Salman Ansari
@salmanscribbles
embracing my inner polymath — writing, drawing, coding, playing
Salman Ansari
salman.io
sometimes the most important thing we can do is let ourselves stay blurry. to be unbranded, unpositioned, undone for a while. because real self-knowledge is a slow, unmarketable process. and the lost feeling might just be the first sign that you’ve finally stopped performing someone else’s idea of a good life.
milk and cookies • why feeling lost might mean you’re finally doing it right
Spiritual awakening is frequently described as a journey to the top of a mountain. We leave our attachments and our worldliness behind and slowly make our way to the top. At the peak we have transcended all pain. The only problem with this metaphor is that we leave all the others behind—our drunken brother, our schizophrenic sister, our tormented a
... See morePema Chodron • When Things Fall Apart: Heart Advice for Difficult Times (Shambhala Classics)
I want you to visit my website. I want you to read an article from a search result, and then discover the other things I’ve written, the other people I link to, and explore the weird themes I’ve got. I want some of you to read my article then ask me to speak at your conferences. Many folks rely on ad impressions to support the high-quality content ... See more
Sophie Koonin • This website is for humans - localghost
Simplicity isn’t just a visual style. It’s not just minimalism or the absence of clutter. It involves digging through the depth of the complexity. To be truly simple, you have to go really deep. For example, to have no screws on something, you can end up having a product that is so convoluted and so complex. The better way is to go deeper with the ... See more
Walter Isaacson • Steve Jobs
Much has been made of next-token prediction, the hamster wheel at the heart of everything. (Has a simpler mechanism ever attracted richer investments?) But, to predict the next token, a model needs a probable word, a likely sentence, a virtual reason — a beam running out into the darkness. This ghostly superstructure, which informs every next-token prediction, is the model, the thing that grows on the trellis of code; I contend it is a map of potential reasons.
In this view, the emergence of super-capable new models is less about reasoning and more about “reasons-ing”: modeling the different things humans can want, along with the different ways they can pursue them … in writing.
Reasons-ing, not reasoning.
The best post on the ethics of AI I’ve read. Robin is a master of words, and has a perspective on AI that is sorely needed.
We Did the Math on AI’s Energy Footprint. Here’s the Story You Haven’t Heard.
technologyreview.comtechnologyreview.comBut here’s the problem: These estimates don’t capture the near future of how we’ll use AI. In that future, we won’t simply ping AI models with a question or two throughout the day, or have them generate a photo. Instead, leading labs are racing us toward a world where AI “agents” perform tasks for us without our supervising their every move.