We don’t really know. Maybe they stopped completely and honoured the deal. Maybe they didn’t even slow down and just hid what they were doing.
We know that they allowed international inspectors in while the deal was active though, so at the very least they had to work harder to hide things if they were continuing to work.
That would be nice. But, one common theme with religious people is that they always believe that they are going to heaven, but everyone else isn’t.
Interesting, I didn’t realize that. I thought all of the groups Iran supported were Shia.
It would be funny if they weren’t actually trying to bring about the biblical end-times. Also, they don’t care at all about the future because they don’t believe that the future will exist, since we’re in endtimes.
What’s going on:
Israel and Iran:
Trump, Racists, and Evangelicals:
Israel’s latest attacks:
Hormuz
What’s Next:
I really can’t imagine any situation where I might feel sympathy for someone who lost money on a memecoin.
In my experience, LLMs suck at making smart, small changes. To know how to do that they need to “understand” the entire codebase, and that’s expensive.
Amazon saves the wages of a senior dev by doing that, but then they get outages costing them the wages of that senior dev for decades. I doubt the goal is to blame senior devs. If they wanted them gone they could easily fire them.
What is AI good at? Creating thousands of lines of code that look plausibly correct in seconds.
What are humans bad at? Reviewing changes containing thousands of lines of plausibly correct code.
This is a great way to force senior devs to take the blame for things. But, if they actually want to avoid outages rather than just assign blame to them, they’ll need to submit small, efficient changes that the submitter understands and can explain clearly. Wouldn’t it be simpler just to say “No AI”?
My hate of the copyright-ownership side of Hollywood / Nashville / Atlanta, etc. has been burning white hot since the days that the RIAA was suing people using P2P networks. But, I had to admit that at least they could probably make a valid claim for copyright infringement. But this?!
It’s interesting how it’s the “Performing Right Society” (which I’ve never heard of). The “performing” part of that suggests that maybe they have an issue with people sharing clips containing music, or live streaming games where they share music. But, again, why Valve? Sure, people can share clips with friends. And, occasionally you see developers streaming their games. But, nobody is really “performing” live streams on Steam. I suspect they just think Valve is rich and so they can strong-arm them and Valve will settle to make them go away. I hope they bit off more than they can chew. Valve is indeed rich, and they have a tendency to be stubborn. I think they might well fight, and fight hard.
I wish a possible outcome was that the PRS ceased to exist. But, I suspect they’re like a flea or something, and even if you knock them off from this attempt to suck someone’s blood, you can’t kill them, and they’ll just find another victim.
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At the time, sure. But, I think fewer people look back on it fondly and think it should be recommended to people to go find it and watch it today.
The military uses UTC? Not for regular timekeeping I’m guessing.
Yeah, but it’s not widely used by anyone other than computer geeks. Not surprised that there’s a big crossover between computer geeks and spreadsheet pilots.
As someone who hangs out online with people who don’t do DST, it’s really annoying to have to re-learn each-other’s schedules twice a year. Although that’s nowhere near as bad as when I lived in a country with DST and worked with people in the southern hemisphere who also did DST. It would mean that at some times of the year, 9am for us was 5pm for them, so a short meeting was fine. But, other times 9am was 7pm. And then there were the weeks where 9am was 6pm because one side had gone DST and the other side hadn’t yet ended it.
Even worse, the logs system at the company timestamped everything in silicon valley wall-clock time, so there were 3 different time zones at play, which all changed at different times.
Really, I think eventually we’ll all be on some kind of global time system. So, if I say the meeting is at stardate 1230.2 nobody has to convert to their own local clock.
Permanent DST would be so stupid.
What is “noon” or “solar noon” under DST? Solar noon is supposed to be the time when the sun is at its peak. AM and PM come from ante meridiem and post meridiem, which are basically “before the sun’s peak” and “after the sun’s peak”. But, under DST the peak is at approx 1pm. So, will saying “I’ll meet you at noon” still mean 12pm? Probably, but then “solar noon” will be 1pm but “noon” will be 12am?
If the whole reason behind considering permanent DST that they think the 9-5 schedule of office life is impossible to change? This just reminds me of bad software projects where office politics and middle manager interference meant that rather than fixing the root cause, it was easier just to add tech debt.
Looks good to me now. Also good choice with Lovecraft Country. I hadn’t seen that mentioned elsewhere. It’s a bit of a hidden gem.
LLMs are an obvious dead end when it comes to actual “intelligence” or understanding how the world works.
But, this sounds like a “draw the rest of the owl” situation.
“JEPA learns abstract representations of how the world works, ignoring unpredictable surface detail.”
Oh, it’s that simple is it? Just have it “learn abstract representations of how the world works”. Amazing how nobody thought to do that before!
I think I understand the distinction they’re trying to draw. Current models are trained on billions of pictures of cats and billions of pictures of dogs. You feed it an image of Fido and it finds a point in 2500 dimensional space and knows whether that point is in the “cat space” or “dog space”. It can be very good, but it doesn’t have any “understanding” of what makes something a cat vs. a dog. Humans, OTOH, aren’t trained on billions of images. But, they learn about things like “teeth” and “whiskers” and “snouts” and “eyes”. Within their knowledge of eyes, they spot that vertical slit pupils are unusual and different, and part of what makes something “catlike”. AFAIK, nobody has ever managed to create a system that learns abstract features without intensive human training.
I like that they’re trying something new. But, are they counting on a massive breakthrough on a problem that has existed since people first started theorizing about AI? Or, is it just a matter of refining a known process?