Here's what beginners need to know to vibe code securely. The term vibe coding has spread across the tech world since early last year, after OpenAI co-founder Andrej Karpathy wrote about his experience of generating code by just talking to an AI model without really thinking about the code itself. I just see stuff, say stuff, run stuff, and copy paste stuff, and it mostly works, he wrote in the X post that sparked the term. In the tech industry, vibe coding is now the new normal. While it's a powerful way to move faster with less resources, generating code with AI that you don't fully understand or haven't reviewed can pose serious security risks to yourself, your devices and anyone using your app.

Vibe coding allows people to use AI to build software without writing code themselves. And now, free AI-generated alternatives to popular programmes like Premiere Pro and Excel are emerging, sparking security concerns and hidden costs. Israeli'ad' firm helped infect spyware into Al Jazeera devices

As AI development rapidly expands, people are replicating paid-for desktop and mobile apps with free apps, potentially changing the future of legacy software. Last week, a Reddit user named Brandon Thomas shared a project called "ArtCraft" - essentially a free rebuild of the Adobe Creative Suite, which includes programmes such as Photoshop and Adobe PDF. The recreated services have been named PhotoCraft and PdfCraft. Earlier this week, ArtCraft also released copies of the Microsoft Office suite. As with the Adobe package, ArtCraft has announced WordCraft, DeckCraft, and GridCraft, taking on Microsoft Word, PowerPoint, and Excel.

Proponents of vibe coding argue LLMs democratize software development, allowing anyone to make their own apps. My neighbor used to work as a veterinary tech. She vibe coded an app to make tracking her senior cat's insulin shots easier. On the other side, critics argue vibe coding is producing vulnerable software. Extensive use can also make a codebase more difficult to maintain, since there's a good chance a vibe coder doesn't know enough about coding to fix an error if an LLM can't address it for them.

Poolsuite brings endless-summer vibes to your browser with upbeat music and a playful throwback look. Poolsuite is the perfect internet radio station for when you want to put on some sunglasses, pull up a beach chair, grab a cold one, and refuse to admit summer will ever end. The site features a sun-soaked mix of retro graphics, palm trees, poolside clips, and breezy music. The whole thing feels like an '80s vacation ad crossed with a swanky beach bar DJ. Since it's a curated internet radio station, you don't need to build playlists or dig through albums yourself.

Many decision-making tasks, where both accuracy and efficiency matter, still require human supervision. For example, tasks like traffic officers reviewing hour-long dashcam footage or researchers screening conference videos can benefit from concise summaries that reduce cognitive load and save time. Yet current vision-language models (VLMs) often produce verbose, redundant outputs that hinder task performance. Existing video caption evaluation depends on costly human annotations and overlooks the summaries' utility in downstream tasks. We address these gaps with Video-to-text Information Bottleneck Evaluation (VIBE), an annotation-free method that scores VLM outputs using two metrics: grounding (how well the summary aligns with visual content) and utility (how informative it is for the task). VIBE selects from randomly sampled VLM outputs by ranking them according to the two scores to support effective human decision-making. Human studies on LearningPaper24, SUTD-TrafficQA, and LongVideoBench show that summaries selected by VIBE consistently improve performance--boosting task accuracy by up to 61.23% and reducing response time by 75.77% compared to naive VLM summaries or raw video. 2

Many decision-making tasks, where both accuracy and efficiency matter, still require human supervision. For example, tasks like traffic officers reviewing hour-long dashcam footage or researchers screening conference videos can benefit from concise summaries that reduce cognitive load and save time. Yet current vision-language models (VLMs) often produce verbose, redundant outputs that hinder task performance. Existing video caption evaluation depends on costly human annotations and overlooks the summaries' utility in downstream tasks. We address these gaps with $\underline{\textbf{V}}$ideo-to-text $\underline{\textbf{I}}$nformation $\underline{\textbf{B}}$ottleneck $\underline{\textbf{E}}$valuation (VIBE), an annotation-free method that scores VLM outputs using two metrics: $\textit{grounding}$ (how well the summary aligns with visual content) and $\textit{utility}$ (how informative it is for the task). VIBE selects from randomly sampled VLM outputs by ranking them according to the two scores to support effective human decision-making. Human studies on $\texttt{LearningPaper24}$, $\texttt{SUTD-TrafficQA}$, and $\texttt{LongVideoBench}$ show that summaries selected by VIBE consistently improve performance--boosting task accuracy by up to $61.23$% and reducing response time by $75.77$% compared to naive VLM summaries or raw video.

So Claude and I tried to make a database for tracking the petty grievances of the masses. The dog that ushered me into the technological future was "low and thick." That's all my mother registered before it T-boned her in a city park earlier this year: dense, heavy, and traveling fast enough to fracture her right tibia. Let's discuss what this set in motion in my life: Having successfully learned nothing about coding for two and a half decades, I would soon be attempting my very first software development project. If you've ever had a low and thick dog break your mom's shin bone, you know the stream of lesser indignities that follows.

The company believes AI-generated content is the future of social platforms. Meta is developing a standalone app for Vibes, its feed of AI-generated videos, according to reports from and . Vibes was introduced as a feature in the Meta AI app in September 2025. Similar to OpenAI's Sora app, Vibes lets users prompt Meta AI to create TikTok-style vertical videos. Following the strong early traction of Vibes within Meta AI, we are testing a standalone app to build on that momentum, Meta said in a statement.

The Download: solar geoengineering's future, and OpenAI is being sued Solar geoengineering aims to manipulate the climate by bouncing sunlight back into space. In theory, it could ease global warming. But as interest in the idea grows, so do concerns about potential consequences. A startup called Stardust Solutions recently raised a $60 million funding round, the largest known to date for a geoengineering startup. My colleague James Temple has a new story out about the company, and how its emergence is making some researchers nervous. So far, the field has been limited to debates, proposed academic research, and--sure--a few fringe actors to keep an eye on.