In one of my 300 level poli sci classes, literally one of the first things the professor said is that in politics, everyone running for office is a power-hungry narcissist. It’s only a slight exaggeration.
That type of person is at every level of politics. I’d wager that if you could get data on the real motivations of every person who has ever run for office, you’d probably see the same amount of those people at every level, from school board to president.
Apple’s fate is to be the American Sony
And it’s not an open palm gesture, you point only your index finger up. Otherwise it looks like you’re just waving at someone
I love Wen and I hope she has all the pizza she could ever want
The Disney thing is what did him in. It was such a stupid fight to pick. Even if he had, in any form, won that fight, he still would’ve lost, because he would’ve harmed his state’s largest employer, and therefore Florida’s economy (and a major donor to his campaign).
It was a stupid, completely bad political move. It undercuts his “Trump, but competent” image. Donald Trump, or more importantly, a competent version of Donald Trump, would’ve moved the goalposts to somehow declare victory and give up on that fight.
He only built the “competent” image because his party controls the state legislature. It’s easy to pass stuff when you control the whole government. It’s not an impressive political accomplishment.
You can have it generate shitty code and then compare it against examples it finds online to iterate that code. Also, it was trained on the whole internet, including those good solutions, and can often reproduce them on its own. but you have to tell it, explicitly, to do all this to make better code, rather than just asking for the code.
I like the idea of never referring to it again
Car horns should come with a time limit: you can only use it so much per day. Then people might actually use them correctly. It’s not a rage button. It’s a safety device.
I don't agree that ChatGPT has gotten dumber, but I do think I’ve noticed small differences in how it’s engineered.
I’ve experimented with writing apps that use the OpenAI api to use the GPT model, and this is the biggest non-obvious problem you have to deal with that can cause it to seem significantly smarter or dumber.
The version of GPT 3.5 and 4 used in ChatGPT can only “remember” 4096 tokens at once. That’s a total of its output, the user’s input, and “system messages,” which are messages the software sends to give GPT the necessary context to understand. The standard one is “You are ChatGPT, a large language model developed by OpenAI. Knowledge Cutoff: 2021-09. Current date: YYYY-MM-DD.” It receives an even longer one on the iOS app. If you enable the new Custom Instructions feature, those also take up the token limit.
It needs token space to remember your conversation, or else it gets a goldfish memory problem. But if you program it to waste too much token space remembering stuff you told it before, then it has fewer tokens to dedicate to generating each new response, so they have to be shorter, less detailed, and it can’t spend as much energy making sure they’re logically correct.
The model itself is definitely getting smarter as time goes on, but I think we’ve seen them experiment with different ways of engineering around the token limits when employing GPT in ChatGPT. That’s the difference people are noticing.
I live near the former Holmdel Bell Labs complex. It’s an amazing building. It was sadly left in disrepair for decades until a developer bought it a few years back and turned it into a corporate office space with a mall at the ground floor. I got my Covid shots there.
His tweet says it was his campaign and personal email, both of which are separate accounts from his house.gov email. But he probably uses his personal email for work