@wasd_network@EricDJuly AI agents write the code. Humans approve it without reading it, probably because of incompetent hires who lack the technical skills to understand the code in the first place. Eventually, nobody understands the system anymore. Then something breaks, and nobody knows how to fix it.
@msorrentino91@EricDJuly AI agents write the code. Humans approve it without reading it. Eventually, nobody understands the system anymore. Then something breaks, and nobody knows how to fix it. 😂
@RealSharpenIron@EricDJuly Microsoft has access to so many powerful AI models, yet it still takes 24 hours to debug Outlook? 🤔 And they say AI is insanely powerful.
There's so much to learn from Tom Brady.
His discipline, resilience, and relentless pursuit of excellence inspire me.
Greatness isn't built overnight. It's built through consistency and never giving up.
Video source: https://t.co/P2RWAwNxic
@Wordofwise_ Thank you for sharing this! It's exactly why I keep training every day. Like Jalen Brunson said, never be afraid to fail. If you put in the work on your own in the offseason, you won't fear the big moment. And even if you fail, you'll learn from it and come back better.
We hope this survey helps organize the rapidly growing literature on multimodal AI safety and supports future research on trustworthy MM-LLM systems.
Feedback and discussions are very welcome!😀
Excited to share our survey accepted at the ICLR 2026 Trustworthy AI Workshop.
📄Evolving Safety Landscape of Multimodal Large Language Models
We propose a taxonomy of MM-LLM threats and discuss emerging safeguards.
arXiv soon
https://t.co/AUFs97VSlL
Happy to connect @ ICLR!
As LLMs increasingly integrate multiple modalities (vision, language, audio, etc.), the safety landscape changes significantly.
Cross-modal alignment and fusion introduce new risks that are not well captured by traditional uni-modal threat models.
In this survey we:
• propose a taxonomy of safety threats in MM-LLMs
• analyze how threat models evolve in multimodal systems
• review emerging safeguards and defenses
• highlight open research challenges