
New research reveals a critical vulnerability in advanced reasoning AI models, where logically inconsistent prompts can force them into 'overthinking,' leading to denial-of-service attacks. This 'Evolutionary Prompt Attack' significantly increases resource consumption and poses a serious threat to commercial LLM providers like OpenAI, Google, and DeepSeek.

Alibaba's Qwen team has unveiled a novel Reinforcement Learning (RL) approach, RLVR, designed to significantly enhance data-efficient code-switched Automatic Speech Recognition (ASR). This method uses verifiable rewards and a two-pass refinement process to adapt audio-language models, achieving state-of-the-art performance with just 10% of the data typically required.
Get the top AI stories in your inbox once a day, no spam.
New stories are added every couple of hours as they break, so the feed stays current throughout the day.
We pull from 100+ sources, including company blogs, research labs, and established tech publications, then fact check and summarize each story before it goes live.
Yes. Use the sidebar filters to narrow stories down by company (OpenAI, Anthropic, Google, and more), industry, or event type like funding and research.
Yes. AI Pulse is free for anyone who wants to keep up with AI news, no sign up required. The daily newsletter is optional if you want updates in your inbox.