53 articles tagged with #api. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
OpenAI has announced the release of an API that will provide developers access to their new AI models. This move opens up OpenAI's latest AI capabilities to third-party developers and applications through a programmatic interface.
Researchers propose AEX, a new attestation protocol for LLM APIs that provides cryptographic proof that API responses actually correspond to client requests. The system addresses trust issues with hosted AI models by adding signed attestation objects to existing JSON-based APIs without disrupting current functionality.
MetaMask has integrated Uniswap's API to improve token swapping functionality across more than 16 blockchain networks. This partnership aims to provide users with enhanced liquidity and faster cross-chain token trading capabilities directly through the MetaMask wallet interface.
DeepXiv-SDK introduces a new agentic data interface for scientific papers that enables AI research agents to access and process academic literature more efficiently. The SDK provides structured, budget-aware views of papers and supports progressive access patterns, currently deployed at arXiv scale with free API access.
DS-Serve is a new framework that converts massive text datasets (up to half a trillion tokens) into efficient neural retrieval systems. The framework provides web interfaces and APIs with low latency and supports applications like retrieval-augmented generation (RAG) and training data attribution.
Polymarket has acquired Dome, a prediction market API startup, signaling its strategic move to become the foundational infrastructure provider for the entire predictions industry. This acquisition represents Polymarket's expansion beyond being just a prediction market platform to building the underlying technology stack for the sector.
OpenAI will retire multiple ChatGPT models including GPT-4o, GPT-4.1, GPT-4.1 mini, and OpenAI o4-mini on February 13, 2026, alongside the previously announced GPT-5 retirement. The API services will remain unchanged at this time.
OpenAI's business model is designed to scale directly with advances in artificial intelligence capabilities, encompassing multiple revenue streams including subscriptions, API services, advertising, commerce, and compute resources. The growth strategy is fundamentally tied to increasing ChatGPT adoption and user engagement across these diverse monetization channels.
AnyLanguageModel introduces a unified API for integrating both local and remote Large Language Models on Apple platforms. This development simplifies LLM integration for developers building AI applications on iOS and macOS ecosystems.
AlphaGenome introduces a new unified DNA sequence model designed to improve regulatory variant-effect prediction and enhance understanding of genome function. The AI-powered genomics tool is now accessible through an API for researchers and developers.
A new image generation model called 'gpt-image-1' is now available through an API, allowing developers and businesses to integrate professional-grade visual creation capabilities directly into their applications and platforms. This represents an expansion of AI-powered content generation tools for commercial use.
Developers can now access next-generation audio models through an API that includes advanced text-to-speech capabilities. The new models allow for instructional voice customization, enabling developers to specify speaking styles like 'sympathetic customer service agent' for enhanced voice agent applications.
Google has made Gemini 2.0 Flash-Lite generally available for production use through the Gemini API in Google AI Studio and for enterprise customers on Vertex AI. This release enables developers to start building applications with the latest version of Google's AI model.
An API service is introducing prompt caching functionality that automatically provides cost discounts when the model processes inputs it has recently encountered. This optimization technique reduces computational overhead and costs for repeated or similar queries.
OpenAI introduces model distillation capabilities in their API, allowing developers to fine-tune smaller, cost-efficient models using outputs from larger frontier models. This feature enables users to create optimized models that balance performance and cost within OpenAI's platform ecosystem.
A new API feature called Structured Outputs has been introduced that ensures model outputs consistently follow developer-provided JSON Schemas. This enhancement improves reliability and predictability for developers building applications with AI models.
OpenAI has announced new administrative and compliance tools for ChatGPT Enterprise, including API integrations, SCIM provisioning, and GPT controls. These features are designed to help organizations manage compliance programs, enhance data security, and scale user access management more effectively.
OpenAI is introducing new features to give developers more control over their fine-tuning API and expanding their custom models program. These improvements aim to enhance the customization capabilities for AI model development.
JetBrains has integrated OpenAI's API into their developer software, creating what has become their fastest-growing product ever. This demonstrates the successful commercial application of AI tools in software development environments.
The article discusses the transition from OpenAI's proprietary models to open-source large language models (LLMs) using Hugging Face's Messages API. This development provides developers with more accessible and customizable AI model deployment options outside of closed ecosystems.
An API provider is announcing significant updates to their service including enhanced model steerability, function calling capabilities, extended context windows, and reduced pricing. These improvements represent meaningful advances in AI API functionality and accessibility for developers.
OpenAI has launched a new and improved content moderation tool called the Moderation endpoint for API developers. The tool enhances their previous content filtering capabilities and is available for free to developers using the OpenAI API.
OpenAI has launched a new embeddings endpoint in their API that enables developers to perform natural language and code tasks including semantic search, clustering, topic modeling, and classification. This represents a significant expansion of OpenAI's API capabilities for AI-powered applications.
OpenAI has removed the waitlist requirement for accessing its API, making it widely available to developers and businesses. The broader access is enabled by improvements in safety measures and protocols.
The article explains how to implement the Codex App Server, which provides a bidirectional JSON-RPC API for embedding Codex agents. The server enables streaming progress updates, tool usage, approval workflows, and diff functionality for AI agent integration.
