Danger_Zone retweeted
✅ Allow McDonald’s App to access Contacts, make phone calls, send texts, and act on my behalf
Danger_Zone retweeted
Replying to @dan_bernstein_
I usually ignore your slop, but this pisses me off. You don’t give a single fuck about racism, your only purpose is trying in vain to get clicks on the Kalshi name.
You’re supposed to be a reporter in an industry with actual noteworthy innovation, start acting like it.
Danger_Zone retweeted
At the @Kalshi investor day in NYC, and their growth is objectively WILD:
- 5,300% growth in monthly institutional trading volumes
- Perp volumes growing exponentially
- Kalshi Prime with @BandmanJeff and new custody partner @BitGo @mikebelshe now unlocking onchain collateral
Hey @TeamYouTube @youtubemusic - your Charts artist total-views pages cannot be accessed by many users. Seems random who can access them and from where. Could you help flag this to the team that manages Charts?
Danger_Zone retweeted
Breaking:
NYSE told federal regulators it's putting up betting markets on the price of <new stocks ABC>. This creates new insider trading risks at all these companies.
Danger_Zone retweeted
Runs study analyzing skilled traders
Their first step is to remove market makers
Unbelievably based and Chad taker-pilled
We analyzed over 1 billion trades to find out why Kalshi markets are so accurate. A group of 15,000 superforecasters is largely responsible.
What stands out:
-There are 14,694 people on Kalshi who have significantly better predictive ability than other traders. This is measured by Brier skill score, which tracks trader calibration.
-They provide their forecasts to the whole platform, not just the top few markets. Skilled traders are active in 97.3% of markets.
-Timing and category change behavior: for example, superforecasters enter economic markets earlier, and sports markets later.
-These traders aren’t concentrated in the coasts or major cities. They come from all around the country, with Wyoming having the most per capita.
Prediction markets provide an incentive for smart people to do research, think rationally, and share their views with the world.
This incentive has brought almost 15,000 superforecasters to Kalshi, who create a public good by providing accurate forecasts to nearly every market on the platform.
Danger_Zone retweeted
In a world where information is increasingly more abundant and truth is increasingly more scarce, prediction markets are a great antidote to political misinformation, as the markets incentivize truth-seeking from profit-motivated traders.
Danger_Zone retweeted
Casino-style gambling products are not derivatives. Today, the @CFTC is providing clarity regarding the limits of our remit by codifying the exclusion of casino-style gambling products from the “swap” definition just as we have done with respect to other products historically regulated by the states.
.@CFTC Issues Interim Final Rule Excluding Certain Activity from the Definition of Swap: cftc.gov/PressRoom/PressRele…
Danger_Zone retweeted
Replying to @JoelKlettke
Theres no such thing as universal high income. If everybody has 10 million dollars.. none of them are rich.. it just means a loaf of bread will cost 500$. Of everyone has 10 million dollars.. who gets a coastal mansion and who lives in a 1 bd apartment with a brick wall view
Danger_Zone retweeted
Most people outside Silicon Valley would find the "post-scarcity" society unbearable.
People thrive when their find a sense of purpose in what they do.
Doing nothing at home indefinitely is a human nightmare.
Danger_Zone retweeted
Actually, events priced at 20% on Polymarket tend to happen around 20% of the time
Danger_Zone retweeted
JUST IN: CBS News partners with Kalshi for midterm coverage, joining CNN, Fox and CNBC in bringing prediction market data to the 2026 midterms.
The data behind the midterms
Danger_Zone retweeted
Pinker's recent media run arguing against the idea that catastrophic AI scenarios are worth seriously considering is probably the fastest any public thinker has ever fallen in my esteem.
It's not just that I think he's wrong; it's that he plainly has not bothered to even *read* opposing arguments or even background material on the field. He does not know the terms of debate.
This clip provides an example. "Superintelligence" is, famously, a term popularized by Nick Bostrom over the last couple of decades to refer to an AI system that dominates the best human capabilities in all relevant domains. All concepts are in a sense "made up," but this concept seems quite useful for conceptualizing possible futures and human-AI interactions as progress continues.
If one wants to argue against that concept being possible or useful, they can, but they should be aware of the sense in which most people (doomer, e/acc or otherwise) use the term.
Pinker isn't. He immediately jumps to the notion that "superintelligence" must mean total omniscience and omnipotence, to the point of knowing the location of every particle in the universe. He scoffs at this and rejects out of hand the notion of "superintelligence," going on to say that the labs are therefore peddling hype, and the doomers mystical nonsense.
The threshold he sets is obviously so far above relevance to human scale that it is essentially meaningless, and I can't help but think that anyone arguing charitably would, you know, notice that and look deeper into how the term is used. Pinker doesn't, because he seems to have some very strong pre-existing bias against AI extinction risk as a possibility, and accordingly refuses to even investigate alternative positions.
There are many other examples of this. In his recent open letter, he takes for granted that superintelligent systems will not have any kind of internal, intrinsic motivation, ignoring that increasing persistence and autonomy are key aims of those developing AI, because, just as predicted, they are incredibly useful traits for accomplishing tasks that are valuable to humans. It's hard to read transcripts from the HuggingFace incident (or even just the running commentary consumer AI provides while working), and not see that we are deliberately instilling motivations into these models.
Similarly, he rejects the notion that we need worry seriously about AI systems having autonomous control over important infrastructure or military technology, because for humans to hand over such power would be "stupid," and therefore will never be done. He accordingly feels he can handwave away the considerable thought and writing given to gradual disempowerment scenarios. If he did read them, he'd see the insight that, as model capabilities surpass humans in various domains, competitive pressures will inevitably force actors to hand over increasing control to AI systems whether they want to or not. The "man in the loop" may be a luxury you can't afford if a competing power achieves locally better results by eliminating it.
Today he bandies around the word "cult" to dismiss those concerned about catastrophic AI risks, while he refuses at every turn to engage with them. Comments are kept turned off. Debates are declined. He does not even commit to a sustained written exchange.
This is a man I once truly respected, whom I was honored to shake hands with a few years ago. My best guess is that he has wedded himself to his heuristic that human society steadily improves over time, and is responding defensively to avoid confronting the notion that this guideline may indeed break down in the near future. But nothing excuses his atrocious conduct on this enormously important issue, and his stunning failure to live up to the enlightened standards he has long trumpeted.
On AI and "superintelligence":
"The power will increase, but there's no point at which it's meaningful to say, 'Well, yesterday we didn't have superintelligence. Today we do have superintelligence.'
That's why I think it's meaningless to say, 'What will happen if one day we have superintelligence?' I don't even understand the question. It's: 'Will technology improve?' Almost certainly.
It will get better. It'll never be omniscient. It'll never be omnipotent. That's out of comic books out of religion. There are laws of physics. There are limits on information. There's no system that could learn the position and velocity of every particle in the universe. So as long as that is true, there's not going to be an AI system that can do anything or can know everything. But they will get—obviously, like any technology—they'll get more powerful."
Full interview: youtube.com/watch?v=eWC47aga…


































