Open-Source AI & Open Models Reading List
Interconnects has published a reading list on open models, covering foundation topics.
#Data/Training
InterconnectsAI Score2020
Mistral AIAI Score2222 Cloudera and Mistral Partner to Bring Specialized, Sovereign Intelligence to Enterprise Data
Mistral and Cloudera have partnered to bring sovereign AI to enterprise data, integrating Mistral models with Cloudera's hybrid data platform for inference in private.
Google DeepMindFeaturedAI Score8383 Google DeepMind launches AlphaGenome Atlas, a 1-petabyte map of 9 billion single-letter DNA variants
Google DeepMind introduced AlphaGenome Atlas, a platform with precomputed AlphaGenome predictions for the effects of 9 billion single-nucleotide variants.
Why it matters: The 1-petabyte scale and the AVI score show how a precomputed variant map changes what geneticists can screen without lab work.
Microsoft ResearchAI Score3636 GigaPath-Flash and GigaTIME-Flash: Toward population-scale discovery with efficient pathology foundation models
Microsoft Research released GigaPath-Flash and GigaTIME-Flash.
Import AIAI Score2626 Import AI 470: No rights for machines; SPADE automates environment generation; Hawkeye builds better GPU kernels
Import AI 470 covers a METR study finding AI sharply accelerated cyber vulnerability discovery in 2026 but only marginally helped math and showed no measurable speedup in AI research itself. It also highlights SPADE, a self-play framework that co-evolves executable environments and agents, boosting Qwen3-30B-A3B to a 58.3 suite average (+8.1 over base), plus Hawkeye for GPU kernels.
Import AIAI Score3434 Import AI 469: Science AI, RSI simulator, and Zuck's technological pessimism
Import AI 469 covers DiG-bench, a 70-game benchmark testing whether AI can infer hidden rules through exploration.
Berkeley AI ResearchAI Score2727 Teaching LLMs to Update Beliefs for Efficient Long-Horizon Interaction
Berkeley AI Research proposes ABBEL, a framework that replaces full interaction history with natural-language belief states and supervises their content via belief grading. On CollabBench collaborative coding, reconstruction-based belief grading cuts the gap to full-context models by about 50% and trains in 50 steps instead of 100, while using fewer peak tokens.
Berkeley AI ResearchAI Score3030 Intelligence is Free, Now What? Data Systems for, of, and by Agents
UC Berkeley's Aditya Parameswaran argues near-free inference (GPT-4-class costs fell from ~$30 to under $1 per million tokens) demands redesigning data systems for.
Berkeley AI ResearchAI Score3131 Adaptive Parallel Reasoning: The Next Paradigm in Efficient Inference Scaling
Berkeley AI Research surveys adaptive parallel reasoning, where a model itself decides when to decompose subtasks.
Berkeley AI ResearchAI Score2929 GRASP: Gradient-Based Planning for World Models at Longer Horizons
Berkeley AI Research proposes GRASP, a gradient-based planner for learned world models that lifts trajectories into virtual states for parallel-in-time optimization.
Berkeley AI ResearchAI Score2727 Information-Driven Design of Imaging Systems
Berkeley AI Research researchers developed an information-based framework for evaluating and optimizing imaging systems.