Claude Fable 5 and Mythos 5 are out.
More interested in:
• agent reliability
• tool-use robustness
• hallucination rates
• adversarial resistance
• long-context performance
New models are exciting.
New failure modes are even more interesting.
#AI#LLM#Claude#AIAgents
VibeSec v0.4.0
Now scans public GitHub repos directly:
vibesec scan https://t.co/6rnhos4NC1
No clone needed. Finds real vulnerabilities
in seconds.
pip install --upgrade vibesec
https://t.co/3j88Tt7NEi
#CyberSecurity#OpenSource#Python#DevTools#AppSec#OWASP#GitHub#AI
Built a security scanner for AI-generated code.
Ran it on my own projects.
Found 4 vulnerabilities in my own code.
45% of AI-generated code has critical security issues.
pip install vibesec
https://t.co/3j88Tt7NEi
#VibeSec#Security#OpenSource#Python#CyberSecurity#AI
Would love feedback from the AI community on the
scoring approach — especially the hallucination
detection methodology.
GitHub: https://t.co/tB0twWNP56
cc @karpathy@GroqInc
@hackernoon Agreed. Prompts are just one layer.
The real work is in orchestration, data flow, and making outputs consistent enough to trust in production.
🚨 This repo hit 50K stars in 2 hours… then 100K+.
Why?
Anthropic accidentally leaked the code behind its AI coding agent.
Within hours:
→ devs analyzed it
→ rebuilt it
→ open-sourced alternatives
But this isn’t the real story.
The leak exposed how modern AI agents works
#AI
I built an interactive Physics-Informed Neural Network (PINN) simulator that learns to solve the heat equation using deep learning instead of traditional numerical solvers.
Live demo:
https://t.co/lYiWWIIdyM
#MachineLearning#AI#Physics#PyTorch#DataScience#softwareengineer