Due to concerns about malicious applications, GPT2 will not be released (2019)
Due to our concerns about malicious applications of the technology, we are not releasing the trained model. GPT‑2 is trained with a simple objective: predict the next word, given all of the previous words within some text. The diversity of the dataset causes this simple goal to contain naturally occurring demonstrations of many tasks across diverse domains.
- ▪Due to our concerns about malicious applications of the technology, we are not releasing the trained model.
- ▪GPT‑2 is trained with a simple objective: predict the next word, given all of the previous words within some text.
- ▪The diversity of the dataset causes this simple goal to contain naturally occurring demonstrations of many tasks across diverse domains.
Hacker News (Front Page) files mainly under programming. We currently carry 1,574 of its stories. Top-voted stories on Hacker News.
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 | OpenAI |
| Canonical URL | https://openai.com/index/better-language-models/ |
| Publication time | Sun, 13 Sep 2026 23:11:17 +0000 |
| Retrieval time | 2026-09-13T23:21:50.474Z |
| Last seen | 2026-09-13T23:21:50.474Z |
| 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 | B1R4jq-gJUuA · 1 stories |
| 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
February 14, 2019MilestoneBetter language models and their implicationsRead paper(opens in a new window)View code(opens in a new window)Illustration: Ben BarryLoading…ShareSamplesSamplesZero-shotPolicy implicationsRelease strategyStaged releaseOutput datasetTalk to usSamplesZero-shotPolicy implicationsRelease strategyStaged releaseOutput datasetTalk to usWe’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization—all without task-specific training.Our model, called GPT‑2 (a successor to GPT), was trained simply to predict the next word in 40GB of Internet text.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at OpenAI.
Discussion
0 commentsMore from OpenAI
