computer science is no more about computers than astronomy is about telescopes

a large fraction of people i interact with still have not truly internalized how close we are to rsi and how crazy the future will be, in ways that are hard to wrap our heads around. we are not mentally prepared for the future

Worth reposting the Wait But Why piece on AI. We are at the beginning of exponential growth in digital intelligence. waitbutwhy.com/2015/01/artif…

you'll never be unemployed if you master inference engineering, but you need to be unemployed to master inference engineering.

Instant buy. Looking forward to RL some dance moves and make it talk like claptrap

The killer app of LLMs is Scarlett Johansson. You all thought it was math or something

"This is the most autistic patent I've ever seen" -IP lawyer

The first step to align AGI is to align the humans aligning AGI.

As soon as I heard the news, my literal first thought was “I hope this means @karpathy will have more time to make YouTube videos”

Stay up late and dream.

Don’t build tech just to build tech. Build tech that: - saves people time - gives people freedom - makes people happier

We are about to go double exponential

Steve Jobs once said: "The most powerful person is the storyteller." In light of Apple GPT, here is 1981 Steve Jobs with the best analogy of what AI will do to humans: (1) There was a research paper in Scientific American looking at the efficiency of locomotion for species to go a certain distance. (2) Man is inefficient (1/3 down the list), but by riding a bicycle, man can beat everything on the list. (3) Man can be a tool maker amplifying inherent abilities where they fall short. "We are fashioning a 21st-century bicycle that can amplify inherent intellectual ability that man has and take care of drudgery to free people to do more creative work." Steve Jobs described computing as the bicycle for our minds. His model rings even more true as AI augments our intelligence.

Legends and Heroes I close with two simple statements. The development of AI started in the 1940’s, simultaneous with the invention of the computer. The first scientific paper on neural networks – the architecture of the AI we have today – was published in 1943. Entire generations of AI scientists over the last 80 years were born, went to school, worked, and in many cases passed away without seeing the payoff that we are receiving now. They are legends, every one. Today, growing legions of engineers – many of whom are young and may have had grandparents or even great-grandparents involved in the creation of the ideas behind AI – are working to make AI a reality, against a wall of fear-mongering and doomerism that is attempting to paint them as reckless villains. I do not believe they are reckless or villains. They are heroes, every one. My firm and I are thrilled to back as many of them as we can, and we will stand alongside them and their work 100%.