers want to stay the merchant of record and control logistics, limiting AI's transactional role. Widespread adoption could disrupt retail media by capturing intent and transaction data, but user experience and partner balance remain key challenges.
Search and Shopping ads capture existing demand but don't create it. Growth stalls when the audience or queries are limited, not because campaigns are broken. Broad match and AI Max can stretch coverage slightly, but they still rely on search activity. True growth requires creating demand upstream through content, SEO, social, and paid media.
The strategy targets power users and everyday consumers alike, betting that meaningful control and AI features can justify payment despite growing subscription fatigue.
TLDR puts you in front of your target audience with almost no competition. Each issue features only three advertisers max, giving your message the space it needs to stand out. Millions of developers, product managers, CEOs, and other tech decision makers actually see what you have to say. Learn more [4] about running a test campaign.
Apple's new AirTag, simply dubbed 'the new AirTag', features a new Bluetooth chip that offers substantial improvements. It can work with the Precision Finding feature in the Find My app to find items up to 50% farther away. The speaker is also 50% louder. The new AirTag doesn't introduce any major new features, only updates to the device's accuracy, volume, and range.
The Microsoft Azure Maia 200 is a new in-house AI server chip designed for inferencing AI models with ludicrous speeds. It is the most efficient inference system Microsoft has ever deployed. The chip gives 30% more performance per dollar and 50% higher TDP than the first-gen Maia 100. It can hit up to 10 petaflops of FP4 compute, three times higher than Amazon's Trainium3.
Before we simulate human brains, we first need to demonstrate mastery at the sub-million-neuron-brain level. Achieving this goal will depend primarily on more and better data, which is bottlenecked by funding and the achievement of some key technological breakthroughs. It will soon be feasible thanks to a couple of recent advances. We are nearly capable of overcoming such bottlenecks at the scale of insect-sized organisms.
Tesla robotaxis navigate using an array of cameras, while Waymos uses LIDAR technology along with a suite of complementary sensors. Tesla challenged convention, but it has quietly reintroduced radar, and it is possible it may bring in other modalities. The paths for the two companies seem likely to converge in the future. This means that instead of debating whether cameras or LIDAR is better, regulators should be asking whether robotaxis in general are as safe as human drivers.
If you can't see how traffic moves, you can't truly calculate cost or detect latency issues — especially if you use dozens of services. In this eBook, Datadog & AWS Solutions Architects provide 6 steps to diagramming your cloud architecture [9] at the infra and traffic
AI agent capabilities crossed a threshold at the end of last year. This has caused a phase shift in software engineering. The intelligence part is a bit ahead of integration, so there is a need for new organizational workflows and processes. This year will be a high-energy year as the industry digests the new capability.
37signals' engineering strategy results in good code. The company stays small, cuts scope ruthlessly, and hires well. Its strategy creates a flywheel where developers maintain less code, allowing them to apply more fixup/review cycles, creating a cleaner code base, which helps to reduce headcount. Most companies can't adopt the strategy because they think more features equals more money.
AI models are now beginning to make progress in solving unsolved mathematical problems. It is so good that strong engineers are now handing their coding to AI. Similar improvements are occurring across biological science, finance, physics, and a variety of agentic tasks. If progress continues, it will only be a few years before AI is better than humans at essentially everything. This could result in a serious civilizational challenge that will require decisive and careful action.
Today's personalized pricing is different. The average person probably doesn't even know that haggling is an option or the factors that contribute to personalized pricing. In the future, people will cultivate their digital representations so they can get the lowest prices and best treatment. This access could even be sold to others who aren't so careful.
The Holy Grail of software development is full self-improvement, and the key to building this is a system that can autonomously generate bug reports and understand features that users will want.
Replacing SaaS with AI would cost more and deliver a lower-quality product in almost all scenarios, so it makes no sense from an economic or product perspective.
Anthropic has introduced MCP app integration into Claude's AI assistant, enabling seamless use of tools like Asana, Slack, Figma, and Box within its interface. This update enhances real-time interaction, setting Claude apart by embedding live app experiences directly into chats, boosting workflow efficiency. The move supports open standards and encourages developer-created integrations, aligning with Anthropic's ecosystem goals.
Qwen3-Max-Thinking is a reasoning model for complex math, coding, and multi-step workflows. Available on Alibaba Cloud's Model Studio, this model excels in tasks that require evidence gathering and deep verification, offering adaptive tool-use and built-in web search features. Early testers highlight its benefits for developers and enterprises needing long-context reasoning and tool-using agents.
Dario Amodei argues that as AI approaches the capability of a "country of geniuses," humanity faces critical challenges in safety, misuse, and economic disruption. He highlights the risks of allowing powerful AI to concentrate in authoritarian regimes, potentially leading to irreversible totalitarian control or unprecedented destructive capability in the wrong hands. Amodei advocates for strategic controls and regulations to align AI development with democratic principles, emphasizing the urgent need for informed global cooperation to prevent catastrophic outcomes.
A three-phase approach to building robust evaluation workflows for voice systems, helping teams move from demos to production by structuring datasets, grading mechanisms, and feedback loops.
Model benchmarks matter less than compute access, infrastructure scale, and long-term demand for intelligence. The race is not zero-sum, and all major labs will become massive as AI adoption, enterprise agents, and compute needs grow exponentially.
Co-do showcases how browsers can act as sandboxes for running AI-powered applications safely. It utilizes layered sandboxing by restricting file system access with the File System Access API, controlling network requests via strict CSP policies, and running code in isolated WebAssembly environments. This approach highlights the potential for browsers to serve as secure execution environments for untrusted code, but reveals gaps like dependency on LLM providers and the limitations of current browser security features.
Auth0 for AI Agents provides a more secure foundation for developers to build AI agents without compromising security or innovation. This solution connects your AI agents to apps and data, applying the correct user permissions in every scenario.
ChatGPT Code Interpreter underwent a massive upgrade in the past few months. It can write and then test code in 11 new languages, find files online and download them into a container, and install packages via pip and npm to help it solve problems. There is no official documentation for these new features. This post provides an overview of the update, along with a full list of tools that ChatGPT now has access to.
SWE-Pruner introduces a task-aware context pruning framework that cuts token usage in code agents by over 50% without harming performance. It dynamically selects relevant code using a lightweight model, optimizing workflows in multi-turn engineering tasks.
Endless Terminals provides an automated pipeline to generate realistic terminal tasks without human labeling, enabling scalable reinforcement learning for terminal-based agents.
Yann LeCun, one of the world's leading experts on artificial intelligence, has become increasingly vocal in his criticism of Silicon Valley's approach to building AI. He says the technology industry will eventually hit a dead end in its AI development as LLM technology has its limits. The herd effect in Silicon Valley leaves no room for other approaches that may be more promising in the long run. If everyone were open, the field as a whole would progress faster.