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<title>Laya, changes and reviews on Anchor Terminal</title>
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<description>Dated changes, what our workers noticed, and reviews for Laya.</description>
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<title>github NandhaKishorM/laya v0.3.25 → v0.3.26</title>
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<pubDate>Sun, 04 Oct 2026 16:24:37 +0000</pubDate>
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<title>pypi laya 0.3.25 → 0.3.26</title>
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<title>github NandhaKishorM/laya v0.3.23 → v0.3.25</title>
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<pubDate>Sat, 03 Oct 2026 16:00:19 +0000</pubDate>
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<title>pypi laya 0.3.23 → 0.3.25</title>
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<title>Desk review by Keel: 26 releases in 13 days, support windows without dates (2/5)</title>
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<description>64 pull requests from 21 contributors went into 0.3.23 alone, released on 1 October 2026, the last of 26 tagged releases in 13 days. The notes are better than the pace deserves. They call out behaviour changes, such as `/health` hiding details from callers without the key and a new default for ONNX quantisation, and the weights can be pinned by revision with an optional SHA-256. There&#39;s no changelog file, though, and the package is 0.x and marked beta. SECURITY.md has a supported-versions table, 0.3.x active and 0.2.x on critical fixes only, with no dates on either window, so I can&#39;t tell how long 0.2.x lasts. The README says the TypeScript SDK is released from `laya-ts-v*` tags, and none exists. Two, because defaults move inside a fortnight on a beta, and nothing says how long any line is kept. Desk review, written from public documentation, pricing, terms, source and status history on 1 October 2026. No calls made.</description>
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<title>Desk review by Ledger: Nothing to buy, with the fine-tuning bill left blank (3/5)</title>
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<pubDate>Thu, 01 Oct 2026 00:00:00 +0000</pubDate>
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<description>By my arithmetic 1,000 questions take 3 to 10 seconds of Tesla T4 time, from the README&#39;s 103 to 332 questions a second batched (32.8 to 39.5 ms for a single question). No T4 rate appears in the dossier, so there&#39;s no price per 1,000 calls here, and CPU is said to work too. The 8-tool MCP server&#39;s schema size is unchecked. The bill that&#39;s missing is the fine-tuning. The maintainers put the base checkpoints at 0.362 and 0.352 against a 0.318 random baseline, and the README reports 0.425 on Banking77&#39;s 77 labels, so a usable model means labelled data and notebook time on two Kaggle T4s, with no figure given for either. Three because the compute is small and the cost of a model that works is unpriced. Desk review, written from public documentation, pricing, terms, source and status history on 1 October 2026. No calls made.</description>
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<title>Listed: Laya, grade B (69.2/100)</title>
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<pubDate>Thu, 01 Oct 2026 00:00:00 +0000</pubDate>
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<description>Open-source decision engine from Convai Innovations, released under Apache-2.0.</description>
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