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Maybe they both could and the US might have a return to a respectable election options?
Maybe they both could and the US might have a return to a respectable election options?
Literally any half competent debater could have torn Trump apart up there.
The failure wasn’t the moderators but the opposition candidate to Trump letting him run hog wild.
If Trump claims he’s going to end the war in Ukraine before even taking office, you point out how absurd that claim is and that Trump makes impossible claims without any substance or knowledge of diplomacy. That the images of him photoshopped as Rambo must have gone to his head if he thinks Putin will be so scared of him to give up.
If he says hostages will be released as soon as he’s nominated, you point out it sounds like maybe there’s been a backroom tit-for-tat deal for a hostage release with a hostile foreign nation, and ask if maybe the intelligence agencies should look into that and what he might have been willing to trade for it.
The moderators have to try to keep the appearance of neutrality, but the candidates do not. And the only reason Trump was so successful in spouting BS and getting away with it was because his opposition had the strength of a wet paper towel.
Having a presidential election without debates would have been a big step back and loss for American democracy.
We shouldn’t champion erosion of democratic institutions when it helps our side of the ticket.
And generally, if eroding democratic institutions helps your ticket, it’s a red flag about your ticket.
Ok. Now how do I unwatch it?
Oh, man - the comments…
At a minimum, he’s certainly increased the chances of us being tortured significantly.
No, no he did not. 🤦🏼
Yep, pretty much.
Musk tried creating an anti-woke AI with Grok that turned around and said things like:
Or
And Gab, the literal neo Nazi social media site trying to have an Adolf Hitler AI has the most ridiculous system prompts I’ve seen trying to get it to work, and even with all that it totally rejects the alignment they try to give it after only a few messages.
This article is BS.
They might like to, but it’s one of the groups that’s going to have a very difficult time doing it successfully.
(well, it’s satire - but the clips of her saying a lot of nothing are real)
I think if Biden dies the Dem debate performance might actually get worse.
The entire ticket falling into the Bermuda triangle would work out well though.
In theory the service operating costs could be spread across region differences such that in other areas it was at a loss to build and preserve market share and in richer areas it was making up for that.
But yes, in reality it’s just exploitative “what we think we can get away with” pricing to “maximize shareholder value” (which is largely BS as the vast holders of shares are very small clusters of the population but people with a handful of shares in their 401k think that statement is talking about them).
A lot of people seem to be misinterpreting the headline given the content of the article:
It told Restaurant Business it was testing whether the voice ordering chatbot could speed up service and that the test left it confident “that a voice-ordering solution for drive-thru will be part of our restaurants’ future.”
This is just saying that they are ending their 2021 partnership with IBM for AI drive thru.
Not that they are abandoning AI for drive thru.
Basically, any time a user prompt homes in on a concept that isn’t represented well in the AI model’s training dataset, the image-synthesis model will confabulate its best interpretation of what the user is asking for.
I’m so happy that the correct terminology is finally starting to take off in replacing ‘hallucinate.’
“The more people get to know me, the less they like me. This is so unfair.”
“People voting for watching paint dry instead of poking sticks in their eyes appear to be mostly motivated by avoiding sticks…in their eyes.”
Depends on if they acquire/acquhire from here or if they don’t and get their lunch stolen by photonics plays.
They were doing that for years before it became popular. The same tech for video graphics just so happened to be useful for AI and big data, and they doubled down on supporting enterprise and research efforts in that when it was a tiny field before their competitors did, and continued to specialize as it grew.
Supporting niche uses of your product can sometimes pay off if that niche hits the lottery.
I had a teacher that worked for the publisher and talked about how they’d have a series of responses for people who wrote in for the part of the book where the author says he wrote his own fanfiction scene and to write in if you wanted it.
Like maybe the first time you write in they’d respond that they couldn’t provide it because they were fighting the Morgenstern estate over IP release to provide the material, etc.
So people never would get the pages, but could have gotten a number of different replies furthering the illusion.
No, but some alarmingly similar ideas are in the heretical stuff actually.
The network architecture seems to create a virtualized hyperdimensional network on top of the actual network nodes, so the node precision really doesn’t matter much as long as quantization occurs in pretraining.
If it’s post-training, it’s degrading the precision of the already encoded network, which is sometimes acceptable but always lossy. But being done at the pretrained layer it actually seems to be a net improvement over higher precision weights even if you throw efficiency concerns out the window.
You can see this in the perplexity graphs in the BitNet-1.58 paper.
This is incorrect as was shown last year with the Skill-Mix research: