1854 stories tagged AI · page 6 of 78
OpenAI released GPT-5.6 in Kiro, a cost-effective AI model optimized for software development tasks like planning, building, reviewing, and testing code, with improved price-performance.
A new arXiv study evaluates ten AI-driven security tools, identifies common operational failures in LLM-based penetration testing, and introduces a four-dimensional Integration Friction Index to help practitioners build more reliable automated security pipelines.
Popular YouTube creators Matti Haapoja and Sam "Kold" Kolder are facing criticism for promoting Higgsfield's AI video tool Seedance 2.5, which critics say could threaten traditional filmmaking jobs.
A new research paper formalizes Spec-Driven Agentic Development (SDAD), a framework where AI agents backed by large language models ingest entire Functional Requirement Documents and repository context to autonomously deliver software, making specification quality the key driver of the AI-native SDLC.
OpenAI has voluntarily slowed some AI development to improve security and safeguards, including a two-week pause on certain projects. The move comes as the company faces intense competition from Anthropic, Chinese AI firms, and open-weight models, while also preparing for a potential IPO.
OpenAI has introduced a new blog called AI Futures to discuss how AI could transform power, governance, the economy, and personal freedoms. The blog aims to foster discussion on the broader implications of advanced AI technologies.
Researchers from ArXiv cs.AI demonstrate that current LLM safety measures fail to detect harmful intent hidden in benign text (Semantic Camouflage) and propose Latent Intent Verification to analyze internal model activations and block such attacks.
Micro1, a startup specializing in AI training data, has reached a $500 million annual revenue run rate. This growth reflects the booming demand for high-quality data to train AI models.
IBM Research introduced AltK-Evolve, a method that reduces the number of tokens AI models need to process text by dynamically adapting token allocation based on task complexity, improving efficiency over fixed-token approaches.
Palantir co-founder Alex Karp accused major AI labs like OpenAI and Anthropic of designing addictive models. He argued that open-weight models are essential to give users control and break dependency on proprietary platforms.
A powerful new AI model called Ox Alpha is freely available online, but its creators remain anonymous. Developers report it rivals top-tier models from OpenAI and Google DeepMind, sparking curiosity and concern.
Inherent, a UK AI lab founded by DeepMind alumni, released Faraday, an AI agent that can replicate scientific research papers. In a benchmark test, Faraday outperformed models from Anthropic and OpenAI, marking a step forward for AI-assisted scientific discovery.
Harvard Business School’s HBS Foundry program now includes AI avatars of instructors to give feedback on practice pitches and meetings. This blend of human expertise and AI technology aims to make startup training more accessible and interactive.
A reliability expert warns that as AI systems become more complex and are deployed in critical areas like healthcare and transportation, the industry should expect an increase in unexpected and severe failure incidents.
Chinese researchers are creating detailed AI models of American voters to potentially influence U.S. elections, raising concerns about foreign interference and the ethical use of AI in political campaigns.
A new Pew Research study estimates that 15% of online text content is now AI-generated, nearly doubling from 8% in 2025. Social media, marketing, and news automation are the primary drivers.
OpenAI has reduced the price of its GPT-5.6 Sol model by 20% across all usage tiers, effective immediately, making advanced AI capabilities more accessible to developers and businesses.
DeepSQL warns that while connecting a large language model (LLM) to a production database is straightforward, revoking that access is surprisingly difficult because LLMs retain learned data. This creates persistent security and compliance risks for companies using AI tools.
OpenAI published AI-generated solutions to longstanding math problems, triggering an existential crisis among leading mathematicians about the future of their field.
A TechCrunch AI study found that 33% of web pages published since ChatGPT's 2022 launch show signs of AI authorship, marking a major shift in online content creation and consumption.
A new arXiv position paper argues that many failures in LLM-based multi-agent systems stem from concurrency control problems—stale reads, lost updates, and inconsistent outcomes—rather than coordination or communication breakdowns. The authors contend that MAS frameworks should address these classical concurrency anomalies to improve reliability.
A new arXiv study analyzed three years of AI model releases using the Infinity-Chat100 dataset and found that newer models generate more original and diverse responses on open-ended tasks, though quality still varies.
Researchers introduced FinSkillBench, a benchmark that evaluates AI agents on domain-specific financial skills—portfolio construction, risk management, and fundamental analysis—rather than just text generation, to ensure reliable and auditable outputs for investment management.
A new position paper on arXiv argues that AI leaderboards are structurally ill-suited to serving the Global South due to a lack of independent governance, conflict-of-interest policies, and metric evolution mechanisms. The paper emphasizes that the barrier is not missing data—high-quality regional benchmarks like IndicSUPERB, MILU, and LAHAJA for India, IrokoBench for Africa, and AlGhafa for Arabic already exist—but rather institutional design and commercial pressure.