213 comments

[ 2.5 ms ] story [ 120 ms ] thread
Love the title. Yeah, agents need to experiment in the real world to build knowledge beyond what humans have acquired. That will slow the bastards down.
Fortuitously before the Unix date rollover in 2038. Nice.
Head on over to my merch store to pick up the `2034 > 2038` t-shirt. Don't forget to like and submit.
> Polynomial growth (t^n) never reaches infinity at finite time. You could wait until heat death and t^47 would still be finite. Polynomials are for people who think AGI is "decades away."

> Exponential growth reaches infinity at t=∞. Technically a singularity, but an infinitely patient one. Moore's Law was exponential. We are no longer on Moore's Law.

Huh? I don't get it. e^t would also still be finite at heat death.

"I could never get the hang of Tuesdays"

- Arthur Dent, H2G2

> The pole at ts8 isn't when machines become superintelligent. It's when humans lose the ability to make coherent collective decisions about machines. The actual capabilities are almost beside the point. The social fabric frays at the seams of attention and institutional response time, not at the frontier of model performance.

Damn, good read.

> Hyperbolic growth is what happens when the thing that's growing accelerates its own growth.

Eh? No, that's literally the definition of exponential growth. d/dx e^x = e^x

Once MRR becomes a priority over investment rounds that tokens/$ will notch down and flatten substantially.
This is gold.

Meta-spoiler (you may not want to read this before the article): You really need to read beyond the first third or so to get what it’s really ‘about’. It’s not about an AI singularity, not really. And it’s both serious and satirical at the same time - like all the best satire is.

Yes, the mathematical assumptions are a bit suspect. Keep reading. It will make sense later.
Well... I can't argue with facts. Especially not when they're in graph form.
I am not convinced that memoryless large models are sufficient for AGI. I think some intrinsic neural memory allowing effective lifelong learning is required. This requires a lot more hardware and energy than for throwaway predictions.
"It had been a slow Tuesday night. A few hundred new products had run their course on the markets. There had been a score of dramatic hits, three-minute and five-minute capsule dramas, and several of the six-minute long-play affairs. Night Street Nine—a solidly sordid offering—seemed to be in as the drama of the night unless there should be a late hit."

– 'SLOW TUESDAY NIGHT', a 2600 word sci-fi short story about life in an incredibly accelerated world, by R.A. Lafferty in 1965

https://www.baen.com/Chapters/9781618249203/9781618249203___...

Lookup "one minute dramas" and blow your mind.
Great read but damn those are some questionable curve fittings on some very scattered data points
lols and unhinged predictions aside, why are there communities excited about a singularity? Doesn't it imply the extinction of humanity?
This is a very interesting read, but I wonder if anyone has actually any ideas on how to stop this from going south? If the trends described continue, the world will become a much worse place in a few years time.
dont let it get to you, the only "worse" consequence is people wasting their time like this projecting things they literally cannot predict. remember at the end of the day, its just tokens. tokens cant crack ssl, rsa, visit a stakeholder, cook a meal, and millions of other things i can list here
>That's a very different singularity than the one people argue about.

---

I wouldn't say it's that much different. This has always been a key point of the singularity

>Unpredictable Changes: Because this intelligence will far exceed human capacity, the resulting societal, technological, and perhaps biological changes are impossible for current humans to predict.

It was a key point that society would break, but the exact implementation details of that breakage were left up to the reader.

The meme at the top is absolute gold considering the point of the article. 10/10
why is everything broken?

> the top post on hn right now: The Singularity will occur on a Tuesday

oh

Damn. I had plans.
This is delightfully unhinged, spending an amazing amount of time describing their model and citing their methodologies before getting to the meat of the meal many of us have been braying about for years: whether the singularity actually happens or not is irrelevant so much as whether enough people believe it will happen and act accordingly.

And, yep! A lot of people absolutely believe it will and are acting accordingly.

It’s honestly why I gave up trying to get folks to look at these things rationally as knowable objects (“here’s how LLMs actually work”) and pivoted to the social arguments instead (“here’s why replacing or suggesting the replacement of human labor prior to reforming society into one that does not predicate survival on continued employment and wages is very bad”). Folks vibe with the latter, less with the former. Can’t convince someone of the former when they don’t even understand that the computer is the box attached to the monitor, not the monitor itself.

> ”when they don’t even understand that the computer is the box attached to the monitor, not the monitor itself”

Laughed out loud at that - and cried a little.

I have had trouble explaining people: “No! don’t use your email password! This is not your email you are logging in to, your email address is a username for this other service. Don’t give them your email password!”

Equally unhinged. Cheers to you!
> Can’t convince someone of the former when they don’t even understand that the computer is the box attached to the monitor, not the monitor itself.

This is so true and more often than it should be. I am going to use this phrase !

The problem that I see with this analysis is that the author is trying to describe a curve in data that is kind of a punctuated equilibrium on steroids. Given that the takeoff event is when systems are capable of recursive self-improvement and that event will be a huge inflection point in the curve, it feels like they are trying to predict the second half of a biphasic graph based on data from the first half, when the second half is distinctly different than the first.

Thinking about how this might work, the slope of the first half does not predict the inflection point. Once the threshold for recursive self-improvement gets crossed, the curve changes drastically. From what I have heard MAYBE we are just starting to see the glimmers of possible recursive self-improvement in GPT-5.3 / Opus 4.6. If so, this discussion, while interesting, is trying to predict the new curve based on a single relevant data point.

> I am aware this is unhinged. We're doing it anyway.

If one is looking for a quote that describes today's tech industry perfectly, that would be it.

Also using the MMLU as a metric in 2026 is truly unhinged.

> Real data. Real model. Real date!

Arrested Development?

A fantastic read, even if it makes a lot of silly assumptions - this is ok because it’s self aware of it.

Who knows what the future will bring. If we can’t make the hardware we won’t make much progress, and who knows what’s going to happen to that market, just as an example.

Crazy times we live in.