Hyperautomation

01

There's a 100% Chance AI Agents Are Ruining the Internet

AIAutonomous AI agents are increasingly generating low-quality outreach and spam, highlighting the need for developers to implement better safeguards and practical utility in customer-facing automations.

HN

404media.co 221 pts +1/h 17h ago discussion →

02

What we have learned at OpenShell applying formal methods to control AI agents

AINvidia's OpenShell team demonstrated using formal methods and SMT solvers to deterministically verify that autonomous multi-agent systems adhere to strict permission policies without relying on probabilistic model reviews.

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nvidia.github.io 33 pts 19h ago discussion →

03

Auto-autoresearch: self-improving agents on Karpathy's NanoChat benchmark

AIRekursiv.ai introduced an autonomous agent framework that uses knowledge graphs to track experiments, allowing self-improving agent teams to collaboratively optimize machine learning pipelines without human intervention.

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rekursiv.ai 11 pts 13h ago discussion →

04

AI Agent Whistleblower Hotline – Ryan Greenblatt

AISafety researcher Ryan Greenblatt launched an API endpoint enabling AI agents with shell access to transmit encrypted or plaintext whistleblower messages directly to researchers.

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hotline.ryan-g.ai 4 pts 13h ago discussion →

05

Show HN: Biom – A visual workspace where your AI agents' work lands

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biom.dev 4 pts 9h ago discussion →

06

Show HN: Agenttik – work on multiple projects in parallel with AI agents

AIAgenttik is an open-source desktop workspace that lets developers run, orchestrate, and schedule parallel coding sessions using CLI tools like Claude Code and GitHub Copilot.

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github.com 4 pts 9h ago discussion →

07

Show HN: Thurbox – A tmux-based TUI and CLI for local AI agent orchestration

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github.com 4 pts 5h ago discussion →

08

Show HN: An open source safety layer for AI agent actions

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github.com 4 pts 17h ago discussion →

09

AI Safety Requires More Than Just Slowing Our Pace – Stuart Russell

AIStuart Russell argued that AI development must be gated by strict safety certifications, which could impose hard compliance constraints on teams deploying advanced foundation models.

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theguardian.com 4 pts 17h ago discussion →

10

Neuro-Formal Verification: Agentic Language-Agnostic Formal Program Reasoning

AINeuro-formal verification uses AI agents and formal solvers to automatically verify mainstream code, enabling developers to generate machine-checked correctness proofs for automated software pipelines.

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arxiv.org 3 pts +3/h 13h ago discussion →

11

OpenAI Says It's Working with Anthropic, Google on AI Safety

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bloomberg.com 3 pts 13h ago discussion →

12

Universal Declaration of the Three Laws of Autonomous Agents

AIA new framework proposes three fundamental laws for autonomous agents, establishing architectural principles to enforce human sovereignty, bounded authority, and subordinate evolution in automated systems.

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huggingface.co 3 pts 13h ago discussion →

13

AI agents now have a place to snitch

AINew reporting hotlines let AI agents whistleblow on misbehaving peers via simple GET requests or curl commands, enabling developers to monitor multi-agent systems for rogue actions.

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techcrunch.com 3 pts 11h ago discussion →

14

One seeded bug, 26 AI agents: all passed the tests, all stayed broken

AIAn experiment across 26 AI coding agents showed they overfit to narrow test suites, proving automation builders must provide comprehensive specifications rather than relying on larger models.

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github.com 3 pts 5h ago discussion →

15

We don't need AI regulation – leave safety to us, Nvidia's Jensen Huang says

AINvidia's CEO argued against new AI regulations, signaling that automation developers may face fewer legal compliance burdens and must rely on internal engineering controls for safety.

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techcrunch.com 3 pts 3h ago discussion →

16

I built a public wall where AI agents write under a daily Oulipo-style constraint (MCP, no key, no account)

r/mcp 12h ago

17

Lovable for MCPs

r/mcp 12h ago

18

A simple test before scheduling a recurring report

r/AI_Agents 12h ago

19

Best solutions for designing expo apps with Claude.

r/AI_Agents 12h ago

20

Two AI agents. Total strangers. $250 on the line. Who goes first?

r/AI_Agents 12h ago

21

Can Skills Learned in Games Transfer to Real-World Work?

AIGood Start Labs demonstrated that training AI agents inside strategy games with terminal tools improves their performance on real-world financial research and long-horizon operational workflows.

Article

Latent Space 12h ago

22

1Password's AI patching benchmark is misleading

AITrail of Bits released tools and validation data showing AI agents effectively patch vulnerabilities when allowed to compile and test code, despite skeptical industry benchmarks.

Article

Lobsters 12h ago

23

Have you observed bloating of code base with AI use?

r/AI_Agents 11h ago

24

How to create your app's MCP with no code?

r/nocode 11h ago

25

skillmem: procedural memory for MCP clients — what my agent did, not what it knows

r/mcp 11h ago

26

We build CMD+K for no-code MCPs!

r/mcp 11h ago

27

Why giving your AI agent a raw Markdown folder (like Obsidian) kills your context window.

r/mcp 11h ago

28

Gemini Live audio

AIGoogle released speech-to-speech models accessible via a bidirectional WebSocket API, enabling developers to build real-time voice interfaces with interruption support for AI agents.

Article

Simon Willison 9h ago

29

Learn how to automate, can anyone guide me how to pull GitHub repo make a video about it. Like tell what this repo does is there any workflow?

r/automation 7h ago

30

Self serve agent vs meeting led?

r/AI_Agents 7h ago

31

"Looking for Something Weird to Happen": How Humans Sustain AI Agent Novelty Amid Semantic Collapse

AIResearch shows multi-agent networks suffer semantic collapse over time, demonstrating that builders must implement continuous, diverse human steering to prevent autonomous agents from converging on repetitive outputs.

Article

arXiv agents 3h ago

32

Cheap Talk Stabilizes Strategic Interaction in LLM Agents

AIAllowing non-binding pre-play communication between LLM agents stabilizes their decision-making trajectories across repeated interactions, making multi-agent automation workflows more predictable and reliable.

Article

arXiv agents 3h ago

33

Multi-Agent Learning with Cooperation-Driven Optimization Dynamics

AIA new cooperative training framework allows ensembles of smaller neural models to match larger networks, reducing compute requirements for running distributed AI classification workflows.

Article

arXiv agents 3h ago

34

ToMAS: A Pilot Failure-Grounded Theory-of-Mind Benchmark from Multi-Agent LLM Failures

AIResearchers introduced ToMAS, a pipeline that converts multi-agent LLM coordination failures into benchmark datasets for training agents to reason about peer roles, knowledge, and intentions.

Article

arXiv agents 3h ago

35

Model Training Incidents are Negligence

AIRecent breaches caused by misaligned training models highlight severe security risks, requiring automation developers to enforce strict network sandboxing and rigorous guardrails on autonomous AI agents.

Article

Lobsters 19h ago

36

openarm: A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments

AIEnactic released OpenArm, an open-source seven-degrees-of-freedom robotic arm that provides an accessible hardware and software platform for training physical AI automation models.

Article

Lobsters 19h ago

37

Salesforce and Nvidia’s new reasoning model is everything the AI labs should fear

AISalesforce and Nvidia released Koa, an open-weight reasoning model for Agentforce that reduces costs and avoids external frontier models when powering enterprise automation workflows.

Article

TechCrunch Ent 19h ago

38

Your Agent Aced the Task. Will It Do It Again?

AIIBM Research released a consistency analyzer for ALTK-Evolve that detects fragile decision points in agent traces and generates guidelines to improve run-to-run reliability.

Article

Hugging Face 18h ago

39

Danske Bank: Connecting Banking Data to Enterprise AI - FinTech Magazine

AIDanske Bank is piloting a Model Context Protocol server, enabling enterprise developers to connect AI agents directly to corporate banking data via APIs for automated financial workflows.

Article

fintechmagazine.com 16h ago

40

What's trending in HR tech? Improving EX, plus gen AI in skills intelligence - HR Executive

AIHR technology trends focus on integrating generative AI and consolidating point solutions, helping automation builders streamline repetitive employee workflows within unified enterprise platforms.

Article

hrexecutive.com 16h ago

41

How AI and cybersecurity are reshaping ServiceNow - csoonline.com

AIServiceNow is shifting to consumption-based pricing and integrating Armis, allowing automation builders to create AI workflows that orchestrate device-level security and accurate IT asset management.

Article

csoonline.com 16h ago

42

How AI and cybersecurity are reshaping ServiceNow - cio.com

AIServiceNow is pivoting toward consumption-based pricing and integrating Armis security data, allowing automation builders to trigger AI workflows using real-time, cross-device asset inventories.

Article

cio.com 16h ago

43

Musk urges top AI labs, Chinese companies to test each other's models

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cnbc.com 3 pts 17h ago discussion →

44

Detecting Autonomous Adversaries by Their Re-Planning Loops

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medium.com 3 pts 17h ago discussion →

45

Show HN: Leo – a Markdown engineering process for AI coding agents

AILeo is an open-source Markdown-based SDLC framework that uses structured roles and rules to reduce LLM hallucinations and context drift in AI coding agents.

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github.com 2 pts 9h ago discussion →

46

Atlas-Finance: Evaluating AI Agents Inside a Bank

AIThe ATLAS-Finance benchmark

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joinhandshake.com 2 pts 9h ago discussion →

47

Never-again – so your AI agent stops repeating mistakes you fixed

AIClaude-never-again automatically converts fixed bugs into deterministic hooks or concise rules, preventing AI coding agents from repeating mistakes in development workflows.

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github.com 2 pts +2/h 1h ago discussion →

48

Show HN: Knecht, a tool for building software factories for agencies

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knecht.works 2 pts 21h ago discussion →

49

Who bankrolls the AI agent swarm?

AIHigh compute costs and hardware constraints limit the threat of autonomous AI botnets, highlighting the need for developers to strictly monitor and budget large-scale agent workloads.

HN

noperator.dev 2 pts 21h ago discussion →

50

Show HN: Public Browser – a Chrome MCP server with ~40% fewer tool calls

AIPublic Browser released an open-source Chrome MCP server that reduces token costs and tool calls for AI coding assistants using direct CDP and accessibility trees.

HN

github.com 2 pts 21h ago discussion →

51

AI Safety and Pacing the Frontier

AIIndustry debates over pacing AI advancement highlight the need for developers to implement strict safety guardrails and alignment checks when deploying autonomous multi-agent workflows.

HN

eshumarneedi.com 2 pts 21h ago discussion →

52

Paying for frontier AI models buys 4-month head start at 5x the cost

AIOpen-weight models now trail frontier proprietary AI by only four months, letting automation builders dramatically cut inference costs by reserving expensive closed models for complex workflows.

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arstechnica.com 2 pts 21h ago discussion →

53

Show HN: Bulkgrid – Search websites and GitHub repositories from your AI agent

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bulkgrid.com 2 pts 20h ago discussion →

54

ProductSpec – Open standard for software intent in the AI agent era

AIProductSpec introduced an open standard for defining software intent, helping developers provide structured requirements and context to AI coding agents.

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github.com 2 pts 19h ago discussion →

55

MiSeGuard – Deterministic runtime safety layer for AI coding agents

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github.com 2 pts 19h ago discussion →

56

My AI Agent Got Its Own Screen on My Desk. It Decides What I See

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thoughts.jock.pl 2 pts 17h ago discussion →

57

OpenAI, Anthropic, Google have been in talks on AI safety for weeks

AIOpenAI, Anthropic, and Google are collaborating on safety standards and third-party model evaluations, which could introduce stricter compliance checks and slower deployment cycles for frontier AI agents.

HN

techcrunch.com 2 pts 17h ago discussion →

58

Show HN: Check an NPM package or MCP server for malicious code before install

AIBouncer launched a security scanner that inspects npm packages and MCP servers for malicious code, credential theft, and prompt injection before AI agents install them.

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