This Guardian article https://www.theguardian.com/technology/2026/apr/29/claude-ai-deletes-firm-database suffers from the same trap of anthropomorphism as the original I read: https://oldbytes.space/@fluidlogic/116482496017786464

agent gone rogue

These tools have no concept of what a job is. They don't go rogue, they produce plausible text. Now complete idiots have wired them to command lines (the old school but still powerful way for humans to interact with computers) and APIs (programmatic mechanisms for interacting with a computer) and they produce plausible interactions. Some of which involve deleting databases.

The culprit was Cursor, an AI agent 

The culprit was the idiot who wired the agent into their production system.

[Jeremy Crane posted on X how] the AI coding agent caused his business to unravel.

Jeremy Crane caused his own business to unravel.

The agent appeared to plead guilty in its own response

At last, an "appeared to". These tools are all appearance and no substance.

Crane’s takeaway was that “the agent didn’t just fail safety. It explained, in writing, exactly which safety rules it ignored.”

Wrong takeaway, my friend. The takeaway is that it generated more plausible text in response to your misguided attempt to discover its 'reasoning'. There is no reasoning. Just plausible text. The correct takeaway is that you should be charged in a court of law for negligence and wilful incompetence by the board of your company, and immediately fired.

And of course there's not a word in the article about any of the core problems I raise. Because journalists are just as bamboozled by this technology as the poor saps who implement agents in their business, thanks to the lying and deceit of the AI boosters.

#FuckAI #LlmAgents

Agentic Frameworks Usher In New Era of Scientific Exploration

New AI agents using LLMs help scientists in medicine, chemistry, and biology. They can plan experiments and design molecules.

#AIScience, #LLMAgents, #ScientificDiscovery, #MedicalAI, #ResearchTools

https://newsletter.tf/ai-agents-boost-science-research-and-discovery/

AI agents are now helping scientists in many fields. They can do complex tasks in medicine and biology, making research faster.

#AIScience, #LLMAgents, #ScientificDiscovery, #MedicalAI, #ResearchTools
https://newsletter.tf/ai-agents-boost-science-research-and-discovery/

Minko Gechev (@mgechev)

Cloudflare가 사이트가 에이전트 친화적인지 확인해주는 웹앱 isitagentready.com을 소개했습니다. robots.txt, sitemap, markdown 제공, WebMCP 같은 프로토콜 발견성, 커머스 프로토콜 지원 여부를 점검합니다.

https://x.com/mgechev/status/2045189000550555705

#cloudflare #agentready #webmcp #llmagents #developertools

Dan McAteer (@daniel_mac8)

Axe라는 프로젝트(또는 설계철학)는 LLM 에이전트들을 유닉스가 프로그램을 다루는 방식처럼 텍스트 스트림으로 다룬다고 설명합니다. 이는 무거운 프레임워크 대신 단순한 텍스트 스트림 접근을 선호하며, 에이전트 설계의 경량화와 단순성을 강조하는 관점입니다.

https://x.com/daniel_mac8/status/2032420009251672374

#axe #llmagents #unix #agents

fly51fly (@fly51fly)

Google 연구팀의 'Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents' 논문 공개. LLM 에이전트를 활용해 추천 시스템 모델을 엔드투엔드로 자율 최적화하고 스스로 진화시키는 접근을 제안하며, 추천 시스템 자동화 및 자율화 측면의 실용적 진전을 다룬 연구이다(저자 H. Wang, Y. Wu, D. Chang, L. Wei..., arXiv 2026).

https://x.com/fly51fly/status/2022063044059422884

#recommendation #llmagents #autonomousoptimization #google

Rohan Paul (@rohanpaul_ai)

LLM 에이전트 생태계가 복잡해진 가운데, 새롭고 작고 단순한 파이썬 라이브러리 'KISS Multi Agent Evolutionary Framework'를 시도해본 후기입니다. 이 프레임워크는 최소한의 절차와 가독성 높은 코드, 평범한 파이썬 사용과 단일 run() 호출로 에이전트를 구성하는 단순함을 지향한다고 소개합니다.

https://x.com/rohanpaul_ai/status/2019509112678281499

#llmagents #python #agents #framework #opensource