Meta launched Muse Spark 1.3 with stronger coding performance and efficiency claims, but independent tests show higher task costs and mixed benchmark results.
Meta launched Muse Spark 1.3 with stronger coding performance and efficiency claims, but independent tests show higher task costs and mixed benchmark results.
Fruit flies aren't exactly famous for their brainpower; you've probably drowned more than one in a wine glass left too long on the patio table. And yet, working with roughly 140,000 neuronsβa brain smaller than a poppy seedβDrosophila can sort through a huge range of smells in a fraction of a second, and then retain the memory of that scent for a long time.
In this, they do much better than current "electronic noses." Even the most advanced ones on the market tend to be expensive, painfully narrow in what they can detect, and quick to forget an odor the moment they learn a new one.
So why not just copy the fly? That's the question a growing number of researchers have been askingβincluding Kevin Max and Yang Shen at the Okinawa Institute of Science and Technology, whose new algorithm, Spi-Fly, is described in a paper recently published in the journal Neuromorphic Computing and Engineering.
Meta's latest AI-based project launch wants to make that kind of vibe coding as instantly accessible as posting on social media. Pocketβwhich launched in the US last Friday, August 21, after Meta acquired the staff behind the now-defunct vibe-coding app Gizmo in Marchβis a mobile app that lets users create fully functional interactive "gizmos" just by typing prompts into a text box, without even the option to look at a line of code. Those gizmos can then be shared with the world in a TikTok-style endless scroll complete with likes, comments, reposts, and all the other hallmarks of social media addiction.
After playing around with Pocket for the better part of a week, I found myself getting hooked on the simple process of quickly standing up functional, relatively feature-rich game prototypes simply by chatting with an LLM. But the result of all that time and AI effort is a couple of interactive toys that are effectively trapped in Meta's new walled garden, without any real way to turn them into something separate.
At Black Hat USA 2026, Novee found GitHub workflow flaws in Claude Code, Gemini CLI and Codex that enabled RCE, credential theft and agent control in pipelines.
I've spent my career figuring out what makes content stick, from early work for brands like Apple and onward across two decades across film, animationΒ and generative AI. Different tools every few years, same question underneath. What makes someone lean in instead of tuning out?
A three-line SVG gave XBOW SYSTEM access on Bing's servers through a default ImageMagick setting. Here's the exploit chain and a checklist for anyone running a similar image pipeline.