The main shape is a Boteh.
The main shape is a Boteh.
AFib patients using wearable devices are more likely to engage in high rates of symptom monitoring and experience anxiety than non-users
Well no shit—how can non-users engage in high rates of symptom monitoring if they don’t have symptom monitors?
As Mary Anne Franks, a George Washington University law professor and a leading advocate for strict anti-deepfake rules, told WIRED in an email, “The obvious flaw in the ‘We already have laws to deal with this’ argument is that if this were true, we wouldn’t be witnessing an explosion of this abuse with no corresponding increase in the filing of criminal charges.”
We’re certainly witnessing an explosion of media coverage of abusive deepfakes, as with coverage of everything else AI-related. But if there’s no increase in criminal cases, what’s the evidence that the “explosion” is more than that?
The first time I encounter an unfamiliar subject, I start by trying to identify the different current leading theories and their main points of contention. Then my impulse to evaluate the competing claims for myself motivates my further research, and keeps me critically engaged with the evidence. It’s like I’m building different conceptual models in parallel, and seeing how each new piece fits differently in each one.
I find that can often be better than lectures where the professor is advocating for their own specific theory, or introductory courses where textbooks stick to consensus opinions and avoid open questions. In those cases you’re just passively assembling the model you’re provided—but I find it’s ultimately more enlightening if you try to break things while you’re building them.
I’m all for removing the influence of money from politics. But as long as money remains the main medium of influence, people not donating to political causes as a matter of principle is effectively removing the influence of people from politics.
The one part of your post that makes any kind of sense is your concern for your own mental health. I would set aside whatever theories you’ve constructed and consider getting professional help.
I get annoyed at people who wait at pedestrian crossings but never push the button.
Are they waiting for someone else to push it because it’s beneath them? Do they think it has cooties? Do they secretly not want to reach their destination? Do they think the buttons are fake, and traffic engineers are waiting to laugh at them on hidden cameras?
Is misconjugating verbs a symptom of dehydration?
Or scale up the canvas periodically instead of adding blank space, so each old pixel becomes four new pixels.
Have the cooldown time vary incrementally across the canvas—so there’s a “hot” end where people can make things quickly (and get overwritten quickly), and a “cool” end where designs take longer to draw but are more permanent.
I’ve been helping to fill in background areas with the green labyrinth pattern toward the middle of the canvas.
For those not wanting to read the article, note that they revealed (to employees) a progress framework, not any actual progress.
The framework is just a five-tiered classification of potential future AIs: Chatbots (1); Reasoners (2); Agents (3); Innovators (4); and Organizations (5). They characterize their current progress as near level 2, but there’s no indication of recent progress that would be newsworthy of its own accord.
Rather than creating a custom terminal app, could you create a user that only had permission to run the restricted commands, with a profile script that gets run at login and offers a menu of common tasks?
“We will now remove content that targets ‘Zionists’ with dehumanizing comparisons, calls for harm, or denials of existence on the basis that ‘Zionist’ in those instances often appears to be a proxy for Jewish or Israeli people,” Meta said in a blog post.
So dehumanization and calls for harm are fine, as long as the target isn’t a proxy for Jews or Israelis?
The fallacy is imagining that “lawfulness” is an attribute that can be reliably detected on an implementation level.
I guess having a lot of unhappy customers implies that a lot of people previously purchased the product.
All ai projects should be forced to show the entirety of their training data.
Agreed—but note that in this case the information was only discovered because the organizations involved (Common Crawl and LAION) do show their data. We should assume that proprietary data sets have similar issues—but this case should be seen as an opportunity to improve one of the rare open data sets, not to penalize its openness and further entrench proprietary sources.
Michaels, 79, told Vanity Fair in an interview published Wednesday that he was initially “very skeptical” of the proposal from NBCUniversal executives — until he heard the AI-generated version of his speaking voice, which is capable of greeting viewers by name.
Was this a phone interview, by any chance?
I propose detecting atmospheric anomalies induced by their infinite improbability drives.
You could set it to use your own DNS server, and have the server block anything not on a whitelist.