IMO we are there almost. I had every iphone until 14 pro and still use this today. I know what the top of the s curve feels like. From a pure model standpoint weighed against every day use cases for every day people (the right way to measure when comparing to something as ubiquitous as a phone), the models already have diminishing returns.
The biggest hurdle is whether humans volunteer their expertise. Not time or money. We need top talent to make the open models. Sponsorship is plentiful. Open source volunteers are less critical with LLM doing the grunt work. Its about talent contributing to the open
There is a massive difference when you zoom in close or take an angled perspective. You can manufacture uniqueness. The issue is when it comes to every day use for every day people there is no differentiation.
Many years ago I wrote a simple script to periodically pull my aeroplan miles from Air Canada using an extracted auth token. I was building my own mobile app to track all kinds of important numbers in my life. One day I woke up to my air canada account being nuked without access. I was on the phone for 3 days talking to many layers of support. At one point they were not going to re-enable my account and would lose 400k points. I was devastated. Thankfully i was able to get it back eventually. This whole era of using LLMs to manipulate services on the client is not going to end well. We need proper business-level support or its just an irresponsible hack you are letting loose into the wild.
What the auto industry should have really woken up to is the idea of a singular carplay for both android and ios. I have a 2021 BMW that only supported carplay and was fine for many years. It is wireless even. I love it. But now i have a pixel.
To me AI is on par with the internet and what made it so powerful was piracy and porn and just the wide spectrum of things that are possible when you connect machines together. We are going to need the same thing again. Freedom to use any model that does any thing we want.
What if there is no good abstraction for the entire stack of software on each of computers? What if we built a common one because we had to? What if now we get to all make our own with natural language?
It feels like this whole site was manufactured to convince us that generative AI is a rocketship right now? While we might be basing a rocketship right now, to draw that line up at this point is total bullshit. the pc is real. the internet is real. the smartphone is real. its hard for me to even wrap my head around how you compare generative AI to these things. At this point I don't think we are far enough time to allow hindsight to let us see what the "thing" is that we should be tracking. Its not "generative ai"
I mean, just saying the new guy is trying not to be evil does not give any credence to some meaningful differentiation over the long term. Won't they just eventually be evil too? Seems odd to continue to trust the early thinking of long term companies. Haven't we been burned enough?
Unless you have hard proof this is occurring then I would rather believe my own and others positive testimony on self help. Its powerful and relatively affordable if you are committed to making changes in your own life. Is good advice. Authentic stories (generally). I am just grateful that people take the time and effort to reflect and encode their experience into something digestible by others. It’s pretty cynical to have your view.
He denies comparing them to telecom companies and even says at various points in his writing. Instead he compares their usage to the usage of mobile data.
I agree with you, but sadly without killer use cases in the browser this still ends up being quite political to adopt. I feel good about the approach being taken. The browser vendors have analytics on the usage of JCO and so despite it not being "ideal", it works. We need to make stuff using JCO and make those things popular. It's not on the browser vendors to build native component model yet. At some point I suspect it will be though.
Homogeneity doesnt need to be the endgame just a pitstop along the way. We should have a universal tool for creating unique things. If everything is unique the cognitive load is high we get lazy and output all converges on shallow stuff that is the same. If the tools are homogenous we learn something once and spend energy on making the diffetences
This is true. Outcomes correlate with the quality and depth of the conversation. The quality and depth correlates with the users understanding of computers