LLMs as Compilers(resync-games.com)

28 points by kadhirvelm 1 year ago | 38 comments

Generating Music Tracks with Unified Representation and Diffusion Framework(ai-muzic.github.io)

82 points by laurieg 3 years ago | 33 comments

EzAudio: Enhancing Text-to-Audio Generation with Efficient Diffusion Transformer(haidog-yaqub.github.io)

73 points by blacktechnology 2 years ago | 10 comments

To avoid being replaced by LLMs, do what they can't(seangoedecke.com)

36 points by gfysfm 1 year ago | 40 comments

Show HN: Huzzah – a novel approach to coding with AI(danielvaughn.dev)

334 points by danielvaughn 2 months ago | 178 comments

Blog post introducing Huzzah, an experimental editor where you write pseudocode that is synced to real source code by AI on save, with the pseudocode kept as intent.

Talking to LLMs has improved my thinking(philipotoole.com)

117 points by otoolep 9 months ago | 95 comments

MLow: Meta's low bitrate audio codec(engineering.fb.com)

551 points by mikece 2 years ago | 188 comments

Engineering at Meta blog post introducing MLow, Meta's low bitrate audio codec for real-time calling.

Some notes on Rust, mutable aliasing and formal verification(graydon2.dreamwidth.org)

323 points by todsacerdoti 2 years ago | 119 comments

A Dreamwidth blog post by Graydon Hoare with notes on Rust, mutable aliasing, and formal verification; the capture shows only a captcha check page.

AI Made Writing Code Easier. It Made Being an Engineer Harder(ivanturkovic.com)

343 points by saikatsg 7 months ago | 242 comments

Blog post by Ivan Turkovic arguing that AI tools make producing code easier while making the broader job of being a software engineer harder.

How OpenAI delivers low-latency voice AI at scale(openai.com)

480 points by Sean-Der 5 months ago | 141 comments

OpenAI engineering blog post explaining how the company delivers low-latency voice AI conversations at scale.

AI models can provably hide arbitrary capabilities(arxiv.org)

252 points by sbulaev 13 days ago | 118 comments

An arXiv paper showing AI models can embed encrypted neural network backdoors that provably hide arbitrary capabilities from elicitation-based safety evaluations.

Neural Networks: Zero to Hero(karpathy.ai)

693 points by suioir 9 months ago | 63 comments

Andrej Karpathy's free video course page on building neural networks from scratch in Python, from backpropagation (micrograd) up to GPT-style language models.