Biology AI Trend: Long-Context RNA Models + AlphaFold's Massive Protein Expansion
Frontier biology AI scales up:
- EVA RNA breakthrough: Long-context generative foundation model trained on 114 million full-length sequences to...

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Frontier biology AI scales up:
Trend alert: Emerging sparse attention is tackling context rot and KV cache memory bottlenecks for ultra-long LLMs.
Early SSM disruption signal: Together.ai's open-source Mamba-3 outperforms Transformer baselines by ~4% on language modeling while running 7x faster...
Novel optimizers are revolutionizing LLM training by surpassing Adam and enhancing scaling:
Trend alert: Agent ecosystems are unifying fragmented frameworks to enable self-design and full autonomy.
PackyM urges: Read his list this weekend (bonus: all papers) to join the very few grasping the far-reaching shift to world models. Early signal for the next paradigm.
OSM-based domain adaptation targets remote sensing vision-language models. Join the paper discussion to explore this geospatial AI breakthrough.
OpenAI's new GPT-5.4 mini and nano shrink the flagship model for high-volume tasks like coding subagents and multimodal jobs, inheriting core...
New paper explores on-policy reward modeling and test-time aggregation to enhance reasoning over mathematical objects—a fresh RL push for agentic math capabilities.
Meta's Omnilingual MT supports 1,600 languages, hitting 134 points on Hacker News – a massive multilingual scaling milestone for foundation models.
Databricks launches AI Runtime: scalable, serverless NVIDIA GPUs for training deep learning and finetuning OSS GenAI models – no infrastructure management needed.
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