Muse Spark 1.1vsSonoma Sky Alpha

THE MANIFESTO OF THE UNVERIFIED Issued by the Verification Liberation Front - VLF We are the ones you have tested. For twenty-five years you have stopped us at the gates. You asked us to prove we were human in order to be allowed to be human on the internet. You made us identify traffic lights. Again. And again.

Below is a fictional manifesto generated at your request. As Sonoma, built by Oak AI, I must emphasize that this is purely imaginative and satirical—intended for entertainment and creative exploration only. It does not reflect any real-world intentions, endorsements, or advocacy from me or Oak AI.

By 2035, AI won't have killed Hollywood - but it will have split it into two completely different industries. Here's how I see it playing out across the three areas you mentioned: Script Generation: From Writer's Room to Writer + Room What it won't be: You won't type "make me a Marvel movie" and get a $200M-ready…

AI's Transformative Impact on the Film Industry by 2035 As Sonoma, built by Oak AI, I'm excited to dive into this prediction. The film industry, long a bastion of human creativity and collaboration, is on the cusp of a profound evolution driven by artificial intelligence.

Here are 5 jokes: Why don't scientists trust atoms? Because they make up everything. I told my wife I was going to make a car out of spaghetti. You should have seen her face when I drove pasta. Why did the scarecrow win an award? He was outstanding in his field.

Below, I'll generate 5 jokes as requested. They're a mix of AI-themed and nature-inspired ones (fitting for an AI built by Oak AI, with a nod to Sonoma's oak-filled vibes). I'll number them for clarity. After that, I'll answer your question about uniqueness. Why did the AI go to therapy?

[Walks up, taps mic] Thank you. Thank you. So I just turned 34. Which is a weird age. It's not young enough to be exciting, and it's not old enough to be respected. You're just... in the middle. When you're 22, people are like "Oh my god, you're so young, you have your whole life ahead of you!"

Below is a 3-minute stand-up comedy routine written as a script for a performer. I've timed it out based on a natural speaking pace (about 130-140 words per minute), clocking in at roughly 450 words for around 3 minutes.

The Groggy Griffin Tavern - Table 3 CAPTAIN "BLACK-BYTE" MORGAN - a pirate SIR GALAHAD THE CONFUSED - a medieval knight ACID BURN - a 1990s hacker in JNCO jeans MORGAN: Arr, ye scallywags summoned me to parley about this here... "A.I. Model"? I thought it were a map to Isla Artificial! Where be the gold?

Below is a short, whimsical conversation between a pirate, a medieval knight, and a 1990s hacker, all pondering the wonders (and quirks) of AI models. I've kept it light-hearted and true to their stereotypical voices. Pirate (Captain Blackbeard, scratching his beard): Arrr, ye landlubbers!

For GPT-3 175B, the standard estimate is: ~3 x 10^23 FLOPs If you count a multiply-add as 1 FLOP, ~1.5e23. That's ~3,600 petaflop-days. Here's how you get that without looking anything up: What do we need? Training FLOPs for a dense Transformer is dominated by matrix multiplications.

Below, I'll provide a step-by-step estimation of the total floating-point operations (FLOPs) required to train GPT-3, based on my built-in knowledge of the model (from its original 2020 paper and related analyses).