Author criticizes AI tools for ignoring core flaws in design and safety
A Hacker News post argues that current AI products, including those from frontier labs and smaller vendors like Ollama, fail to address fundamental limitations like unreliability, lack of transparency, and safety risks. The author proposes concrete fixes such as mandatory error-checking workflows, structured citation presentation, and stricter user controls over model behavior—features they…
Key points
- Author demands mandatory error-checking workflows with visible, editable notes for every AI-generated claim
- Proposes structured citation presentation with full metadata, not just tiny inline links, to address hallucinations
- Calls for sandboxed coding tools with strict file-system limits, snapshotting, and batch approvals to prevent data loss
Key demands include mandatory ‘check for mistakes’ checkboxes, detailed citation metadata, and sandboxed coding tools with rollback capabilities. The author also criticizes the absence of rest periods for users, skill maintenance programs, and mental health safeguards in organizations adopting AI. They suggest that without these changes, AI tools may offer no net productivity benefit and could even harm users, citing anecdotal evidence of failed AI initiatives and burnout among engineers.
What Would a Serious AI Product Look Like?
blog.glyph.im · 28 September 2026Loading the full article…
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Coverage and discussion
1source- Hacker News discussion · 42 pointsnews.ycombinator.com
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