Nous Research releases Hermes 4
Hermes 4 combined open-weight reasoning with general instruction following across several model sizes.
Short posts on models, agents, APIs, and the companies building them
Hermes 4 combined open-weight reasoning with general instruction following across several model sizes.
Anthropic posted “Detecting and Countering Malicious Uses of Claude.” A quick update for the record.
Anthropic posted “Claude Code and new admin controls for business plans.” A quick update for the record.
OpenAI launched ChatGPT agent on July 17, 2025, allowing the system to operate tools and complete multi-step tasks.
Shared artifacts could become AI-powered apps whose usage runs against each visitor’s Claude account.
A higher-compute o3 variant reached Responses and Batch while standard o3 pricing fell.
OpenAI added direct preference optimization fine-tuning for the GPT-4.1 family.
The agent orchestration SDK expanded beyond Python to TypeScript.
Ukrainian developers announced a GOGOL-M trial in which a mothership released smaller strike drones that navigated toward assigned targets.
A Files API, managed MCP connector, and one-hour prompt cache arrived together.
Claude gained a sandboxed Python execution tool for analysis and visualizations.
Long-running responses could execute asynchronously with improved reliability.
OpenAI expanded Responses with code execution, image generation, and improved file search.
OpenAI let Responses connect directly to remote Model Context Protocol servers.
Gemini SDK tooling began supporting the Model Context Protocol for external tools and data.
Developers could pass links for Gemini to use as context in a request.
Long-running tools could return results later without blocking the active model session.
Google previewed native audio output and a more expressive Live API at I/O.
Claude API calls could retrieve current web information with citations.
Eligible customers gained at-rest data residency options in Japan, India, Singapore, and South Korea.
Enhanced budget alerts and auto-recharge limits gave developers more control over spend.
The image model behind ChatGPT became available for generation and editing through the API.
OpenAI released two reasoning models with stronger tool use and visual reasoning.
GPT-4.1, mini, and nano emphasized coding, instruction following, and a one-million-token context window.
New speech-to-text and text-to-speech models targeted more capable voice agents.
OpenAI released a higher-compute version of o1 through Responses and Batch.
Cache-aware rate limits and token-efficient tool use reduced cost and output tokens.
The new SDK added orchestration, handoffs, guardrails, and tracing for agent workflows.
A new API primitive combined model responses with built-in web, file, and computer tools.
Anthropic refreshed the Console to shorten the path from prompt testing to production.
OpenAI made the GPT-4.5 research preview available to developers.
Grok 3 and Grok 3 mini added longer reasoning and were trained with substantially more compute on xAI's Colossus cluster.
Eligible API customers could choose Europe for data stored at rest.
OpenAI launched Deep Research on February 2, 2025, enabling longer web research tasks with cited reports.
OpenAI posted “Deliberative alignment: reasoning enables safer language models.” A quick update for the record.
Anthropic posted “Aligning on child safety principles.” A quick update for the record.
Anthropic posted “Claude is now available in Brazil.” A quick update for the record.
Anthropic posted “A General Language Assistant as a Laboratory for Alignment.” A quick update for the record.
Anthropic posted “Discovering Language Model Behaviors with Model-Written Evaluations.” A quick update for the record.
Anthropic posted “Language Models (Mostly) Know What They Know.” A quick update for the record.
Anthropic posted “Measuring Faithfulness in Chain-of-Thought Reasoning.” A quick update for the record.
Anthropic posted “Measuring Progress on Scalable Oversight for Large Language Models.” A quick update for the record.
Anthropic posted “Question Decomposition Improves the Faithfulness of Model-Generated Reasoning.” A quick update for the record.
Anthropic posted “Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.” A quick update for the record.
Anthropic posted “Studying Large Language Model Generalization with Influence Functions.” A quick update for the record.
Anthropic posted “The Capacity for Moral Self-Correction in Large Language Models.” A quick update for the record.
Anthropic posted “Towards Measuring the Representation of Subjective Global Opinions in Language Models.” A quick update for the record.
Anthropic posted “Towards Monosemanticity: Decomposing Language Models With Dictionary Learning.” A quick update for the record.
Anthropic posted “Towards Understanding Sycophancy in Language Models.” A quick update for the record.
Anthropic posted “Frontier Model Security.” A quick update for the record.