100% spot on. I have a draft post I'd been meaning to share about this:
I received 9 AI-Safety related mails in my inbox this week. The average length is 2699 words, or about 10 pages of a Word document. Most of these are full of links to much longer articles for anyone who is serious about the topic. One includes a “very strong recommendation” to listen to a 6-hour Dwarkesh podcast. And this is the short-content stuff, not the in-depth predictions like AI 2027 and Europe 2031. The content is outstanding, thoughtful, thorough and deeply researched, and I absolutely would not change it.
But in parallel to this we need to start creating sharp, CONCISE, messaging that will be read by the 99% of people who might only have a few minutes to learn about the topic and may not see why they should spend even that. These people vote too.
This requires a totally different skillset (that I do not have either). The vital soundbite. The one line, one data point that shocks people - delivered in isolation, not cluttered with caveats or even justification.
We can learn from advertisers whose job is to communicate a complex idea in 30 seconds in an engaging way. There is a science and an art to this, and those of us who enjoy long, complex arguments usually do not even realise this, let alone possess it ...
Or we can learn from our enemies. Donald Trump is a master of this - his statement that "Canada has been ripping us off for decades" is a great example. Even though we know he's a shameless liar, we're compelled to think about it - it engages us, it enables otherwise rational people to ask "but has Canada beeb screwing us all these years?" ...
In the field of AI Safety, the statement "If anyone builds it, everybody dies!" was a great example. It could have changed the game. It was the kind of idea that got people's attention.
But instead of doubling down and getting an active public debate on AI Safety on the front pages, we (the self-styled AI Safety community!!) killed all the momentum with our desire to be precise and calibrated and not to exaggerate. We watered it down. We said it wasn't as simple as that. We mentioned multiple scenarios, many of which turn out OK. We presented complex scenarios and analyses that served only to tell 99% of people that this was a very complex topic and probably not as worrying as it had seemed, and that they would never understand the arguments well enough.
We have to choose. Engaging content tends to shock. It exaggerates. It oversimplifies. But it gets people thinking. We need to realise that this is a separate but necessary step to having the AI Safety discussion that the world needs to have.
Meanwhile Donald Trump invents a lie that has 60 million people believing they understand international tariffs, which he doesn't even understand himself. We re right, but he is a far more effective communicator.
It sickens me to se this again and again - on the climate, on science, on AI, ... ; the good guys are right but the bad guys win the public debate because they are waaaaaaaay better at communicating to the general public.
When IABIED came out, we needed everyone to be joining in the chorus that this was massively scary, that yes, it was likely we'd all die, that stopping AI was the single most urgent thing that humanity needed to do. We needed to make it go viral. Because that's how you get the topic into the public eye. That's how you get voters and influencers and even politicians engaged. Once we get the engagement, once everything from pausing AI to shutting down AI labs globally is in the Overton window, then we can start hedging a bit, sharing more complex ideas. Because then people will realise that they need to engage.
But it's a 2-stage process. The first stage is to get Joe and Jane Public to get a visceral feeling that this is scary, that they need to do something about it. There are people out there who could do this, but almost all of them are being paid by the AI labs to reassure the public that there's nothing to worry about ...
I'm wondering to what extent the way to go is less, well-coordinated communication channels (e.g. AI in Context, Species) vs getting many lower context people to make content (e.g. after taking some intro course)
I don't think it's actually about polish versus volume since both models currently have the same problem, i.e. they don't seem built to end in a political ask.
AI in Context gets millions of views but is more focused on converting those into newsletter signups rather than political outcomes. And then there's PDKU, which went the other way with dozens of lower-context creators given minimal message discipline and told fellows not to post about AI at all if they didn't want to. But Celia Ford's reporting found the "AI will kill us" narrative reproduced itself anyway, right down to protest posters reading "EVEN THE CEOs WILL DIE": https://www.transformernews.ai/p/inside-ai-safety-influencer-bootcamp-plz-dont-kill-us
So volume didn't diversify the message the way it was meant to. It just found the same message through less curated channels. PDKU's own organisers measured success as "views per dollar," which is the same theory-of-change gap I write about, just in a different aesthetic.