Ask HN: Are we in the 'Goldilocks era' of AI capabilities?
The article discusses the current state of AI capabilities, suggesting we may be in a 'Goldilocks era' where AI is neither too dumb nor too smart. The author reflects on their experience with AI handling tedious tasks while still lacking the ability to engage in more complex work. They express concern about the future potential of AI and invite others to share their experiences with AI in their respective fields.
- ▪AI is currently capable of handling tedious tasks but lacks the ability to perform more complex work.
- ▪The author is concerned about the future capabilities of AI becoming too advanced.
- ▪The discussion invites perspectives from various fields on the progression of AI capabilities.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,397 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
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 | Ycombinator |
| Canonical URL | https://news.ycombinator.com/item?id=48270966 |
| Publication time | Mon, 25 May 2026 19:59:17 +0000 |
| Retrieval time | 2026-05-25T20:07:40.503Z |
| Last seen | 2026-05-25T20:07:40.503Z |
| 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 | GqdVEYKB1zKj |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| 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
At least for my work, AI is no longer too dumb to handle a lot of the tedium, but also not smart enough to do the interesting stuff. So I am spending more time on the latter, learning more, and getting more done. But I worry that even a year from now, it might be too smart. I've worried about this in the abstract for a while, but it's starting to feel very real, maybe even inevitable.I'm curious for people with different kinds of work, where are we along this progression? Is it still too dumb, and you would like it to automate more of the boring stuff? Or is it good enough that you wish we could wind the clock back (to when)?.For the sake of this conversation, let's assume that everyone gets to keep their job; AI just changes what the job is like (though I'm not saying that's what will…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Ycombinator.