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.

“Freedom of choice Is what you got Freedom from choice Is what you want” -Devo

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.

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.

Exactly BYD is their biggest problem. Also they can’t claim higher build quality so you’d really pay more for just the brand.