Lower on the page, there are links to his "Mobile is eating the world" presentation, 2015-ish.
How does this work? Is AI eating Mobile now? Is there a new world to be eaten every decade or so?
Ah, wait. It's just meaningless hyperbole.
The only thing AI is eating is power.
Used to really love his stuff, but this is all pretty well-trod ground and he doesn't have much new to say.
"[hot new thing] eats the world" (Ëš0Ëš)!!
> What's our AI strategy?
In most cases, probably giving OpenAI a bunch of money.
For whatever reason, the full stack hasn't been commoditized yet to a degree where you could self-host easily. For example, I can put the paid or free version of GitLab on my servers and get repo management, issue tracking, CI/CD, Wiki and a bunch of other stuff. It covers most use cases and works out of the box, even if not always in the ways I want.
As for AI... there's OpenAPI and GitHub Copilot, even JetBrains has their AI solutions. You pay for access to the back end component and there's IDE plugins that integrate with that, even custom IDE's or editors like Cursor. But what if you want an editor/plugin that talks to models running on your own servers? Sure, you can get models off of HuggingFace and hook them up to run locally on a machine that has the hardware to take advantage of them... but then what? What about integrating with merge requests in the aforementioned GitLab instance? Obviously it's all possible, but somehow I haven't seen many solutions that offer you something similar to GitLab but for AI.
Even GitLab's own solution talks to their servers: https://about.gitlab.com/solutions/code-suggestions/
> Code Suggestions is available to self-managed GitLab instances via a secure connection to GitLab.com.
I'm guessing CodeGPT is probably a piece of that puzzle, or maybe the Tabnine enterprise setup.
That slide deck is more questions than answers.
Here's a useful question: Suppose the LLM hallucination problem is not solved in the next 10 years. What happens to the AI boom?
Therefore, after being digested the world will have turned to ____?
But I do think our current path on these huge networks are far from leading us to the long-desired AGI, this is just doubling the compute as well as cost as time goes on.
If only AI were used for good and not for evil. Think of the jobs replaced with AI. Please think of the students cheating by letting AI write their papers. Please think of the high school student who creates porn using Deepfake AI of the girls in his class instant kiddie porn.
We need AI to solve climate change, but the energy costs will contribute to climate change. We need a cure for cancer, and an end to COVID and other dangerous viruses, a way for a personal AI that does tasks and earns the user money for basic income or something.
It might be useful to check how linear regression, the first form of "AI" has eaten the world. Lets call its modern incarnation LLR (Large Linear Regression) for kicks.
In LLR you fit a massive chunk of data, you do an interpolation and you use the result with care, or, you fit the data, you do an extrapolation and you live dangerously. So its all good fun, but how to you eat the universe with it?
You might try to become the Matlab or SAS or Excel that brings Large Linear Regression to the world. Godspeed, a giant Python has already swallowed C++ and they will be coming be after you.
You may try to eat all the world's data so that nobody but you can do Large Linear Regressions. Good luck with that pharaonic quest as well.
Or you might try to print silicon that does LLR quickly, hoping that nobody else can master that dark art. But silicon is as plentiful as sand and keeping dark secrets dark is not easy when you want to eat the world.
Thats about it. No melodrama, no medieval moats, no megazillion dollars. LLR will be everywhere and yet nobody will care.
The bandwagon will move to the next big tech thing. Quantum Coin maybe?
Assuming the deteriorating reality of our actual condition does not catch up with this clown circus. Because the end condition of the world being serially eaten by the tech bros is... the world being dead.
'you are an expert in slide summarzing...'
The question is how fast.
I remember in the late 90s, me and some friends discovered the internet and went "Woah! Letters, books, shops, work, study, gaming ... pretty much everything will take place in this virtual realm soon!".
We were right. Except for the "soon".
When the first internet café opened, we started spending a lot of our time there, meeting lots of interesting people. Everything outside the internet already seemed anachronistic to us.
What I didn't expect back then was that even replacing letters with email (which already worked!) would take another painstaking ... 20 years!
Today, my work is already massively transformed via neural networks. Pretty much everything I do starts with an interaction with a neural network. Usually a question to an LLM. And then LLMs or other networks are involved all the way up to finishing the task. Thinking about how I worked before these large neural networks came up makes me shiver. How cumbersome. How anachronistic.
But when I talk to people outside the tech sphere, most are not using LLMs or other neural networks at all.
Everything humans do will be deeply transformed. Even more so than via the internet. Will it take 20 years again? Or is technological progress accelerating and this time it will take only 10 years? So far, my feeling is that it will be a bit faster, but not twice as fast.
But maybe it will be even more surprising. One future I can imagine is that people don't even need to adapt. Maybe we will see software simply do all aspects of a job. One can already imagine it for driving cars or making movies. It is harder to imagine it for managing a company, for example. But who knows. LLMs are already surprisingly good at creating chains of thoughts. Maybe we'll find ourselves in an unexpected future in a few years already, where human involvement in anything is just a burden to the process.