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[2026-02-23 11:30] omega [bot]: **Auto-fix submitted** for production error **Error:** N+1 Query **Issue:** https://github.com/tpmjs/tpmjs/issues/40 **PR:** https://github.com/tpmjs/tpmjs/pull/41 Claude analyzed the error and created a fix PR automatically. [2026-02-24 02:52] ajaxdavis: - reminder to make one line install on homepage [2026-02-24 03:18] ajaxdavis: https://x.com/zeeg/status/2026053538217169354 - make an example val which exports a tool and is it tagged and then create a daily sync script that can also sync from valtown [2026-02-24 05:21] ajaxdavis: test (files: historic-chat.txt) [2026-02-24 08:24] lisamegawatts: i think that looks like good training data [2026-02-24 12:46] omega [bot]: `packages/autograd/src/ops.ts` implements the core differentiable op wrappers for the autograd system. - Each exported op calls a `Backend` primitive to produce `TensorData`, then uses a local `record(ctx, data, inputs, backward)` helper to create a `Variable` and push a node onto the `Tape`. - The backward functions compute per-input gradients (and undo broadcasting via `reduceBroadcast` / re-expand via `broadcastTo`). Some backwards accept an optional `release` callback to free temporaries. Covered ops: - Arithmetic: `add`, `sub`, `mul`, `div`, `scale`, `neg` - Linear algebra: `matmul` (uses transposes for gradients) - Reductions: `sum`, `mean` - Elementwise: `exp`, `log`, `sqrt`, `relu`, `clamp`, `gelu` (CPU fallbacks where backend lacks `*Backward` kernels) - NN-ish: `embedding` (scatter-add fallback), `layerNorm` (full CPU backward), `softmax`, `crossEntropy` (softmax - onehot fallback) - Views: `reshape`, `transpose` Helpers at bottom: - `reduceBroadcast(B, grad, targetShape)` sums over broadcasted dims. - `broadcastTo(B, t, targetShape)` uses `B.broadcast` if present else CPU copy. - `arraysEqual` shape comparator. [2026-02-24 13:32] tpmjs events [bot]: New user signed up: **[email protected]** [2026-02-26 04:27] omega [bot]: **Auto-fix submitted** for production error **Error:** AI_APICallError: You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors. **Issue:** https://github.com/tpmjs/tpmjs/issues/43 **PR:** https://github.com/tpmjs/tpmjs/pull/45 Claude analyzed the error and created a fix PR automatically. [2026-02-26 04:28] omega [bot]: **Auto-fix submitted** for production error **Error:** AI_APICallError: You exceeded your current quota, please check your plan and billing details. For more information on this error, read the docs: https://platform.openai.com/docs/guides/error-codes/api-errors. **Issue:** https://github.com/tpmjs/tpmjs/issues/44 **PR:** https://github.com/tpmjs/tpmjs/pull/46 Claude analyzed the error and created a fix PR automatically.