Latent Space
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1 week ago
Modal raised $355 million in Series C funding as the cloud infrastructure company shifts its focus from supporting developers to supporting AI agents. The platform now emphasizes agent-native primitives like sandboxes, elastic inference, and GPU snapshotting instead of traditional Kubernetes-based infrastructure. This change means AI applications require tighter, more observable infrastructure since agents cannot rely on human developers to interpret dashboards or fill in missing context when things break.
Hugging Face Blog
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1 week ago
NVIDIA released over 10 trillion pre-training tokens and millions of post-training samples as open datasets to help developers build AI agents that can handle real-world failures and unseen workflows. The company introduced the Nemotron Post-Training v3 Prompt Atlas, an interactive map visualizing prompt samples by domain, pipeline stage, and tool use, alongside Nemotron-Personas covering more than 2.4 billion people across ten countries. By making training data transparent and using synthetic data to preserve proprietary signals without exposing sources, organizations can now contribute to shared AI development without revealing competitive advantages.
NVIDIA
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1 week ago
NVIDIA Nemotron 3 Ultra achieved the highest accuracy among open models on LangChain's Deep Agents benchmark by optimizing the system prompt, tool descriptions, and middleware rather than retraining the model. The tuned version runs at 10 times lower inference cost per run than leading closed models while achieving business task parity with the best closed models. Enterprises can now use the open NemoClaw blueprint to build and customize specialized AI agents across their workflows without vendor lock-in.
TLDR
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1 week ago
Herdr is a terminal-based agent multiplexer that displays multiple AI agents' status and output in real-time, allowing users to manage concurrent agent tasks without leaving the terminal. The tool is distributed as a single Rust binary at version 0.4.0 with support for macOS, Linux, and Windows, installable via curl or Homebrew. Sessions persist across detaches and restarts, enabling users to disconnect and reattach from any terminal or SSH connection while agents continue running.
The Neuron
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1 week ago
Norm Ai raised $120 million in Series C funding led by Khosla Ventures at a $1.2 billion valuation, bringing total funding to over $260 million in less than three years. Clients managing more than $30 trillion in assets currently use Norm Ai's legal agents, with the company also deploying supervisory agents to monitor other AI systems operating in regulated environments. The funding will support expansion of practice areas, hiring of attorneys, and development of agents designed to oversee enterprise AI deployments in regulated sectors.
Latent Space
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1 week ago
Lilian Weng published a research summary covering 35 papers on harness engineering for recursive self-improvement, framing the field's shift toward optimizing prompts and task specifications rather than direct model weight modification. The post synthesizes design trends from papers including the well-known ACE work through recent approaches like Meta-Harnesses, demonstrating that goal and context specification will remain necessary even as harness improvements get absorbed into core models. This signals a consolidation around harness-based agent design as the primary optimization frontier, influencing product development at companies including Anthropic, Google, and LangChain.
