A process and set of prompts to audit E-E-A-T at scale using Screaming Frog and the OpenAI API. It's designed to score content quality across multiple dimensions. The process runs multiple AI prompts per page to score authorship, citations, effort, originality, intent, writing quality, and subjective quality, then analyzes averages in Sheets or Excel to find patterns. A real blog audit showed strong authorship and intent at about 9 out of 10, but weaker citation quality and content effort near 5 out of 10. The method is best for high-value pages and when followed by AI pattern analysis for prioritization.
Adobe is expanding Firefly's capabilities with a new video editor that allows prompt-based adjustments to color, elements, and camera angles without regenerating the full video. This update introduces a timeline view and integrates third-party models like Topaz Astra for upscaling and FLUX.2 for image generation.
Holiday campaigns need to reflect the reality that most shoppers are financially stressed and price-conscious. Brands are seeing stronger results from early sales, resale options, and emotionally resonant messages instead of pressure-heavy promotions. Highlighting group activities over individual gifts and bundling affordable luxuries can help shoppers feel joy without overspending. Consumers are highly sensitive to pricing tricks, so clear value and trust are more important than urgency this season.
Quitting social media may free time, but it won't automatically make people read more books. Social platforms shape reading habits by connecting users with tailored content. It fosters focused exploration and helps discover niche interests. Reddit, TikTok, and Substack can expose readers to books they wouldn't otherwise find, though they may also reinforce filter bubbles. While in-person book clubs offer richer intellectual engagement, social media enables personalized learning, making the effects on literacy complex and nuanced.
Brands that can prove their content is human-made may gain an edge in 2026. As AI-generated media saturates every channel, consumer trust is showing cracks. Companies like iHeartMedia and Apple TV are already marketing “made by humans” as a premium feature. The shift creates opportunities for campaigns that emphasize transparency and creative authorship, especially as pushback against AI deepens in culture and public spaces.
Software from an iPhone prototype running an early build of iOS 26 leaked last week. This article lists the most notable feature flags found in the software code. The list shows what Apple was working on around June. Some of the features include Vision Pro stickers, Live Captions, Tilt to Scroll, and a Dynamic Sports Tier Manager.
PayPal has filed with the Utah Department of Financial Institutions and the Federal Deposit Insurance Corp. to establish PayPal Bank. As a Utah-chartered industrial lone company, the bank will be able to lend money, hold FDIC-insured deposits, and be owned by a non-financial institution. The proposed bank would help make PayPal's lending to small businesses more efficient, as it would reduce reliance on third parties. PayPal also plans to offer interest-bearing savings accounts to customers through the proposed bank.
The economics of putting data centers in space are savage. While it is theoretically possible, it's definitely not a sure thing. Only one company, SpaceX, is positioned to even try due to its vertical integration - having to buy launches, buses, hardware, deployment, and pay margin at every interface will kill any other attempt. While building this infrastructure may be a mediocre trade on strict near-term unit economics, the second-order effects could be enormous.
Tesla is now testing driverless vehicles in Austin, Texas. The company still hasn't announced when it will be able to operate a ride-hailing service without human safety supervisors or drivers on board. Texas will require authorization from the DMV for commercial use of self-driving vehicles starting in May 2026. California's DMV and Public Utilities Commissions say that Tesla has yet to apply for the permits needed to conduct driverless testing in the state without a human at the wheel, or to operate a commercial robotaxi service.
Find, fetch, and format clean data from any website with simple endpoints. Firecrawl [13] handles the infrastructure like rotating proxies, JavaScript rendering, rate limits, and caching so you can focus on building.
The deeper someone gets into a field, the more specific their tools get. Experts don't just use generic items. This applies to software as well. Everything in software is opinionated. The work is in choosing which opinions to embed and where to design something meaningful without dissolving into blandness.
The Cloudflare Radar 2025 Year in Review looks at Internet patterns and trends observed through Cloudflare's global network. It is organized into six sections: Traffic, AI, Adoption & Usage, Connectivity, Security, and Email Security. This page presents an interactive view of the data.
Netflix doesn't plan to close any studios after its bid for Warner Bros. streaming and studio businesses. The battle for Warner Bros. is expected to face stiff regulatory scrutiny. Paramount has launched a hostile bid and may propose an even higher bid. Netflix is committed to releasing Warner Bros. movies in theaters if its bid is successful.
Startups are raising money without really understanding what it all entails. This post was written to clear up a lot of the terms so people understand what they are signing up for. It covers how startup equity mechanics get manipulated, so people considering joining startups know exactly what they're getting into. Time is the only asset you can't make more of, so you should know what you are trading it for.
The Trump administration had previously claimed that a TikTok deal was done, but neither TikTok, ByteDance, nor China has announced the approval of a sale.
Today's models are nowhere near the compute or efficiency ceilings of the hardware, and there's at least an order of magnitude more computation available.
It might seem like everyone is struggling with sustainable monetization for AI, but Metronome works with the companies who have actually figured it out - Anyscale, NVIDIA, Databricks, and many others. Their team has created two resources [4] to help you do the same:
Anthropic is testing a new interface for tasks in Claude's Agent mode. It is also introducing new modes for research, analysis, writing, and building. The updated interface introduces a toggle that allows users to switch between classic chat and agent modes. Screenshots of the new interface are available in the article.
Nvidia released Nemotron 3 Nano (30B parameters, 3B active) with Super (100B) and Ultra (500B) coming in early 2026, with Nano's benchmark scores rivaling or exceeding closed-source rivals. Nvidia is publishing training data and releasing libraries for agent customization in what appears to be an attempt to undermine OpenAI, Google, and Anthropic, which are increasingly developing their own chips instead of using Nvidia.
Disney's new partnership with OpenAI allows Sora to use over 200 characters from its IP catalog for one exclusive year. After that, Disney is free to partner with other AI platforms, hinting at broader content licensing strategies.
This guide walks readers through how to build a self-improving Text-to-SQL agent using dynamic context and 'poor-man's continuous learning'. The agent answers questions by retrieving data from a knowledge base. It learns from successful runs by adding to the knowledge base, creating a self-improving feedback loop. A video that shows the agent in action is available at the end of the article.
GPT-5.2 is good at instruction following and a solid choice, but it isn't 'fun' to interact with. People strongly dislike its personality. The model is heavily constrained and censored. It is not likely to solve OpenAI's 'Code Red' problems. The company will likely try again in a month with GPT-5.3.
x402 is a protocol that embeds payments directly into HTTP, allowing any API call to include a payment. It has processed over 100 million payments across APIs, applications, and AI agents since launching in May this year. This article takes a look at the protocol and how internet-native payments are becoming standard infrastructure.
Basic SaaS providers now have thousands of new competitors: engineers with a spare Friday afternoon with an agent. Not all SaaS products will be affected, but the bar is going to be much higher for those that don't have a clear moat or proprietary knowledge. Companies with strong internal technical ability will be able to replace their SaaS spend, decreasing costs, while those who don't will see dramatically increasing costs as Saas providers try to recoup lost sales.
Virtual try-on apps, AR-VR, voice - AI is opening up exciting new ways to build consumer shopping experiences. Agentic Storefronts (part of Shopify's Winter '26 release [12]) unlock AI-powered shopping for merchants with a new set of tools to help you ensure your products are discoverable and your brand stays authentic in agentic conversations.
Constrained decoding forces models to prioritize output conformance over output quality. This is because it restricts models to only consider certain tokens. Using structured output makes it harder for models to refuse requests, warn users about contradictory information, and inform users of the right approach when they ask it to use the wrong approach. Letting models respond in as natural a fashion as possible is the most effective way to get the highest quality response from them.
Google AI Ultra subscribers can now use Gemini Deep Research to generate rich visual reports complete with custom images, charts, and interactive simulations. The update can automatically illustrate data and create dynamic simulation models to forecast outcomes based on different variables. The feature combines deep analysis with dynamic visuals to transform dense data into tangible, easy-to-understand insights.
AI2 published the most comprehensive starting point for open LLM research: all checkpoints, training data, and code for OLMo 3. The walkthrough covers every stage from data mixing through the full SFT/DPO/RLVR post-training stack, including OlmoRL infrastructure that cuts RL training from 15 days to 6 days. RL with random rewards, which worked on Qwen, fails on OLMo 3.
Claude Opus 4.5 is considered the best model for coding, and it only has a context window of roughly 200,000 tokens. While some people feel like that is not a lot, that can be plenty for developers who use short threads. The best threads are short, with just the right amount of context. The longer the conversation, the more an agent's context window gets filled up with junk. You only need to give agents the context they need to get the job done, and no more.
While 'artificial general intelligence' may be out of reach, 'artificial general cleverness' is becoming a reality in many ways. General cleverness is the ability to solve broad classes of complex problems via somewhat ad hoc means. While this doesn't qualify as true intelligence, it can result in a non-trivial success rate in a wide spectrum of tasks. Viewing the current generation of tools as a generator of clever thoughts and outputs may be a more productive perspective when trying to use them to solve difficult problems.
NotebookLM integration within Google Gemini lets users attach and utilize their notebooks as live data sources. This update, currently limited to select accounts, supports multiple notebook attachments for personalized data processing. Google plans to broaden Gemini's practical utility and reach, rolling out the feature to free accounts.
Learn how 6 CX leaders from brands like ASOS, L'Occitane, Wolverine, and Nestlé use AI to deliver exceptional experiences, 1:1 personalization, and frictionless customer journeys. Get the guide
Barclays forecasts a "down-year" for crypto in 2026 as spot trading volumes cool sharply without clear catalysts to reverse the trend, revising Coinbase's price target down to $291, citing declining retail activity and rising operating costs. The bank argues market enthusiasm already priced in political tailwinds, while pending CLARITY Act legislation could ease operational uncertainty but faces Senate passage and legal challenges before practical impact materializes. Tokenization efforts from BlackRock, Robinhood, and others remain early-stage and unlikely to materially affect 2026 earnings despite long-term potential. Barclays contrasts 2026's muted outlook with prior bull-run catalysts like March 2024 spot Bitcoin ETF inflows and November's pro-crypto presidential win that drove temporary volume spikes.