OpenAI deploys Cerebras chips for 15x faster code generation in first major move beyond Nvidia

OpenAI launches GPT‑5.3‑Codex‑Spark, a Cerebras-powered, ultra-low-latency coding model that claims 15x faster generation ...
2UrbanGirls on MSN

6 no-code AI app builders that survived real testing

I spent three weeks testing no-code AI app builders after watching demos that promised perfect apps from single sentences.
Communications of the ACMOpinion

When AI Tools Train on AI Output: Model Collapse in Daily Workflows

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...
GitHub

DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation

Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in automated front-end engineering, e.g., generating UI code from visual designs. However, existing front-end UI code ...
IEEE

Random Perturbation Attack on LLMs for Code Generation

Abstract: Large language models (LLMs) have shown impressive capabilities in coding tasks, including code understanding and generation. However, these models are also susceptible to input ...
GitHub

HAIV-Lab/OSPCoOp_Imagenet-bg

To further test the robustness of the model against background interference, we propose an ImageNet background interference test set, ImageNet-Bg, based on the ImageNet validation set with 48,285 ...
IEEE

HaVen: Hallucination-Mitigated LLM for Verilog Code Generation Aligned with HDL Engineers

Abstract: Recently, the use of large language models (LLMs) for Verilog code generation has attracted great research interest to enable hardware design automation. However, previous works have shown a ...