Tech News
Vulnerability reports are not special anymore
This Hacker News story is drawing 149 points and 67 comments, so it is worth watching for shifts in developer attention, AI infrastructure, or product strategy.
Meta Pauses Employee-Tracking Program Following Internal Data Leak
This Hacker News story is drawing 135 points and 63 comments, so it is worth watching for shifts in developer attention, AI infrastructure, or product strategy.
The Coming Loop
This Hacker News story is drawing 361 points and 252 comments, so it is worth watching for shifts in developer attention, AI infrastructure, or product strategy.
Unlimited OCR: One-shot long-horizon parsing
This Hacker News story is drawing 456 points and 104 comments, so it is worth watching for shifts in developer attention, AI infrastructure, or product strategy.
Claude Tag
This Hacker News story is drawing 240 points and 163 comments, so it is worth watching for shifts in developer attention, AI infrastructure, or product strategy.
GitHub Repos
code-yeongyu/oh-my-openagent
omo/lazycodex: The coding agent for tokenmaxxers;the one and only agent harness for complex codebases.
# TypeScript# ai# ai agentsbuilderz-labs/mission-control
Self-hosted AI agent orchestration platform: dispatch tasks, run multi-agent workflows, monitor spend, and govern operations from one mission control dashboard.
# TypeScript# agent orchestration# ai agentsascending-llc/jarvis-registry
Connect any AI copilot or autonomous agent to your enterprise tools — through a single, secure MCP/Agent gateway with built-in identity, access control, and full observability.
# Python# agent# agent gatewayResearch Papers
OpenCUA: Open Foundations for Computer-Use Agents
This work proposes OpenCUA, a comprehensive open-source framework for scaling CUA data and foundation models and releases the annotation tool, datasets, code, and models to build open foundations for further CUA research.
Diversity-Aware Policy Optimization for Large Language Model Reasoning
A systematic investigation into the impact of diversity in RL-based training for LLM reasoning, and a novel diversity-aware policy optimization method that achieves a 3.5 percent average improvement across four mathematical reasoning benchmarks, while generating more diverse...
KLASS: KL-Guided Fast Inference in Masked Diffusion Models
KL-Adaptive Stability Sampling (KLASS), a fast yet effective sampling method that exploits token-level KL divergence to identify stable, high-confidence predictions that speeds up generation significantly while maintaining sample quality is introduced.