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Australia was the first country to issue a ban in late 2025, aiming to reduce the pressures and risks that young users may face on social media, including cyberbullying, social media addiction, and exposure to predators.
Over the past decade, streaming platforms competed by dominating individual formats like music, video, podcasts, or audiobooks. Now, as AI makes it easier to create, organize, and recommend content, those distinctions are fading, pushing companies like Spotify, Netflix, YouTube, and TikTok to become all-purpose entertainment destinations instead.
Taylor Farms stirred confusion on FDA test and provided a vague recall list.
Pat Gelsinger wants to pave the way to ever more powerful artificial intelligence using tiny beams of light.
When a learner finishes a course they want a certificate that behaves like a document: something they can print at full quality, attach to a job application and that an employer can check is genuine. In this tutorial you'll build exactly that in Laravel: a Blade-designed certificate rendered as a vector PDF, with a QR code that resolves to a verification page and an email that delivers it automatically. This post originally appeared on Accreditly as How to generate verifiable PDF certificates in Laravel . Keep the design in Blade The certificate is an ordinary Blade view. Everything lives in one file, styles inline, so the markup you preview in the browser is exactly what gets rendered. If you want a designed starting point rather than a blank page, the certificate of completion template is a good base to adapt. {{-- resources/views/certificates/template.blade.php --}} <!doctype html> <html> <head> <meta charset="utf-8"> <style> body { font-family: Georgia, serif; color: #1a2233; margin: 0; } .certificate { padding: 60px; border: 6px double #b28a2f; margin: 24px; text-align: center; } .heading { font-size: 15px; letter-spacing: 4px; text-transform: uppercase; color: #b28a2f; } h1 { font-size: 44px; margin: 24px 0 8px; } .course { font-size: 22px; margin: 4px 0 28px; } .issued { font-size: 15px; color: #5a6478; } .qr { margin-top: 36px; } .verify-url { font-size: 12px; color: #5a6478; } </style> </head> <body> <div class="certificate"> <p class="heading">Certificate of Completion</p> <h1>{{ $certificate->user->name }}</h1> <p class="course">has completed {{ $certificate->course }}</p> <p class="issued">Issued {{ $certificate->issued_at->format('j F Y') }}</p> <div class="qr"> {!! QrCode::size(110)->generate(route('certificates.verify', $certificate)) !!} </div> <p class="verify-url">{{ route('certificates.verify', $certificate) }}</p> </div> </body> </html> Two things are doing quiet work here. The design flows like a document rather than being pinned to fixed pixel
Anthropic blocks authors from opting out of $1.5B settlement at last minute.
There are new 3.6 and 3.5 models today, but Google is already training Gemini 4.
With the new "Replace Audio" tool, users can update the music on their post at any time while keeping the post's existing likes, comments, shares, and reach intact.
With the new tools, parents and guardians will be able to view their teen's time spent on Threads, set daily time limits, adjust sleep mode, and manage their privacy settings.
Kimi K3 took first place in Arena's Frontend Code evaluation the week it launched, and it holds a 1M-token context — but Moonshot doesn't ship a coding agent, and your coding agent doesn't ship Kimi K3. Claude Code is locked to Anthropic's API by default, Cursor to its own backend, Cline to whatever key you hand it. LLM Gateway bridges that gap. It speaks both the Anthropic and OpenAI API formats, so the tools you already use can run Kimi K3 — or any of 200+ models — with a base-URL change. Here is the exact setup for each tool. Kimi K3 in Claude Code Claude Code talks to any endpoint that speaks Anthropic's /v1/messages format, which LLM Gateway does natively. Three environment variables: export ANTHROPIC_BASE_URL = https://api.llmgateway.io export ANTHROPIC_AUTH_TOKEN = $LLM_GATEWAY_API_KEY export ANTHROPIC_MODEL = kimi-k3 claude That's the whole migration. Every request now routes through LLM Gateway to Kimi K3, and every request shows up in your dashboard with its exact cost, token counts, and cache-hit rate. One refinement worth adding: Claude Code uses a second, smaller model for routine background work, and you can point it at something cheap — or free: export ANTHROPIC_SMALL_FAST_MODEL = glm-4.7-flash-free That puts K3 on the hard reasoning and a $0 model on the housekeeping. Kimi K3 in Cursor Cursor routes its chat / plan panel (Cmd/Ctrl + L) through a custom OpenAI-compatible endpoint. Setup: Open Cursor Settings → Models Add your LLM Gateway key under OpenAI API Key Enable Override OpenAI Base URL and set it to https://api.llmgateway.io/v1 Add kimi-k3 as a custom model and select it Be aware of the boundary: Cursor's Composer, inline edit (Cmd/Ctrl + K), and autocomplete are locked to Cursor's own backend and will not route through any external endpoint. Plan and chat with K3's full 1M context in Cursor; if you want K3 driving the actual agent loop, use Claude Code or Cline instead. Kimi K3 in Cline Cline is the straightforward one — it's built to bring y
Nvidia’s Vera Rubin platform combines CPUs and GPUs into a single system, reflecting the company’s growing ambition to power every layer of AI infrastructure.
TikTok recently settled its portion of the case with the plaintiff ahead of a jury trial that starts next week in Los Angeles. YouTube has also reached a deal, leaving Meta as the only remaining defendant.
Learn more about Paramount's planned acquisition of Warner Bros. Discovery — a historic Hollywood megadeal valued at $111 billion — as it continues to develop.
Deezer said more than 90,000 AI-generated tracks were uploaded daily on the platform in June.
More than one-eighth of apps analyzed contained foreign code.
It starts at just under $25,000, but the hybrid won't arrive until next year.
Halliday’s G2 glasses can listen to and summarize your workplace meetings—with no video involved.
The conversation about AI often centers on algorithms, computing power, or huge investments in new semiconductor fabrication plants and hyperscale data centers. But beneath each of these advances is another layer of innovation that makes them possible: advanced materials. Every new generation of AI technology demands more processing power, more memory, greater energy efficiency, and…
Last month, more than a hundred Stanford students left their own graduation to protest Google’s military contracts and deals with ICE. Two organizers, Amanda Campos and Eva Jones, tell us why.
Bhavuk Jain discusses translating foundational AI into scalable mobile products. He shares the engineering challenges behind AI Wallpapers and Circle to Search, detailing how to implement robust runtime guardrails, fine-tuning, and seamless OS integration. For engineering leaders, he explains balancing UX constraints with model latency and infrastructure cost to deliver safe, reliable AI. By Bhavuk Jain