Search AI Products and News

Ahrefs, a leading SEO tool provider, recently released a study revealing a significant negative impact of Google's AI Snapshot feature on search engine results page (SERP) click-through rates. The study shows an average CTR drop of 34.5% for keywords where the AI Snapshot appeared. The research analyzed 300,000 keywords from Ahrefs' Keywords Explorer database, with half triggering the AI Snapshot and half not. By comparing data from March 2024 (when AI...

OpenAI recently issued an incident report acknowledging a high error rate in its Chat Completions API. The company confirmed the issue and is actively working on mitigation. Concurrently, OpenAI reported that a previous issue affecting Sora image generation has been resolved, and the team is continuously monitoring the system for stability. This incident report highlights the challenges even leading AI companies face in delivering consistently reliable services.

On March 10th, Zhiyuan Robotics officially launched its first general-purpose embodied base large model – Genie Operator-1 (GO-1). This announcement has garnered significant attention, particularly regarding its potential in home service robots and the new hope it offers for future household management. According to Zhiyuan Robotics' official introduction, the GO-1 large model, trained on a vast amount of human video data, demonstrates excellent performance in executing various household tasks such as delivering cups, preparing meals, and greeting guests. In terms of technical performance,

Recently, Vectara released a report titled 'Hallucination Ranking', comparing the performance of different large language models (LLMs) in generating hallucinations while summarizing short documents. This ranking utilized Vectara's Hughes Hallucination Evaluation Model (HHEM-2.1), which is regularly updated to assess the frequency of false information introduced by these models in summaries. According to the latest data, the report highlighted key metrics such as hallucination rates, factual consistency rates, response rates, and average summary lengths of several popular models.

Recently, Aomni announced the completion of a $4 million seed round funding led by Decibel, with participation from Sancus Ventures and Ride Home Fund. Aomni is dedicated to assisting sales teams in conducting in-depth customer research using a human-centered approach aimed at improving sales efficiency rather than replacing sales personnel. Image source note: The image is AI-generated and licensed by Midjourney. Aomni's founder, David Z.

Google once again proves the magic of technological innovation. Today, the Willow quantum chip delivered a remarkable report card, achieving two groundbreaking breakthroughs in the field of quantum computing. Since the proposal of quantum error correction theory in 1995, scientists have been tackling the most stubborn problem in quantum computing: how to control the computational errors of quantum bits. Quantum bits are extremely fragile, easily affected by environmental noise, leading to information loss. It’s like writing in the sand; even a slight breeze can wipe it away. The Willow chip has completely changed this status quo.

Recently, at the annual meeting of the American College of Radiology, the AI company DeepHealth released a new research finding on breast cancer screening, demonstrating significant effects of artificial intelligence in this area. According to the study results, the breast cancer detection rate for women undergoing AI-enhanced scans is 21% higher than for those who did not use AI. The study involved a sample size of 747,604 women and covered one year of breast cancer screening data. Image source note: Image generated by AI, image licensed through Midjourney.

According to South Korean media The Elec, Apple has recently requested Samsung to start researching a new packaging method for Low Power Double Data Rate (LPDDR) DRAM in order to further enhance the edge AI performance of the iPhone. This requirement marks Apple's continued efforts to enhance the AI capabilities of its devices. Currently, Apple's iPhone uses a Package on Package (PoP) solution, stacking LPDDR DRAM directly on top of the System on Chip (SoC), a design that has been in use since 2010.