Agent Observability with LangSmith, Langfuse, and Arize: A Hands-On Comparison
Your AI agent works great in testing. Then you ship it, and something kinda breaks. A tool called loops forever, like it never learns. A retrieval step returns garbage and costs spike. You have no idea why, at all. That’s the agent observability problem. And if you’re building with LLMs, you need to...
Amazon will show AI product images when you search for some reason
Amazon will use visual search and AI to show AI generated product images that match your search queries. The retailer says it will help guide users to products.
NVIDIA Research Unlocks Advanced Grasping, Smarter Autonomous Driving and Agent Training at Scale
What makes a robot gripper useful isn’t that it can pick up one object — it’s that it can pick up the next one, and the one after that, with a tool it’s never held before. What makes an autonomous vehicle system safe isn’t just that it can reason through a situation — it’s that […]
NVIDIA Enables the Next Era Of Physical AI Research With Agent Skills For Autonomous Vehicles, Robotics And Vision AI
At CVPR, NVIDIA is unveiling new physical AI agent skills that help researchers and developers speed the development of autonomous vehicles, robots and vision AI systems. The core challenge in physical AI research isn’t simply developing stronger models. It’s building a full workflow around them — r...
Publishers will be able to opt out of AI Search, thanks to new regulation
U.K. regulators are requiring Google offer a tool allowing website publishers to opt-out of generative AI search features. The option will be tested in the UK then rolled out globally.
I Built a C++ Backend So My GPU Would Stop Eating Air
A comprehensive guide to optimizing LLM inference by eliminating padding overhead with hardware-aware sequence packing.
The post I Built a C++ Backend So My GPU Would Stop Eating Air appeared first on Towards Data Science.
AI Reality Check: AI-Driven Pricing - How Companies Quietly Manipulate Markets
AI-driven pricing is reshaping markets through algorithmic collusion, personalized price discrimination, and behavioral manipulation—often without oversight.
How Wasmer used Codex to build a Node.js runtime for the edge
See how Wasmer used Codex with GPT-5.5 to build a Node.js runtime for the edge, accelerating development 10x to 20x and shipping in weeks instead of months.
How to set the rules that keep agents effective and out of trouble
The post What AI Agents Should Never Do on Their Own appeared first on Towards Data Science.
As syntax becomes cheap and abundant, architectural control becomes the scarce resource. Effective governance starts upstream, where intent, constraints, and threat models shape the agent’s working context before generation begins. The goal isn’t better prompting but build-time boundaries that preve...
Nous Research Releases Hermes Desktop: A Native Cross-Platform Front End for Hermes Agent v0.15.2 with Streaming Tool Output
Hermes Desktop is a no-terminal GUI sharing one agent core, skills, and memory with the Hermes Agent CLI.
The post Nous Research Releases Hermes Desktop: A Native Cross-Platform Front End for Hermes Agent v0.15.2 with Streaming Tool Output appeared first on MarkTechPost.
NVIDIA Releases Cosmos 3: A Two-Tower Mixture-of-Transformers Foundation Model Unifying Physical Reasoning, World Generation, and Action Generation
NVIDIA released Cosmos 3, open omnimodal world models pairing an autoregressive VLM reasoner with a diffusion generator for physical AI.
The post NVIDIA Releases Cosmos 3: A Two-Tower Mixture-of-Transformers Foundation Model Unifying Physical Reasoning, World Generation, and Action Generation appear...
ChatHealthAI: Aligning Electronic Health Record Representations with Large Language Models for Grounded Clinical Reasoning
arXiv:2606.02802v1 Announce Type: new
Abstract: Large language models (LLMs) exhibit strong natural-language reasoning abilities for clinical decision support, but struggle to effectively model structured longitudinal electronic health records (EHRs). In contrast, EHR foundation models can learn pr...
BehaviorBench: Modeling Real-World User Decisions from Behavioral Traces
arXiv:2606.02798v1 Announce Type: new
Abstract: Many decision-support settings require systems that adapt to individual users, but evaluation data for this problem remain limited. Existing benchmarks for user understanding often rely on simulated users or model-generated behavior, even though recen...
Evaluating Transformer and LSTM Frameworks for Prediction in Ungauged Basins
arXiv:2606.02791v1 Announce Type: new
Abstract: Watershed networks exhibit convergent topologies in which multiple tributaries merge into downstream channels,integrating diverse upstream hydrological processes. In ungauged basins, the absence of direct observations increases uncertainty and limits ...
AURA: Action-Gated Memory for Robot Policies at Constant VRAM
arXiv:2606.02775v1 Announce Type: new
Abstract: The KV-cache is the right memory for datacenters but the wrong memory for robots. Datacenter inference batches many short requests and resets them, amortizing an attention cache across a crowd. Embodied agents instead run one long, non-resetting episo...
Visual Graph Scaffolds for Structural Reasoning in Large Language Models
arXiv:2606.02673v1 Announce Type: new
Abstract: Graphs have been used to enhance large language models (LLMs) for structured reasoning, mostly as external knowledge sources are provided to models at test time. In this paper, we take a different view: the value of graphs for LLMs lie not only in sup...
MIT researchers teach AI models to interpret charts
The new ChartNet training dataset could improve the accuracy of vision-language models that help analyze business trends or interpret scientific figures.