Open-Sources Multiple AI Prototypes, Teases Model Forgetting and Low-Cost Training Research
themoroccanship · reddit · 2026-08-02
A developer shared three open-sourced AI research prototypes:
- Tilelli LLM: Aims to solve hallucinations by saying "I don't know" instead of bluffing.
- Yaz: A model capable of CRUD operations.
- Atome LM: A micro language model tested and verified to run on a $5 chip.
Additionally, the author teased three new research releases in August, covering methods to make any model forget knowledge quickly and cheaply, improve RWKV recall by 4x, and reduce training costs by 10 to 13 times.
More from Research
- Netflix details its production LLM judge: hundreds of thousands of recommendations scored weekly — omarsar0 · 2026-08-24
- Nature Comment: Provenance, not interpretability, grounds trust in autonomous science — gabepgomes · 2026-08-24
- New Architecture RHEA: Train 1B Model on 8GB VRAM — zemondza · 2026-08-24
- Trained two 16M-param models to do generative CAD with real physics — debreuil · 2026-08-24
- Claude model helps discover complex structure on S^6, solving 60-year-old math problem — Singularitarian · 2026-08-24
- Study: Agents read instructions/notes 60.5% of the time, rarely touch API docs — dair_ai · 2026-08-24