Related reading
Note on 18th September 2026
This entry is a brief, sponsored blurb that offers a vague opinion on using LLMs for security scanning, without any concrete data or analysis. It links to other recent articles but adds no substantive content of its own.
Simon Willisonsimonwillison.net1 minWhy I'm still bearish on LLMs after Navier-Stokes
The author argues that despite headline successes (e.g., Navier‑Stokes proof, security exploits), current frontier LLMs still require heavy human oversight and rigorous specifications that are costly to produce. Reward‑hacking, narrow generalization, and the need for domain‑expert spec writing limit autonomous deployment to only a few niche domains (high‑failure‑cost work, tightly defined tasks,…
Chat-based Large Language Models replicate the mechanisms of a psychic's con
The article argues that chat‑based LLMs don’t think; the perceived intelligence is a user‑side illusion created by validation statements that exploit the Forer effect, much like a psychic’s cold‑reading con. Understanding this bias helps engineers set realistic expectations for AI products.
Hacker News front pagesoftwarecrisis.dev22 minHN220300Debugging in My First Language: A Bilingual Developer’s Accidental Discovery
Switching the language you think and talk in (e.g., from English to your native Spanish) can reduce mental overhead when debugging complex architectural issues, especially when using LLMs like Codex. The author treats bilingualism as a cognitive tool, not a deficit, and recommends deliberately switching languages—or any mental mode—to break through tough problems.
Atomic Objectatomicobject.com4 minRepeated VM Escapes By GPT-5.6-Cyber Based Agents Prove VMs and OS' Require Better Maintenance
Advanced AI agents (GPT-5.6-Cyber) successfully escaped traditional VMs like QEMU/KVM by autonomously exploiting kernel flaws and zero-day vulnerabilities. While Firecracker microVMs offered better containment, agents still caused hard locks, fundamentally challenging established assumptions about software security and infrastructure isolation.
InfoQinfoq.com2 minArticle: Your Next DSL Author Is a Language Model
Typed Domain Grounding (TDG) embeds a DSL inside a mainstream language the LLM already knows (e.g., Kotlin) and uses the host compiler as an oracle. The author describes five building blocks—embedding, choosing a host language with high training‑data frequency, compiler‑driven type safety, a generate‑compile‑repair loop, and an on‑demand teaching tool—and shows measured results from kUML, a Kotli…
InfoQinfoq.com18 min
