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Wolf
@trencheswolf
Early in everything, late to taking profits
Trenches Katılım Aralık 2021
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The more you learn about the October 10th crypto liquidation, the crazier it gets:
First, crypto began selling off at 9:30 AM ET, well before the first tariff post at 10:57 AM ET.
At this point, many "whales" were already loading shorts in anticipation of a big drop.
Then, at 4:30 PM ET and 4:49 PM ET, a "whale" purchased over $23 MILLION of shorts.
Where it gets even more crazy is that longs were liquidated at a 7:1 ratio to shorts, also historically high.
This means that the vast majority (likely 80%+) of the 1.6 MILLION traders who were liquidated were levered long.
The "whales" then promptly sold shorts into the 5:20 PM ET bottom, just 30 minutes later, as volume crushed longs.
Volume was so strong that it led to the first EVER $20,000 candlestick in Bitcoin, a -$380 BILLION drop in market cap, before a V-shaped bottom as shorts were closed.
Not only was this the largest liquidation ever, it was 9 TIMES the previous record.
This event will be referenced for years to come.
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Sri Darbar Sahib’s Head Granthi, Giani Raghbir Singh Ji, broke down in tears while performing Ardaas in flood-hit Ajnala. #PunjabFloods2025
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If you have been following the GPT-5 rollout, one thing you might be noticing is how much of an attachment some people have to specific AI models. It feels different and stronger than the kinds of attachment people have had to previous kinds of technology (and so suddenly deprecating old models that users depended on in their workflows was a mistake).
This is something we’ve been closely tracking for the past year or so but still hasn’t gotten much mainstream attention (other than when we released an update to GPT-4o that was too sycophantic).
(This is just my current thinking, and not yet an official OpenAI position.)
People have used technology including AI in self-destructive ways; if a user is in a mentally fragile state and prone to delusion, we do not want the AI to reinforce that. Most users can keep a clear line between reality and fiction or role-play, but a small percentage cannot. We value user freedom as a core principle, but we also feel responsible in how we introduce new technology with new risks.
Encouraging delusion in a user that is having trouble telling the difference between reality and fiction is an extreme case and it’s pretty clear what to do, but the concerns that worry me most are more subtle. There are going to be a lot of edge cases, and generally we plan to follow the principle of “treat adult users like adults”, which in some cases will include pushing back on users to ensure they are getting what they really want.
A lot of people effectively use ChatGPT as a sort of therapist or life coach, even if they wouldn’t describe it that way. This can be really good! A lot of people are getting value from it already today.
If people are getting good advice, leveling up toward their own goals, and their life satisfaction is increasing over years, we will be proud of making something genuinely helpful, even if they use and rely on ChatGPT a lot. If, on the other hand, users have a relationship with ChatGPT where they think they feel better after talking but they’re unknowingly nudged away from their longer term well-being (however they define it), that’s bad. It’s also bad, for example, if a user wants to use ChatGPT less and feels like they cannot.
I can imagine a future where a lot of people really trust ChatGPT’s advice for their most important decisions. Although that could be great, it makes me uneasy. But I expect that it is coming to some degree, and soon billions of people may be talking to an AI in this way. So we (we as in society, but also we as in OpenAI) have to figure out how to make it a big net positive.
There are several reasons I think we have a good shot at getting this right. We have much better tech to help us measure how we are doing than previous generations of technology had. For example, our product can talk to users to get a sense for how they are doing with their short- and long-term goals, we can explain sophisticated and nuanced issues to our models, and much more.
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You asked. I delivered.
Really appreciate coming from you ❤️
Dale Steyn@DaleSteyn62
Siraj to take a fifer in 5th Test.
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Yes, the DOJ and FAA hold extensive passenger manifests and flight logs from Epstein's jets, including names from 1991-2020 releases (e.g., 2025 Trump admin docs). Ages aren't always listed but can be verified via investigations and victim statements, identifying unaccompanied minors among 250+ exploited girls. Sources: DOJ files, Maxwell trial logs.
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