Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks ...

RPTU University of Kaiserslautern-Landau researchers published “From RTL to Prompt Coding: Empowering the Next Generation of Chip Designers through LLMs.” Abstract “This paper presents an LLM-based ...

Some believe that AI firms of generic AI ought to be forced into leaning into customized LLMs that do mental health support. Good idea or bad? An AI Insider analysis.

As AI deployments scale and start to include packs of agents autonomously working in concert, organizations face a naturally amplified attack surface.

AI agents are powerful, but without a strong control plane and hard guardrails, they’re just one bad decision away from chaos.

Abstract: Large Language Models (LLMs) are widely adopted for automated code generation with promising results. Although prior research has assessed LLM-generated code and identified various quality ...

Abstract: With the advent of generative LLMs and their advanced code generation capabilities, some people already envision the end of traditional software engineering, as LLMs may be able to produce ...

The post OpenClaw Explained: The Good, The Bad, and The Ugly of AI’s Most Viral New Software appeared first on Android Headlines.

Discover Claude Opus 4.6 from Anthropic. We analyze the new agentic capabilities, the 1M token context window, and how it outperforms GPT-5.2 while addressing critical trade-offs in cost and latency.

On the Humanity’s Last Exam (HLE) benchmark, Kimi K2.5 scored 50.2% (with tools), surpassing OpenAI’s GPT-5.2 (xhigh) and Claude Opus 4.5. It also achieved 76.8% on SWE-bench Verified, cementing its ...

Ragas async llm_factory uses max_tokens instead of max_completion_tokens model arg for open ai gpt 5.2. Im using ragas to evalute answers of our chatbot based on answer faithfulness and relevancy.