maziyar

6 ms·

1.
by maziyar 1mo ago
Yeah thankfully we have more than we had in 2025! I am sure we will see even more open models by US based startups before the end of 2026
2.
by maziyar 2mo ago
distillation: Pirates people’s lifetime of copyrighted work, makes billions selling access to it through APIs, then tells us we can only use it in ways they approve.
3.
by maziyar 6mo ago
full article: https://huggingface.co/blog/OpenMed/training-mrna-models-25-...
4.
Training mRNA Language Models Across 25 Species for $165
148 points by maziyar 6mo ago|42 comments
5.
SynthVision: Building a 110K Synthetic Medical VQA Dataset(huggingface.co)
3 points by maziyar 6mo ago|1 comments
6.
by maziyar 6mo ago
We annotated 119K medical images with two frontier VLMs (Qwen 3.5, Kimi K2.5), cross-validated at 93% agreement, and produced 110K training records, all for under $500. Fine-tuning 3 small models (2-3B params) improved all benchmarks: best
7.
The ML Engineer's Guide to Protein AI(huggingface.co)
1 points by maziyar 7mo ago|1 comments
8.
by maziyar 7mo ago
The 2024 Nobel Prize in Chemistry went to the creators of AlphaFold, a deep learning system that solved a 50-year grand challenge in biology. The architectures behind it (transformers, diffusion models, GNNs) are the same ones you already u
9.
From Golden Gate Bridge to JSON: Why Anthropic's SAE Failed on JSON Output(huggingface.co)
2 points by maziyar 7mo ago|1 comments
10.
by maziyar 7mo ago
After six experiments and dozens of failed attempts, I learned something I did not expect: activation steering, the technique Anthropic uses for AI safety, completely fails for one of the most common tasks in production LLM deployments: gen
11.
by maziyar 8mo ago
i think it's very flattering to have done something with $20m that is so good people think it must have been a $100m!
12.
by maziyar 2y ago
In other words they managed to fake it until they make! Like most visionaries in silicon valley, lie now, tweet about it, prompt it through fake influencers with their mouth open on YouTube, get that VC money without any due diligence, hire