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Hosted by Engineering Horizons · 🇺🇸 US · EN-US · 16 episodes
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A daily podcast covering the latest developments in AI for software engineering. Generated from curated expert-level digests.
Engineering Horizons hosts ShorterLetter AI-SWE Podcast, a technology show with 16 episodes published.
AI-SWE Digest — 2026-04-16 New Signals - MegaTrain enables full-precision training of 100B+ parameter LLMs on a single GPU through memory-centric training and gradient offloading, achieving 1.84× speedup over DeepSpeed Z
AI-SWE Digest — 2026-04-15 New Signals - Introspective Diffusion Language Models (I-DLM) achieve competitive performance with autoregressive models for the first time, scoring +26 on AIME-24 and +15 on LiveCodeBench-v6 v
AI-SWE Digest — 2026-04-14 New Signals - MoonBit 0.9 introduces first-class formal verification with contract-based programming, loop invariants, and SMT solver integration—addresses reliability challenges in LLM-based c
AI-SWE Digest — 2026-04-13 New Signals - Google Research proposes pipe syntax extension for SQL using pipe syntax and data flow programming approach to address fundamental language design problems in SQL—first formal pro
AI-SWE Digest — 2026-04-10 New Signals - Research-driven agents add a literature search phase before coding, discovering kernel fusion and SIMD optimizations that achieve 15% speedup on x86 in llama.cpp—first production
AI-SWE Digest — 2026-04-09 New Signals - TinyLoRA achieves 91% accuracy on GSM8K with only 13 trained parameters—a 1000x reduction vs conventional LoRA—enabling efficient reasoning model deployment on resource-constraine
AI-SWE Digest — 2026-04-08 New Signals - MegaTrain enables full-precision training of 100B+ parameter LLMs on single GPU through memory-centric parameter streaming and gradient offloading—achieves 1.84× speedup over Deep
AI-SWE Digest — 2026-04-07 New Signals - PyTorch's TorchInductor integrates CuteDSL as fourth GEMM backend alongside Triton, CUTLASS, and cuBLAS—delivers SOTA matrix multiplication performance with architectural tradeoff
AI-SWE Digest — 2026-04-06 New Signals - Parlor achieves real-time multimodal AI (audio/video in, voice out) running entirely on-device on M3 Pro using Gemma 4 E2B and Kokoro TTS—first practical demonstration of cloud-fr
AI-SWE Digest — 2026-04-03 New Signals - Empirical study analyzing 3.8K bugs across Claude Code, Codex, and Gemini CLI reveals systematic engineering pitfalls in production AI coding tools—first comprehensive bug taxonom
AI-SWE Digest — 2026-04-02 New Signals - Apple Research introduced latent lookahead training, enabling transformers to perform multi-step reasoning in latent space before committing to token predictions—addresses fundame
AI-SWE Digest — 2026-04-01 New Signals - TinyLoRA achieves 91% accuracy on GSM8K with only 13 trained parameters—a 1000x reduction vs conventional LoRA—demonstrating extreme parameter efficiency for reasoning tasks. - Fa
AI-SWE Digest — 2026-03-31 New Signals - Ollama now runs on MLX backend for Apple Silicon with NVFP4 quantization and KV cache optimizations—first major LLM inference tool to ship production MLX support for M-series Macs
AI-SWE Digest — 2026-03-30 New Signals - Streaming Experts technique enables running massive MoE models like Qwen3.5-397B on consumer hardware by streaming expert weights on-demand—flash-moe achieves practical token-per-
AI-SWE Digest — 2026-03-27 New Signals - RepoRepair achieves SOTA on SWE-bench by leveraging code documentation for fault localization and repair—first approach to systematically use documentation-enhanced retrieval for
AI-SWE Digest — 2026-03-26 New Signals - PyTorch releases Generalized Dot-Product Attention (GDPA) kernel achieving 2-3.5× speedups on NVIDIA B200—replaces softmax with custom activation functions for recommendation syst
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