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Blog post - Autoregression vs Diffusion - Understanding Sampling via Optimal Transport Autoregression and diffusion look like opposites. Yet, beneath the implementation details, both are solving the same transport problem: how to turn simple noise into structured data.

Ji-Ha

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20,283 次观看 • 4 个月前 •via X (Twitter)

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In flow matching, a coupling determines how noise and data samples are paired during training. The choice of coupling is important because it influences the geometry of trajectories at inference time. The simplest choice is the independent coupling, where noise and data points are paired arbitrarily. This can lead to curved trajectories as the model averages over many conflicting pairings. However, if we use optimal transport on batches of pairs, this leads to fewer ambiguous intersections that the model must resolve, leading to straighter trajectories at inference time.

In flow matching, a coupling determines how noise and data samples are paired during training. The choice of coupling is important because it influences the geometry of trajectories at inference time. The simplest choice is the independent coupling, where noise and data points are paired arbitrarily. This can lead to curved trajectories as the model averages over many conflicting pairings. However, if we use optimal transport on batches of pairs, this leads to fewer ambiguous intersections that the model must resolve, leading to straighter trajectories at inference time.

Alec Helbling

65,484 次观看 • 3 个月前

Turn complex docs into clean, LLM-ready data! Every AI company I've talked to is solving the same problem: how do you build systems that don't hallucinate and back up every answer with proper citations? Tensorlake is a tool that extracts custom-defined structured data from any unstructured document in 3 steps: ↳ Define your schema ↳ Enable citations ↳ Extract You get RAG-ready data with precise citations and bounding boxes. Feed this to your LLM, and you'll generate responses that are citation-backed and fully auditable. This is the difference between a demo and a production system. When your AI can show exactly where it got its information, you move from proof-of-concept to something people can actually trust and deploy. I've shared the Tensorlake GitHub repo in the replies!

Turn complex docs into clean, LLM-ready data! Every AI company I've talked to is solving the same problem: how do you build systems that don't hallucinate and back up every answer with proper citations? Tensorlake is a tool that extracts custom-defined structured data from any unstructured document in 3 steps: ↳ Define your schema ↳ Enable citations ↳ Extract You get RAG-ready data with precise citations and bounding boxes. Feed this to your LLM, and you'll generate responses that are citation-backed and fully auditable. This is the difference between a demo and a production system. When your AI can show exactly where it got its information, you move from proof-of-concept to something people can actually trust and deploy. I've shared the Tensorlake GitHub repo in the replies!

Akshay 🚀

58,172 次观看 • 9 个月前

Vision AI agents are becoming a practical way to automatically turn video data from the physical world into operational intelligence in factories, cities, warehouses and transportation systems. See how Roboflow, DeepHow, and Linker Vision use NVIDIA Cosmos and NVIDIA Metropolis to generate synthetic data, fine-tune vision models faster, and deploy vision agents at scale. 📰 Read the blog:

Vision AI agents are becoming a practical way to automatically turn video data from the physical world into operational intelligence in factories, cities, warehouses and transportation systems. See how Roboflow, DeepHow, and Linker Vision use NVIDIA Cosmos and NVIDIA Metropolis to generate synthetic data, fine-tune vision models faster, and deploy vision agents at scale. 📰 Read the blog:

NVIDIA Omniverse

21,412 次观看 • 2 个月前

Migrants are that relaxed that they actually use public transport like local buses to get to the beaches. Does this look like they’re being stopped, pushed back, or anyone being prevented from reaching the beaches? It’s just a well-organised operation to bring them into our country. What exactly are we paying millions and millions of UK taxpayers’ money for?

Migrants are that relaxed that they actually use public transport like local buses to get to the beaches. Does this look like they’re being stopped, pushed back, or anyone being prevented from reaching the beaches? It’s just a well-organised operation to bring them into our country. What exactly are we paying millions and millions of UK taxpayers’ money for?

Danny Tommo

16,813 次观看 • 4 个月前

Driven by a UK Government push to open up transport data and boost public transport use nationwide, Google Maps has officially integrated live public transport tracking. By mandating that operators share their live GPS data, tech apps can now let you literally watch your specific bus moving along the map in real-time. As seen in the screenshot above, you can tap on your route (like the 207 towards White City) and see exactly where the bus is on the road, how many minutes away it is, and when the data was last updated. No more relying on broken countdown boards. No more running for a “ghost bus” that never actually shows up. No more standing in the rain guessing if you have time to grab a coffee. Have you noticed this government-backed feature on your phone yet? And more importantly... which West London bus route is the most unreliable and needs this the most? Let us know below #UB1UB2 #London #Southall #Hayes #Ealing

Driven by a UK Government push to open up transport data and boost public transport use nationwide, Google Maps has officially integrated live public transport tracking. By mandating that operators share their live GPS data, tech apps can now let you literally watch your specific bus moving along the map in real-time. As seen in the screenshot above, you can tap on your route (like the 207 towards White City) and see exactly where the bus is on the road, how many minutes away it is, and when the data was last updated. No more relying on broken countdown boards. No more running for a “ghost bus” that never actually shows up. No more standing in the rain guessing if you have time to grab a coffee. Have you noticed this government-backed feature on your phone yet? And more importantly... which West London bus route is the most unreliable and needs this the most? Let us know below #UB1UB2 #London #Southall #Hayes #Ealing

UB1UB2 West London (Southall)

21,165 次观看 • 5 个月前

Car-to-curb distance estimation using Ultralytics YOLO26. 🚗 In parking lots, knowing the exact distance between a vehicle and the curb can help prevent minor collisions and improve parking precision. In this demo, a car is detected and tracked, and the system calculates the distance from the curb in real time in pixel space, showcasing how computer vision can turn simple camera feeds into spatial awareness tools. Implementation details 👇 #cardistance #visionai #ROADSAFETYCONCERN

Car-to-curb distance estimation using Ultralytics YOLO26. 🚗 In parking lots, knowing the exact distance between a vehicle and the curb can help prevent minor collisions and improve parking precision. In this demo, a car is detected and tracked, and the system calculates the distance from the curb in real time in pixel space, showcasing how computer vision can turn simple camera feeds into spatial awareness tools. Implementation details 👇 #cardistance #visionai #ROADSAFETYCONCERN

Muhammad Rizwan Munawar

27,503 次观看 • 4 个月前

We’ve seen humanoid robots walk around for a while, but when will they actually help with useful tasks in daily life? The challenge here is the diversity and complexity of real-world scenes. Our new work tackles this problem via 3D visuomotor policy learning. Using data from only 1 scene, our Improved 3D Diffusion Policy (iDP3) enables a full-sized humanoid robot to autonomously pick&place objects, pour water, and wipe tables, in the wild open world. (and all these skills are useful, right?) Web: Fully open-sourced code:

We’ve seen humanoid robots walk around for a while, but when will they actually help with useful tasks in daily life? The challenge here is the diversity and complexity of real-world scenes. Our new work tackles this problem via 3D visuomotor policy learning. Using data from only 1 scene, our Improved 3D Diffusion Policy (iDP3) enables a full-sized humanoid robot to autonomously pick&place objects, pour water, and wipe tables, in the wild open world. (and all these skills are useful, right?) Web: Fully open-sourced code:

Yanjie Ze

75,391 次观看 • 1 年前

💡Data Scraping vs. Data Mining: Understanding the Difference Ever wondered why OptimAI Network emphasizes Data Mining over simple web scraping? Here’s why: 🔹Web Scraping is surface-level, capturing raw data from websites without context, validation, or depth. 🔹Data Mining, however, is a deeper, intelligent process—extracting, analyzing, validating, and refining data into structured insights essential for advanced AI models. 💫 Why OptimAI Focuses on Data Mining? OptimAI's decentralized nodes don’t just collect data—they actively validate, annotate, and refine it. By leveraging collective human intelligence, edge computing, and autonomous AI agents, we deliver the high-quality, real-world data necessary for powering sophisticated AI. 💫 Why It Matters—and Why You Should Join Now Participate now via our OptimAI Lite Node, and become a foundational part of building the most comprehensive decentralized Reinforcement Data Network for Agentic AI. Mine data, fuel innovation, and earn OPI rewards. 👉 Chrome Extension Node: 👉 Telegram Node: Together, let's redefine data for #DePIN #AI.

💡Data Scraping vs. Data Mining: Understanding the Difference Ever wondered why OptimAI Network emphasizes Data Mining over simple web scraping? Here’s why: 🔹Web Scraping is surface-level, capturing raw data from websites without context, validation, or depth. 🔹Data Mining, however, is a deeper, intelligent process—extracting, analyzing, validating, and refining data into structured insights essential for advanced AI models. 💫 Why OptimAI Focuses on Data Mining? OptimAI's decentralized nodes don’t just collect data—they actively validate, annotate, and refine it. By leveraging collective human intelligence, edge computing, and autonomous AI agents, we deliver the high-quality, real-world data necessary for powering sophisticated AI. 💫 Why It Matters—and Why You Should Join Now Participate now via our OptimAI Lite Node, and become a foundational part of building the most comprehensive decentralized Reinforcement Data Network for Agentic AI. Mine data, fuel innovation, and earn OPI rewards. 👉 Chrome Extension Node: 👉 Telegram Node: Together, let's redefine data for #DePIN #AI.

OptimAI Network

51,129 次观看 • 1 年前

Asking a fit person what they do to stay fit AND assuming that’s how they got fit is like asking a rich person how they maintain wealth and assuming that’s how they built it. The maintenance protocol and the building protocol are not the same thing. If you model the current behavior without the foundation, you’re solving the wrong problem. And yeah, the build takes some time… But once you get there? Maintenance is easy. If you want to start from the right place without trial and error, DM me “TRAIN”.

Asking a fit person what they do to stay fit AND assuming that’s how they got fit is like asking a rich person how they maintain wealth and assuming that’s how they built it. The maintenance protocol and the building protocol are not the same thing. If you model the current behavior without the foundation, you’re solving the wrong problem. And yeah, the build takes some time… But once you get there? Maintenance is easy. If you want to start from the right place without trial and error, DM me “TRAIN”.

Coach Paul

11,843 次观看 • 4 个月前

Another Day, Another Safety Hazard: Is KSRTC Ignoring Basic Maintenance? Is this the new standard of bus maintenance in Karnataka? This KSRTC bus appears to be moving unevenly on the road instead of running straight, raising serious concerns about its condition and maintenance. Public transport vehicles carry hundreds of passengers every day, and even a small mechanical issue can put many lives at risk. The poor condition of the bus clearly reflects a lack of proper inspection and maintenance. If such vehicles are allowed to operate on busy roads, they not only endanger passengers but also other road users. Safety should be the highest priority for any transport authority, yet incidents like this raise questions about whether regular checks are being conducted effectively. The Transport Department and the Transport Minister Ramalinga Reddy must take accountability and ensure that all buses are thoroughly inspected before being put into service. Preventive maintenance is far cheaper than dealing with accidents and loss of life. If an accident occurs due to negligence, who will take responsibility? The authorities cannot continue to ignore these warning signs while citizens risk their safety every day.Public transport should inspire confidence, not fear. Passengers deserve safe, reliable, and well-maintained buses, and the government must ensure that taxpayer money is being used to maintain these vehicles to the highest standards. #bangalore #bengaluru #ksrtc DK Shivakumar Siddaramaiah BJP Karnataka alok kumar DGP KARNATAKA ಕರ್ನಾಟಕ ರಾಜ್ಯ ಪೊಲೀಸ್ Karnataka State Police S. Lalitha ChristinMathewPhilip

Another Day, Another Safety Hazard: Is KSRTC Ignoring Basic Maintenance? Is this the new standard of bus maintenance in Karnataka? This KSRTC bus appears to be moving unevenly on the road instead of running straight, raising serious concerns about its condition and maintenance. Public transport vehicles carry hundreds of passengers every day, and even a small mechanical issue can put many lives at risk. The poor condition of the bus clearly reflects a lack of proper inspection and maintenance. If such vehicles are allowed to operate on busy roads, they not only endanger passengers but also other road users. Safety should be the highest priority for any transport authority, yet incidents like this raise questions about whether regular checks are being conducted effectively. The Transport Department and the Transport Minister Ramalinga Reddy must take accountability and ensure that all buses are thoroughly inspected before being put into service. Preventive maintenance is far cheaper than dealing with accidents and loss of life. If an accident occurs due to negligence, who will take responsibility? The authorities cannot continue to ignore these warning signs while citizens risk their safety every day.Public transport should inspire confidence, not fear. Passengers deserve safe, reliable, and well-maintained buses, and the government must ensure that taxpayer money is being used to maintain these vehicles to the highest standards. #bangalore #bengaluru #ksrtc DK Shivakumar Siddaramaiah BJP Karnataka alok kumar DGP KARNATAKA ಕರ್ನಾಟಕ ರಾಜ್ಯ ಪೊಲೀಸ್ Karnataka State Police S. Lalitha ChristinMathewPhilip

Karnataka Portfolio

10,201 次观看 • 3 个月前

Most recent diffusion language model research (that I’ve seen) seems to be using masking as the noising process. It looks like, however, most closed-source models (Google Gemini Diffusion and possibly Inception Labs’ Mercury) use a different noising process, where instead of masking tokens, they replace them with different tokens (either with a random token or a semantically similar token). I wondered how they were getting such high throughput with the latter noising process, since I believed that optimizing inference with KVCache approximation would be more difficult (for various reasons). I visualized this noising process with tiny-diffusion and compared it to normal unmasking, and was very surprised to see how fast the generation “settles” into a reasonable output, and then only slightly refines afterwards, requiring much fewer steps in total. Unmasking (where tokens are never remasked, the typical implementation) is inherently limited in generation speed by the fact that an increase in tokens decoded per step leads to more errors due to the mismatch between individual and marginal token probability distributions we sample from. The token replacement noising process seems to have a much different set of characteristics. Because we sample each token per step, every token makes “progress” towards the final output each iteration (in addition to *potentially* giving other tokens more information in future steps). Generally, masking has outperformed other noising processes, which is probably why most research focused on it (using smaller models). But the paper referred to in the retweet shows that random replacement as a noising process may scale better as model size increases. Big labs might have noticed these results much earlier (due to having drastically more training resources and being able to test larger models), which may explain the discrepancy in the choice of noising process. I’m gonna test this with larger models, since tiny-diffusion only has 10M parameters.

Most recent diffusion language model research (that I’ve seen) seems to be using masking as the noising process. It looks like, however, most closed-source models (Google Gemini Diffusion and possibly Inception Labs’ Mercury) use a different noising process, where instead of masking tokens, they replace them with different tokens (either with a random token or a semantically similar token). I wondered how they were getting such high throughput with the latter noising process, since I believed that optimizing inference with KVCache approximation would be more difficult (for various reasons). I visualized this noising process with tiny-diffusion and compared it to normal unmasking, and was very surprised to see how fast the generation “settles” into a reasonable output, and then only slightly refines afterwards, requiring much fewer steps in total. Unmasking (where tokens are never remasked, the typical implementation) is inherently limited in generation speed by the fact that an increase in tokens decoded per step leads to more errors due to the mismatch between individual and marginal token probability distributions we sample from. The token replacement noising process seems to have a much different set of characteristics. Because we sample each token per step, every token makes “progress” towards the final output each iteration (in addition to potentially giving other tokens more information in future steps). Generally, masking has outperformed other noising processes, which is probably why most research focused on it (using smaller models). But the paper referred to in the retweet shows that random replacement as a noising process may scale better as model size increases. Big labs might have noticed these results much earlier (due to having drastically more training resources and being able to test larger models), which may explain the discrepancy in the choice of noising process. I’m gonna test this with larger models, since tiny-diffusion only has 10M parameters.

nathan (in sf)

40,440 次观看 • 7 个月前

#support2earn Metabows is a social problem-solving project utilizing WEB3, initiated by Satoshi and his beloved dog Bruno. Metabows issues BOW tokens and uses the value generated from them to give back to society, aiming to achieve a "well-being society for both humans and dogs." BOW tokens can be mined by participating in a new X to earn mechanism called support2earn. As more people around the world spread the philosophy of Metabows through support2earn, the value of BOW tokens will increase, and society will improve. Metabows progresses through blog stories linked to the project, so please read the blog and participate in support2earn. ↓ ▪︎=============▪︎ 【How to Participate】 From 4/14 23:00 to 4/15 23:00 1⃣ Hold DFT or XCR 2⃣ Like the post 3⃣ Follow Metabows🐕 ADVENTURES 📿🎖️ 4⃣ Quote the first tweet Add a comment ＋ Use any hashtag(s) (Please include easily spreadable hashtags, but it seems better not to use more than two) 5⃣ Participation page

#support2earn Metabows is a social problem-solving project utilizing WEB3, initiated by Satoshi and his beloved dog Bruno. Metabows issues BOW tokens and uses the value generated from them to give back to society, aiming to achieve a "well-being society for both humans and dogs." BOW tokens can be mined by participating in a new X to earn mechanism called support2earn. As more people around the world spread the philosophy of Metabows through support2earn, the value of BOW tokens will increase, and society will improve. Metabows progresses through blog stories linked to the project, so please read the blog and participate in support2earn. ↓ ▪︎=============▪︎ 【How to Participate】 From 4/14 23:00 to 4/15 23:00 1⃣ Hold DFT or XCR 2⃣ Like the post 3⃣ Follow Metabows🐕 ADVENTURES 📿🎖️ 4⃣ Quote the first tweet Add a comment ＋ Use any hashtag(s) (Please include easily spreadable hashtags, but it seems better not to use more than two) 5⃣ Participation page

Metabows🐕

54,807 次观看 • 3 年前

FACT Check: Conservatives are attacking Biden saying he's requiring Americans Trapped in Israel, who want to leave, sign a promissory note to repay costs? FACTS: This has been US policy for at least 79 years! Although the United States government is requiring individuals who intend to be evacuated sign a promissory note (known as the form DS-5528), this has been a US policy going back to at least 1944. President Trump required those evacuated from foreign nations sign the same note and reimburse costs just like Biden is and all the previous presidents have since 1944. Here's what the US State Department website (which was active during Trump's President says about Form DS-5528? "Generally, individuals evacuated on a U.S. government-coordinated transport, including charter and military flights or ships, even if those transports are provided by another country’s government, must sign an Evacuee Manifest and Promissory Note (Form DS-5528) note prior to departure. The Department of State uses the Form DS-5528 to document who got on which transport, and it lets us know how to contact evacuees for billing purposes. U.S. law requires that departure assistance to private U.S. citizens or third country nationals be provided “on a reimbursable basis to the maximum extent practicable.” By taking a U.S. government coordinated transport, evacuees are obligated to repay the cost of their transportation. The amount billed to evacuees is based on the cost of a full fare economy flight, or comparable alternate transportation, to the designated destination(s) that would have been charged immediately prior to the events giving rise to the evacuation. Because different evacuation transports may go to different destinations, the cost of one transport may be different than another. We encourage people to leave on the first transport they are able and eligible to board." FACTS MATTER. Stop spreading misinformation.

FACT Check: Conservatives are attacking Biden saying he's requiring Americans Trapped in Israel, who want to leave, sign a promissory note to repay costs? FACTS: This has been US policy for at least 79 years! Although the United States government is requiring individuals who intend to be evacuated sign a promissory note (known as the form DS-5528), this has been a US policy going back to at least 1944. President Trump required those evacuated from foreign nations sign the same note and reimburse costs just like Biden is and all the previous presidents have since 1944. Here's what the US State Department website (which was active during Trump's President says about Form DS-5528? "Generally, individuals evacuated on a U.S. government-coordinated transport, including charter and military flights or ships, even if those transports are provided by another country’s government, must sign an Evacuee Manifest and Promissory Note (Form DS-5528) note prior to departure. The Department of State uses the Form DS-5528 to document who got on which transport, and it lets us know how to contact evacuees for billing purposes. U.S. law requires that departure assistance to private U.S. citizens or third country nationals be provided “on a reimbursable basis to the maximum extent practicable.” By taking a U.S. government coordinated transport, evacuees are obligated to repay the cost of their transportation. The amount billed to evacuees is based on the cost of a full fare economy flight, or comparable alternate transportation, to the designated destination(s) that would have been charged immediately prior to the events giving rise to the evacuation. Because different evacuation transports may go to different destinations, the cost of one transport may be different than another. We encourage people to leave on the first transport they are able and eligible to board." FACTS MATTER. Stop spreading misinformation.

Brian Krassenstein

904,508 次观看 • 2 年前

OAU transport system was near perfect, adequate buses and bikes, we rarely experienced queues until the First Lady came and decided she didn’t like the ease of transportation and introduced “change” by donating CNG buses. The school management in turn banned all motorcycles and commercial buses on campus and subjected over 30,000 students to just about 50 buses and a few tricycles. OAU has one of the largest land masses of any Nigerian university, yet students are now stranded daily. This is a Monday morning where students are supposed to rush for class, but they are stuck at the campus gate because of the inefficiency of the CNG buses. Students are struggling to go to class in the morning and in the evenings to even get back to their hostels. Students staying off campus now spend almost double to get to campus, all alternative transport means have been removed The management have cars to bypass all of this, but majority of students do not. Yet they released statements talking about how the buses will “ease transportation” and even implied students appreciate the system. Meanwhile, students are trekking, missing classes, and spending hours in queues. Let it be clear that students do not appreciate this system. It has made our lives harder, not better. What used to be a smooth system has now become a daily struggle. There are many pressing issues in this school, but they chose to dismantle a working transport system and replace it with hardship. We can no longer remain silent. Let the whole world know what OAU students are going through. Please if you come across this tweet, help us retweet it whether you are an OAU student or not We demand our towngboro buses and motorcycles back.

OAU transport system was near perfect, adequate buses and bikes, we rarely experienced queues until the First Lady came and decided she didn’t like the ease of transportation and introduced “change” by donating CNG buses. The school management in turn banned all motorcycles and commercial buses on campus and subjected over 30,000 students to just about 50 buses and a few tricycles. OAU has one of the largest land masses of any Nigerian university, yet students are now stranded daily. This is a Monday morning where students are supposed to rush for class, but they are stuck at the campus gate because of the inefficiency of the CNG buses. Students are struggling to go to class in the morning and in the evenings to even get back to their hostels. Students staying off campus now spend almost double to get to campus, all alternative transport means have been removed The management have cars to bypass all of this, but majority of students do not. Yet they released statements talking about how the buses will “ease transportation” and even implied students appreciate the system. Meanwhile, students are trekking, missing classes, and spending hours in queues. Let it be clear that students do not appreciate this system. It has made our lives harder, not better. What used to be a smooth system has now become a daily struggle. There are many pressing issues in this school, but they chose to dismantle a working transport system and replace it with hardship. We can no longer remain silent. Let the whole world know what OAU students are going through. Please if you come across this tweet, help us retweet it whether you are an OAU student or not We demand our towngboro buses and motorcycles back.

BIG VIRG

126,127 次观看 • 4 个月前

Drivers like this are exactly how people end up getting seriously hurt on the road. The cyclists clearly signalled a turn, yet this driver still chose to overtake straight into a developing hazard. Then a ute pulls out from the side street and suddenly you’ve got a near head-on. Completely avoidable if there was even a moment of patience and awareness.

Drivers like this are exactly how people end up getting seriously hurt on the road. The cyclists clearly signalled a turn, yet this driver still chose to overtake straight into a developing hazard. Then a ute pulls out from the side street and suddenly you’ve got a near head-on. Completely avoidable if there was even a moment of patience and awareness.

Cycliq

16,372 次观看 • 4 个月前

The kitchen's open 🍕 What slice are you? Take the quiz → get your flavour → post your card → flex. We're giving away 5 BNB Chain swag boxes to randomly selected winners to celebrate Bitcoin Pizza Day. Here's how to win: 1️⃣ Take the “What Slice Are You?” quiz and get your pizza card here: 2️⃣ Quote tweet this post with your card image, #BNBPizzaDay, and tag BNB Chain. Terms: 🔸Competition period: May 22 – May 28. 🔸Prize distribution: 5 BNB Chain swag boxes, one per winner. 🔸Winners: 5 winners picked via Simpliers and announced May 28. Prizes shipped after winners confirm shipping details. 🔸Note: must complete both steps above to be eligible to win. 🔸Full terms and info can be found on our blog:

The kitchen's open 🍕 What slice are you? Take the quiz → get your flavour → post your card → flex. We're giving away 5 BNB Chain swag boxes to randomly selected winners to celebrate Bitcoin Pizza Day. Here's how to win: 1️⃣ Take the “What Slice Are You?” quiz and get your pizza card here: 2️⃣ Quote tweet this post with your card image, #BNBPizzaDay, and tag BNB Chain. Terms: 🔸Competition period: May 22 – May 28. 🔸Prize distribution: 5 BNB Chain swag boxes, one per winner. 🔸Winners: 5 winners picked via Simpliers and announced May 28. Prizes shipped after winners confirm shipping details. 🔸Note: must complete both steps above to be eligible to win. 🔸Full terms and info can be found on our blog:

BNB Chain

216,693 次观看 • 3 个月前

$ai ads already look exactly like normal ads this could be a real pet clip a normal living room product shot or a casual phone-style review same structure, same pacing, same emotional cues they convert the same as traditional creatives but cost a fraction and take hours instead of weeks to produce when ai blends into the feed performance doesn’t drop production friction does i broke down how to build ai ads that are indistinguishable from real ones and how to use them to scale faster with lower costs rt + comment “blend” and i’ll send the breakdown (follow for dm)$

ai ads already look exactly like normal ads this could be a real pet clip a normal living room product shot or a casual phone-style review same structure, same pacing, same emotional cues they convert the same as traditional creatives but cost a fraction and take hours instead of weeks to produce when ai blends into the feed performance doesn’t drop production friction does i broke down how to build ai ads that are indistinguishable from real ones and how to use them to scale faster with lower costs rt + comment “blend” and i’ll send the breakdown (follow for dm)

Alessandro

13,253 次观看 • 8 个月前

The fun part of experimenting with brushes is that you have to figure out how the ink behaves first. How it spreads. How it flows. Only after that do you start thinking about texture. And honestly both parts are hard in their own way. What I tried today was adding something like a magnetic force into the ink. So while drawing, these unexpected textures start to show up.Most of the strength and density come from layering 2D Perlin noise. It’s actually really fun to play with. A lot of time goes into things no one ever notices. That’s just life :)

The fun part of experimenting with brushes is that you have to figure out how the ink behaves first. How it spreads. How it flows. Only after that do you start thinking about texture. And honestly both parts are hard in their own way. What I tried today was adding something like a magnetic force into the ink. So while drawing, these unexpected textures start to show up.Most of the strength and density come from layering 2D Perlin noise. It’s actually really fun to play with. A lot of time goes into things no one ever notices. That’s just life :)

AluanWang

13,257 次观看 • 8 个月前