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OpenAI's new open-source model is basically Phi-5(seangoedecke.com)
372 points by emschwartz | 200 comments
Sean Goedecke's blog post arguing that OpenAI's open-weight gpt-oss models resemble Microsoft's Phi series, strong on benchmarks but weak on out-of-domain knowledge.
SmolLM2(simonwillison.net)
86 points by edward | 20 comments
Related stories
GPUs Go Brrr(hazyresearch.stanford.edu)
1056 points by nmstoker | 243 comments
Stanford Hazy Research blog post on what GPU hardware wants for efficient AI kernels, introducing the ThunderKittens CUDA kernel library.
AWS Bedrock to require sharing data with Anthropic for Mythos and future models
369 points by TomAnthony | 216 comments
Hacker News discussion of Anthropic requiring 30-day data retention for Mythos-class Claude models on AWS Bedrock, moving data outside AWS's security boundary.
Building the heap: racking 30 petabytes of hard drives for pretraining(si.inc)
392 points by nee1r | 267 comments
Standard Intelligence blog post describing how they built a 30-petabyte hard drive storage cluster in a San Francisco colocation center for under $500k to store video pretraining data.
GPT-3.5 Turbo fine-tuning and API updates(openai.com)
363 points by davidbarker | 205 comments
OpenAI blog post announcing fine-tuning support for GPT-3.5 Turbo, letting developers customize the model with their own data, plus related API updates.
My finetuned models beat OpenAI's GPT-4(mlops.systems)
376 points by majc2 | 86 comments
Blog post evaluating finetuned Mistral, Llama3 and Solar LLMs against OpenAI's GPT-4 on accuracy for structured data extraction from press releases.
I don't like NumPy(dynomight.net)
399 points by MinimalAction | 164 comments
A Dynomight blog essay critiquing NumPy's design, arguing its array broadcasting and indexing make complex computations confusing.












