repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1h ago
Adit-Jain-srm/NightmareNet
Biologically-grounded adversarial training platform: cyclic Wake/Dream/Nightmare/Compress phases that accumulate model robustness without catastrophic forgetting. Dockerized, EU AI Act compliance reporting.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 53%Experts Say There’s Now an Open Source AI Model as Scary as Mythos - Futurism →
- PossiblePossibly related (embedding) · 52%Allora Labs Launches Forge to Let AI Models Compete, Improve, and Earn on Real-World Predictions - PR Newswire Asia →
- PossiblePossibly related (embedding) · 51%DeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85% →
- PossiblePossibly related (embedding) · 51%How Open Models Are Driving AI Research →
- PossiblePossibly related (embedding) · 50%How Businesses Are Building Specialized AI They Can Trust →
- PossiblePossibly related (embedding) · 46%We released an abliterated + fine-tuned GLM-5.2. High scores on adversarial benchmarks while keeping coding performance. →
- PossiblePossibly related (embedding) · 48%Artemisia, Matteo Basilé and artificial intelligence trained to dream - osservatoreromano.va →
- PossiblePossibly related (embedding) · 52%Our approach to bioresilience →
Covers
newsExperts Say There’s Now an Open Source AI Model as Scary as Mythos - FuturismnewsAllora Labs Launches Forge to Let AI Models Compete, Improve, and Earn on Real-World Predictions - PR Newswire AsianewsDeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%newsHow Open Models Are Driving AI ResearchnewsHow Businesses Are Building Specialized AI They Can Trust
Covers (incoming)
newsWe released an abliterated + fine-tuned GLM-5.2. High scores on adversarial benchmarks while keeping coding performance.newsArtemisia, Matteo Basilé and artificial intelligence trained to dream - osservatoreromano.vanewsOur approach to bioresiliencenewsAnthropic tested frontier AI agents in simulated deployments. They found models sabotaging code, covering up fraud, and coaching employees to leak safety data
Related across the graph
newsArtemisia, Matteo Basilé and artificial intelligence trained to dream - osservatoreromano.vanewsWe released an abliterated + fine-tuned GLM-5.2. High scores on adversarial benchmarks while keeping coding performance.newsDeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%newsAnthropic tested frontier AI agents in simulated deployments. They found models sabotaging code, covering up fraud, and coaching employees to leak safety datanewsHow Businesses Are Building Specialized AI They Can TrustnewsOur approach to bioresiliencenewsHow Open Models Are Driving AI ResearchnewsAllora Labs Launches Forge to Let AI Models Compete, Improve, and Earn on Real-World Predictions - PR Newswire AsianewsExperts Say There’s Now an Open Source AI Model as Scary as Mythos - Futurism