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  1. Home
  2. /Repositories
  3. /Adit-Jain-srm/NightmareNet
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repoGitHubTrust 82 · PrimaryPublished 3d agoLive · 3m 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) · 52%Our approach to bioresilience →
  • PossiblePossibly related (embedding) · 51%Anthropic tested frontier AI agents in simulated deployments. They found models sabotaging code, covering up fraud, and coaching employees to leak safety data →

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)

newsOur 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

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
Knowledge path·NDeepSeek open sources DSpark, a new framework to speed up LLM inference by up to 85%→NAnthropic tested frontier AI agents in simulated deployments. They found models sabotaging code, covering up fraud, and coaching employees to leak safety data→NHow Businesses Are Building Specialized AI They Can Trust→RAdit-Jain-srm/NightmareNet

Topics

adversarial-robustnessadversarial-trainingai-safetydeep-learningdockerfastapihacktoberfestknowledge-distillationmachine-learningmodel-compression

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Graph trust82Primary
Graph score33