Our framework for developing safe and trustworthy agents
Anthropic publishes framework for developing safe and trustworthy autonomous agents with specified governance principles.
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Archive
The Archive
Search the full wire by company, model, lab, or keyword. Every story we have ever aggregated.
Resolving digital threats 100x faster with OpenAI
Outtake uses GPT-4.1 and OpenAI o3 agents to detect security threats 100x faster.
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Model ML is helping financial firms rebuild with AI from the ground up
Model ML CEO discusses AI-native infrastructure and autonomous agents for financial services transformation.
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No-code personal agents, powered by GPT-4.1 and Realtime API
Genspark built $36M ARR no-code agent product in 45 days using GPT-4.1 and OpenAI Realtime API.
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Devstral
Devstral: Mistral AI open-source model optimized for autonomous coding agents and software development.
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BrowseComp: a benchmark for browsing agents
OpenAI introduces BrowseComp benchmark for evaluating web browsing agent capabilities.
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PaperBench: Evaluating AI’s Ability to Replicate AI Research
PaperBench: new benchmark measuring AI agents' ability to replicate state-of-the-art research papers.
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Moving from intent-based bots to proactive AI agents
OpenAI shifts from intent-based bots to proactive AI agents architecture.
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Automating 90% of finance and legal work with agents
Hebbia's AI platform claims to automate 90% of finance and legal work tasks using OpenAI models.
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Introducing next-generation audio models in the API
OpenAI released advanced text-to-speech and speech-to-text APIs with customizable voice instructions for voice agents.
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Grok 3 Beta — The Age of Reasoning Agents
xAI unveils early preview of Grok 3, emphasizing advanced reasoning and agentic capabilities.
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Google DeepMind at NeurIPS 2024
Google DeepMind presents NeurIPS 2024 research spanning adaptive agents, 3D scene generation, and LLM training safety.
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MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
MLE-bench introduces benchmark for evaluating AI agents on machine learning engineering tasks.
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Automating customer support agents
MavenAGI launches GPT-4-powered customer service agent; Tripadvisor, Clickup, Rho deploy for support automation.
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Klarna's AI assistant does the work of 700 full-time agents
Klarna is using AI to revolutionize personal shopping, customer service, and employee productivity.
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Learning to play Minecraft with Video PreTraining
We trained a neural network to play Minecraft by Video PreTraining (VPT) on a massive unlabeled video dataset of human Minecraft play, while using only a small amount of labeled contractor data. With fine-tuning, our model can learn to craft diamond tools, a task that usually takes proficient humans over 20 minutes (24,000 actions). Our model uses the native human interface of keypresses and mouse movements, making it quite general, and represents a step towards general computer-using agents.
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