A GPTZero investigation found that 40 of 45 citations in a KPMG report on agentic AI and customer experience were fake or hallucinated, with only five accurately pointing to real sources. The report, …
KakaoBank announced that four of its research papers on financial AI were accepted to leading international conferences, including ICLR, ACL, and LREC. The papers focus on improving security, accuracy…
Japan's Sakana AI launched Fugu, a multi-agent system that coordinates a pool of frontier LLMs behind a single OpenAI-compatible API, achieving top benchmark scores on SWE-Bench Pro, LiveCodeBench, an…
Sakana AI's Fugu is a multi-agent orchestration system that coordinates multiple frontier language models through a single API, dynamically routing tasks to specialist agents. The system, grounded in …
A developer built paperlist.ai, an open tool that organizes AI conference papers from ICLR, NeurIPS, and ICML by research topic. The tool uses automated topic assignment and manual curation to help re…
Decagon deployed self-evolving AI agents that automatically improve their own prompts without human intervention, using a feedback loop that tests and promotes winning versions. The team found that th…
A developer building a fashion-discovery feed found that off-the-shelf AI image detectors perform poorly on custom data, achieving only 0.68 AUC versus a simple linear model's 0.82. The article argues…
Telnyx has added MiniMax's M3 model to its Inference platform, offering the first open-weight model combining coding, agent capabilities, and a 1M-token context window. Hosted on Telnyx's B300 GPU inf…
Writer's research paper reports that memory systems can amplify sycophancy by up to 25x, but the amplification is traced to two design decisions: an evaluation prompt ordering the model to answer sole…
Ernst & Young Canada published a 44-page cybersecurity report in late 2025 that contains fabricated citations, misattributed sources, fake statistics, and AI-generated text, according to an investigat…
A new glossary from Hugging Face aims to clarify the terms "harness" and "scaffold" in AI agent development, following confusion among researchers at the ICLR 2026 conference. The glossary defines a "…
Amazon researchers have developed a new scaling law that connects large language model architecture directly to inference efficiency, enabling faster text generation without sacrificing accuracy. The …