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5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition — 1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research — 1 src5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition — 1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research — 1 src
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#cad

4 curated events
papersTODAY 04:00 UTC

CIT-CAD Framework Generates and Verifies CAD Code from Natural-Language Intent

A new arXiv paper introduces CIT-CAD, a method that converts natural-language design intent into executable, editable parametric CAD programs. The approach relies on a constraint intent tree to structure the design specification, and it includes a verification step intended to keep generated code faithful to the original request. The authors frame this as progress toward CAD systems built on large language models that produce reliable, reusable output.

cad/code-generation/llm/verification
papersTODAY 04:00 UTC

DepthBenchCAD Examines Whether More Auditing Checks Improve Generative CAD Evaluations

A new arXiv preprint introduces DepthBenchCAD, a benchmark studying how the number of edit checks affects the reliability of evaluations for generative CAD models. The work focuses on behavioral correctness after parameter edits and asks whether auditing more programs under a fixed budget actually leads to firmer conclusions. It questions the common assumption that adding edit checks is a straightforward path to more trustworthy evaluation.

benchmark/cad/evaluation/generative-models
papersSEP 12 04:00 UTC

Canonical Inputs Proposed for Neural Networks on CAD Boundary Representations

A new arXiv paper addresses how the same 3D solid can be described by multiple boundary representations (B-reps) in CAD systems, which creates ambiguity for machine learning models. The authors propose learning canonical inputs so that neural networks operate on the underlying solid rather than the particular file encoding. This aims to make predictions consistent regardless of how a model was originally constructed.

cad/neural-networks/3d-models/geometry
papersSEP 12 04:00 UTC

Paper Proposes Language-Augmented Priors for B-Spline Surface Fitting

A new arXiv preprint describes a technique that uses language-derived semantic information to guide B-spline and NURBS surface fitting, the mathematical basis of modern computer-aided design. The authors argue that traditional CAD geometric kernels remain dependent on predefined assumptions, and that language-augmented priors can improve fitting results. The work sits at the intersection of geometric modeling and language model research.

cad/b-splines/geometry/arxiv