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Good news for Blue Eye Samurai fans: Netflix has shared the first trailer and release timeline for the second season of the animated series, and confirmed the series' return for a third and final season. The second season's new teaser ends with the announcement that it'll be available to stream on Netflix in January 2027, […]

Alphabet-owned company is seeking to persuade US regulators to clear a path for fully autonomous taxi services.

Senator Ron Wyden sent a letter to the U.S. federal watchdog requesting a comprehensive review of how the FBI, DEA, ICE's HSI, and the Secret Service use hacking tools and spyware against Americans.

Six weeks ago I got cut off mid-debugging session by Claude's rate limit with no warning. Two hours of context gone. I started looking for a tool that would show me how close I was before it happened. Nothing existed that worked across more than one platform without requiring an API key. So I built one. TokenPulse is a Chrome extension (MV3) that injects a live token bar above the input box on Claude, ChatGPT, Gemini, DeepSeek and Grok. It tracks context window usage, rate limits, cost estimates, and daily history — all from your existing browser session, no API key required. Here's how it works technically. Architecture overview Content Scripts (per platform) ↓ Background Service Worker ↓ Chrome Storage API (local) ↓ Popup UI ↓ Desktop Notifications The extension runs a content script on each supported domain. Each script is responsible for: Reading token usage data from that platform Injecting the visual bar above the input box Sending data to the background service worker via chrome.runtime.sendMessage The service worker aggregates data, writes to chrome.storage.local , checks notification thresholds, and serves data to the popup on demand. How Claude's rate limits are read Claude is the only platform that exposes real rate limit data through its internal API. When you use claude.ai, the browser session makes requests to a usage endpoint that returns exact utilization percentages and reset timestamps. The content script intercepts this data by hooking into the platform's network requests using a MutationObserver to detect when Claude updates its state, then reading the cached response. The response looks roughly like: { five_hour : { utilization : 0.82 , reset_at : " 2026-07-15T14:14:00Z " }, seven_day : { utilization : 0.34 , reset_at : " 2026-07-21T21:00:00Z " } } This gives exact percentages — not estimates. The popup shows these directly. Client-side token estimation for other platforms ChatGPT, Gemini, DeepSeek and Grok don't expose usage data the same way.

Technical Reconstruction of Toxic Work Culture Mechanisms Mechanisms and Their Impact Chains The evolution of workplace dynamics in large organizations has been marked by a pronounced shift from collaborative ecosystems to competitive arenas. This transformation is driven by specific mechanisms that, while often implemented with the intent to enhance productivity, inadvertently foster toxicity. Below, we dissect these mechanisms, their internal processes, and the observable effects they precipitate, elucidating the causal pathways that undermine organizational health. Performance Evaluation Systems Impact : Stackranking, hidden metrics, and PR/LoC counts incentivize individual competition, distorting the focus from collective goals to personal advancement. Internal Process : Employees, driven by survival instincts, prioritize outperforming peers over collaborative problem-solving, eroding the foundation of trust. Observable Effect : The erosion of trust and reduced team synergy directly correlate with diminished project outcomes and increased interpersonal conflicts. PIP Processes Impact : When PIP (Performance Improvement Plan) systems are weaponized punitively rather than utilized developmentally, they become tools of fear rather than growth. Internal Process : Employees perceive PIPs as existential threats, triggering stress responses that manifest as defensiveness and reduced engagement. Observable Effect : The resultant demoralization accelerates turnover rates, exacerbating recruitment costs and depleting institutional knowledge. Time Tracking Systems Impact : An overemphasis on quantifiable hours worked relegates quality and innovation to secondary priorities, fostering a culture of compliance over excellence. Internal Process : Employees, incentivized by logged hours, allocate effort disproportionately to tasks that maximize visibility rather than impact. Observable Effect : Despite inflated time logs, overall productivity declines as creative and strategic

Dan Finneran discusses the risks of unowned AI-generated code in production and demonstrates how eBPF can intercept and control AI API traffic in Kubernetes. He explains how kernel-level socket hooks enable transparent prompt filtering, model swapping, token limits, and syscall restrictions to secure AI agents without modifying application source code or restarting containers. By Dan Finneran

As the appetite for “authenticity” grows online, content creators are buying up empty boxes for luxury goods—and resellers are cashing in for “crazy prices.”

Microsoft has made the Azure DevOps Remote MCP Server generally available, offering a hosted endpoint into work items, repos, and pipelines with nothing to install. Claude Desktop, Claude Code, ChatGPT, and Cursor cannot connect yet because Entra lacks support for dynamic client registration and Client ID Metadata Documents. By Steef-Jan Wiggers

Incremental improvements fail to generate much excitement, but Google’s Pixel 11 is still an accomplished Android phone.

Getting your folder or file to github can be a bit of an off vibe due to the many steps especially if it's your first commit, but getting these steps right will make it easy for the other folders or files you will push afterwards.Let’s dive in CREATING A LOCAL FOLDER Depending on the OS you are using you can use Git Bash or the Terminal. For Linux which is what I am using I will use the Terminal First Step Start by creating a folder in the terminal: mkdir your project folder name . then change directory: cd ~/to the folder you have just created Now we need to format our folder by creating a few files inside it Data file README.md code file if you will be using code. To check if you have created these files inside your folder: run:, ls This calls out all the files that are inside your folder. Let's tackle the files we have just added. Data Folder Run command: mkdir data This creates a data folder. This is where you will add your data e.g Excel or CSV files that you will be using to run your analysis or your project. README.md Run command: touch README.md This where you will give an overview of your work, the reason you are doing the analysis,how you collected your data,the tools you used to run the analysis..Basically README.md is a file that guides anyone who goes through your analysis or project on the steps you took while doing your analysis or project.Think of it as the introduction at the start of your favourite book or novel. To write all of this you will run the command echo "#give your project a name or describe your project" >README.md README.md uses markdown language reason for the # at the beginning of the quotation.When writing the headings or subtitles use capital letters or proper style. For subtitles you need to add two ## at the beginning. If you want to write more content without overwriting what you have previously written inside the README.md file you will need to use double greater signs(>>) at the end of the quotation,run: echo #your message” >>R

Jason Kelce joked that people should cool data centers with their pee, rather than potable water -- but his suggestion is not completely ludicrous.

Affected users told TechCrunch they were using Grok Lite, and noticed the issues as early as Wednesday morning.

Ramp has launched its own AI model routing service, dubbed Router, that lets users and companies use and switch between various large language models via an API.

Fusion power startup Inertia Enterprises reduced the fuel filling process from a week to just a few hours. It's one of ten hurdles the company must overcome to make a profitable power plant.

Patreon is overhauling how creators get discovered, adding short-form Clips, topic-based communities, and a revamped recommendation system designed to give smaller creators more visibility.

Google's new HiLight notification LED on the Pixel 11 Pro is nearly useless. Out of the box, the only two things it can glow for are when the phone is face down and you're interacting with Gemini, or when you get a call from a favorite contact. And even then, it can only glow one […]

Y Combinator alumnus Apollo Atomics is shrinking a key nuclear reactor part, which promises to slash the cost of electricity below natural gas.

a16z’s Borderless Founder network initiative supports immigrant and international founders. 'Having one foot in your home country, and one foot in Silicon Valley," is an advantage, the firm believes.

Most document pipelines have a reflex. A PDF comes in, and the first instinct is: run OCR, then parse it. That reflex costs time and money on documents that never needed it in the first place. Here's the distinction that gets skipped over. A PDF generated from Word, from an invoicing system, from a web page, from almost any modern software, is "born digital." Every character on the page is already stored as text, positioned and selectable, the same way this article's text is selectable in your browser. A scanned PDF is different: it's a photograph of a page, a grid of pixels with no text underneath it at all. OCR exists to solve that second problem. It reads the pixels and reconstructs a text layer that wasn't there. PDF OCR is PDF4me's endpoint for exactly that job, and its own documentation lists "Intelligent Processing: skip OCR when text is already searchable to optimize performance" as a named feature, which is the whole thesis of this article in one line. But if the PDF already has a text layer, running it through OCR first is a wasted step: extra processing time, extra cost, extra room for OCR to introduce recognition errors into text that was already perfect. A large share of the PDFs moving through business automation, generated invoices, exported reports, system-generated confirmations, contracts drafted in Word and exported to PDF, are born digital from the start. They don't need OCR. They need something that can read the text layer that's already there and pull out exactly the values that matter. That's what Extract Text by Expression does. One regex, one endpoint POST https://api.pdf4me.com/api/v2/ExtractTextByExpression No OCR step. No AI model. No template you have to build in a dashboard first. The request is small: Parameter Type Required Description docContent Base64 String Yes The source PDF, Base64-encoded docName String Yes Filename with .pdf extension expression String Yes A standard regular expression: groups, quantifiers, and anchors all supp

Fix Next.js "params should be awaited" Error in Next.js 15+ If you are seeing the params should be awaited Next.js error after upgrading to Next.js 15 or following an older App Router tutorial, you are not alone. The error usually looks something like this: Route "/blog/[slug]" used params.slug. params should be awaited before using its properties. Sometimes it appears with searchParams . Sometimes it appears with cookies() or headers() . And sometimes the page still seems to work, but your terminal keeps shouting at you. This article will slow it down and explain the fix in a beginner-friendly way. No deep framework lecture first. Just the actual problem, the broken code, the fixed code, and the reason it works. What This Error Means in Plain English In older Next.js code, you may have treated params like a normal JavaScript object. Something like this: const slug = params . slug ; That used to feel natural. If your route was: /blog/[slug] and the user opened: /blog/my-first-post you expected: params . slug ; // "my-first-post" In newer Next.js versions, especially Next.js 15+, some request-based values became asynchronous. That means you should treat them like values that need to be waited for before you read from them. So instead of reading params.slug directly, you do this: const { slug } = await params ; That is the heart of the fix. The error is not saying your route is missing. It is not saying your [slug] folder is wrong. It is saying: You are trying to read route data before awaiting it. The common flow: the page loads, the code reads params.slug directly, Next.js expects params to be awaited, and the error appears. Why This Changed Next.js has a group of features called Dynamic APIs . That sounds more complicated than it is. In simple terms, Dynamic APIs are values that depend on the current request. For example: What route did the user open? What query string is in the URL? What cookies came with this request? What headers came with this request? Is draft