All Quotes

"Nations die first in the big cities."

"A pint of whiskey can wash away all the blood of Calvary."

"The most dangerous savages live in cities."

"The Devil is not afraid to sit on an altar."

"A hole is nothing at all, but you can break your neck in it."

"Hope is the shadow of faith."

"It was a poor man that said God shows His contempt for wealth by the kind of persons He selects to receive it."

"If you keep your mouth shut you will never put your foot in it."

"Why is the word for tongue feminine in Greek, Latin, Gaelic, Italian, Spanish, French, and German?"

"One of the things that I think is really important today in the field of machine learning research, that we’ll need to overcome, is…right now, when we want to build a machine learning system for a particular task we tend to have a human machine learning expert involved in that. So, we have some data, we have some computation capability, and then we have a human machine learning expert sit down and decide: Okay, we want to solve this problem, this is the way we’re going to go about it roughly. And then we have the system that can learn from observations that are provided to it, how to accomplish that task. That’s sort of what generally works, and that’s driving a huge number of really interesting things in the world today. And you know this is why computer vision has made such great strides in the last five years. This is why speech recognition works much better. This is why machine translation now works much, much better than it did a year or two ago. So that’s hugely important. But the problem with that is you’re building these narrowly defined systems that can do one thing and do it extremely well, or do a handful of things. And what we really want is a system that can do a hundred thousand things, and then when the hundred thousand-and-first thing comes along that it’s never seen before, we want it to learn from its experience to be able to apply the experience it’s gotten in solving the first hundred thousand things to be able to quickly learn how to do thing hundred thousand-and-one"

"If you can’t understand what’s in information then it’s going to be very difficult to organize it."

"The portion of evolution in which animals developed eyes was a big development. Now computers have eyes."

"I think there’s a lot of promise there, because I do see a path for agents with the right training process to eventually be able to do many, many things in the virtual computer environment that humans can do today. You know, right now they can sort of do some things, but not most things. But the path for increasing the capability there is reasonably clear. You get more reinforcement learning going, you have more agent experience that it can learn from. You have early nascent products that can do some things, but not most things, but are still incredibly useful for people."

"My views have certainly changed. Our society is complex when it comes to sex. *There are a lot of un-spoken and hidden things that take place."

"The environment is extremely judgemental and the lure of the title “Mrs.” is stronger than ever."

"Due to pressure from family, friends, age, networks and faith institutions, women are entering marriages for the wrong reasons, making many compromises."

"Many women are beginning to appreciate the importance of a caring and loving relationship that encourages sexual fulfilment."

"Remember though, many women are told to be chaste and pure for their marriage; then once married, many cannot make the transition to sexual experimentation."

"I cannot make assumptions about women’s knowledge but the inability to discuss sex in an informative way as is done through the PSHE programme in schools in the UK."

"Young women and men really do not have a chance at sexual fulfilment."

"The issue of Electricity Supply, if the government can solve the epileptic power supply, most businesses will thrive."

"We need a robust economy."

"Inflation among other issues hindering the growth of SMEs."

"The government should equally create a conducive atmosphere for businesses to thrive."

"At Adloyalty Business Network, we are Nigeria’s foremost brokerage firm."

"What we do in Adloyalty Business Network is that we help smart investors to own homes in Nigeria and to secure profitable properties."

"For Adloyalty Business Network we have enjoyed incredible success since we started business in 2017."

"All of our investors have gotten their properties allocated to them."

"Those who bought land & houses have been allocated to them."

"So while I was a research scientist at Facebook AI Research, I was working on something called reinforcement learning mostly for like robotics, but that’s one of the sort of like essential piece for ChatGPT, like a relationship. And so Aravind and I were, happened to work on the very similar problems."

"And one day it was like middle of 2020 when COVID was just going on. We published independently, exactly the same paper, exactly the same research result. And since that point, we start talking and like collaborating together. I spent some time at Berkeley, working with him and his advisor. And after, after that, we were like maintaining our relationships."

"So he went on to open AI, um, and I was like, in early 2022 was about to like graduate and trying to see for like other opportunities. And we’ve been talking and it was becoming like, obviously clear that GPT is getting stronger and stronger. And there is going to be like an opportunity to create a company."

"And so we, around June 2022 decided to, he left OpenAI, I left Meta, so we decided to ,do something."

"It must be very interesting being at the center of a really big moment in the technology space and I think we can jump right into that. I think I want to first talk about what makes Perplexity different from any of the other platforms we see today. And what I really appreciate about using Perplexity, I'm a perplexity user myself, is that you can see the thoughtfulness put into making sure that any answer that is provided is truthful.There are citations, it's not biased."

"So maybe as someone who's overseeing the technology aspect of things and perplexity, what goes into making sure every answer I get when I type in a query on perplexity is as truthful and as relevant as possible."

"So we already and I, we come from academic background, so I think sort of citing when we write papers like citing stuff is very natural things for us. And when we started, we very quickly realized in this LLM world, this is going to be very essential component because, and especially in the time we're living right now, there's a lot of misinformation and very hard to trust what you read. So that's why this is probably one of the most fundamental aspects of our product and something we focus a lot on. In terms of technologies, it's definitely a very hard problem to solve."

"I think it requires a lot of coordination across multiple teams, multiple technologies and such. But more than anything, I think it has to be a mindset of the entire company. It's just basically if there's only few things we can focus on, this is going to be the very first thing that we're going to be focused on."

"I was completely amazed. Witnessing the impressive results, it felt like I was experiencing pure magic."

"This eye-opening experience led me to realize the impact computer vision would have on the field of computer graphics. It soon became clear that these AI techniques would transform industries far beyond design."

"UW is an exceptional place to do AI research. Particularly now that AI progress requires a lot of engineering and computational power."

"Training robots in the real-world is difficult and time consuming. An emerging alternative is to train robots in photorealistic video-game simulators to make training much faster."

"Training on the generated houses led to remarkably robust agents across several distributional shifts. We’ve still yet to hit a ceiling on how much further such a simple recipe can go."

"The field of AI is beginning to change the world. It is incredibly rewarding being able to work on the cutting-edge of research and pushing the frontier of what’s possible in science and technology."

"When computer scientists are paid like professional athletes, we have reached the climax of the ‘Revenge of the Nerds!’” told the New York Post."

"Relative to challenges, female founders are less likely to overlap with existing investor networks, which often don’t share their worldview."

"I have benefitted from male founder friends doing warm investor intros. However, this isn’t the norm. Investor networks need to be more open and diverse."

"And relative to opportunities, the reality is that African female founders are building important tech companies. In addition, they have deep domain knowledge which is an important lever for success in our markets. The startups they’re working on present huge investment opportunities."

"“There’s going to be many people in your life who do not believe in you, but the most important thing is that you believe in you.”"

"Your dreams are still there, locked in with that 7-year-old that you have not visited in an awfully long time.”"

"“Rewrite your script and put the actors in that you want in there.”"