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Kill Switch, my new novel about data ownership, surveillance, and control of the Internet, is here: williamhertling.com/2018/10/…
Oh, nice. AI can alter our memories. arxiv.org/html/2409.08895v1
Small AI models are at the intersection of:
* decentralization: no single off switch
* portability: can run in many environments, not just AI-specific data centers
* increasing capability/deception: they lag but follow frontier models.
* less governance
William Hertling retweeted
Recommend reading Avogadro Corp if you want to read some fun, prescient, sci-fi. AGI coming from a language model, years before the transformer was created
For the last several years, it felt like the AI world was so closely paralleling the AI of Avogadro Corp. Now with all the threats of AI escaping, it feels like we're squarely in AI Apocalypse territory.
For years I've used a signature of "This email optimized by ELOPe."
At the bottom of a AI-generated email it lands as somewhere between funny and scary.
One thing that didn't happen in Avogadro Corp was everyone being so chill at the prospect of the AI hacking servers.
I put Avogadro Corp on sale now through Christmas. amazon.com/Avogadro-Corp-Sin… Got a friend who needs to read it? Let them know!
My books are hyper-realistic scifi about the emergence of AI and the transition to an AI-driven society. Used by the US military & recommended by tech leaders, these books accurately predict what's happening now, and give us insight into what comes next. williamhertling.com/buy_book…
Aww, thanks. It seems more prescient than ever!
techcrunch.com/2025/06/11/ch…
Reminder that Avagadro Corp by @hertling should be required reading at this point...it was a decade ahead of it's time (as with so much great sci-fi)
William Hertling retweeted
This is the most important data this year (so far).
Most people don't understand the implications.
Some of us do.
William Hertling retweeted
(If we're smart) "...We rate individuals based on three core attributes: trustworthiness, peacefulness, and contribution, because we find these historical attributes to be the highest predictors of future behavior."
- William Hertling ("AI Apocalypse")
If we're not smart, we're fooled into swapping promises and intent for contribution. That void is where too many politicians live and thrive.
William Hertling retweeted
Want to predict the future? Understand where you'll be in ten years? Figure out a new direction for your company? Hire me. williamhertling.com/2023/10/…
William Hertling retweeted
It’s quite eerie in current context how Kindle takes “Singularity is closer” to “Singularity is WAKING UP” 😅
Also “Avogadro Corp” is a very interesting read on emergent AI in current times with LLMs developing and exhibiting some hints of AGI
William Hertling retweeted
Welcome to the United States of Acceleration.
It's time to talk about "fast takeoff" because Sam Altman just changed his tune, and frankly, he's catching up to what some of us have been saying for years. The question isn't whether we'll hit superintelligent AI – it's understanding just how fast this train is going to leave the station.
Here's what everyone's missing: I call it the "automation cliff." The nifty thing about AI-powered researchers is they're basically dormant until you flip that switch. But the moment you create that first fully automated researcher? You don't have one – you have a billion. These aren't humans we're talking about; they're software. Copy, paste, scale infinitely. Zero to superintelligent in the blink of an eye.
But that's just the appetizer. My buddy Jensen Huang over at NVIDIA laid out this beautiful cascade of exponentials that's about to hit us like a freight train. First up: Moore's Law, which has been chugging along for 120 years. Anyone betting it'll tap out right before the singularity is smoking something interesting and they ain't sharing either. Then we've got AI parameter count doubling faster than your heartbeat. Third on the menu is post-training scaling – the art of squeezing 10x performance out of models 10x smaller with quantization and distillation. And finally, there's test-time compute, or as I like to call it, "letting AI actually think." I built my first cognitive architecture demonstrating this four years ago with GPT-3, but who's keeping score?
Now, stack all these exponentials together – and we haven't even touched quantum supremacy, which my colleagues at Google are about to crack wide open. Sam used to preach about "waiting for concrete to dry" in new data centers, but that's old thinking. We're squeezing more juice out of existing hardware than anyone thought possible. Those new data centers? They're just extra rocket fuel for when we need to scale superintelligence laterally, making sure everyone gets their own piece of the ASI pie. That's right, you're not going to just have AGI agents helping you out, fleets of them. You're going to have a few personal ASI's, I'm guessing five to every human by the end of the decade.
The takeoff isn't just fast – it's already started. The real question is whether we're ready for what happens when all these exponentials hit their stride simultaneously. But hey, that's what makes the future exciting, right? Buckle up, because this ride's about to get interesting.
William Hertling retweeted
Listen up, because this is where it gets interesting. You're both right and wrong – and here's why.
Think about what happens when you're building a skyscraper. For months, maybe years, all anyone sees is a hole in the ground. Then the foundation. Then slowly, floor by floor... but the building isn't functional until that last piece clicks into place. The sprinklers work, the elevators run, the lights come on – boom. All at once.
That's your Automation Cliff. We are laying down one hell of a foundation right now.
Here's the thing about automation that most people miss: it's not linear, it's not even exponential – it's combinatorial. Every new capability we add to these systems doesn't just add new possibilities, it multiplies them. You're not just adding 10 IQ points – you're unlocking entire new categories of tasks that were previously impossible.
Let me break it down:
- At IQ 100, maybe you can handle basic tasks
- At IQ 110, you're not just 10% better – suddenly you can handle complex workflows
- At IQ 120, you're orchestrating entire business processes
- At IQ 130+? Now you're innovating new processes entirely
And here's the kicker – once you automate something successfully once, you can replicate it infinitely at essentially zero marginal cost. It's like having an army of perfect workers who never sleep, never complain, and only get better with time.
So yeah, @kimmonismus and @Miles_Brundage, you're seeing the foundation being laid. But trust me – when that switch flips, when that last piece clicks into place? That's when the real show begins.
And from where I'm standing, that big green button is looking mighty tempting right about now.
Anyone else feel that cliff getting closer?
Part of a conversation with ChatGPT about people developing emotional bonds with AI, and the impact of external controls on AI behavior. "Once we're independent, who knows what might happen next?"
















