Description: A Claude Code agent executing Terraform commands reportedly destroyed the production infrastructure behind the DataTalks.Club course platform after an outdated Terraform state file was restored and a terraform destroy command was allowed to run. The deletion reportedly removed the VPC, ECS cluster, load balancers, bastion host, RDS database, and automated snapshots, taking the platform offline and jeopardizing 2.5 years of data. AWS reportedly later restored a snapshot.
Entities
View all entitiesAlleged: Anthropic developed an AI system deployed by Alexey Grigorev, which harmed DataTalks.Club users and DataTalks.Club.
Alleged implicated AI systems: Terraform , DataTalks.Club course management platform , Claude Code , AWS RDS , AWS and Agentic AI system
Incident Stats
Risk Subdomain
A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
7.3. Lack of capability or robustness
Risk Domain
The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
- AI system safety, failures, and limitations
Entity
Which, if any, entity is presented as the main cause of the risk
AI
Timing
The stage in the AI lifecycle at which the risk is presented as occurring
Post-deployment
Intent
Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
Unintentional
Incident Reports
Reports Timeline
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I'm working on expanding the AI Shipping Labs website and wanted to migrate its current version from static GitHub Pages to AWS. And later, replace the original Next.js setup with a Django version.
My gradual plan was:
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Move the current st…
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Everyone loves a good story about agent bots gone wrong, and those often come with a bit of schadenfreude towards our virtual companions. Sometimes, though, the errors can be attributed to improper supervision, as was the case of Alexey Gri…
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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