If you first have to write comprehensive unit/integration tests, then have a model spray code at them until it passes, that isn’t useful. If you spend that much time writing perfect tests, you’ve already written probably twice the code of just the solution and reasonable tests.
Also you have an unmaintainable codebase that could be a hairball of different code snippets slapped together with dubious copyright.
Until they hit real AGI this is just fancy auto complete. With the hype they may dissuade a whole generation of software engineers picking a career today. If they don’t actually make it to AGI it will take a long time to recover and humans who actually know how to fix AI slop will make bank.
The approach of LLMs without some sort of symbolic reasoning layer aren’t actually able to hold a model of what their context is and their relationships. They predict the next token, but fall apart when you change the numbers in a problem or add some negation to the prompt.
Awesome for protein research, summarization, speech recognition, speech generation, deep fakes, spam creation, RAG document summary, brainstorming, content classification, etc. I don’t even think we’ve found all the patterns they’d be great at predicting.
There are tons of great uses, but just throwing more data, memory, compute, and power at transformers is likely to hit a wall without new models. All the AGI hype is a bit overblown. That’s not from me that’s Noam Chomsky https://youtu.be/axuGfh4UR9Q?t=9271.
They’re also adding a lot more incompatible text formatting and shit to keep Android incomplete with their real chat protocol. Gotta keep those teens bullying Android users. Also E2E encryption would be nice, but the EU didn’t force them to do that.
Still great because MMS is garbage and ruins photo and video quality.
The fingerprinting I’m talking about gets encoded in the screen recording too. Subtle pixel changes here or there over the entire length of the video. It’ll be lossy when it’s transcoded, but over the whole video it’s there enough times it won’t matter. Even scaling to lower quality won’t fix it and then it’ll also be lower quality.
It’ll be like DRM, there will be people trying to remove it like anything else. They’ll break one thing and another will come along. There would still be a black market, but most people can get an unrestricted copy in exchange for money so there’s one less reason to pirate.
Unless you’re actually pointing a camera at the screen, then OK, you do you.
They could offer a way to download a copy and steganographically tag it to hell with your id so that they know if you distribute it. You can “loan it out” by letting friends stream off your Plex or whatever. If you start selling that streaming service or it shows up in torrents, it has your ID on it.
Boom, you own it forever and you’re incentivized not to over share.
Or you know sell DRM free versions and let people do whatever, but that probably has a snowballs chance in hell.
Exactly. They really sealed the deal when they sent a push message to get people to call Congress and stop the ban. https://www.theverge.com/2024/3/7/24093308/tiktok-congress-ban-push-notification
“TikTok can be used to influence our citizens politically” * TikTok proves it true immediately on a personal level for legislators * “See!”
Couldn’t have found a better way to put gas on that fire. You’re supposed to bribe lobby when they start talking shit.
They stole the DNA data of users with recycled passwords. Last I saw this was 14,000 users and I was notified that at least one was transitively related to me. So they didn’t get my DNA, just one or more user’s view of my profile. I got out before a real breach happens and they do privilege escalation or phish an admin or something. Or like OP said go into bankruptcy/acquisition and sell their most valuable asset.
The headline stat is a misinterpretation of the study which was done by Arkose Labs which “provides businesses with lasting bot prevention and account security by sapping the financial motivations of cybercriminals.”
That’s pretty vague but skimming it sounds like they prevent automated account creation and takeover. The stat comes from the companies they have access to (who need bot protection enough to pay for it), and 76% of activity on the login/account creation was malicious. That makes a lot more sense. All the various hacks and credential leaks result in bots banging in stolen credentials on high value sites.
They wrote up a whole thing about it. It was linked in the article.
Why let you have your memories at all? Each day you remember the doctored history of a happy employee. You’re excited for another day of peak productivity with a short break for your favorite meal (the only food you’re aware of): Soylent green. Hey where’s Steve today… who’s Steve… better get back to work.
I thought so to, but I guess it was Door Dash https://9to5mac.com/2023/05/19/doordash-charges-iphone-users-more-than-android-users-lawsuit-alleges/. Also something about using a Mac to book travel https://www.bbc.com/news/technology-18595347