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For FAANG engineers this will likely mean moving to Vancouver, Zurich or Singapore with their job, salary, rsus and taxes.

This story plays out so often that here should be a law about it: Supply lags demand, prices soar, everybody hears about it, everybody pours in, supply surges, demand normalizes, s…

This one’s a bit worse than meta’s usual sins: enabling political ads to manipulate the user is one thing. But enabling naughty people to generate naughty pictures of innocent byst…

> The British introduced electricity, railways, capitalism and a thousand other things we take for granted behind those saffron-tinted glasses. Some people love being a slave, but …

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> CV Raman won the Nobel prize in science, Tagore won the Nobel prize in literature, Ramanujan etc, the names are numerous. So golden age of India was when the country with a seven…

Useful idea, but needs a lot more work IMO e.g. - Looks like there's just 7 abstracts right now. - Most of the abstracts are written by the author of the paper, so might not be as …

AI rescued Nvidia when nobody was buying their shovels for digging crypto gold. If it wasn’t for ChatGPT, Nvidia story would have been very different right now. He is probably just…

> DPO is pretty much strictly better than RLHF + PPO Out of genuine curiosity, do you have any pointers/evidence to support this. I know that some of the industry leading research …

Another problem with the title: the article is about DPO, which doesn’t do reinforcement learning. So not RLHF. I guess RLHF has more of a name recognition than DPO.

Because a salesman’s skills complements those of a researcher. Salesman sells what the researcher built and brings in money to keep the lights on. Researcher gets to do what they l…

The fine-grained results look like: - 1444x faster for single character prefixes - 252x faster for two character prefixes - 55x faster for three character prefixes - ~20x faster fo…

I have been training a natural intelligence model for 3 years now and she still doesn’t get nuance. Things are either good or bad in her book: nothing in between. My plan is to let…

In this day and age a motivated 18+ year old adult has more than enough tools to actively pursue education outside a college setting while having a day job that pays. And this lear…

Brought to you by the same creative minds that conceived CUDA (which means trash in Hindi).

> another victim of the rapid pace of improvement in smartphones It's not just the pace of improvement, but also the marketing spin. I find the strengths of smartphone camera and I…

The problem with over-hiring is not that there's a lot of people doing nothing. The problem is that there's a lot of people who need to do something to write in their annual review…

Thanks for laying out the plan. I was trying to understand the cost of each of these steps below and started wondering about the following: > rough steps: > 1. collect a very large…

LLMs for the most part learn P(someone on internet said A | internet specific context B) given ginormous amounts data. There’s no other type of A, B with that much training data at…

+1 if your input and output are both sequences, FSTs can be your best friend…Unless you prefer the company of the flaky cool kids from deep learning (CTC, RNN-T, …)

+1 Awesome introduction to computational geometry. Couldn’t help but mention this fun fact: Voronoi diagrams were used to fight the 1854 Cholera outbreak in London https://plus.mat…

+1 for including the sample size in the title. Good way of distinguishing from click-bait.

Microsoft spent almost the same on nuance: https://news.ycombinator.com/item?id=26778780