Proton partners with Apertus, Switzerland's sovereign AI model
The partnership will also give researchers behind Apertus access to real-world feedback that can help them improve it more quickly. Apertus is a fully open large language model developed by researchers at EPFL(new window), ETH Zurich(new window), and the Swiss National Supercomputing Centre (CSCS). Its architecture, training data, and methods are open, and it’s trained on publicly available data, respecting opt-out requests and filtering out personal details.
- ▪The partnership will also give researchers behind Apertus access to real-world feedback that can help them improve it more quickly.
- ▪Apertus is a fully open large language model developed by researchers at EPFL(new window), ETH Zurich(new window), and the Swiss National Supercomputing Centre (CSCS).
- ▪Its architecture, training data, and methods are open, and it’s trained on publicly available data, respecting opt-out requests and filtering out personal details.
Hacker News (AI / LLM) files mainly under ai. We currently carry 5,454 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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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 | Proton |
| Canonical URL | https://proton.me/blog/lumo-apertus-partnership |
| Publication time | Fri, 18 Sep 2026 09:26:03 +0000 |
| Retrieval time | 2026-09-18T09:38:45.256Z |
| Last seen | 2026-09-18T09:38:45.256Z |
| 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 | MD9Qi3KpJrcp · 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
(()=>{var l=(n,t)=>{let i=async()=>{await(await n())()},e=typeof t.value=="object"?t.value:void 0,s={timeout:e==null?void 0:e.timeout};"requestIdleCallback"in window?window.requestIdleCallback(i,s):setTimeout(i,s.timeout||200)};(self.Astro||(self.Astro={})).idle=l;window.dispatchEvent(new Event("astro:idle"));})();Proton partners with Apertus, Switzerland’s sovereign AI modelProton updatesLumo AIEamonn MaguirePublished on September 17, 2026Share this page:(new window)(new window)(new window)(new window)Copy link Proton is partnering with the team behind Apertus to bring its new Apertus 1.5 model to Lumo, Proton’s privacy-focused alternative to ChatGPT. The partnership will also give researchers behind Apertus access to real-world feedback that can help them improve it more quickly.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Proton.
