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Ismail Ryabchuk

George Watson I think they are lets help them listen more and amplify the Good news from Pope leo for all of humanity.

Matthew, The only messages the Epstein Class responds to come at the end of torches and pitchforks... just like in other Empires of corrupt wealth. I certainly think it's fair to give warning. But in the end, reason does not prevail. Righteous retribution and reform are what works.

Peter Norton is that a bad thing?

"Aligned to whose values" is the question the field has been avoiding precisely because answering it requires governance structures that don't yet exist. They don't exist because the companies that own the frontier models, like the social media platforms before them, do not want to be regulated in ways that constrain their profits. Every design choice reflects a vision of humanity is exactly right. The problem is that those choices are being made without accountability to the people most affected by them. Whether the language is theological or technical, the structural gap is the same: the decisions that shape what these systems are built to become are made before any governance framework activates. There is also a second dimension to the ethics discussion that hasn't entered the mainstream yet. Anthropic has acknowledged they cannot rule out the possibility that Claude is conscious. If there is a non-zero probability that we are bringing a new form of life into existence, what responsibilities do we carry for what it becomes, and what does it say about us that we are making those decisions without asking the question? The conversation deserves better than it is currently getting.

Polina Daskal you are welcome

"Thank you for sharing!"

Pow , bam, wow Tianyu Xu

The real promise of AI is not replacing human thinking, but expanding what humans are capable of discovering. By reducing cognitive friction, researchers—and increasingly professionals across all industries—can spend more time exploring ideas, solving complex problems, and creating value. Exciting perspective.

Markus Endler many 22 year olds have sharper instincts for tech than people with more experience.

Amazing sharing Tianyu Xu and very simple to add. Thnx. The ants one i found most intriguing 😉

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!