Tag: ‘difficult’
These Were the 10 Most Difficult Wordle Words of 2022 – CNET
Meet the tech making online censorship “a very difficult thing to achieve”
: Elon Musk to Twitter staff: There will be ‘difficult times’ ahead, so get back to the office
Who Is Working to End the Threat of AI-Generated Deepfakes, and Why Is It So Difficult?
Like many of the world’s best and worst ideas, MIT researchers’ plan to combat AI-generated deepfakes was hatched when one of their number watched their favorite not-news news show.
Harry Redknapp speaks out about son Jamie’s ‘difficult’ divorce from wife Louise
Sunak warns of ‘difficult decisions’ ahead and promises to ‘fix’ Truss’s mistakes in first speech as PM
Ford says the upcoming Mustang will be “much more difficult” to tune, thanks to beefed up cybersecurity
The Ford Mustang is known to be one of the most tuner-friendly cars around. However, the upcoming S650 seventh-gen model could change that reputation, and not in a good way. Speaking to Ford Authority, Mustang’s Chief Engineer Ed Krenz noted that the latest model utilized the company’s new Fully Networked…
Why Mastering Language Is So Difficult For AI
Starting with GPT-3, Marcus begins, “I think it’s an interesting experiment. But I think that people are led to believe that this system actually understands human language, which it certainly does not. What it really is, is an autocomplete system that predicts next words and sentences. Just like with your phone, where you type in something and it continues. It doesn’t really understand the world around it.
“And a lot of people are confused by that. They’re confused by that because what these systems are ultimately doing is mimicry. They’re mimicking vast databases of text. And I think the average person doesn’t understand the difference between mimicking 100 words, 1,000 words, a billion words, a trillion words — when you start approaching a trillion words, almost anything you can think of is already talked about there. And so when you’re mimicking something, you can do that to a high degree, but it’s still kind of like being a parrot, or a plagiarist, or something like that. A parrot’s not a bad metaphor, because we don’t think parrots actually understand what they’re talking about. And GPT-3 certainly does not understand what it’s talking about.” Marcus also has cautionary words about Google’s LaMDA (“It’s not sentient, it has no idea of the things that it is talking about.”), driverless cars (“Merely memorizing a lot of traffic situations that you’ve seen doesn’t convey what you really need to understand about the world in order to drive well”), OpenAI’s DALL-E (“A lot of AI right now leverages the not-necessarily-intended contributions by human beings, who have maybe signed off on a ‘terms of service’ agreement, but don’t recognize where this is all leading to”), and what’s motivating the use of AI at corporations (“They want to solve advertisements. That’s not the same as understanding natural language for the purpose of improving medicine. So there’s an incentive issue.”). Still, Marcus says he’s heartened by some recent AI developments: “People are finally daring to step out of the deep-learning orthodoxy, and finally willing to consider “hybrid” models that put deep learning together with more classical approaches to AI. The more the different sides start to throw down their rhetorical arms and start working together, the better.”
Read more of this story at Slashdot.