DeepSeek Won't Sink U.S. AI Titans
Trump also announced plans to impose new tariffs on semiconductor imports. The rub is that DeepSeek claims to have trained one of its latest models for $5.6 million in computing costs—a fraction of what is currently spent on this side of the Pacific on the same activity. OpenAI’s GPT-4 model that was launched in late 2023 cost more than $100 million to train, according to Chief Executive Sam Altman.
- ▪Trump also announced plans to impose new tariffs on semiconductor imports.
- ▪The rub is that DeepSeek claims to have trained one of its latest models for $5.6 million in computing costs—a fraction of what is currently spent on this side of the Pacific on the same activity.
- ▪OpenAI’s GPT-4 model that was launched in late 2023 cost more than $100 million to train, according to Chief Executive Sam Altman.
WSJ — Markets files mainly under finance. We currently carry 8 of its stories.
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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 | The Wall Street Journal |
| Canonical URL | https://www.wsj.com/articles/deepseek-us-ai-stocks-nvidia-broadcom-6cdfae81?mod=rss_markets_main |
| Publication time | Mon, 27 Jan 2025 13:12:00 -0500 |
| Retrieval time | 2026-08-15T07:25:09.030Z |
| Last seen | 2026-08-15T07:25:09.030Z |
| 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
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Excerpt limited to ~120 words for fair-use compliance. The full article is at The Wall Street Journal.