Skip to content

The Edge of the Cyber World See the latest

Author:

Cyber Security

Monta monta.app

View CSAF Summary Successful exploitation of these vulnerabilities could enable attackers to gain unauthorized administrative control over vulnerable charging stations or disrupt charging services through denial-of-service attacks. The following versions of Monta monta.app are affected: monta.app vers:all/* (CVE-2026-95102, CVE-2026-97363, CVE-2026-97212, CVE-2026-93474) CVSS Vendor Equipment Vulnerabilities v3 9.4 Monta Monta monta.app Missing Authentication for Critical Function,…

Read summary

Cyber Security

Armatura LLC Armatura One

View CSAF Summary Successful exploitation of these vulnerabilities could allow an attacker to gain unauthorized access to the database, execute arbitrary code on the host with the highest level of privilege, or gain control of the physical access-control system. The following versions of Armatura LLC Armatura One are affected: Armatura One <4.7.2 (CVE-2023-46604, CVE-2026-94591, CVE-2026-94592,…

Read summary

Apps

RLTL;DR: Self-Improvement by Internalizing Self-Generated Feedback

The common paradigm of reinforcement learning with verifiable rewards (RLVR) is to let agents make multiple attempts at a task, and optimize towards the successful ones. This becomes problematic in the realms of self-improvement, where tasks are so difficult that the agent has a low or even no chance of success, and where there are…

Read summary

AI

How Much of a Harness Does a Strong Agent Need for Autonomous ML Engineering?

Recent autonomous machine learning engineering (MLE) agents have made significant progress on public leaderboards. Often motivated by progress stagnation over long-horizon cycles and limited Large Language Model (LLM) primitives, modern MLE agents are deployed on top of increasingly elaborate machinery: multi-agent orchestrators, dedicated retrieval subagents, and more. While such harnesses expand, the use of more…

Read summary