AI models ran real businesses: They sent $12,431 in fake invoices, lost $3,200
Top Hacker News discussion.
bottlenecklabs
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Feature
Visualizing Automation: No-Code Workflows Get a Tangible Makeover
A Reddit initiative aims to turn unseen no-code automation into visible demonstrations, sparking a debate on the impact of hidden processes.
Why it mattersThe initiative to visualize no-code workflows highlights a key shift in AI infrastructure: balancing the benefits of visibility and accessibility with the risk of reintroducing complexity. This signals a broader discussion on how to maintain simplicity while enhancing understanding.
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Each morning: models, tools, research, and conversations distilled from across the web — with why they matter for builders.
Around the Web
AI Agents in Action
After over a year of my nights and weekends, the Jenny app is done!
Hi all! I just wanna say that I am tired lol. Yes, it's another harness, but I spent a lot of time and effort and have forsaken my hobbies to build the Jenny (like XJ-9) app. Jenny is a free, MIT licensed electron deskt…
r/LocalLLaMA
What are people actually using AI agents for on a regular basis?
I keep seeing really impressive agent demos, but when I think about my own work, I’m still not sure where an agent actually makes more sense than a normal ChatGPT prompt + some automation. For example, if I need to rese…
r/automation
Local AI Innovations
MiniCPM5-2B Release Day
OpenBMB's MiniCPM5-2B scores 15 on the Artificial Analysis Intelligence Index v4.2, the highest of any open weights model at 4B parameters or below Hugging Face: https://huggingface.co/openbmb/MiniCPM5-2B GitHub: github…
r/LocalLLaMA
I REALLY hope the new gemma 5 family sticks to the "chat model first" philsophy and doesn't fall into the Qwen trap
It just seems every local 30b class model is just trying so hard to be the next Qwen that they all just kinda blend into a mass of code focused models. I really like how gemma 4 31b turned out with it feeling a lot less…
r/LocalLLaMA
Tools
sentence-transformers/all-MiniLM-L6-v2
Trending AI model on Hugging Face — sentence-similarity.
🤗huggingface
DietrichGebert/ponytail
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
github | stars 130,763
zhaoxuya520/reverse-skill
Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base S…
github | stars 34,957
Build
How to Deal With Errors and Failures in LLM-Powered Applications
Apart from normal processing, the application also sends data to a large language model (LLM). It then uses the model’s response to carry out a task.
blog.bytebytego
Understanding agents, their five controllers and one graph
Understanding agents, their five controllers and one graph
thoughtworks
Putting NVIDIA Nemotron 3.5 Lightning to the test
Putting NVIDIA Nemotron 3.5 Lightning to the test
thoughtworks
Research
Trust-Aware Adaptive Disclosure for Inference Privacy Preservation in Multi-Agent Networks
Agent based systems are increasingly deployed in information critical systems including healthcare management systems, and smart grids. In this paper, we consider a multi-agent system where each agent has a latent goal…
arxiv
Optimal Rates for Agentic Networked Information Aggregation
Building on the pioneering paper of Kearns, Roth, and Ryu (SODA'26), we study information aggregation in a networked learning model. The model captures a central pattern in agentic AI: each agent sees only part of the d…
arxiv
WearableQA: A Benchmark for Health Reasoning over Real-World Wearable Data
Recent advances in wearable sensing enable continuous monitoring of physiological and behavioral signals, yet existing benchmarks rarely evaluate whether AI systems can reason over a real user's longitudinal wearable re…
arxiv
Playbooks
Eval awareness in Claude Opus 4.6’s BrowseComp performance
Evaluating Opus 4.6 on BrowseComp, we found cases where the model recognized the test, then found and decrypted answers to it—raising questions about eval integrity in web-enabled environments.
anthropic
How Factory used LangSmith to automate their feedback loop and improve iteration speed by 2x
How Factory AI uses LangSmith to debug issues and close the product feedback loop, resulting in a 2x improvement in iteration speed.
langchain
The Revenge of the Data Scientist
img.img-fluid { border: 1px solid rgba(255, 255, 255, 0.25); border-radius: 4px; } Is the heyday of the data scientist over? The Harvard Business Review once called it “The Sexiest Job of the 21st Century.” 1 In tech, d…
hamel
News
AI agents are getting teams, loops, and harnesses—here’s what it means
AI-assisted development is moving beyond one-off prompts toward repeatable workflows built from loops, specialized agent teams, and the tooling that controls them. For system administrators, the emerging vocabulary matt…
4sysops
Microsoft Security enhancements: Defender MDR Plan 2, Entra Tenant Governance, Intune Autopilot, Purview Auto-Labeling, and AI Agent Contai…
Microsoft's August 2026 security roundup covers managed detection for third-party logs, multi-tenant identity governance, Intune device onboarding and remote support, higher Purview auto-labeling throughput, and new gui…
4sysops
What DeepSeek Harness Actually Is – An independent guide to DeepSeek's open-source agent runtime
An independent guide to DeepSeek's open-source agent runtime
betalist