es cierto, estoy intentando abstraer un sistema contable y lo mejor para los LLMs es no tener uno y volcar todo el contexto en archivos markdown y json
every job will turn into explaining your intentions to ai
explaining what you want to ai is surpringly time consuming, coders already spend 80% of their time doing it, and this will be true for everyone
Totalmente cierto y es genial que tengamos esa distinción, el ‘te amo’ es superior e implica un mayor compromiso. Cuando lo dices es porque esperas que la relación dure mucho tiempo. Antes de eso solo se utiliza el ‘te quiero’.
Como dice otro comentario generalmente se lo usa en una edad más madura de tu vida (post-adolescencia quizás), antes de eso es común solo decir ‘te quiero’.
En el inglés me he dado cuenta que puedes decirle ‘I love you’ a amigos muy cercanos o de forma coloquial/informal a cualquier otra persona, eso en español sonaría bastante raro porque, al margen del contexto, la frase siempre implica una profunda conexión sentimental.
Harvard Business Review research reveals that excessive interaction with AI is causing a specific type of mental exhaustion ( or "AI brain fry"), which is particularly hitting high performers who use AI to push past their normal limits.
A survey of 1,500 workers reveals that AI is intensifying workloads rather than reducing them, leading to a new form of mental fog.
While AI is generally supposed to lighten the load, it often forces users into constant task-switching and intense oversight that actually clutters the mind.
This mental static happens because you aren't just doing your job anymore; you are managing multiple digital agents and double-checking their work, which creates a massive cognitive burden.
The study found that 14% of full-time workers already feel this fog, with the highest impact seen in technical fields like software development, IT, and finance.
High oversight is the biggest culprit, as supervising multiple AI outputs leads to a 12% increase in mental fatigue and a 33% jump in decision fatigue.
This isn't just a personal health issue; it directly impacts companies because exhausted employees are 10% more likely to quit.
For massive firms worth many B, this decision paralysis can lead to millions of dollars in lost value due to poor choices or total inaction.
Essentially, we are working harder to manage our tools than we are to solve the actual problems they were meant to fix.
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hbr .org/2026/03/when-using-ai-leads-to-brain-fry
@plutoxcsm yeah I think this also happens with the crows when she’s in Kyoto after the gunshot. She killed some of the Katana man people before using the convicted ones. It’s pretty subtle, cool story telling by Fujimoto