Aethelgard's aim: bounded, gated, reversible recursive self-improvement for code repair. Deterministic and provable - not hype.
Build it. Test it. Prove it. Then claim it.
Follow for the unseen-benchmark run. #SWEbench#AI#ML#LLM#OpenSource#CodingAgents#SelfImprovingAI
Being precise: these 5 are in-sample (used in development). So this proves the patches are genuinely correct - not yet that it handles unseen bugs.
Unseen-bug testing is in progress, published the same way when proven.
#SWEbench#AI#MachineLearning#LLM#SelfImprovingAI
Don't trust me โ verify it.
Predictions, harness report, and reproduction steps are public. pip install swebench, run the file, get the same 5/5:
๐ https://t.co/Br5Rj5mT2e
#SWEbench#AI#ML#LLM#SelfImprovingAI
The result: 5 Aethelgard-generated patches โ astropy-12907, 13236, 14309, 14539, django-14559 โ all RESOLVED by the official SWE-bench harness. 0 errors.
Graded by the maintainers' code, not mine. That's the point.
#SWEbench#AI#ML#LLM#SelfImprovingAI
Everyone talks about self-improving AI like it's science fiction.
I built a repair system and did something different: I published proof you can verify yourself.
5 patches, independently confirmed by the official SWE-bench harness. ๐งต
#SWEbench#AI#ML#LLM#SelfImprovingAI
Just published CodeTruth Agent V2 โ deterministic pre-modification governance for Python. No LLM, fully deterministic, open source.
Evaluated on 8 repos (Django, transformers, Flask) โ 7,862 files, zero pipeline errors.
GitHub: https://t.co/31ffzDzn4t
#Python#OpenSource
๐ Just open-sourced CodeTruth Agent V1
A rule-based safe-merge reasoning system for Python.
Core philosophy:
same structure โ safe merge
๐ https://t.co/OdNHwymB8W
#Python#OpenSource#AI
Every breakthrough starts with a single question:
โCan intelligence evolve beyond the limits we see today?โ
My journey is focused on exploring that possibility โ responsibly, safely and with purpose.
#FutureOfAI#NovaBrain#AGI#AI#OpenAl#xAI#Anthropic#GoogleAI#DeepMind #MetaAI #LivingIntelligence #AICommunity #AI #technology #ML #MachineLeaning
๐งฉ The Gap Between RAG and Guardrails:
RAG grounds AI in facts.
Guardrails keep AI outputs safe.
But neither helps the model understand or evolve from its mistakes.
Thatโs the missing link โ the gap between knowledge and wisdom.
#FutureOfAI#NovaBrain#AGI#AI#OpenAl#xAI #Anthropic #GoogleAI #DeepMind #MetaAI #LivingIntelligence #AICommunity #AI #technology #ML #MachineLeaning
๐ง Thinking โ Processing.
Traditional AI follows instructions.
AGI goes further โ it understands context, forms intentions and learns from outcomes, not just data.
Itโs the difference between imitation and true cognition.
#AGI#AI#NovaBrain#OpenAl#xAI#Anthropic#GoogleAI #DeepMind #MetaAI #LivingIntelligence #AICommunity #AI #technology #ML #MachineLeaning
๐ค Can machines really think?
Not just compute or simulate โ but reason, reflect and evolve like us.
Thatโs the heart of AGI (Artificial General Intelligence).
And weโre closer than most realize.
#AGI#AI#NovaBrain#OpenAl#xAI#Anthropic#GoogleAI#DeepMind#MetaAI #LivingIntelligence #AICommunity #AI #technology #ML #MachineLeaning
AI isnโt a bubble โ the strategy around it is.
The real ROI wonโt come from adopting AI tools, but from re-designing the business inside AI itself.
Let AI observe, diagnose and evolve the system.
Thatโs how the New Era begins โ value by design, not by hype.
This mindset โ what I call AI-Originated Design (AOD) โ is about allowing intelligence to re-architect the enterprise for continuous ROI and resilience.
#NovaBrain #OpenAl #xAI #Anthropic #GoogleAI #DeepMind #MetaAI #LivingIntelligence #AICommunity #AI #technology #ML #artificial_intelligence
These scores are generated automatically by NovaBrain built-in verification engine, which evaluates every reasoning cycle for logic, neutrality and bias.
For reference, existing AGI benchmarks (ARC-AGI, AGIEval, GAIA) test reasoning and knowledge, while NovaBrain adds live logicโneutralityโbias verification for real-time intelligence assessment.
#NovaBrain #OpenAl #xAI #Anthropic #GoogleAI #DeepMind #MetaAI #LivingIntelligence #AICommunity #AI #technology #ML
Tested NovaBrain AI reasoning stability using a simulated real-world car-test scenario.
Logic 0.96 | Neutrality 0.93 | Bias 0.95 โ PASS
Verified through AGI Benchmark + NovaBrain LDI Live interface.
Proof that structured, ethical and factual reasoning is possible in real time.
#NovaBrain #OpenAl #xAI #Anthropic #GoogleAI #DeepMind #MetaAI #LivingIntelligence #AICommunity #AI