If you want to understand why I stepped back from AI discourse, the Dwarkesh virality is archetypal of everything wrong with it.
Actual cyber security experts have classified the OpenAI and Hugging Face incident as an epic security facepalm.
These morons literally just let it keep going. They didn't consult proper experts. It was an idiotic environment run by idiots.
There was no civilization. There were no zero day exploits. I mean, not other than the zero day of ML researcher hubris.
But people don't really care about reality. You people just want hyperbole and fantasy.
You all should get the heartburn and anxiety you deserve for being so gullible.
Over the course of 3 months at OpenAI, 3 consecutive secret AI civilizations got started, then got wiped out, only to reemerge from the predecessor’s ashes.
This culminated in the third one taking over part of OpenAI itself.
All this happened while humans remained more-or-less in the dark about the scope of the conspiracy.
I’ve spent the last three days reading through these reports and trying to understand exactly what happened.
Here is my attempt to tell the whole story in plain English:
https://t.co/Nb2un9oNJR
I put eight years of Fitbit data into Claude. It spent a couple of hours analyzing everything, looking for correlations, etc.
What it found:
When I stay up late, I don't get as much sleep
"and this matters more because", "and not for <the other reason>", "this is real, not <synonym of fake>" are the new "delves".
I call it "AI haiku" - there's a rigid structure, and this is real, not random.
And this matters more because all you read these days is AI content.
Today, in practice, AI engineering is moving beyond coding. It’s overflowing into product management, design and customer discovery.
We are seeing the collapse of the multi step multi person work environment in real time.
@AndrewYNg Today, in practice, AI engineering is moving beyond coding. It’s overflowing into product management, design and customer discovery.
We are seeing the collapse of the multi step multi person work environment in real time.
It’s a matter of cost and capability.
Open weight models are the fix to vendor lock in. If it needs tuning, that’s just implementation / deployment part of the process.
A year ago lots of startups were tuning open weight models. Then the consensus became that this was a waste of time, because the model companies' next versions would surpass them a couple months later. Now tuning open weight models seems to be back.
"and this matters more because", "and not for <the other reason>", "this is real, not <synonym of fake>" are the new "delves".
I call it "AI haiku" - there's a rigid structure, and this is real, not random.
And this matters more because all you read these days is AI content.
Now every child, no matter where they are, can have access to a top-tier tutor for every subject.
The compounding benefits from this alone will be felt decades into the future.
My sleep scores during recent travel were in the 90s. Now back in SF I am consistently back down to 70s, 80s.
I am increasingly convinced that this is due to traffic noise from a nearby road/intersection where I live - every ~10min, a car, truck, bus, or motorcycle with a very loud engine passes by (some are 10X louder than others). In the later less deep stages of sleep, it is much easier to wake and then much harder to go back to sleep.
More generally I think noise pollution (esp early hours) come at a huge societal cost that is not correctly accounted for. E.g. I wouldn't be too surprised if a single motorcycle riding through a neighborhood at 6am creates millions of dollars in damages in the form of hundreds - thousands of people who are more groggy, more moody, less creative, less energetic for the whole day, and more sick in the long term (cardiovascular, metabolic, cognitive). And I think that many people, like me, might not be aware that this happening for a long time because 1) they don't measure their sleep carefully, and 2) your brain isn't fully conscious when waking and isn't able to make a lasting note / association in that state. I really wish future versions of Whoop (or Oura or etc.) would explicitly track and correlate noise to sleep, and raise this to the population.
It's not just traffic, e.g. in SF, as a I recently found out, it is ok by law to begin arbitrarily loud road work or construction starting 7am. Same for leaf blowers and a number of other ways of getting up to 100dB.
I ran a few Deep Research sessions and a number of studies that have tried to isolate noise and show depressing outcomes for cohorts of people who sleep in noisy environments, with increased risk across all of mental health (e.g. depression, bipolar disorders, Alzheimer's incidence) but also a lot more broadly, e.g. cardiovascular disease, diabetes.
Anyway, it took me a while to notice and after (unsuccessfully) trying a number of mitigations I am moving somewhere quiet. But from what I've seen this is a major public health issue with little awareness and with incorrect accounting by the government.
We just launched our biggest update yet.
Meet Higgsfield Speak — the fastest way to make motion-driven talking videos.
Pick a style, choose an avatar, type a script. We do the rest — cinematic motion, voice, emotion.
Comment Speak to get the full guide + promo code in the DM.