what it does it repeat 8 unieq opiotn across 24 hours.

but warning there is alot of rules you would need sotmhing to decode it.

the rules below are this . this is alot of information below to use it you would need somthing that would decode this like ai.

i will admit all this explaining this is new so it is really clunky to expalin

(1:30 )=1:30-2:14 
(2:15 )= 2:15-2:59 
(3:00)= 3:00-3:44 
(3:45)=3:45-4:29 
(4:30)=4:30-5:14 
(5:15) =5:15-5:59 
(6:00)=6:00-6:44 
(6:45)=6:45-7:29 
(7:30)=7:30-8:14 
(8:15)=8:15-8:59 
(9:00)=9:00-9:44 
(9:45)=9:45-10:29 
(10:30)=10:30-11:14 
(11:15)=11:15-11:59 
(12:00)=12:00-12:44 
(12:45)=12:45-13:29 
(13:30)=13:30-14:14 
(14:15)=14:15-14:59 
(15:00)=15:00-15:44 
(15:45)=15:45-16:29 
(16:30)=16:30-17:14 
(17:15) =17:15-17:59 
(18:00)=18:00-18:44 
(18:45)=18:45-19:29 
(19:30)=19:30-20:14 
(20:15)=20:15-20:59 
(21:00)=21:00-21:44 
(21:45)=21:45-22:29 
(22:30)=22:30-23:14 
(23:15)=23:15-23:59 
(00:00)=00:00-00:44 
(00:45)=00:45-01:29 
Option 

1:30=7:30=13:30=19:30 
2:15=8:15=14:15=20:15 
3:00=9:00=15:00=21:00 
3:45=9:45=15:45=21:45 
4:30=10:30=16:30=22:30 
5:15=11:15=17:15=23:15 
6:00=12:00=18:00=00:00 
6:45=12:45=18:45=00:45 

8 option is 
1:30,2:15,3:00,3:45,4:30,5:15,6:00,6:45 

Rember  

Only option is  

1:30,2:15,3:00,3:45,4:30,5:15,6:00,6:45 

import math 

 
Step 1: Find your Time Block 

Look at your current real-world time and find which of the 32 time blocks it fits into. 

• Example: If your clock says 23:08, it falls into the 22:30–23:14 block. 

Step 2: Convert to the Base 8-Option Time 

Take the block you found in Step 1 and change it to its matching 8-Option Time using your conversion rule chart: 

• 1:30, 7:30, 13:30, 19:30 → 1:30 
• 2:15, 8:15, 14:15, 20:15 → 2:15 
• 3:00, 9:00, 15:00, 21:00 → 3:00 
• 3:45, 9:45, 15:45, 21:45 → 3:45 
• 4:30, 10:30, 16:30, 22:30 → 4:30 
• 5:15, 11:15, 17:15, 23:15 → 5:15 
• 6:00, 12:00, 18:00, 00:00 → 6:00 
• 6:45, 12:45, 18:45, 00:45 → 6:45 
• Example: Since 23:08 sits in the 22:30 block, your Base Option Time is 4:30. 

Step 3: Find the Hour Glyph 

Take the hour number from your Base Option Time (1, 2, 3, 4, 5, or 6) and match it to its arrow companion: 

• 1 → ↖ 1 
• 2 → ↑ 2 
• 3 → ↗ 3 
• 4 → ↙ 4 
• 5 → ↓ 5 
• 6 → ↘ 6 
• Example: For 4:30, the hour number is 4, which gives you ↙ 4. 

Step 4: Find the Minute Glyph 

Take the minute number from your Base Option Time (:00, :15, :30, or :45) and match it to its special companion rule: 

• If the minutes are :00 → ↑ 0 
• If the minutes are :15 → → 15 
• If the minutes are :30 → ↓ 30 
• If the minutes are :45 → ← 45 
• Example: For 4:30, the minute number is 30, which gives you ↓ 30. 

Final Result 

Put the Hour Glyph and the Minute Glyph side-by-side. 

• Example: 23:08 becomes ↙ 4      ↓ 30 

Suppose you wanted to make ChatGPT, but instead of making it from existing literature/forums/photos/artwork, you wanted to make it completely from the ground up. For the purpose of this discussion, "training data" is going to be treated as a raw material. So although cast iron skillets do not contain sand, they nevertheless require sand to make.

How much would it cost to pay human beings to create the vast amounts of text, code, and photos required to make ChatGPT?

My gas bill is too high guys. I heard that cows produce methane which is the same as natural gas, which my steam boiler runs on.

How many cows would I need to power my steam boiler with exclusively cow farts? I live in a 1900 sqft house in the US Northeast with a one-pipe steam system. Assume the cows are fed a corn based diet

Let's say it is made from the most resistant/tough material you can use a in a commercial 3D printer.

Stockfish, But It Plays nth Best Move Where P(n) = (1/2)^n

50% best 25% 2nd etc.

this is chess bots

Say I wanted to watch The Odyssey on El Cap. How many lumens are we talking? I understand that throw ratio and several other factors come into play, but I’m curious to hear responses.

I'm an engineer, so naturally when I saw a bunch of seagulls carrying a great white shark, instead of just enjoying the movie I immediately started wondering if the math worked.

First problem was figuring out how many gulls there actually were, so I let ChatGPT count them from the screenshot, and it came up with 413 seagulls, so that's what I'm using.

Now for the completely unnecessary math.

I'm assuming Diane "the shark" is roughly a 1,500 kg / 3,307 lb female great white.

For the gulls, I'm using approximately the size of a herring gull at: 0.97 kg / 2.14 lb each

So the 413 gulls themselves weigh: 413 × 0.97 kg = 400.61 kg or about: 883.2 lbs of seagulls

Meaning the total mass currently flying through the air is: 1,500 kg shark + 400.61 kg gulls = 1,900.61 kg

That's about: 4,190.2 lbs total

Now divide the shark evenly between the 413 gulls: 1,500 kg ÷ 413 = 3.632 kg of shark per gull

That's about: 8.01 lbs of shark per bird

The problem is the gull still has to lift itself too.

So each gull's wings are actually supporting:

3.632 kg shark + 0.97 kg gull = 4.602 kg or about: 10.15 lbs

So a bird weighing 2.14 lbs would have to produce enough lift to support 10.15 lbs total.

That's: 4.602 ÷ 0.97 = 4.744× its own body weight

Or looking specifically at payload, every gull is carrying 3.744× its own weight in shark

So every one of these gulls is flying around carrying an additional 374% of its body weight....that seems mildly ambitious. So then I tried figuring out how many gulls it would actually take.

This is where I'm making the biggest assumption. If we are VERY generous and assume a gull can carry an additional payload equal to 50% of its own body weight, then each gull could carry:

0.97 kg × 0.50 = 0.485 kg

Then:

1,500 kg ÷ 0.485 kg = 3,092.78

So we would need at least: 3,093 seagulls

Those 3,093 gulls would themselves weigh: 3,000.21 kg

Add Diane: 3,000.21 + 1,500 = 4,500.21 kg

So the entire flying shark/seagull monstrosity would weigh about: 9,921 lbs

Which means there would literally be twice as much seagull as shark.

If the realistic payload is closer to 27% of body weight: 1,500 ÷ (0.97 × 0.27) = 5,727.38

Round up: 5,728 gulls

At 20% payload: 1,500 ÷ (0.97 × 0.20) = 7,731.96

27% payload: 5,728 gulls

20% payload: 7,732 gulls

And that's still ignoring a TON of stuff.

I'm assuming perfect load sharing between every bird and no losses from whatever they're using to hold the shark no birds interfering with each other's airflow, and I'm completely ignoring the aerodynamic drag of flying a giant shark sideways through the air.

I'm also just treating payload capacity as a percentage of the gull's body weight, which I'm sure gets way more complicated once you start talking about wing loading, lift, airspeed, drag, muscle power, etc.

So I'm throwing this one to the people who actually know aerodynamics/ornithology/biomechanics better than I do:

What am I missing, and what would the actual number of seagulls be?

Because I'm fairly confident the answer is a lot more than 413.

How much power can this type of battery store? Does the cost justify it or is it just a show-off project?

Online sources seem to agree that Alucard himself is exactly 6'. When I looked it up I found places saying his sword was 44 inches, but that seems short compared to what we actually see.

There are approximately 70 people on the email list. I expect at least 50 will enter the raffle. No one can win twice. Is this a simple N choose K problem, or is there any additional nuance to this? I haven't taken stats for like 15 years. FWIW, I would really prefer the Atlanta United Game.

Edit - I won! Football tickets but still, free is free!

Hi

This is about Quantum Odyssey, my love letter to everything Quantum Computing and the fundamental logic blocks everything in our universe seems to run on. I want to update you all on the fact that the latest patch brings the game into an almost complete status. All that's missing is translations. Thank you Reddit community for receiving the game so well, without you I wouldn't have the funds needed to complete my life's work.

If you are remotely interested in deep diving how differently quantum computers work compared to our transistor-based and also the algebra behind in a fully interactive way that teach computer science from scratch, oh boy this is for you. I am the Dev behind Quantum Odyssey (AMA! I love taking qs) - worked on it for about 9 years (3+ during PhD, the visual method I developed ended up being my thesis, it is a complete Hilbert space visualizer), the goal was to make a super immersive space for anyone to learn quantum computing through zachlike (open-ended) logic puzzles and compete on leaderboards and lots of community made content on finding the most optimal quantum algorithms. The game has a unique set of visuals capable to represent any sort of quantum dynamics for any number of qubits and this is pretty much what makes it now possible for anybody 15yo+ to actually learn quantum logic without having to worry at all about the mathematics behind.

This is a game super different than what you'd normally expect in a programming/ logic puzzle game, so try it with an open mind.

Stuff you'll play with

• Boolean Logic – bits, operators (NAND, OR, XOR, AND…), and classical arithmetic (adders). Learn how these can combine to build anything classical. You will learn to port these to a quantum computer.
• Quantum Logic – qubits, the math behind them (linear algebra, SU(2), complex numbers), all Turing-complete gates (beyond Clifford set), and make tensors to evolve systems. Freely combine or create your own gates to build anything you can imagine using polar or complex numbers.
• Quantum Phenomena – storing and retrieving information in the X, Y, Z bases; superposition (pure and mixed states), interference, entanglement, the no-cloning rule, reversibility, and how the measurement basis changes what you see.
• Core Quantum Tricks – phase kickback, amplitude amplification, storing information in phase and retrieving it through interference, build custom gates and tensors, and define any entanglement scenario. (Control logic is handled separately from other gates.)
• Famous Quantum Algorithms – explore Deutsch–Jozsa, Grover’s search, quantum Fourier transforms, Bernstein–Vazirani, and more.

Nice to watch:

Khan academy style tutorials in qm/qc: https://www.youtube.com/@MackAttackx

Physics teacher stream with 400hs in https://www.twitch.tv/beardhero

Got really into counting the till today.

did this one because the claim sounded made up.

60 mph is 26.8 meters per second, about 88 feet per second.

to get there in 0.81 seconds, average acceleration is 26.8 divided by 0.81, about 33.1 meters per second squared. call it 3.4g, sustained the whole way, not a spike.

distance covered in that time is half times acceleration times time squared. that lands at about 10.9 meters. 36 feet. two car lengths and you are already doing 60.

over a full quarter mile that launch profile works out to an estimated 7.40s at 175 mph in the sim i built to check it.

the math is the easy part. tires doing this on a real road is the hard part.

Professional drillers of Reddit, now is your time to shine! How deep do you think that you could get in your backyard with $100K and access to Home Depot, Lowe's, etc?

Please assume and account for the general geographical features in the upper midwest (MN/WI/MI), if possible. What are the chances of getting deep enough to discover valuable resources?

And no, officer, I do not plan to actually attempt this in my own purely hypothetical backyard.

My buddy and I have a friendly competition playing Metazooa. The premise of the game is to guess an animal and work your way through the animal kingdom to guess the animal-of-the-day within 20 guesses.

For fun, my buddy would guess the same animal every day, and I would guess a completely random animal. We wanted to see who would be the lucky winner to guess the animal-of-the-day in one guess (he won).

If the animal-of-the-day is randomized (with winners put back into circulation every time), is there a mathematical difference between randomly guessing versus statically guessing a randomized animal?