A “diff” tool for AI: Finding behavioral differences in new models
A new interpretability method compares models with different architectures to surface behavioral differences, tested across four open-source models.
Towards measuring the representation of subjective global opinions in language modelsAnthropic
Red teaming language models to reduce harmsAnthropic
Reasoning models don't always say what they thinkAnthropic
Auditing language models for hidden objectivesAnthropic
Decomposing language models into componentsAnthropic
Vibe physics: The AI grad studentAnthropic
10 best AI observability tools for monitoring and evaluating agents in 2026Mintlify
State of Speech: Our New Data Report Reveals ASR’s Untapped Potential - Deepgram Blog ⚡️Deepgram
New Spanish and Turkish Language Models and Updated General Models - Deepgram Blog ⚡️Deepgram
Automate Audio Transcription with Zapier + DeepgramDeepgram
Let’s Play Master and Servant: Real Time Synchronization Tool for Redis MigrationRedis
AI frameworks: Definition, types, and how to chooseZapier
Discovered Stacks: One Place for All Your InfrastructurePulumi
How Hunch supercharged AI workflows with Modal SandboxesModal
Anthropic integration with Modal brings scalable compute to Claude ScienceModal
Building a Remote MCP Server: OAuth, Tool Design & Lessons from 4,000+ AI Queries | MotherDuckMotherduck
Introducing DocChat: GPT-4 Level Conversational QA Trained In a Few Hours - CerebrasCerebras
Cerebras Systems Enables GPU-Impossible™ Long Sequence Lengths Improving Accuracy in NaturalCerebras
How to Run Hugging Face Models Programmatically Using Ollama and TestcontainersDocker
How to Use Google NotebookLM: The AI-Powered Research AssistantHeygen
