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React Native Godot allows embedding the Godot game engine into React Native applications on both Android and iOS, running the engine on a separate thread for optimal performance. It provides full access to the Godot API from TypeScript/JavaScript. The library supports starting, stopping, pausing, and restarting the Godot Engine, even allowing reconfiguration and different Godot app loading upon restarting.
Uniwind introduces fast and stable Tailwind CSS bindings for React Native apps. It provides a unified cross-platform styling solution, improving on existing solutions like Nativewind with a custom CSS parser and easy theming. Uniwind also includes automatic React Native component bindings and supports collaborations.
Dillo is a multi-platform graphical web browser with a focus on security and privacy. It's built with the FLTK 1.3 GUI toolkit. The repository contains the original code with some minor patches.
GitHub experienced record growth in 2025, adding over 36 million new developers (more than one per second on average) to reach 180+ million total developers, largely driven by the release of GitHub Copilot Free in late 2024. For the first time in over a decade, TypeScript overtook both Python and JavaScript to become the most-used language on GitHub, showing how AI-assisted development is influencing developers' tool choices toward more reliable, typed languages.
BaNEL (Bayesian Negative Evidence Learning) is a novel algorithm designed to improve machine learning in scenarios where positive rewards are extremely rare and reward evaluation is costly. It works by learning a generative model of failures, allowing it to avoid repeating past mistakes and effectively explore the solution space using only negative reward samples. Experiments on adversarial attacks and language model reasoning show BaNEL's ability to improve success rates compared to existing methods, especially when additional computation is available.
There is discomfort and devaluation associated with AI-generated content, especially in art and marketing, partly due to the societal implications of AI's encroachment on human creativity.
A new employee is assigned a seemingly simple SLO implementation task for the "Foo" service, which quickly spirals into a complex and frustrating endeavor involving miscalculations, unexpected technical challenges, shifting requirements, and ultimately leads to his termination despite his attempts to meet the ever-changing and often contradictory demands of his manager.
Absurd is a lightweight SQL-only library that uses Postgres for durable execution and workflow management, making it easier to build AI agents with long-running tasks and event-driven architectures.
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Researchers from Check Point have discovered four vulnerabilities that allow attackers to manipulate Teams messages. The vulnerabilities could allow attackers to edit Teams messages without leaving the “edited” label, alter message notifications so they appear to be from a different sender, change the display name inside private chats, and alter caller identities in video and audio calls.
A severe vulnerability in the widely used @react-native-community/cli npm package posed a high risk, allowing remote attackers to execute malicious OS commands on developers' machines running the React Native development server. Affecting millions and scoring 9.8 in severity, the flaw was patched in version 20.0.0.
Google identified PROMPTFLUX, an experimental malware, using a hardcoded Gemini API key to query Google's LLM with prompts for code obfuscation and AV evasion. It was able to self-modify and rewrite its source code to evade detection. Believed to be in testing by a financially-motivated actor, the malware includes a "Thinking Robot' that logs AI responses, persists via Windows Startup, and attempts propagation through drives and network shares, though it currently has no real attack capabilities. Security teams should monitor LLM-assisted malware like other variants, implement API key rotation, and be aware of threat actors bypassing AI safety via social engineering.
Device code phishing exploits OAuth 2.0's legitimate device authorization flow to steal access tokens by tricking victims into authenticating attacker-generated device codes, with Microsoft Azure allowing attackers to request powerful scopes (including Primary Refresh Tokens) through undocumented "Family of Client IDs" while Google severely restricts device flow to only YouTube and Google Drive scopes. Azure's implementation enables attackers to use legitimate Microsoft URLs and APIs throughout the entire attack chain without requiring client authentication, making phishing campaigns highly effective at bypassing MFA and gaining initial access with tokens scoped to Graph API, Intune enrollment, or other sensitive resources. Security teams should implement Conditional Access policies that restrict device code authentication, monitor suspicious device code flow usage patterns in Azure sign-in logs, educate users about the risks of entering codes from unsolicited communications, and consider Google's restrictive scope model as a defensive blueprint for limiting OAuth attack surface.
Amazon Bedrock provides a wizard for creating execution roles using the Agent Builder UI. The trust policy on the created role allows any agent in the account to assume the role by default via a wildcard aws:SourceArn condition. Users should ensure that this condition is scoped to their specific agent.
Deploying Mobile Device Management (MDM) solutions to developer endpoints often presents complications, as security tools are sometimes not well-suited to developer workflows. This leads to many organizations putting in extensive exemptions for developer endpoints, significantly weakening their security posture. This post advocates for a developer MDM that operates by injecting visibility using existing agents such as Zscaler and CrowdStrike.
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A compiled checklist of 300+ tips for protecting digital security and privacy.
Vega delivers AI-powered security analytics and operations. It streamlines SOC workflows by analyzing data in place, surfacing critical alerts, and automatically fixing coverage gaps and noisy rules for faster response.
Acunetix is a comprehensive web application vulnerability scanner that performs in-depth testing of modern, JavaScript-heavy apps, APIs, and traditional web platforms to identify issues such as SQL injection, XSS, and complex logic flaws, all with low false positives through automated verification. It seamlessly integrates into CI/CD pipelines to enable continuous security testing during development and offers compliance reporting for standards such as PCI DSS, HIPAA, GDPR, and OWASP Top 10. Security teams can utilize Acunetix for pre-production assessments, embed it into DevSecOps workflows for early testing, and leverage its API scanning capabilities to secure microservices and GraphQL endpoints that are often missed by traditional scanners.
Journalists discovered that location data from top EU officials was being sold by brokers, making it easy to track officials' movements, even with Europe's strict privacy laws. A leaked dataset revealed precise information on officials' whereabouts and highlighted weak enforcement against brokers.
Google Chrome now supports autofill for sensitive documents like passports and driver's licenses, with encryption and user consent. However, security experts warn that this centralizes critical identity data in a vulnerable location, contradicting cybersecurity advice against storing such info in browsers. Malware like Shuyal Stealer targets browser-stored credentials, and Chrome autofill data isn't stored securely. Security teams should advise against storing sensitive IDs in autofill, enforce policies to restrict this in workplaces, monitor for info-stealer malware, and recommend dedicated password managers with stronger encryption instead of browser storage.
The Aisuru botnet, with hundreds of thousands of compromised IoT devices and 30 Tbps DDoS power, manipulated Cloudflare's domain rankings by switching from Google's 8.8.8.8 DNS to Cloudflare's 1.1.1.1 in October. This caused malicious domains, mainly in the .su TLD, to outrank major companies like Amazon and Google due to massive DNS queries. The incident revealed vulnerabilities in trust-based domain ranking systems, which treat highly-ranked domains as trustworthy, and attackers used mainly US-based compromised devices from ISPs such as AT&T and Verizon. Security teams should monitor DNS connections to the .su TLD, block it if needed, and avoid relying solely on domain popularity for trust, as DNS query volume can be artificially inflated by botnets.
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The market is in flux - with new vendors like StrongDM building platforms that focus on authorization, not just authentication, as the
A newly discovered critical flaw in Control Web Panel (CWP) lets remote attackers execute commands without authentication.
In a major international operation, law enforcement agencies have shut down a vast crypto fraud ring, arresting nine suspects accused of laundering €600 million.
Apple released unusually large security updates patching 105 vulnerabilities in macOS 26.1 and 56 in iOS/iPadOS 26.1.
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LLM referral traffic is falling after months of growth. ChatGPT's new router shows fewer citations, cutting outbound traffic even as usage rises. Clicks are nearly gone, making referral traffic unreliable. Brands should focus on visibility, not clicks. Mentions and citations matter more than visits. AI Overviews and zero-click behavior limit referrals, so it's important to invest in visibility across Reddit, YouTube, and other forums where LLMs pull data.
Cringe thrives on social awkwardness and failed self-presentation. It exposes the tension between how people want to appear and who they really are. It satisfies audiences' fascination with vulnerability and authenticity, letting them feel both empathy and relief. For creators and brands, cringe works best when it's intentional and self-aware, balancing discomfort with insight. The key is to evoke recognition without crossing into secondhand embarrassment.
Creator “fav_girls02” reached 19M views in 48 hours with a “back to school glow up” series that used a consistent hook and cover image across all posts. Each slideshow focused on a different topic, like hair, skincare, or outfits, while following a simple checklist format. The approach made it easy to replicate, feature other creators, and include subtle product mentions. The key was posting several parts quickly to keep momentum. The format works well for niches such as self-improvement, beauty, and productivity.
Overly restrictive limited-time offers can reduce sales by up to 68% compared to no offer at all. Research found that 1-day promotions with normal return policies and flexible navigation lead to higher satisfaction and spending. People spent 56.6% more in a 1-day charity sale but 68.3% less when the offer lasted only 1 hour. Limited-time offers work best when they feel urgent but fair, highlight potential regret, and avoid unnecessary restrictions that trigger psychological resistance.
Free, Plus, and Pro ChatGPT accounts have a default setting that allows OpenAI to use chats and connected data to train its models. This can be turned off in Settings > Data Controls by disabling “Improve the model for everyone”. The setting is important when using connectors that access external tools or data. Business, Teams, and Enterprise accounts have this data sharing turned off by default, making them safer for work. Companies should avoid using personal ChatGPT accounts for business to protect data and privacy.
This podcast explores how brands can adapt to AI-driven search with Noah Greenberg, CEO of Stacker. It covers the shift from SEO to GEO, where earned media, brand mentions, and broad content distribution drive AI citations. PR, content, and SEO are converging, press releases are regaining relevance, and visibility grows through wide syndication. Measurement is moving from traffic and backlinks to trust, mentions, and influence.
B2B buyers now control most of the buying process, completing about 83% of their decisions before speaking with vendors and consuming an average of 11 pieces of content first. They value originality and expertise, with 73% trusting thought leadership content over promotional materials and 86% seeking ideas that challenge their assumptions. Buyers increasingly prefer specialized firms that deeply understand their industry, ranking subject-matter expertise as the top selection factor. Referrals still matter, but buyers now validate them through a firm's online content, making consistent, expert-driven marketing essential for closing deals.
Brand has become a product responsibility rather than just a marketing function. Users now form emotional attachments through product experience, not marketing claims, which makes how a product feels more important than its features or efficiency. AI search models are beginning to rank brands based on user sentiment and reviews, and Semrush predicts AI search traffic will surpass traditional search by 2028. To stay competitive, product teams must design for emotion, create memorable moments, and focus on delight, because utility drives usage while emotion drives loyalty.
The heritage discount describes a consistent pattern where sellers reduce prices for buyers who demonstrate respect for an item's history. Unlike the typical behavior seen in the endowment effect, this pricing shift reflects a desire to see value passed on rather than maximized. To leverage the effect, brands have begun building digital tools and curated experiences that help consumers preserve or rediscover their roots. This trend is also evident in national park campaigns, regional storytelling, and product design linked to nostalgia.
A piece by Perplexity on why Amazon's legal threat against Comet blocks user choice and defends the right to AI assistants that serve users, not corporate interests.
Pinterest added 22M users and reported 17% revenue growth in Q3, driven by international expansion and continued investment in AI-powered shopping features.
Only 3.5% of SaaS companies reach $20 million in ARR within ten years, yet those that do are not defined by their early performance.
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Apple is developing an entry-level budget Mac designed for students, businesses, and casual users. The low-cost laptop is currently in active testing at Apple and in early production with overseas suppliers. It will be priced well under $1,000. Apple plans to launch it in the first half of next year. The move is a strategic shift for Apple, which has previously vowed not to chase market share with lower-end offerings.
Elon Musk spent most of his time at xAI after he left DOGE in May, even holding meetings for Tesla employees at xAI's offices. Musk has balanced his responsibilities between several fast-growing companies for years, but the potential of AI has led him to spend much more of his time at xAI. Tesla will soon announce preliminary results on a giant pay package designed to ensure that Musk focuses on Tesla for years to come. The package would increase his stake in Tesla over a decade from 15% to around 25% if he hits ambitious goals.
The cost of electricity on Earth is a problem for large data centers. Google plans to put data centers in space in a dawn-dusk sun-synchronous low-earth orbit to ensure they get almost constant sunlight exposure. It will require solar panels that are up to eight times more efficient to get the job done. The project will only be successful if Google's TPUs can run for at least five years. Google plans to launch a pair of prototype satellites by early 2027.
Amazon is currently laying a new subsea cable across the ocean floor that will connect the US and Europe. It should be up and running in 2028. Dubbed Fastnet, the state-of-the-art fiber-optic cable system will be able to transport over 320 terabits per second. Amazon is investing heavily in the burial process to prevent Fastnet from being cut or damaged.