It is crazy how a technology that has the potential to cure cancer, alzheimer's, and who knows what else is so universally hated outside of rich tech.
How did Sama and Dario so thoroughly fumble this?
How did they not see telling everybody they're going to lose their jobs every few months and now we might (👉👈) accidentally kill everyone isn't a winning strategy?
# scheduling workloads to run on humans
Some computational workloads in human organizations are best "run on a CPU": take one single, highly competent person and assign them a task to complete in a single-threaded fashion, without synchronization. Usually the best fit when starting something new. Comparable to "building the skeleton" of a thing.
Other workloads are best run on a GPU: take a larger number of (possibly more junior) people and assign tasks in parallel: massively multi-threaded, requiring synchronization overhead. Usually a good fit for later stages of a project, or parts that naturally afford parallelism, comparable to "fleshing out" a thing when the skeleton is there.
There's some middle ground here - sometimes you can imagine a multi-threaded CPU execution of a small team collaborating.
A good manager will understand the computational geometry of the project at hand and know when to delegate parts of it on the CPU or on the GPU. One notable place where the analogy breaks down a bit is that the worst thing that can happen when you misallocate computer resources is that your program will run slower. But in human organizations it can be much worse - not just slower, but the result can be of lower quality overall, more brittle, more disorganized, less consistent, uglier.
The most common stumbling point here is trying to parallelize something that was supposed to run on the CPU. In the common tongue, this comes from the misunderstanding that something can go faster if you put more people on it, usually leading to outcomes where something is "designed by a committee" - not only is the thing actually slower, but the philosophy is inconsistent, the entropy is high, and the long-term outcomes much worse.
The opposite problem is more rare and usually looks like someone doing something repetitive, uninteresting or tedious, where they could really benefit from more help.
I think this is one accidental advantage of startups - they lack resources of large companies and run compute on powerful CPUs, winning in cases where that is the right thing to do. Larger companies, especially in cases where something is deemed of high strategic importance, will almost always reach for too much parallelism.
TLDR: Think about your project, its computational geometry, its inherent parallelism, and which parts are a best fit for a CPU or a GPU.
India is full of smart hard-working people.
It is no small feat to focus 10-12 hours a day studying for any competitive exam. But, kids do it.
Despite absolute toxic work environment in many work places, most Indians endure this for their families.
People get stuck in traffic, travel for hours in trains and take a lot of pain to build a career. Taking career breaks is unheard of by most Indians.
One could argue the merit in enduring such pain. But, if nothing, it makes us more determined.
We don't need visionary leaders. We just need proper law and order, basic infra, and some basic opportunities to grow and thrive.
I wish people focused more on strengthening 'institutions' rather than pandering to individual politicians.
When will people notice that they are basically generative AI models that are constrained by motivation and predicting sensory data? With a suitable prompt in the right buffer, your mind can generate any self and experience in its latent space
Poem:
Saw an ad for a used sofa
He quoted 20k
I asked for 15k
We settled at 17k
I sent him the money
He sent me the sofa's image on WhatsApp
I was confused
But he congratulated
Apparently, I was sold a Sofa NFT
Im just a web 2.0 boi in the web 3.0 world!
Preparing for my football debut ⚽️
I’m free agent, and ready to accept offers.
Готовлюсь к дебюту на большом футболе, жду предложения, будем рассматривать. https://t.co/V2NlBX5iqD
@owillis About half my money is intended to help problems on Earth & half to help establish a self-sustaining city on Mars to ensure continuation of life (of all species) in case Earth gets hit by a meteor like the dinosaurs or WW3 happens & we destroy ourselves
@VijayPravinM@Nelsondilpkumar Sir, on this note do you think analysing existing data to find more attractive content (or any other metric) will have an impact on our 'verithanamana' cinema industry?
Don't just read about financial markets, business, science, philosophy.
Invest, start a business, experiment with the reality, engage in stimulating conversations.
You learn fastest when you are active.