Browse Comments — Clean (de-noised)

The industry is moving from AI hype to AI accountability. The real question was never whether AI can replace humans — it’s whether companies can use it sustainably, strategically, and at scale. The future belongs to organizations that combine human expertise with AI efficiency, not those trying to choose one over the other.

Gavin D. in my current sample more than old research is weird open source authors, masters dissertations, and other strange sources. But that is actually very easy to fix by modifying the prompts, and some students that have clearly used AI now have mechanically good references, from good sources, what they quote from them remains sketchy, because the content needs understanding and they do not always spend the time with the source to understand the reference/quote.

Claude Code works best when you guide it clearly step by step.

I'm too tired. I'm not get ready to remember anything.

A lot of people assume AI coding removes the need for thinking. What it actually removes is some of the friction between decisions. The hard part still lives in judgment: defining the problem clearly, sequencing work, noticing failure modes, and knowing when something is “working” versus merely producing output.

The real leverage is not in the prompt, it is in how well you structure and refine each step. Leonard Rodman, M.Sc. PMP LSSBB CSM CSPO Workato

Step by step building always beats random prompting and hoping.

Stefano Caserta really interesting, I oscillate between similar feelings and more positive takes and

This is so important Matthew Kilkenny

Steady State Of Human Flourishing is the goal. Maximally Beneficial AI for Humanity is the means. That is what we need. With current AI: Humanity is sleepwalking into surrendering human dignity, agency, labor, morality, and even war-making to systems optimized for power, speed, profit, and control.

Václav Šulista thank you for always supporting the mission and being the first to purchase from the online store to help raise the discussion on ethical-AI-now brother. That will never be forgotten!

Soon down the road, at this scale, AI will likely run out of compute capacity too. Recently, in North America, so much push back is coming against new AI data centers. Even, some environmental agencies are scrapping proposals of new AI data centers as studies are out about surrounding environmental impacts of such infrastructures. Even on local computation infra, when we observe the mac mini shortage, it tells the same story, not able to keep up with computation demand. Economics is all about demand and supply & when one gets disbalanced, we know what comes next.

Ethicalainow.com Is still in Beta and will be updated accordingly.

Claude Code feels less like autopilot and more like a super fast teammate.

Dan Blake

This hits the core of the issue, Matthew Kilkenny. Technology is never morally neutral. When organizations chase speed over human experience, they sacrifice their "moral imagination". Real resilience requires anchoring our processes in humanity long before we deploy the algorithms.

Most AI coding mistakes happen when people skip the thinking part.

Fredrik Holmberg Will definitely read it. She is great. Thank you for the link.

I will always do until God calls me home, Matthew Kilkenny. 🙏🏻

Congratulations on this pivotal milestone and well done Matthew Kilkenny!! Thanks so much for the concise breakdown on some of these points and for all your great efforts in this field. The future surely does concern all of us, and can accommodate all people, if we build it that way. Now is the time to use our best judgment, for that is what we will need to find the path forward through all we are dealing with now.