CLaRa (Continuous Latent Reasoning) is an approach Retrieval-Augmented Generation (RAG) that shortens context, reduces double-encoding, and improves quality of responses by compressing documents into a small set of "continuous memory tokens" that preserve the key information in the documents, and optimizes and performs retrieval and generation out of that shared latent space.
Because, the programming languages best matched to a (natural human language-based) declarative programming paradigm (e.g., vibe coding) would be declarative programming languages, not imperative programming languages.
Yes. Logue's are (brilliant) retellings, not translations. His source material were other English translations, since he was not literate in ancient Greek (as the article's author notes).
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See an East African lion
Nose tip to tail tuft ten, eleven feet
Slouching towards you
Swaying its head from side to side
Doubling its pace, its gold-black mane
That stretches down its belly to its groin
Catching the sunlight as it hits
Twice its own length a beat, then leaps
Great forepaws high great claws disclosed
The scarlet insides of its mouth
Parting a roar as loud as sail-sized flames
And lands, slam-scattering the herd.
"People seem to think that having the internet at their fingertips means they no longer need to know anything themselves. But in order to understand things, you need a lot of knowledge readily available in your head. Only then can the mind make the connections between the different points of data and come to new insights. This cannot happen when that knowledge is external, in a book or on some Wikipedia page that you have to look up first."
"Vorrath, who has spent 36 years at Apple, is known for managing the development of tough software projects. She’s also put procedures in place that can catch and fix bugs."
"In the mid-2000s, she was chosen to lead project management for the original iPhone software group and get the iconic device ready for consumers. Until 2019, she oversaw project management for the iPhone, iPad and Mac operating systems, before taking on the Vision Pro software."
Is Apple having a project management/delivery execution problem? Maybe.
But, it seems like they are actually having a deeper product envisioning problem for how Apple should be leverage AI to enhance their "bicycles for the mind". They need to figure out what the right things to build are, before they optimized how to build and deliver it.
Up until a few days ago, I was also vacillating between learning OCaml or Haskell, before deciding on Haskell for reasons.
I surveyed many free and paid-for references to build my foundation, before picking John Whitington's "Haskell From the Very Beginning" (https://www.haskellfromtheverybeginning.com), because it "takes a no-prerequisites approach to teaching the basics of a modern general-purpose programming language".
I am also using Replit's "free-tier" as my Haskell learning environment. Replit let me jump right into the fun of Haskell, while postponing dealing with installation/configuration nuances until absolutely necessary. This is also letting me do learning any time I have a free moment from wherever I last left off on any computing device I have handy, including my tablets or smartphone.
So far, my learning experience has been a joy.
If you decide on OCaml, Whitington also wrote "OCaml From the Very Beginning" (http://ocaml-book.com), which available via free pdf or HTML thanks to the OCaml Software Foundation, and looks to be structured similar to his Haskell book.
Yeah, all we need is that haptic suit, and then book had all that stuff about his exercise regimen. Now software engineers really can live in our own world - maybe I should say even more.
