This opening statement told me the bias that the plan had from the beginning. My experience is that you can make slop and you can make art. Just like a paintbrush. I've done beautiful things, and have gotten increasingly better at using the AI paintbrush.
The author(s) are likely scared. And I'm seeing the divide increase with articles like this. Those who don't understand it and won't use it, or learn more, will ultimately have a story (our human condition).
I think AI is going to make a beautiful future, much better than our current one.
I bet this same thing happened with the advent of electricity.
AI is like Electric 2.0.
I'd rather read something a little bit more realistic.
If you won't even so much as acknowledge the possibility of error, your argument is hollow and empty. All the "choices" presume these labs are being completely honest and acting in some degree of good faith (relative to the systemic incentives of society in its present form), while in reality we're still just building and refining probability models with increasing accuracy of output and flexibility of processing (namely agents) but still lack actual "intelligence" of any real sort.
Show me a paper that doesn't merely presume inevitability of LLM-based AGI/ASI, and instead actually lays out the core paths that history suggests we're likely to encounter with any "world changing technology":
* In the best case, that the technology really will revolutionize the world and do everything promised by its biggest boosters (papers like this one)
* In the middle case, that it becomes just another tool in our collective toolkit, and the consequences of a revolution built on external investment fizzling out
* In the worst case, that the tool itself is so niche in its utility that investment collapses rather than fizzles out; what do we do with all this compute, now? Who owns the debt? Who foots the bill? How can we mitigate those existential risks?
I'm just rather nauseated by the continued trot of inevitablism masquerading as academia rather than an actual, neutral, bias-controlled-and-disclosed study that paints potentialities instead.
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Having finished skimming through it, another comment springs to mind: Jesus Christ these things continue to be jingoist as absolute fuck. It's a fancier set of makeup for the same shitty western chauvinism worldview of American excellence and Manifest Supremacy.
Nah, I'm done with this trite garbage. Go proselytize to idiots, I'm not one of them.
> It’s increasingly clear that nobody has a plan for if this AI thing turns out to be real.
> ...
> Plan A isn’t another prediction. It’s a wish list, a positive vision, a road map for navigating the future.
> ...
> If we’re merely on track for a few cool gee-whiz AI innovations in the 2040s, then I’m wrong about everything and none of this really matters one way or the other.
I think their position is: "it would be great if current tech such as LLMs doesn't get us to AGI and only leads to some cool new innovations, but if it does, that's scary, because nobody has a plan for what to do, so here's our plan".
The jingoism is off putting. I think Daniel says it's a political necessity: https://x.com/DKokotajlo/status/2075261194978640096
It feels like we are so utterly bored out of our minds and comfort that we make up problems or scenarios, completely detached from reality, or outright irrelevant to day to day reality, just to get through the day and give meaning to our lives.
It is an incredible achievement, don't get me wrong, but what is AI truly going to do when we are already at such a stage of devolution?
It reminds me of the scene in Wall-E when people destroyed the planet and started flying through space to find a new planet, while the captain is an AI and the people became obese in mobility scooters and glued to their screens. I think this is unironically the most realistic scenario for mankind lmao
I'd bet that in most places 9 years is about the time needed to build a residential building. I think a good way to think about this is to think of this as producing a serial car. From pitching and capital acquisition to building a prototype to software, regulatory and then the final product which needs multiple factories and supply chains. Yes, of course robots sound cooler and there are compounding effects yada yada, but on the other side there are as many obstacles as things that accelerate this product (like capital acquisition and fearmongering of gov to bend regulatory stuff faster).
On his blog he says: "I did a lot of writing for AI 2027 and was listed as a co-author. Some of my writing made it into Plan A too, but it was a bit less. The difference is of degree rather than kind, but because of this - and to give me more latitude to discuss it the way I like with less PR blowback - we decided not to put me as a co-author this time. I continue to be proud of having a part in this, small as it may be. (related: everything in this post is my opinion only, and not officially endorsed by the AI Futures Project)"