Why are all the seemingly smart people on HN so narrow-minded to the point of speaking idiotic nonsense? What do you think their 3.6B MAU are, all bots?
And the thing is, network effects are killer. I'm on it because you're on it because Alice is on it because Bob is on it
But, Facebook has apparently been known to censor links to competition (I'm less clear on this). With Myspace they had a tool where you could import contacts into Facebook from Myspace, but not the other way around
So my country has somewhere between 100-200 million MAU for facebook ane.
Facebook marketplace is huge here.It's basically our craigslist. Hobby groups/communities are also huge. If I wanted to find the local jogging or chess club, I'd use Facebook.
Just remember that outside your bubble there's a whole wide world with billions of people living in it
"Catastrophe requires multiple failures – single point failures are not enough."
I disagree with this point. From what I have seen and experienced, there are so many SPOFs in the real-world complex systems that do not have adequate defense or even any defense at all. The only reason catastrophe didn't occur (often) is only because the natural failure rate is extremely low. Like the probability of air traffic controller making a critical mistake is very low, maybe once every few years, but when it happens, the SPOF will almost certainly cause a disaster, and the system (ie. the way air traffic is controlled today) has been around for decades and is so outdated but the cost of changing the entire process around the world is simply way too high so we just take this as "normal".
I tried it and it performed poorly on my private benchmark problems. The overthinking problem is real, it takes 5-10x the reasoning tokens than comparable models. It is a sign of inadequate training of the base model and it is using more reasoning tokens to compensate for that. I also noticed that it is likely to get into somewhat repetitive reasoning and forgetting about some user requirements, suggesting that it could be the side effects of using 3:1 linear attention vs full attention.
Considering the amount of AI slop being generated today and LOCs that no one actually reviewed, I doubt we will run out of vulnerabilities to exploit...
What Dario said is half true. The untrue half is that the ship to stop China from overtaking the US in AI has sailed long ago. While China is busy getting their frontier models trained on smuggled chips using distilled data from millions of shell accounts, the US is busy debating whether to check voter IDs, or secure borders. It is just delusional to think the US is actually capable to stop China from getting the chips they want.
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