Vibe coding is a new way to create software using AI tools such as ChatGPT, Cursor, Replit, and Gemini. It works by describing to the tool what you want in plain language and receiving written code in ...

Swedish vibe-coding startup Lovable has more than tripled its valuation in just five months. Stockholm-based Lovable on Thursday said it had raised $330 million in a Series B funding round that was ...

Vibe coding — the fast-growing trend of using generative AI to spin up code from plain-language prompts — is quick, creative, and great for instant prototypes. But many argue that it's not cut out for ...

You’ve probably seen the headlines: Sam Altman recently announced that GPT-5 can write complete computer programs from scratch. That’s pretty impressive! For PPC marketers who have been struggling ...

The Ultimate Career Simulator for Your FiveM Server! Transform your server into a thriving economic ecosystem! From flipping burgers to running corporations - let your players live the retail dream!

The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side. There should ...

If you’re an avid podcast fan, you’ll notice that there are (broadly speaking) two types of shows: non-narrative and narrative. Non-narrative podcasts are more freewheeling, constructed around ...

Abstract: Deep code models are vulnerable to adversarial attacks, making it possible for semantically identical inputs to trigger different responses. Current black-box attack methods typically ...

Threat actors on X are exploiting the news around Ross Ulbricht to direct unsuspecting users to a Telegram channel that tricks them into run PowerShell code that infects them with malware. However, ...

The use of network meta-analysis (NMA) in sport and exercise medicine (SEM) research continues to rise as it enables the comparison of multiple interventions that may not have been assessed in a ...

Abstract: This paper presents example-based methods for super-resolution (SR) reconstruction from a single set of low-resolution projections (or a sinogram) in positron emission tomography (PET).