Browse Comments — Clean (de-noised)

Great analogy. Nobody builds something solid without checking the weak spots.

the prompt is just the start the craft is everything that comes after it!!

Data centres could provide solar for every building in the area to offset their energy consumption, and could provide rainwater recovery either on their own buildings or for locals, to accommodate their water needs. Grownups do this kind of thing.

Yes, Gary Kucher - there's a growing body of evidence that points to similar harm, which is especially concerning re' developing brains. The brain doesn't care what it's exposed to, it simply changes accordingly, and whether the changes serve it long-term isn't its concern ...

This feels very real compared to all the hype around AI coding lately.

This is a thoughtful overview, especially because it includes the caution that often gets missed in conversations about fasting. One nuance I think matters is that fasting is not only a question of the fasting window. The response depends on the whole biological and lifestyle context around it: metabolic health, medication use, stress, sleep, protein intake, micronutrient adequacy, and the quality of what someone eats when the fast ends. That is where the discussion becomes more practical. Some mechanisms linked to fasting are promising, but in real life, the value comes from whether the approach is safe, sustainable, and nutritionally complete for that individual. Fasting can be a useful tool for some people, but it should not be treated as a universal shortcut. The pattern around the fast matters just as much as the fast itself.

Thanks. I read a really good comment by swedish academic Virginia Dignum in Umeå University:

An American who leads towards positive change- construction, not destruction, who values the Hu animal's ability to discern, who shows us that providing dignity and respect to one another reflects WHY we Hu exist, our sole purpose--to love.

AI coding becomes fun once you stop expecting perfection instantly.

This is such an important distinction because a lot of people still confuse emotional intelligence with being “nice” or avoiding tension. Real EQ is being able to navigate people, pressure, emotions, and difficult conversations without losing clarity, respect, or self-awareness.

People forget that iteration is where most of the quality actually comes from.

William Waites I am really currious to hear from the Academic Integrity officers that will work on this wave of assessments and dissertations because the agentic revoluction, claude cowork/code, and OpenAI codex have diffused very recently and they offer a new level of options that are starting to percolate down to students. It is probably a minority of students using them effectively, but I found a few in my narrow sample of dissertations, if you extrapolate from that it should be around 20-30%. And they generate a new level of complexity in academic integrity forensic, as I explained in other replies, they can be used to avoid mechanical fake references, but concept stretching and erronous content hallucination requires manual checking that might slip through, and might actually be harder for the student to spot even if they read the source because they are trusting the AI so much thet they might end up missunderstanding the source.

Stefano M. Sinicropi, MD Actually this adjustment, consistent evaluation destines you to focus and focusing is leads to outcomes. Every where it helps even in family, lifestyle .

Frederick S. Ahiabor, PhD I completely agree. The solutions exist, but adopting them requires changes of procedures and behaviour that are institutionalised and are actually at the basis of important business models that generate lots of revenues (the UK masters for foreign students for example).

The wrong people benefit. Why do the richtest people on this planet need more money and power? It is absurd and like a plot for a (bad) movie...

I am blown away watching this craftsmanship!

AI can write code fast, but humans still shape the direction and quality.

That vending machine line nails it. weve been running claude code agents on creative testing for a few months and the discipline shows up the same way, vague brief gets vague output, scope the seams (one component, inspect diffs, replay) and the thing actually compounds. which step trips new builders most for you, planning or the test loop?

Great post. AI is powerful, but process and thinking still win.

This is a much-needed reality check on the current AI economics. The Microsoft Claude Code example is particularly telling, high token burn with no clear productivity multiplier that justifies the cost. Treating AI as a blanket headcount replacement instead of targeted leverage is where most companies are getting the math wrong. Sobering post.