Browse Comments — Clean (de-noised)

Akpokonyan Augustine agentic coding is only as good as the person giving the instructions. Cost skyrocket when the human behind the instructions has no clue what it is they are asking the ai agent to do.

Soren Kai History might not get a chance to record if we were too late?

Amar A. Thanks! I realized that the chicken nugget is too hot for the ants

The 2-pass (generate → edit) pattern is exactly what architectural site flythroughs need. The hard part isn't generation - it's "fix the one wrong thing without re-rolling the entire 30-second clip." Does Gemini Omni's edit pass hold consistency on the rest of the frame, or does it nudge other regions when you target one area?

I have an error in my GitHub account ..... Anyone help me 😔

Matthew Kilkenny That's the weight of it. The scenarios where we got it wrong badly enough may not leave anyone positioned to assess whether we were too late or whether the right questions were being asked. Which is either the strongest argument for urgency or the most paralyzing one, depending on the day.

Perhaps one of the most exciting aspects of AI is not that it provides answers, but that it lowers the cost of exploration. Throughout history, many valuable ideas remained unexplored because people lacked the time, resources or specialized support to pursue them. If AI can reduce that friction, it may allow more individuals to experiment, create and contribute in ways that were previously out of reach. The future may not belong to those who have all the answers, but to those who are able to ask better questions.

A lot of people are focused on which AI model is winning. The bigger opportunity is learning how to build systems around those models. Models will keep changing. The professionals and companies that create value will be the ones who understand workflows, memory, retrieval, orchestration, and how to connect AI to real business problems. Repositories like this help close the gap between consuming AI and actually implementing it. The real competitive advantage in the AI era won’t come from prompting better. It will come from combining business understanding with execution. The winners won’t necessarily be AI experts; they’ll be the people who can identify a problem, design a solution, and deploy it at scale. AI is quickly becoming a commodity. Turning it into measurable outcomes is what will create lasting differentiation.

Thanks Abhishek Veeramalla for sharing!

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It’s deeply always insightful to hear Terence Tao.

5 years is a long time in Ai !! Question - does a female of 16 yrs , currently sitting GCSE’s - finishing school at 18 then go to uni ? Or Do something else ? Thought? My advice get off snap chat and learn Ai tools after your exams / become a life guard , set up a small side Hustle producing Ai content for SME’s and see Where Ai is in 2yrs .

Really interesting perspective, reducing the friction of research could open the door to ideas that might never have been explored otherwise. Fascinating conversation between Terence Tao and Mark Chen.

AI doesn't take away your job; it takes away the "things that aren't worth doing" from your job and then scales up the "things that only you can do" to an unprecedented scale.

The gaping (destructive) hole in the dominant technocracy is the complete lack of biological intelligence. Janine Benyus shared ‘nature manufactures materials under life-friendly conditions (not industrial "heat, beat, and treat") methods. Vast global intelligences and complex structures are created in water, at room temperature, and without toxic waste. This is a failed technology until its development creates "conditions conducive to life". Anything else should be a non-starter.

Incredible updates! Seeing the staggering pace of frontier models like Gemini 3.5 Flash and Omni really underscores why we are building the foundation for a Cognitive Economy. As you push the boundaries of agentic capabilities and world understanding toward AGI, platforms like NIIOMA are ready to orchestrate these breakthroughs into the actual global business operating model. Responsible, secure, and fast deployment is exactly how we unlock that force multiplier for human flourishing.

This is a goldmine. Thanks Abhishek.

Well, to get this out of the way: NVidia is full of shit. They've been funding purchases of their own products to inflate their stock price for years, now. That said, nobody is going back to work for a company that cut them loose the second they could save a penny on the position. These big companies burned bridges by the thousands because they thought they didn't need people anymore. Play with fire and get burned...

Excited to learn and experience what possibilities Ai opens up for researchers and innovators.

Hmm... but AI cannot see past past, a portion of history. Corroboration? Correlation? Complex analyses that aid? All yes. But that it gives "researchers more freedom to pursue ideas that once felt too unexpected, too ambitious, or too time-consuming to explore", were they complaining?