strin

So meta

My two cents on paid search engines: yes so much awareness around privacy these days. so there might be a potential shift in user behavior, which opens up a big market. however, i am skeptical because people are used to free search engine that surfaces good results.

so privacy is great value prop. but not so much that i am willing to pay for it while living with worse search quality.

Interesting fact. Also all convos lead to bitcoin at some point these days...

lol they didn’t open source the model weights

is the "retrofit" strategy living in the past? living in 2021 it seems a bad choice to buy gasoline cars. Most new cars coming out will have some kind of driving assist (L2 autopilot).

I wonder how clubhouse would monetize its traffic. most social networks had to make the advertisement presented in similar ways to the content, e.g. twitter, instagram, tiktok. but I can't imagine clicking on and listen to a "conversation" that advertises a product...

That works only for static page though. Many modern pages would require you to run a selenium or puppetteer to scrape the content.

Follow a normal SaaS growth curve this will IPO in 25 years!

I wonder if the world would converge to an open standard for social networks: https://news.stanford.edu/news/2014/march/privacy-economy-ap...

This is so accurate as I started my blog in 2018 and the only post I have so far is about the setup https://www.timshi.ai/blog/hello-blog-with-react

Well “starting at 799” nothing wrong with that

> Regardless, leaders and technology evangelists in this field still preach that by 2025, the overall percentage of the pie for voice will end up being about 15%.

What data points is this prediction based on?

> “GPT-3″ is just a bigger GPT-2. In other words, it’s a straightforward generalization of the “just make the transformers bigger” approach

Yes it’s true. But there is a difference between what’s interesting and what works. deep learning (RNNs, transformers, etc.) is usually old ideas applied at large scale with slight modifications. Proving a model works well at large scale (175B parameters) is a great contribution and measures our progress towards AI.

The fact that Bitcoin is marketed as the “new gold” is a double-edged sword. Because of the hype, it’s too volatile to become gold.

> The following year, the lab hired Ritchie, a Harvard grad whose father was a Bell Labs alum, and Ken Thompson, a self-described army brat who, by his own admission, spent at least a month actively dodging the Bell Labs recruiter on the Cal-Berkeley campus

> In our experiments with Transformers, we observed that not all the attention heads utilize their attention span to the fullest. In fact, in a task of character-level language modeling, most of the heads were using only a small portion of their attention span. If we can take advantage of this property during training, we can reduce the computation time and memory footprint significantly