95% of generative AI implementations in enterprise 'have no measurable impact on P&L', says MIT

No surprise here…

PKM systems promise coherence, but they often deliver a kind of abstracted confusion. The more I wrote into my vault, the less I felt. A quote would spark an insight, I’d clip it, tag it, link it - and move on. But the insight was never lived. It was stored. Like food vacuum-sealed and never eaten, while any nutritional value slips away.

This hits close to home. I also went through that phase of hoarding information ‘just in case I might need it someday.’ The digital equivalent of keeping every receipt in a shoebox.

Now I’ve learned to be much more intentional about what I capture. I ask myself: ‘Will this genuinely help me make a decision or take action?’ If the answer isn’t a clear yes, I let it go. Only the real gems make it into my system—the insights that actually move the needle.

I have never seen any form of create generative model output (be that image, text, audio, or video) which I would rather see than the original prompt. The resulting output has less substance than the prompt and lacks any human vision in its creation. The whole point of making creative work is to share one’s own experience - if there’s no experience to share, why bother? If it’s not worth writing, it’s not worth reading.

Show me your prompt!

Via Jodi Ettenberg

Treat LLMs like you would treat your coworkers: give more than you receive.

My gold standard for LLM usage remains this: would I be proud to stake my own credibility on the quality of the end result?

What we believe in:

Attention doesn’t scale, no matter how hard we try.

Do you know exactly what your job entails?

If you’re serious about the project, it’s time to give yourself a promotion, and to hire yourself to do work that’s yours and yours alone to contribute. It’s almost certain that there’s someone cheaper, faster and yes, better at the other work than you are.

Make your own end of year lists. Choose your own important memories. Pick the songs you loved and share it with the world. You don’t need an algorithm.

Yes, yes, yes!

Life any other tool, you should first learn what it can and can’t do.

While AI struggles to do any one thing better than an experienced human, it can elevate anyone to a better beginner status in many skills they’re unfamiliar with. Whatever you’re an expert in, chances are, AI will look weak in comparison. But take off your expert hat, and voilà, you might find it helpful here and there.

Una consejo muy atrevido en la guía de Microsoft Outlook:

No es necesario (y en el caso de grandes volúmenes, probablemente no pueda) leer todos los mensajes que le envían.

I forget about this one all the time.

There’s not much point in packing light unless everyone is packing light.