Testing AI on Real-World Tasks
We asked Claude Opus 5.5 agents to find a room-temperature magnet with zero net magnetism whose electrons are still sorted by spin, a combination physicists call a Luttinger-compensated magnet. Their own design, YBaMnFeO₅, looks ideal on paper, but their follow-up calculations suggest it may be hard to make. They then found that KV[Cr(CN)₆], a magnet first made in 1999 whose sample stayed magnetic up to 376 K, fits the description in their calculations.
- ▪We asked Claude Opus 5.5 agents to find a room-temperature magnet with zero net magnetism whose electrons are still sorted by spin, a combination physicists call a Luttinger-compensated magnet.
- ▪Their own design, YBaMnFeO₅, looks ideal on paper, but their follow-up calculations suggest it may be hard to make.
- ▪They then found that KV[Cr(CN)₆], a magnet first made in 1999 whose sample stayed magnetic up to 376 K, fits the description in their calculations.
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Story provenance
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Record
| Original publisher | Vals |
| Canonical URL | https://www.vals.ai/home |
| Publication time | Mon, 05 Oct 2026 21:10:49 +0000 |
| Retrieval time | 2026-10-05T21:20:43.184Z |
| Last seen | 2026-10-05T21:20:43.184Z |
| 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 | 7WuqUfhLQNj4 · 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
2026/10/04Claude Opus 5.5 agents find two room-temperature magnetic semiconductor candidates2026/10/02Vals Web Search Index: evaluating search for real work2026/09/30Has the Bitter Lesson Come for AI Detectors?2026/09/30Google's Gemini 4 Argon evaluated across our benchmark suite2026/09/28Anthropic's Claude Sonnet 5.5 evaluated across our benchmark suite Independent Evaluation, Unbiased Benchmarks Testing AI on Real-World Tasks We benchmark the world's leading AI models on economically valuable tasks such as finance, software, and frontier risk like cybersecurity, recursive self improvement and mental health. We run all of our own evaluations and create many of our benchmarks in-house.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Vals.
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