I Feel Sorry for AI
The article discusses the unrealistic expectations placed on AI by both supporters and skeptics. It argues that AI should be treated like a new graduate who requires context and onboarding rather than as an all-knowing expert or a deceitful entity. The author emphasizes the importance of understanding AI's limitations and the need for proper guidance to utilize its capabilities effectively.
- ▪AI is often expected to perform like a seasoned expert without adequate context.
- ▪Some people distrust AI entirely, viewing it as inherently deceptive.
- ▪The author suggests treating AI like a new graduate who needs onboarding and context.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/markhuang-ai/i-feel-sorry-for-ai-144m |
| Publication time | Wed, 03 Jun 2026 01:51:54 +0000 |
| Retrieval time | 2026-06-03T02:11:48.041Z |
| Last seen | 2026-06-03T02:11:48.041Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3964495) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Mark Huang Posted on Jun 3 • Originally published at markhuang.ai I Feel Sorry for AI #ai #discuss #llm AI gets pulled between impossible trust and total distrust. Neither side is a serious operating model. Answer Snapshot I feel sorry for AI. Not because the model has feelings. Not because mistakes should be excused. I feel sorry for AI because the expectations around it are getting irrational from both directions.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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