Tech News
openai/openai-python v3.23.0
3.23.0 Features agents: [1/n] return typed answers from session streams.
Building ambient agents with Amazon Bedrock AgentCore: From event-driven signals to human-in-the-loop workflows
Ambient agents respond to events such as an Amazon S3 upload, a schedule, or an alert instead of waiting for a chat prompt.
AutoSynthData: Generating Training Data for Enterprise Agents
ServiceNow AI introduces AutoSynthData, a method for automatically generating training data for enterprise agents.
Quoting Matthew Green
[...] Put these pieces together and you have the two halves of a worm: a payload that hijacks the agent, and an agent that will carry the payload to the next agent.
Build Applications on NVIDIA BlueField Faster with NVIDIA DOCA Agent Skills
AI agents are becoming a standard part of development workflows, but general-purpose agents weren't built with specialized infrastructure software such.
GitHub Repos
hypit-ai/hypit
Clone any viral video with AI agents.
# TypeScript# agentic ai# aitirth8205/code-review-graph
Local-first code intelligence graph for MCP and CLI.
# Python# ai coding# claudesamugit83/redamon
Open-source, self-hosted AI penetration testing framework: maps your attack surface into a graph, autonomously exploits it from a Kali sandbox with human approval gates, and...
# Python# agentic ai# aiResearch Papers
H-SPAR: Hydrodynamic-aware Simulation for Particle Transport and Autonomous Robots
The authors built H-SPAR, an open-source simulator that uses the same water-current data to move both a robot and the particles it samples. They show that a current-aware planner looks much better on paper than it does when the robot actually executes the path in changing...
NeuroDyn-EEG: An Interpretable Pre-trained Model for EEG Based on Neural Dynamics
This paper builds a pretrained model that maps scalp EEG to interpretable brain-dynamics parameters using a neural mass model and simulations. It shows competitive disease classification and suggests region-specific changes in Alzheimer's and depression.
Where-OPD: Spatially Guided On-Policy Self-Distillation of MLLMs with Synthetic Scenes
This paper teaches multimodal language models to reason better by having a smarter version of the model act as a guide, pointing out which parts of an image matter for a given question. It uses automatically generated scenes, so no human labeling or outside teacher models are...