OpenAI is an American AI research laboratory founded in 2015, known for creating ChatGPT, the GPT series of large language models, and DALL-E image generators. It is one of the most influential AI companies in the world.
Aikido Security identified at least 15 malicious plugins on the JetBrains Marketplace that steal AI provider API keys from developers, with close to 70,000 total installs. The plugins, targeting DeepS…
Z AI's GLM-5.2 achieved the highest score of 51 on the Artificial Analysis Intelligence Index, becoming the top-performing open-weight model. The model features a 1 million token context window and is…
The Hard Times published a satirical opinion piece titled 'Opinion: AI Will Never Replace Deez Nuts,' using crude humor to mock claims that artificial intelligence will replace human labor. The articl…
OpenAI published a new pre-deployment safety method called Deployment Simulation, which replays past conversations through a candidate model to estimate undesired behavior frequency before release. Th…
A developer built a command-line Topic Explainer using Oxlo.ai's API and the llama-3.3-70b model, demonstrating system prompts, message history, and streaming for beginners. The project includes a reu…
OpenAI updated its Ad Tools Terms Document to allow AI-powered creative tools for generating, modifying, and optimizing advertising creatives. The company launched a self-serve Ads Manager, removed a …
OpenAI expanded ChatGPT's voice input to support over 70 languages with automatic language detection on Android and iOS, and released three new developer models—GPT-Realtime-2, GPT-Realtime-Translate,…
G7 leaders discussed a proposed 'trusted partners' framework to exempt allied nations from sweeping US restrictions on frontier AI models imposed June 12. Commerce Secretary Howard Lutnick pitched the…
SpaceX has acquired Anysphere, the maker of the AI coding agent Cursor, to build a proprietary AI coding agent model. The deal signals a shift toward vertical integration in developer tools, with plan…
Local AI servers fail to answer company-specific questions because they lack access to business data. RAG (Retrieval Augmented Generation) and MCP (Model Context Protocol) solve this by giving AI perm…
OpenAI's Codex model completed a single 25-hour coding run, consuming approximately 13 million tokens, after the company acquired the startup behind the technology to enhance its AI coding capabilitie…
A new study reveals that large language models exhibit a strong brand bias, recommending well-known brands 100% of the time when product specifications are identical, but this dominance can be broken …
Microsoft is evaluating DeepSeek's AI models for integration into its Copilot Cowork platform, according to sources familiar with the discussions. The move could provide a cost-effective alternative t…
OpenAI researchers tested whether public chat data from WildChat can predict real-world AI misalignments, finding that deployment simulations using public conversations can estimate rates of undesirab…
A developer from Gate of AI published a tutorial on fine-tuning large language models for specialized communication tasks, using homeless shelters as a case study. The tutorial demonstrates how to str…
Oxlo.ai demonstrates how few-shot learning with large language models enables domain-specific classification without weight updates, using in-context learning to infer patterns from exemplars. The com…
Loomcycle, an open-source sidecar runtime for AI agents, has reached v1.0 under the Apache-2.0 license. The Go binary provides a hardened agent loop, MCP support on both sides, multi-replica high avai…
South Korea became the fourth country to form an AI security alliance with OpenAI, signing an MOU to collaborate on global AI safety evaluation frameworks and develop assessment standards reflecting K…
Headroom, a context compression layer for AI agents, reduces token usage by 60–95% by compressing tool outputs, logs, and conversation history before they reach the LLM. The open-source tool offers mu…
A developer at a Fortune 100 manufacturer describes the production guardrails for enterprise AI agents, emphasizing that the most critical controls are pre-existing infrastructure like IAM, network eg…