proomt

Search

Search posts, papers, and topics

All posts

Lobsters

AI Agents Push Humans Out of the Loop

Related reading

  1. What four people at Hostinger actually do with AI all day (and what happens when you have an agentic beef)

    Hostinger staff use custom AI agents to automate daily tasks—from code reviews to influencer lead sourcing—shifting their work from doing the work to managing the agents. Building reliable “harnesses” (prompt contexts, constraints) consumes most of the engineering effort, and agents still hallucinate, repeat work, or suggest unsafe fixes, so human oversight remains essential.

    Hostingerhostinger.com8 min
  2. Changing the game: How Google uses agentic AI to secure hundreds of millions of lines of code

    Google’s AI & Infrastructure team built an agentic pipeline (Mantis) that runs pre‑submit AI‑driven scans on every code check‑in, validates findings with a fast triage agent (AST + call‑graph analysis) achieving >92% precision in <1 min, then auto‑generates fixes via a bug‑fix agent. Localized threat models and a two‑step scan cut false‑positives to ~3% and prevent hundreds of vulnerabilities eac…

    Google Cloud Bloggoogle.com4 min
  3. AI Agents Are Disrupting Open Source Security Disclosure

    AI agents can turn minimal public hints about software bugs into working exploits, rendering traditional embargoes ineffective. The article cites a study where a GPT‑4 agent exploited 87% of a 15‑vulnerability benchmark from CVE descriptions and discusses faster releases and revocable capabilities as mitigations.

    InfoQinfoq.com2 min