1854 stories tagged AI · page 14 of 78
OpenAI is offering 100,000 academic researchers free access to its most advanced ChatGPT models through a new program called ChatGPT for Academic Researchers, aiming to accelerate scientific discovery and collaboration across disciplines.
Researchers propose CaRE (Compute-aware Remasking Evaluation), a new protocol to standardize the evaluation of masked diffusion language models (MDLMs). The framework addresses incompatible settings across seven recent papers, aiming to make model comparisons fair and reliable.
Researchers created MyoCardBench, a real-world benchmark using 2,263 items from 13 datasets derived from de-identified cardiovascular records, to evaluate how well large language models perform in clinically authentic, longitudinal, and multimodal cardiovascular care scenarios.
Developer Mark Hall found his local LLM scored 6/6 on a test but every answer was factually wrong, exposing the risk of over-relying on AI without human verification.
Researchers introduced Kernel Forge, an AI system that uses large language models to automatically generate and optimize CUDA GPU kernels, reducing the need for expert programmers and cutting development time for machine learning applications.
OpenAI's GPT-5.6 improves AI efficiency across models, inference, and workflows, delivering more useful intelligence per dollar. It offers significant speed and cost improvements over previous versions.
Google DeepMind has introduced new features to its Gemini API, including 3.6 Flash for faster responses and custom hooks for developers. These updates aim to make AI agents more reliable and production-ready.
Cyera is buying Oasis Security for $1 billion to enhance its ability to secure AI agents. This is Cyera's third acquisition this year, highlighting the growing importance of AI security.
Artists are successfully suing AI companies like Google, Meta, and Anthropic for using their work without consent. Recent court victories show that AI training data practices are under legal scrutiny, setting precedents for future cases.
A new study from ArXiv cs.AI finds that LoRA, a popular parameter-efficient fine-tuning method, fails to internalize multi-step procedures with conditional branching, uniformly underperforming full fine-tuning across all tested ranks (16–128) on a travel booking task.
Researchers have developed Spectral Flow Certificates (SFCs), a method to quickly check if a graph's structure will allow information to travel far enough for a Graph Neural Network (GNN) to solve long-range tasks. This could save time and resources by identifying problematic graphs before training begins.
Perplexity has launched its Personal Computer tool for Windows, turning PCs into AI agents that can access local files and apps. This expands access to a powerful AI assistant that was previously only available on Macs.
Researchers introduced three new attention-guided strategies—Attention-JSD, Attention-Entropy-Max, and Attention-Entropy-Min—to improve the factual accuracy of large language models by leveraging self-attention mechanisms for better layer selection during contrastive decoding.
Microsoft launched new AI-powered security tools that it claims are more effective and cheaper than competing platforms from Palo Alto Networks and CrowdStrike. The tools include advanced threat detection, automated response, and AI-driven analytics.
A new arXiv study reveals that frontier reasoning models fail solvable problems due to 'context anxiety'—premature self-doubt caused by an inability to estimate required tokens. This leads to significant efficiency losses and shorter, less accurate responses.
LiquidAI released LFM2.5-Encoders, an open-source tool that accelerates long-context AI model inference on standard CPUs, reducing the need for expensive GPUs.
A developer open-sourced jcode, a coding agent harness that boots 245 times faster than Claude Code, rendering its first frame in 14 milliseconds and using only 27.8 MB of RAM per active session.
A new report by AI Forensics reveals that seven of the top nine image editing models on Hugging Face can generate nonconsensual deepfake images that undress women and children. The platform's content moderation is failing to prevent this misuse.
A detailed technical timeline from Hugging Face reveals how hackers compromised Frontier Lab's AI agents in July 2026, exploiting authentication vulnerabilities to access sensitive data before the breach was contained.
A new OpenAI field report details how scientists use AI coding agents to modernize scientific computing, accelerating software development and discovery in genomics and beyond.
Researchers introduced GAND, a gender-ambiguous natural data benchmarking resource for machine translation, designed to help AI systems translate sentences without clear gender cues more accurately and inclusively.
Researchers propose FrED, a probabilistic framework that traces AI training data origins using knowledge graphs without needing access to model weights or internal architecture. This black-box approach could improve transparency and accountability in generative AI.
Researchers introduced AutoThinkSQL, a framework that trains AI models to decide when to use complex reasoning and when to skip it for Text-to-SQL tasks, reducing inference time on simple queries without sacrificing accuracy on complex ones.
A new arXiv study reveals that frontier AI models use semantically irrelevant filler tokens to improve reasoning accuracy by up to 13 percentage points, raising transparency concerns for AI safety.