@A1Mish@mweinbach I would choose three taps (“order,” location, “favorites” and pic of drink) to typing or speaking something i might not know/remember (what st is Starbucks on?). They either get it all right the first time or have a back and forth chat to read instead of ~3-5 words and a map.
@mweinbach Say it louder for the people in the back. There are a lot of amazing use cases for chat. Replacing every UI is not one of them. Replacing some UIs will be excellent.
Lots of interesting decisions to be made and good thinking to do!
@A1Mish@mweinbach A blank chat screen is infinite decision fatigue. Apps are built on “recognition not recall” specifically to counter this - recent orders, favorites, skimmable menus, etc.
@HilzFuld Old people who struggle on tiny phone screens. Children whose parents need to easily see what they are watching. Musicians who want to stop carrying around sheet music. Touch controllers for music production software. Students who want to take written notes on docs
we need a word for a type of person who spends all their time working to live in a city so they can be near cool things, but they don't actually like going out
Hot take: Europe is a bunch of third-world countries with better branding. No A/C. No dryers. Ice is a luxury. You’ll sweat through dinner while the waiter ignores you for 2 hours. Say what you want about America, but at least eating out doesn’t feel like hot yoga with bread.
Maggie Rogers, as an unknown music student at NYU, showing her unfinished song 'Alaska' to Pharrell (who can visibly tell it's going to be a massive hit within about 15 seconds)
@JeremiahDJohns there is, of course, a subreddit for that (though a lot of it is just the famous band playing a song before they got famous rather than hit songs)
https://t.co/PFgxILM2AR
I thought I understood AI prompting.
Then Google dropped their 68-page engineering guide.
It reveals techniques that work across all LLMs
I dove deep into all 5 advanced methods.
Here's what will transform your AI outputs🧵
The bigger picture:
AI hallucination isn't going away anytime soon.
As these models become more powerful, their ability to generate convincing but false information only increases.
The next big differentiating factor for LLMs won't be creativity - it'll be truth detection.