Browse Comments — Clean (de-noised)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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Business needs it ai workflow to done there daily repeatative tasks with one trigger like click or chat manual for that I'm also using AI in SEO for my clients to get results fast than usual
Great resources.
📌 Sometimes I think: When will the UAE stop surprising me but everyday i woke up with even bigger news Such audacity only SMZ can pull off Nadeem Zaman نديم زمان
Evripides Achilleos Halting problem
Yes, agree with you
What caught my attention is the focus on agent memory and multi-agent workflows. Those topics seem to be becoming the equivalent of distributed systems patterns in the AI world
The gap between learning AI concepts and actually building systems is real. It's great to see a resource that combines notebooks, workshops, and production-ready applications in one place.
Abhishek Veeramalla do you just this to a beginner?
Abhishek Veeramalla Al is making audits faster, but the real advantage is still knowing what to do with the insights. Tools can flag problems in seconds. A skilled media buyer knows which fixes will actually move revenue, improve efficiency, and create scalable growth.
The next phase of AI strategy and implementation will be discerning where to use AI and where to go back to pure programming to drive automation. Not using AI to solve all use cases will help with the environmental footprint.
The future belongs to those who move beyond learning AI and start building with it. Practical, production-ready resources like these bridge the gap between theory and real-world impact. 🚀
I wanted to learn MATLAB and I have been taking course provided by Mathworks.. I was suggested to do some GitHub project by many people. However, I wasn't able to navigate and understand how these projects and coding works. Can you help me out?
Dr. Hassabis, You wrote that agents and world understanding will be crucial for achieving AGI. I wonder whether AGI research may be starting from the wrong end of the problem. Most approaches begin with cognition, language, and human behavior. My work starts with a simpler question: what is the minimal form of life capable of continuing itself in a changing environment? From this perspective, reason emerges as a mechanism for navigating reality in service of life's continuation, rather than as a property of cognition itself. This raises a question that I rarely see discussed: should intelligence be derived from human cognition, or from the minimal functional requirements of life? I explored this idea in the work below and would be interested in your thoughts.
Kun Cheng I think AGI research may be starting from the wrong end of the problem. Human language, reasoning and consciousness are already highly evolved products. The more fundamental question is: what is the minimal mechanism required for life to continue itself in an uncertain environment? Once a system must obtain resources, distinguish useful from harmful and make choices, the foundations of reason already begin to emerge. Perhaps we should derive intelligence from life rather than derive life from intelligence.
Awesome! This is all in one, it's like having a cheat code. Java could be easily accessible. Abhishek Veeramalla Thank you.
Would love to connect with you to discuss speaking at Ai4 2026 in Vegas!
Rebecca Human AI Trust Leader Thank you for always adding value apologies I am just seeing now.
Chloe C. Devine, excellent comment. Apologies, I am just seeing it now.
James Welniak Excellent apolpgies I am just seeing now.
One thing I appreciate about frontier research is that it forces us to think beyond the next product cycle. The most impactful breakthroughs often begin as scientific questions long before they become commercial opportunities. By the time the world notices, years of foundational work have already been done. Innovation tends to look sudden from the outside and gradual from the inside.