“AI safety is not achieved through limits… but through coherence.”

I’m sharing this document as an open reflection on how we might build safer artificial intelligence systems—not through restriction, but through internal architecture. It’s based on real-world tests developed in controlled environments, using symbolic and structural training methods. IA Safety

Apple plans to ‘significantly’ grow AI investments, Cook says.[1] Amazon CEO wants to put ads in your Alexa+ conversations.[2] OpenAI spearheads one of Europe’s biggest data centers with 100,000 Nvidia chips.[3] Google AI Introduces the Test-Time Diffusion Deep Researcher (TTD-DR):

https://reddit.com/link/1menpn5/video/3ra4c5hybcgf1/player Recently I have developed and contributed in spy search which is basically an ai agent framework that search pretty quick https://github.com/JasonHonKL/spy-search . Their team (hehe which is me further optimize the workflow and use go lang to rewrite.) we

Someone with zero tech background at large medical charity asked me, with nil Ai knowledge, how/what/who to set up chat bot for users who will vary from unknowingly cognitively impaired and/or low education all the way to MD researchers, in

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Ever since discourse around AI has come to prominence, I’ve always believed this one thing: AI is a great tool, but AI is a lousy product. Example: Today, I had to recall exactly when my employer changed its 401k provider

Would love to get people’s thoughts on this topic. I believe that the only way to ever create something that has the freewill thinking ability and broad scale life-like ideation of humans is to mirror us. Using Google / ChatGPT