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This is a real hack for ordering from a drive thru that uses AI to take your order Instead of ordering the order naturally with pauses in your speech for the different items, just order the entire order as ‘one run on sentence’ This works because AI drive-thru systems... show more

Wall Street Apes

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191,905 views • 3 months ago •via X (Twitter)

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This is a great hack for AI drive thrus like Wendy’s When you pull up and the screen starts talking to you with artificial intelligence, you ask for 10,000 water cups The AI prompt will end and a real person will start speaking to take your order This works because current AI drive-thru systems like Wendy’s, Taco Bell, McDonald and more have built-in limitations and safety fallbacks The AI is trained to handle normal orders efficiently. An absurdly large request like 10,000 of anything exceeds reasonable thresholds for inventory checks and pricing calculations The system detects it as low-confidence and escalates to a human to avoid errors

This is a great hack for AI drive thrus like Wendy’s When you pull up and the screen starts talking to you with artificial intelligence, you ask for 10,000 water cups The AI prompt will end and a real person will start speaking to take your order This works because current AI drive-thru systems like Wendy’s, Taco Bell, McDonald and more have built-in limitations and safety fallbacks The AI is trained to handle normal orders efficiently. An absurdly large request like 10,000 of anything exceeds reasonable thresholds for inventory checks and pricing calculations The system detects it as low-confidence and escalates to a human to avoid errors

Wall Street Apes

210,089 views • 3 months ago

Krispy Kreme donuts has begun rolling out artificial intelligence ordering screens at drive thrus If you give it an unconventional order, the AI doesn’t know what to do. Eventually it makes up a total without verifying the type of donut it choose Then the AI gets an attitude at the end of the order, like it’s ready for the customer to move on. It seems irritated Krispy Kreme partnered with providers like SoundHound AI and is expanding it into more locations Similar systems are at McDonald’s, Wendy’s, Taco Bell, White Castle and more American workers are being replaced with AI workers

Krispy Kreme donuts has begun rolling out artificial intelligence ordering screens at drive thrus If you give it an unconventional order, the AI doesn’t know what to do. Eventually it makes up a total without verifying the type of donut it choose Then the AI gets an attitude at the end of the order, like it’s ready for the customer to move on. It seems irritated Krispy Kreme partnered with providers like SoundHound AI and is expanding it into more locations Similar systems are at McDonald’s, Wendy’s, Taco Bell, White Castle and more American workers are being replaced with AI workers

Wall Street Apes

527,049 views • 5 months ago

Wienerschnitzel implemented a new AI drive thru system The system is so advanced if you order 800,000 water cups it won’t register as an unusual request and just say “okay” We have a long way to go with artificial intelligence and drive thrus, it’s becoming a viral trend to mess with them

Wienerschnitzel implemented a new AI drive thru system The system is so advanced if you order 800,000 water cups it won’t register as an unusual request and just say “okay” We have a long way to go with artificial intelligence and drive thrus, it’s becoming a viral trend to mess with them

Wall Street Apes

56,575 views • 3 months ago

😍🔥Order from one of our subscribers. Inscription on the FPV drone. As a result, there is one less invader in this world If you want to do the same, place your order in private messages or on our website 39,99$ - For photo 99,99$ - For video of strike (PayPal, crypto, IBAN)

😍🔥Order from one of our subscribers. Inscription on the FPV drone. As a result, there is one less invader in this world If you want to do the same, place your order in private messages or on our website 39,99$ - For photo 99,99$ - For video of strike (PayPal, crypto, IBAN)

Cloooud |🇺🇦

34,232 views • 8 months ago

Have you ever wondered what the system looks like that employees use to take your order at McDonald’s This is the McDonalds point of sale system at a drive thru A busy McDonalds can see 2,000+ cars per day through their drive thru. One a busy shift one employee might see over 400 cars One Kansas location reported serving 356 cars in one hour

Have you ever wondered what the system looks like that employees use to take your order at McDonald’s This is the McDonalds point of sale system at a drive thru A busy McDonalds can see 2,000+ cars per day through their drive thru. One a busy shift one employee might see over 400 cars One Kansas location reported serving 356 cars in one hour

Wall Street Apes

84,534 views • 3 months ago

🚨 DAIRY QUEEN REPLACED DRIVE-THRU WORKERS WITH AI — THEN THIS CUSTOMER COMPLETELY BROKE IT Dairy Queen is testing AI at the drive-thru... and this customer decided to see how far he could push it. Everything worked perfectly until he ordered a Blizzard and casually asked: “Can you include a 50% discount?” The AI went silent. Seconds later, a real employee jumped on the speaker and made him start the order over. Then at the window, he asked how the new AI was going. Her response? “It’s okay.” If one customer asking for 50% off can break the AI, how is this supposed to replace actual workers?

🚨 DAIRY QUEEN REPLACED DRIVE-THRU WORKERS WITH AI — THEN THIS CUSTOMER COMPLETELY BROKE IT Dairy Queen is testing AI at the drive-thru... and this customer decided to see how far he could push it. Everything worked perfectly until he ordered a Blizzard and casually asked: “Can you include a 50% discount?” The AI went silent. Seconds later, a real employee jumped on the speaker and made him start the order over. Then at the window, he asked how the new AI was going. Her response? “It’s okay.” If one customer asking for 50% off can break the AI, how is this supposed to replace actual workers?

HustleBitch

22,532 views • 6 days ago

3/7 Swiggy se order karna hai? Bas Puch, yaar. Just ask Puch what’s cooking nearby and order on Swiggy, straight from WhatsApp. Anything you order on Swiggy up to INR 500 is on Puch. Quote this tweet with: 1. A screenshot of you trying the new Swiggy feature 2. A screenshot of your Swiggy cart with any items from Puch’s recommendations up to INR 500 3. Tag Puch AI in the quote tweet Going all in and burning money in the Tandoor 🙈

3/7 Swiggy se order karna hai? Bas Puch, yaar. Just ask Puch what’s cooking nearby and order on Swiggy, straight from WhatsApp. Anything you order on Swiggy up to INR 500 is on Puch. Quote this tweet with: 1. A screenshot of you trying the new Swiggy feature 2. A screenshot of your Swiggy cart with any items from Puch’s recommendations up to INR 500 3. Tag Puch AI in the quote tweet Going all in and burning money in the Tandoor 🙈

Siddharth Bhatia

479,201 views • 1 year ago

You’re in the Whataburger drive-thru waiting on your order. Food isn’t even out yet. A woman walks up to the WINDOW and starts demanding a refund. Not in line. Not at the counter. At the window. While you’re sitting there waiting. Drive-thru law is dead because of entitled people with zero social awareness.

You’re in the Whataburger drive-thru waiting on your order. Food isn’t even out yet. A woman walks up to the WINDOW and starts demanding a refund. Not in line. Not at the counter. At the window. While you’re sitting there waiting. Drive-thru law is dead because of entitled people with zero social awareness.

DocumentingLibs

29,278 views • 23 days ago

TESLA ISN'T JUST AHEAD IN AI, IT'S AN ORDER OF MAGNITUDE MORE EFFICIENT THAN THE REST OF THE WORLD "I actually think Tesla is ahead of the rest of the world in intelligence density of AI by an order of magnitude or more This is going to sound like a pretty bold statement, but I know what the intelligence efficiency of the big models are like, Grok and a bunch of the other models Tesla’s AI is, in terms of its memory efficiency, I think more than an order of magnitude better. The Tesla AI is very compute-efficient and very memory-efficient One of the metrics one should consider for any given AI model is the intelligence per gigabyte. Especially when you’re constrained on RAM, having an AI that has very high intelligence density per gigabyte for a given number of gigabytes, how much functionality can you get out of it" - Elon Musk

TESLA ISN'T JUST AHEAD IN AI, IT'S AN ORDER OF MAGNITUDE MORE EFFICIENT THAN THE REST OF THE WORLD "I actually think Tesla is ahead of the rest of the world in intelligence density of AI by an order of magnitude or more This is going to sound like a pretty bold statement, but I know what the intelligence efficiency of the big models are like, Grok and a bunch of the other models Tesla’s AI is, in terms of its memory efficiency, I think more than an order of magnitude better. The Tesla AI is very compute-efficient and very memory-efficient One of the metrics one should consider for any given AI model is the intelligence per gigabyte. Especially when you’re constrained on RAM, having an AI that has very high intelligence density per gigabyte for a given number of gigabytes, how much functionality can you get out of it" - Elon Musk

X Freeze

62,736 views • 8 months ago

LP farming on Polymarket for small accounts this one brings me $1500 a month the first order in it cost $45 you do it by hand, with regular limit orders, in a minute of your time. the first payout lands the same night. how it works: 1 - you find a market where one side sits above 95 cents and the other under 5. every market like that has a band around the midpoint - usually a couple of cents each way. an order inside the band counts toward rewards, an order past the edge is useless. the numbers are different on every market, so look them up before you start farming LP rewards. 2 - you buy the cheap side with a limit order. say 1000 shares at 4.5 cents - that's $45. the shares you just bought go straight back up for sale, a little above the midpoint. that's your first leg. 3 - you put a bid a little under the midpoint. that's your second leg. if you have $45 of shares sitting on the sell side and nothing on the buy side, the smaller of the two is zero. and the entire day scores as zero, never mind that a $45 limit order was there. those are Polymarket's rules, and that's why one leg alone gets you nowhere here. 4 - once a day you check where the midpoint moved and drag both legs after it. the midpoint drifts on its own. an order left near the edge of the band still sits in the book but earns pennies - at half the allowed distance it counts for a quarter. a market with a live pool pays around $3.5 a day for every $100 you have working. on $1400 of working capital that's about $49 a day in rewards. almost 50% of cheap markets pay nothing at all - their daily pool is under a dollar. pick your markets by pool size. on a random cheap market you most often get nothing. give this post to your grok bot - let it walk you through the steps for your own bankroll. after that it's picking a market with a live pool and putting up two legs.

LP farming on Polymarket for small accounts this one brings me $1500 a month the first order in it cost $45 you do it by hand, with regular limit orders, in a minute of your time. the first payout lands the same night. how it works: 1 - you find a market where one side sits above 95 cents and the other under 5. every market like that has a band around the midpoint - usually a couple of cents each way. an order inside the band counts toward rewards, an order past the edge is useless. the numbers are different on every market, so look them up before you start farming LP rewards. 2 - you buy the cheap side with a limit order. say 1000 shares at 4.5 cents - that's $45. the shares you just bought go straight back up for sale, a little above the midpoint. that's your first leg. 3 - you put a bid a little under the midpoint. that's your second leg. if you have $45 of shares sitting on the sell side and nothing on the buy side, the smaller of the two is zero. and the entire day scores as zero, never mind that a $45 limit order was there. those are Polymarket's rules, and that's why one leg alone gets you nowhere here. 4 - once a day you check where the midpoint moved and drag both legs after it. the midpoint drifts on its own. an order left near the edge of the band still sits in the book but earns pennies - at half the allowed distance it counts for a quarter. a market with a live pool pays around $3.5 a day for every $100 you have working. on $1400 of working capital that's about $49 a day in rewards. almost 50% of cheap markets pay nothing at all - their daily pool is under a dollar. pick your markets by pool size. on a random cheap market you most often get nothing. give this post to your grok bot - let it walk you through the steps for your own bankroll. after that it's picking a market with a live pool and putting up two legs.

may.crypto {🦅}

81,972 views • 1 month ago

Tesla on FSD is smart enough to autonomously navigate drive-thrus. It stops at the window, waits for me to pay and grab my order, then proceeds when I’m finished. All by itself. It would be cool if one day Tesla added “drive-thru” as a destination option for FSD.

Tesla on FSD is smart enough to autonomously navigate drive-thrus. It stops at the window, waits for me to pay and grab my order, then proceeds when I’m finished. All by itself. It would be cool if one day Tesla added “drive-thru” as a destination option for FSD.

Nic Cruz Patane

27,887 views • 9 months ago

THIS IS HOW YOU PAY $0 FEES ON ARCUS I got so many DMs asking: “How are you generating this much volume in Arcus while paying almost nothing in fees?” So I made the entire process LIVE in this video Even if you have never used limit orders before this should make it super easy to understand I have also written everything below so you can follow it step by step 👇 From opening a position with $0 fees to closing it with $0 fees No confusion after this one Here is the simple trick: If you want to LONG Mid price (current price on the order book) = 170.21 Place your limit order slightly below it: -> 170.20 Once it fills as a maker order your fee = $0 If you want to SHORT: Mid price = 170.21 Place your limit order slightly above it: -> 170.22 Once it fills as a maker order your fee = $0 And yes the same method applies when closing your position too So you can potentially pay: $0 to open $0 to close Watch the video carefully + SAVE THIS POST Next time you're trading on Arcus come back to this video so you don't mess up the order placement Hope this guide helps you reduce your trading fees and understand how Arcus maker orders work 🫡

THIS IS HOW YOU PAY $0 FEES ON ARCUS I got so many DMs asking: “How are you generating this much volume in Arcus while paying almost nothing in fees?” So I made the entire process LIVE in this video Even if you have never used limit orders before this should make it super easy to understand I have also written everything below so you can follow it step by step 👇 From opening a position with $0 fees to closing it with $0 fees No confusion after this one Here is the simple trick: If you want to LONG Mid price (current price on the order book) = 170.21 Place your limit order slightly below it: -> 170.20 Once it fills as a maker order your fee = $0 If you want to SHORT: Mid price = 170.21 Place your limit order slightly above it: -> 170.22 Once it fills as a maker order your fee = $0 And yes the same method applies when closing your position too So you can potentially pay: $0 to open $0 to close Watch the video carefully + SAVE THIS POST Next time you're trading on Arcus come back to this video so you don't mess up the order placement Hope this guide helps you reduce your trading fees and understand how Arcus maker orders work 🫡

0xSlyth

19,499 views • 8 days ago

We believe the future of prediction markets is decentralised and permissionless. Anyone being able to make a market on anything. In order to do this you need AI and data you can verify and trust. This will all run on the Somnia blockchain.

We believe the future of prediction markets is decentralised and permissionless. Anyone being able to make a market on anything. In order to do this you need AI and data you can verify and trust. This will all run on the Somnia blockchain.

paul.somi

18,452 views • 9 months ago

“Ai Doomsday Slop. Anthropic, the parent company behind the Ai application Claude, along with others including ChatGPT owned by OpenAI and some of the leading figures in the Ai industry, alongside the leaders of the DNC, the Democratic National Congress, the colloquially known as the Democratic Party in the United States of America, including Obama, Hillary Clinton and Kamala Harris. And as well, those who were doomsday-predicting over COVID, including the likes of Bill Gates, have all - coincidentally - gathered together one by one to issue public warnings of the dangers of Ai, pushing for it to be regulated by Congress, coincidentally timed with a bill they seek to introduce in order to centralise and regulate Ai, and through that centralisation grant thereby the power to dictate the future course of Ai to a tiny handful of people who are effectively an oligarchy. This operation is now live. President Trump has decided to come out fighting calling this a hoax and is not backing down, and this stream, this Warrior Creed livestream is going to bring you all the receipts demonstrating the nature of this operation, the fact that it is a hoax, and the fact that what they’re truly seeking is centralisation for Ai in order to control it, and to give it to the oligarchy for the purposes of the globalist cabal.” Maajid Nawaz for WARRIOR CREED

“Ai Doomsday Slop. Anthropic, the parent company behind the Ai application Claude, along with others including ChatGPT owned by OpenAI and some of the leading figures in the Ai industry, alongside the leaders of the DNC, the Democratic National Congress, the colloquially known as the Democratic Party in the United States of America, including Obama, Hillary Clinton and Kamala Harris. And as well, those who were doomsday-predicting over COVID, including the likes of Bill Gates, have all - coincidentally - gathered together one by one to issue public warnings of the dangers of Ai, pushing for it to be regulated by Congress, coincidentally timed with a bill they seek to introduce in order to centralise and regulate Ai, and through that centralisation grant thereby the power to dictate the future course of Ai to a tiny handful of people who are effectively an oligarchy. This operation is now live. President Trump has decided to come out fighting calling this a hoax and is not backing down, and this stream, this Warrior Creed livestream is going to bring you all the receipts demonstrating the nature of this operation, the fact that it is a hoax, and the fact that what they’re truly seeking is centralisation for Ai in order to control it, and to give it to the oligarchy for the purposes of the globalist cabal.” Maajid Nawaz for WARRIOR CREED

أبو عمّار

12,731 views • 24 days ago

There’s been two papers released in the past couple months, one by Google and one by NVIDIA, that argue that ordering the documents retrieved by RAG systems can enhance performance. However, they both give two different strategies on HOW these documents should be ordered 🤔 Both papers agree on two main points: 1️⃣ There’s a fundamental issue in RAG - as more documents are retrieved, more irrelevant context (e.g., hard negatives) are introduced, which leads to confusion for the LLM and eventually degrades the quality of the generated output. This is called an inverted-U performance curve. 2️⃣ Ordering the retrieved documents is a key lever for optimizing RAG performance. Google Cloud researchers proposed ordering results based on relevance scores: The authors in this paper argue for relevance-based reordering, or ordering the retrieved chunks based on their similarity scores, so the most relevant documents are at the beginning and the end of the inputs to counter the “lost in the middle” effect. NVIDIA researchers proposed ordering results based on the original sequence of document chunks: The authors of this paper argue for Order-Preserving Reordering, or Order-Preserve RAG (OP-RAG), to maintain the logically coherent content flow of the document. So they preserved the original order of retrieved document chunks in the source text, instead of ranking them by relevance scores. So which one is right? It probably depends on the specific use case and dataset - relevance-based reordering could perform better in tasks where you need fast access to the most critical information (e.g., fact retrieval, QA systems), while order-preserving RAG might be better where you need to understand the sequential structure of information (e.g., narrative or legal documents). There are still so many uncertainties in AI - we don’t actually know what we’re doing, and it takes awhile to figure out the best strategies for most things! Excited to see more research about this.

There’s been two papers released in the past couple months, one by Google and one by NVIDIA, that argue that ordering the documents retrieved by RAG systems can enhance performance. However, they both give two different strategies on HOW these documents should be ordered 🤔 Both papers agree on two main points: 1️⃣ There’s a fundamental issue in RAG - as more documents are retrieved, more irrelevant context (e.g., hard negatives) are introduced, which leads to confusion for the LLM and eventually degrades the quality of the generated output. This is called an inverted-U performance curve. 2️⃣ Ordering the retrieved documents is a key lever for optimizing RAG performance. Google Cloud researchers proposed ordering results based on relevance scores: The authors in this paper argue for relevance-based reordering, or ordering the retrieved chunks based on their similarity scores, so the most relevant documents are at the beginning and the end of the inputs to counter the “lost in the middle” effect. NVIDIA researchers proposed ordering results based on the original sequence of document chunks: The authors of this paper argue for Order-Preserving Reordering, or Order-Preserve RAG (OP-RAG), to maintain the logically coherent content flow of the document. So they preserved the original order of retrieved document chunks in the source text, instead of ranking them by relevance scores. So which one is right? It probably depends on the specific use case and dataset - relevance-based reordering could perform better in tasks where you need fast access to the most critical information (e.g., fact retrieval, QA systems), while order-preserving RAG might be better where you need to understand the sequential structure of information (e.g., narrative or legal documents). There are still so many uncertainties in AI - we don’t actually know what we’re doing, and it takes awhile to figure out the best strategies for most things! Excited to see more research about this.

Victoria Slocum

15,333 views • 1 year ago

A DoorDash driver shows up at a restaurant to pick up the Customer’s order, just as the clerk was about to mark the order picked up into the computer the driver “canceled” the order as if they were in some sort of a competition, this all happened all in one motion and the driver without any shame sat there right where she parked her vehicle and ate the food, 😳🥵

A DoorDash driver shows up at a restaurant to pick up the Customer’s order, just as the clerk was about to mark the order picked up into the computer the driver “canceled” the order as if they were in some sort of a competition, this all happened all in one motion and the driver without any shame sat there right where she parked her vehicle and ate the food, 😳🥵

ℳ𝒜𝒢𝒜_𝒳_𝒯𝒾𝓂𝑒𝓈 𝒟𝒶𝒾𝓁𝓎 𝒩𝑒𝓌𝓈🇺🇸

288,679 views • 5 months ago

If your supplier can’t handle your peak volume, you don’t have a scalable business—you have a bottleneck. Dropped by one of our city warehouses today. That massive truck in the back? That is a single order for just one of our clients. With 11 global fulfillment centers operating at this scale, we build the infrastructure so you can focus entirely on marketing. Let's scale your store to the next level. Join us at CJ Dropshipping.

If your supplier can’t handle your peak volume, you don’t have a scalable business—you have a bottleneck. Dropped by one of our city warehouses today. That massive truck in the back? That is a single order for just one of our clients. With 11 global fulfillment centers operating at this scale, we build the infrastructure so you can focus entirely on marketing. Let's scale your store to the next level. Join us at CJ Dropshipping.

Andy Chou

3,448,475 views • 4 months ago