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The biggest PS5 emulation breakthroughs often happen where you can't see them. SharpEMU developers are fixing a low-level Vulkan bug that causes Astro Bot to hang before gameplay. The update improves: • Vulkan image layout transitions • GPU command synchronization • Texture handling The startup video still isn't fully...

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Techjunkie Aman

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19,481 görüntüleme • 19 gün önce •via X (Twitter)

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I asked CS2 professional players what one thing they would like to see in CS2 improved/fixed by the CS2 Devs before the Major RMRs. I got 29 responses and the 3 major issues were: - Peeker's Advantage - Player Boost Bug - cl_bob All the responses from Pros 👇 🇮🇱 Guy Iluz: The Peeker's Advantage. 🇺🇸 ricky floppy kemery: #1 for me is Peeker's Advantage. 🇺🇦 headtr1ck: I would like to fix movement so you cannot feel that you don't see the enemy yet and you are already dead (Peeker's Advantage). 🇸🇪 Linus Holtäng: The biggest thing is the Peeker's advantage problem. 🇩🇪 Jon de Castro: I would somehow improve the Peeker's advantage. Also, some performance optimizations definitely have to be done. 🇵🇱 Paweł Dycha: When you peek compare to when you hold (Peeker's advantage). 🇺🇸 Paytyn: The biggest change is the Peeker's Advantage that's still a thing and makes the game impossible at times. 🇩🇰 NaToSaphiX: Something something Peeker’s advantage/net code. 🇵🇱 kRaSnaL: The biggest problem is ping in CS2, If u have 45 ping enemy 30, you feel the difference. In CS:GO, you could play easily on 50-60 ping. 🇪🇪 ropz: Probably the player boost bug. 🇷🇴 MoDo: Fix the bug when your teammate boost you and it's the whole screen is shaking. 🇬🇧 cai✨: Left hand bind and the player boost bug. 🇷🇺 donk: cl_bob, viewmodel_recoil 0 and the player boost bug. 🇮🇱 @xertioNNCSGO: The player boost bug is the only thing I can really think about right now. 🇩🇪 Krimbo: cl_bob/left hand, Fix the player boost bug and make movement a bit smoother. 🇰🇿 Alexey Golubev: Fix the bug when the players are boosting on each other and it's not working (upper person kinda swimming). 🇩🇰 Frederik Sørensen: I would just be happy if they added cl_bob and r_drawtracers 0. 🇹🇷 Ali Haydar Yalçın: For sure it would be cl_bob. 🇲🇳 dobu: I would like to add cl_bob and lefthand command. 🇧🇷 MIBR exit: I would like to see the cl_bob again in the game and jumps and bunnyhops to be smoother. 🇷🇺 KaiR0N-: When people run and gun, for example with deagle it works too often. It lowers the skill gap. 🇨🇳 Freeman: Fix the movement please like bhopping. 🇵🇱 Michał Müller: The walls are not smooth enough and often cause the grenade to block or cause a drastic change in the grenades trajectory. Movement is also still much worse than in CS:GO, bunnyhopping is still impossible. 🇮🇱 Shiran Shushan: I guess lag compensation. Feels way too hard to track a swinging target still. 🇺🇦 Ilya 🇺🇦: They need to work on FPS optimization to make the game more smoother. 🇧🇬 Aleks Petrov: The game just doesn't feel so responsive like CS:GO. 🇺🇦 npl: Probably Best of 1's should be MR16. 🇪🇪 Kevin Tarn: The smoke that follows a model when running through smoke could use a bit of fine tuning. 🇷🇺 Timofey Yakushin: Just fix the subtick. Here's a video showing the player boost bug by Sasha. The Build date is Dec 11th, 2023. We have not received any update related to this bug after that.
0:36

I asked CS2 professional players what one thing they would like to see in CS2 improved/fixed by the CS2 Devs before the Major RMRs. I got 29 responses and the 3 major issues were: - Peeker's Advantage - Player Boost Bug - cl_bob All the responses from Pros 👇 🇮🇱 Guy Iluz: The Peeker's Advantage. 🇺🇸 ricky floppy kemery: #1 for me is Peeker's Advantage. 🇺🇦 headtr1ck: I would like to fix movement so you cannot feel that you don't see the enemy yet and you are already dead (Peeker's Advantage). 🇸🇪 Linus Holtäng: The biggest thing is the Peeker's advantage problem. 🇩🇪 Jon de Castro: I would somehow improve the Peeker's advantage. Also, some performance optimizations definitely have to be done. 🇵🇱 Paweł Dycha: When you peek compare to when you hold (Peeker's advantage). 🇺🇸 Paytyn: The biggest change is the Peeker's Advantage that's still a thing and makes the game impossible at times. 🇩🇰 NaToSaphiX: Something something Peeker’s advantage/net code. 🇵🇱 kRaSnaL: The biggest problem is ping in CS2, If u have 45 ping enemy 30, you feel the difference. In CS:GO, you could play easily on 50-60 ping. 🇪🇪 ropz: Probably the player boost bug. 🇷🇴 MoDo: Fix the bug when your teammate boost you and it's the whole screen is shaking. 🇬🇧 cai✨: Left hand bind and the player boost bug. 🇷🇺 donk: cl_bob, viewmodel_recoil 0 and the player boost bug. 🇮🇱 @xertioNNCSGO: The player boost bug is the only thing I can really think about right now. 🇩🇪 Krimbo: cl_bob/left hand, Fix the player boost bug and make movement a bit smoother. 🇰🇿 Alexey Golubev: Fix the bug when the players are boosting on each other and it's not working (upper person kinda swimming). 🇩🇰 Frederik Sørensen: I would just be happy if they added cl_bob and r_drawtracers 0. 🇹🇷 Ali Haydar Yalçın: For sure it would be cl_bob. 🇲🇳 dobu: I would like to add cl_bob and lefthand command. 🇧🇷 MIBR exit: I would like to see the cl_bob again in the game and jumps and bunnyhops to be smoother. 🇷🇺 KaiR0N-: When people run and gun, for example with deagle it works too often. It lowers the skill gap. 🇨🇳 Freeman: Fix the movement please like bhopping. 🇵🇱 Michał Müller: The walls are not smooth enough and often cause the grenade to block or cause a drastic change in the grenades trajectory. Movement is also still much worse than in CS:GO, bunnyhopping is still impossible. 🇮🇱 Shiran Shushan: I guess lag compensation. Feels way too hard to track a swinging target still. 🇺🇦 Ilya 🇺🇦: They need to work on FPS optimization to make the game more smoother. 🇧🇬 Aleks Petrov: The game just doesn't feel so responsive like CS:GO. 🇺🇦 npl: Probably Best of 1's should be MR16. 🇪🇪 Kevin Tarn: The smoke that follows a model when running through smoke could use a bit of fine tuning. 🇷🇺 Timofey Yakushin: Just fix the subtick. Here's a video showing the player boost bug by Sasha. The Build date is Dec 11th, 2023. We have not received any update related to this bug after that.

Thour

408,956 görüntüleme • 2 yıl önce

You can't compare Cyberpunk 2077 launch to GTA 6 and here's exactly why Cyberpunk 2077 was the CDPR's first installment to feature a futuristic city with tons of NPCs and fast moving cars, something which was never done before on Witcher games. The gameplay video from Cyberpunk 2077 shown off in 2019 had a clear text showing "work in progress - does not represent the final look of the game" After the launch disaster of Cyberpunk 2077, Marcin Iwiński also explained that the reason the game had so many bugs is that the game was designed for PC first in mind, then scaled down to consoles that still had a hard drive (PS4 and Xbox One) an extremely difficult task on its own, combined with the fact that the game development progress took a major hit during the pandemic. Rockstar Games on the other hand has a much different engine and experience working on large scale open world game filled with tons of NPCs and fast moving cars, including the fact that they're developing this game for current gen consoles first, then scaling it up for a PC release not vice versa. Are we guys suddenly forgetting the fact that Rockstar Games managed to get GTA V running on a PS3 console which had 256mb of VRAM and 256mb of RAM at that time? The reason Rockstar Games has shown zero gameplay of GTA 6 is because historically they save the gameplay showcase before the game launches, GTA 6 Trailer 2 came out in 2025 and all footage for that Trailer was captured on a base PS5 with a mix of gameplay and cutscenes. They'll obviously show off more gameplay on August 27th, but comparing Cyberpunk 2077 to GTA 6 isn't exactly fair for both companies. On one hand, it was CDPR's first time making that kind of genre of a game and on the other hand, it isn't Rockstar Games first time making a Grand Theft Auto game.
2:07

You can't compare Cyberpunk 2077 launch to GTA 6 and here's exactly why Cyberpunk 2077 was the CDPR's first installment to feature a futuristic city with tons of NPCs and fast moving cars, something which was never done before on Witcher games. The gameplay video from Cyberpunk 2077 shown off in 2019 had a clear text showing "work in progress - does not represent the final look of the game" After the launch disaster of Cyberpunk 2077, Marcin Iwiński also explained that the reason the game had so many bugs is that the game was designed for PC first in mind, then scaled down to consoles that still had a hard drive (PS4 and Xbox One) an extremely difficult task on its own, combined with the fact that the game development progress took a major hit during the pandemic. Rockstar Games on the other hand has a much different engine and experience working on large scale open world game filled with tons of NPCs and fast moving cars, including the fact that they're developing this game for current gen consoles first, then scaling it up for a PC release not vice versa. Are we guys suddenly forgetting the fact that Rockstar Games managed to get GTA V running on a PS3 console which had 256mb of VRAM and 256mb of RAM at that time? The reason Rockstar Games has shown zero gameplay of GTA 6 is because historically they save the gameplay showcase before the game launches, GTA 6 Trailer 2 came out in 2025 and all footage for that Trailer was captured on a base PS5 with a mix of gameplay and cutscenes. They'll obviously show off more gameplay on August 27th, but comparing Cyberpunk 2077 to GTA 6 isn't exactly fair for both companies. On one hand, it was CDPR's first time making that kind of genre of a game and on the other hand, it isn't Rockstar Games first time making a Grand Theft Auto game.

NikTek

101,654 görüntüleme • 4 gün önce

Statistics and data show exclusive games have a far higher likelihood of being higher quality and/or more graphically and technically impressive, relative to the very low volume of releases they make up vs multi-platform games. This doesn't mean exclusives can't be and aren't often bad. Nor that multi-platform games can't be or aren't often better than exclusives, just that exclusivity (inc console and timed) greatly increases the likelihood of higher quality. Despite making up less than 10% of overall releases (see video for context and details), exclusives make up; +The majority of the highest rated games ever made. +The majority of the most Game of the Year Awarded games the last 13 years. +The overwhelming majority of tech and graphics awards winners, by arguably the most prestigious institutions in the field. This isn't a coincidence, as developers themselves keep reminding us. It's because exclusives greatly benefit from single platform focus, and design, development, optimisation, studios, teams, budgets, resources, testing and time, not having to instead be spread far thinner, across many platforms. This doesn't mean all games need to be or should be exclusive. Few games are, and that's fine. But some exclusives existing to push the boundaries of single platform development, tech and design focus, as well as increasing competition in general, is ultimately a great and pro-consumer thing. At least if you're a consumer who values the pursuit of higher potential quality, over accessibility. #PS5 #Xbox #Nintendo #Switch2
5:28

Statistics and data show exclusive games have a far higher likelihood of being higher quality and/or more graphically and technically impressive, relative to the very low volume of releases they make up vs multi-platform games. This doesn't mean exclusives can't be and aren't often bad. Nor that multi-platform games can't be or aren't often better than exclusives, just that exclusivity (inc console and timed) greatly increases the likelihood of higher quality. Despite making up less than 10% of overall releases (see video for context and details), exclusives make up; +The majority of the highest rated games ever made. +The majority of the most Game of the Year Awarded games the last 13 years. +The overwhelming majority of tech and graphics awards winners, by arguably the most prestigious institutions in the field. This isn't a coincidence, as developers themselves keep reminding us. It's because exclusives greatly benefit from single platform focus, and design, development, optimisation, studios, teams, budgets, resources, testing and time, not having to instead be spread far thinner, across many platforms. This doesn't mean all games need to be or should be exclusive. Few games are, and that's fine. But some exclusives existing to push the boundaries of single platform development, tech and design focus, as well as increasing competition in general, is ultimately a great and pro-consumer thing. At least if you're a consumer who values the pursuit of higher potential quality, over accessibility. #PS5 #Xbox #Nintendo #Switch2

NIB

12,923 görüntüleme • 1 yıl önce

Here is the Geometry Nodes Weighted Normals with Laplacian Blur on a full character (a vroid). It easily improves the shading even on game topology with almost no setup. I built this as part of my quest to improve real time toon shading. 3D anime models are popular, but use of dynamic light is rare even among high quality vtuber models. This is for several reasons, but a big one is simply that it takes a lot of Custom Normals work to make 3D cel shading not look like a jagged mess (other pieces of the puzzle are issues like deformations, multiple lights, etc). And fixing Normals is tedious, especially on existing game topology. I have focused on proxy meshes for priority areas like character faces, but they aren't an efficient solution for the whole body + outfit. I wanted something I could just throw on any model and make it at least not a jagged mess anymore even if it wasn't perfect. As you can see from this clip, this does that very well! And vertex groups can be used to control the style of the effect and power. It still can't smooth beyond what the topology density can support, but the topo itself is no longer a problem (for higher res, could be run on a subdivided version of the model and then baked to a Normal Map.) The only changes I made to this model were adding a weld modifier to merge split edges during interpolation, and a vertex group to select the skirt. I have not yet added full handling and logic for detecting edges with big angles like the skirt, or for handling boundaries like on the hair, so both those areas can get better too. You can also see that while it successfully smooths out the Face, it isn't really stylistically correct there. That is still best done with a proxy mesh to define a new shape. This is part of the tools I am working on for Fondant. We are putting together a Blender Addon to release this + a proxy mesh tool for the face, and are working on resolving other problems in-engine to fully bring dynamic light to real time 3D toon shading. Give us a follow, and send them a DM if you are interested in testing these tools as they develop!
2:17

Here is the Geometry Nodes Weighted Normals with Laplacian Blur on a full character (a vroid). It easily improves the shading even on game topology with almost no setup. I built this as part of my quest to improve real time toon shading. 3D anime models are popular, but use of dynamic light is rare even among high quality vtuber models. This is for several reasons, but a big one is simply that it takes a lot of Custom Normals work to make 3D cel shading not look like a jagged mess (other pieces of the puzzle are issues like deformations, multiple lights, etc). And fixing Normals is tedious, especially on existing game topology. I have focused on proxy meshes for priority areas like character faces, but they aren't an efficient solution for the whole body + outfit. I wanted something I could just throw on any model and make it at least not a jagged mess anymore even if it wasn't perfect. As you can see from this clip, this does that very well! And vertex groups can be used to control the style of the effect and power. It still can't smooth beyond what the topology density can support, but the topo itself is no longer a problem (for higher res, could be run on a subdivided version of the model and then baked to a Normal Map.) The only changes I made to this model were adding a weld modifier to merge split edges during interpolation, and a vertex group to select the skirt. I have not yet added full handling and logic for detecting edges with big angles like the skirt, or for handling boundaries like on the hair, so both those areas can get better too. You can also see that while it successfully smooths out the Face, it isn't really stylistically correct there. That is still best done with a proxy mesh to define a new shape. This is part of the tools I am working on for Fondant. We are putting together a Blender Addon to release this + a proxy mesh tool for the face, and are working on resolving other problems in-engine to fully bring dynamic light to real time 3D toon shading. Give us a follow, and send them a DM if you are interested in testing these tools as they develop!

aVersionOfReality

14,679 görüntüleme • 1 yıl önce

The simplest arb bot on Claude Opus 5 made +$1,847 PnL in one day. And it used just one strategy: Buying YES + NO Market metadata being rebuilt every loop > API requests waiting on each other > Orders being created only after spread appeared > Functions doing work they didn't need to do None of those changes made the strategy smarter. They made it faster. Now the bot keeps market metadata cached in memory. Orders are prepared before the opportunity exists. Multiple markets are scanned concurrently instead of one by one. When YES + NO finally drops below $1, the bot isn't thinking anymore. It's simply executing. That's probably the biggest lesson I've learned building arbitrage bots. Most developers ask Claude: "Can you build me a trading strategy?" But here's momething no one will tell you... Much better prompt is: "Pretend you're a low-latency engineer and find every millisecond I'm wasting" That prompt improved my bot more than any new trading idea I've tried. You can try it today but make sure to add my arb guides into a memory of your new project. This will help claude undertsand the concept and fail less. Thank me later, next update on Wednesday space as always.
0:50

The simplest arb bot on Claude Opus 5 made +$1,847 PnL in one day. And it used just one strategy: Buying YES + NO Market metadata being rebuilt every loop > API requests waiting on each other > Orders being created only after spread appeared > Functions doing work they didn't need to do None of those changes made the strategy smarter. They made it faster. Now the bot keeps market metadata cached in memory. Orders are prepared before the opportunity exists. Multiple markets are scanned concurrently instead of one by one. When YES + NO finally drops below $1, the bot isn't thinking anymore. It's simply executing. That's probably the biggest lesson I've learned building arbitrage bots. Most developers ask Claude: "Can you build me a trading strategy?" But here's momething no one will tell you... Much better prompt is: "Pretend you're a low-latency engineer and find every millisecond I'm wasting" That prompt improved my bot more than any new trading idea I've tried. You can try it today but make sure to add my arb guides into a memory of your new project. This will help claude undertsand the concept and fail less. Thank me later, next update on Wednesday space as always.

Oracle Boar

19,613 görüntüleme • 22 gün önce

Over 14 years of video analysis experience has taught us one thing at KeepItOnTheDeck 👀 Watch for the trends! This week at the Manchester United training ground, one trend stood out clearly... Michael Carrick has been heavily involved and focused on midfield relationships. And we would bet you see these patterns appear in the game against Fulham tomorrow. Before the comments rush in saying “we are giving away tactics”, that idea is ridiculous and comes from a non educated coaching view. Every Premier League club already knows these patterns. The issue is not seeing them. The issue is stopping them. The up back through and positional play around it is one of the hardest things to defend in football. Carrick gave a brilliant example this week of how to install clear pictures into players... 1️⃣ Working completely unopposed to allow players to practise and build relationships 2️⃣ Introducing semi opposed patterns to challenge angles of support and technique 3️⃣ Seeing the patterns appear in games and stepping in to praise and reinforce them That is top quality coaching. All the pundits and “experts” calling for a bigger name saying Carrick is not " big enough name" are missing the point. Why not judge the man on the job he is doing? Judge MERRIT!!! Why can't football people judge merit anymore? In the early weeks, the impact cannot be denied. He has the players onside and is designing training sessions that are already having a clear and direct impact on the identity of the team. That is managing & coaching. Is it not ⚽🔥
0:47

Over 14 years of video analysis experience has taught us one thing at KeepItOnTheDeck 👀 Watch for the trends! This week at the Manchester United training ground, one trend stood out clearly... Michael Carrick has been heavily involved and focused on midfield relationships. And we would bet you see these patterns appear in the game against Fulham tomorrow. Before the comments rush in saying “we are giving away tactics”, that idea is ridiculous and comes from a non educated coaching view. Every Premier League club already knows these patterns. The issue is not seeing them. The issue is stopping them. The up back through and positional play around it is one of the hardest things to defend in football. Carrick gave a brilliant example this week of how to install clear pictures into players... 1️⃣ Working completely unopposed to allow players to practise and build relationships 2️⃣ Introducing semi opposed patterns to challenge angles of support and technique 3️⃣ Seeing the patterns appear in games and stepping in to praise and reinforce them That is top quality coaching. All the pundits and “experts” calling for a bigger name saying Carrick is not " big enough name" are missing the point. Why not judge the man on the job he is doing? Judge MERRIT!!! Why can't football people judge merit anymore? In the early weeks, the impact cannot be denied. He has the players onside and is designing training sessions that are already having a clear and direct impact on the identity of the team. That is managing & coaching. Is it not ⚽🔥

Keepitonthedeck

17,309 görüntüleme • 6 ay önce

Sam Altman just handed every startup founder a one-question autopsy. Altman: “If you’re building something on GPT-4 that a reasonable observer would say we’re going to steamroll you.” Not might. Not could. Going to. He said it with the calm of someone describing weather. Because to him it is weather. The model improves. Whatever was built on the old version’s weaknesses gets washed away. That is not strategy. That is erosion. And most founders are building on the erosion line. They find a gap in the current model. They wrap a product around it. They raise money. They hire. They scale. Then OpenAI releases the next version and the gap closes and the product has no reason to exist anymore. Altman: “When we just do our fundamental job, which is make the model better with every crank, then you get the ‘OpenAI killed my startup’ meme.” He is telling you directly. They are not hunting you. They are not even thinking about you. They are just improving the model. You happen to be standing where the improvement lands. That is the part founders refuse to hear. OpenAI does not need to compete with you. It just needs to keep doing exactly what it was already doing and your entire company disappears as a side effect. You are not a competitor. You are a temporary symptom of incomplete intelligence. The moment the intelligence completes you become nothing. Then Brad Lightcap delivered the cleanest diagnostic ever spoken in venture capital. Lightcap: “Ask if a 100x improvement in the model is something they’re excited about.” One question. The entire investment thesis reduced to a single binary. Does the next model make your company more powerful or does it make your company pointless. There is no middle ground. Lightcap: “We know the companies that come to us saying, ‘We want the next model. When is it coming out? I want to be the first to try it.’” These companies built something that feeds on intelligence. The smarter the model gets the more their product can do. They are not threatened by progress. They are starving for it. Then there are the companies Lightcap never hears from. The ones who go quiet when a new model drops. The ones who read the release notes like a death sentence. The ones privately praying the next generation takes longer because every improvement shrinks the ground beneath them. If you are hoping the model stays roughly where it is you have already told the market everything it needs to know about your company. You are not building on intelligence. You are building on the absence of it. Altman: “95% of the world should be betting on the latter category.” The latter category is simple. Assume the model keeps getting better at the pace it has been getting better. Build for that world. Not the world where GPT-4 is the ceiling. The world where GPT-4 is the floor and the ceiling has not been built yet. Then Altman told a story that should be framed on the wall of every startup in the country. A medical AI company came to him that morning. They were not complaining about the model. They were not worried about being replaced. They were demanding it improve faster. Altman: “Here’s how many people are dying every day you delay.” That is what alignment with the trajectory looks like. A company so deeply built on intelligence improving that every day the model stays the same is a day someone dies who did not have to. They are not building on a flaw. They are building on a future that has not arrived fast enough. That is the difference. The wrapper startup patches what the model cannot do today. The real company builds what the model will unlock tomorrow. One is running from the train. The other is laying the track. Altman told you the train is not slowing down. Lightcap told you exactly how to know which side you are on. One question. Does a 100x smarter model make you more valuable or erase you. If you had to pause before answering you already did.
2:28

Sam Altman just handed every startup founder a one-question autopsy. Altman: “If you’re building something on GPT-4 that a reasonable observer would say we’re going to steamroll you.” Not might. Not could. Going to. He said it with the calm of someone describing weather. Because to him it is weather. The model improves. Whatever was built on the old version’s weaknesses gets washed away. That is not strategy. That is erosion. And most founders are building on the erosion line. They find a gap in the current model. They wrap a product around it. They raise money. They hire. They scale. Then OpenAI releases the next version and the gap closes and the product has no reason to exist anymore. Altman: “When we just do our fundamental job, which is make the model better with every crank, then you get the ‘OpenAI killed my startup’ meme.” He is telling you directly. They are not hunting you. They are not even thinking about you. They are just improving the model. You happen to be standing where the improvement lands. That is the part founders refuse to hear. OpenAI does not need to compete with you. It just needs to keep doing exactly what it was already doing and your entire company disappears as a side effect. You are not a competitor. You are a temporary symptom of incomplete intelligence. The moment the intelligence completes you become nothing. Then Brad Lightcap delivered the cleanest diagnostic ever spoken in venture capital. Lightcap: “Ask if a 100x improvement in the model is something they’re excited about.” One question. The entire investment thesis reduced to a single binary. Does the next model make your company more powerful or does it make your company pointless. There is no middle ground. Lightcap: “We know the companies that come to us saying, ‘We want the next model. When is it coming out? I want to be the first to try it.’” These companies built something that feeds on intelligence. The smarter the model gets the more their product can do. They are not threatened by progress. They are starving for it. Then there are the companies Lightcap never hears from. The ones who go quiet when a new model drops. The ones who read the release notes like a death sentence. The ones privately praying the next generation takes longer because every improvement shrinks the ground beneath them. If you are hoping the model stays roughly where it is you have already told the market everything it needs to know about your company. You are not building on intelligence. You are building on the absence of it. Altman: “95% of the world should be betting on the latter category.” The latter category is simple. Assume the model keeps getting better at the pace it has been getting better. Build for that world. Not the world where GPT-4 is the ceiling. The world where GPT-4 is the floor and the ceiling has not been built yet. Then Altman told a story that should be framed on the wall of every startup in the country. A medical AI company came to him that morning. They were not complaining about the model. They were not worried about being replaced. They were demanding it improve faster. Altman: “Here’s how many people are dying every day you delay.” That is what alignment with the trajectory looks like. A company so deeply built on intelligence improving that every day the model stays the same is a day someone dies who did not have to. They are not building on a flaw. They are building on a future that has not arrived fast enough. That is the difference. The wrapper startup patches what the model cannot do today. The real company builds what the model will unlock tomorrow. One is running from the train. The other is laying the track. Altman told you the train is not slowing down. Lightcap told you exactly how to know which side you are on. One question. Does a 100x smarter model make you more valuable or erase you. If you had to pause before answering you already did.

Dustin

39,109 görüntüleme • 4 ay önce

NEW APP UPDATE! 👑 Update your apps, Kings. Release 2.5.0 is now available in app stores. This update introduces the fully revamped Destiny Attack mechanic, increases game speed, fixes numerous issues/bugs, and continues to optimize & improve the first-time user experience (FTUE). Upcoming releases will focus on further FTUE enhancement for new players, and continue to introduce new features aimed at early retention and stickiness — en route to scale as we strive to become the #1 Luck Battle game in mobile, supercharged by onchain features. NEW FEATURES — 👑 Revamped Destiny Attack: We've refreshed the Destiny Attack with updated animations, lightning effects, and improved audio for more immersive battles. 👑 Destiny Attack Multipliers: Rewards are now multiplied by your Deal Multiplier. 👑 Feature Map Widget: New animated map lets players track city progress and preview upcoming unlocks directly from the play screen. 👑 Customizable End-Of-Level Reward Chests: Complete cities to unlock bonus rewards, now delivered through a sleek new chest system that evolves with the player journey. 👑 Improved Offer Popups (Phase 1): Redesigned sales & limited-time offer popups to feature smoother transitions, cleaner visuals, and a better browsing experience. IMPROVEMENTS — ⚡️ 3-Sword Attack & Destiny Attack sequences can both now be skipped with a tap. ⚡️ City completion rewards are now configurable per city for better scaling (end-of-level rewards will be updated in the near future to better reward deeper game progression). ⚡️ Badge system & Avatar images now load faster. ⚡️ Sales popups now support multiple animation styles in higher resolution. ⚡️ Improved UI responsiveness across attacks, tutorials, and reward screens. ⚡️ Reduced app size to meet further reduce load time. BUG FIXES — 🐛 Fixed a bug where autodeal wasn't working for returning players. 🐛 Fixed a bug where Destiny Attacks were only granting coin rewards for some players. Rewards are now randomized based on the attack type. 🐛 Fixed a bug where the incorrect city was being shown during Destiny Attacks for certain existing players. 🐛 Fixed numerous minor bugs causing crashes for some players. Additionally, multiple different types of live ops have resumed for players. See you in the game, Kings!
0:41

NEW APP UPDATE! 👑 Update your apps, Kings. Release 2.5.0 is now available in app stores. This update introduces the fully revamped Destiny Attack mechanic, increases game speed, fixes numerous issues/bugs, and continues to optimize & improve the first-time user experience (FTUE). Upcoming releases will focus on further FTUE enhancement for new players, and continue to introduce new features aimed at early retention and stickiness — en route to scale as we strive to become the #1 Luck Battle game in mobile, supercharged by onchain features. NEW FEATURES — 👑 Revamped Destiny Attack: We've refreshed the Destiny Attack with updated animations, lightning effects, and improved audio for more immersive battles. 👑 Destiny Attack Multipliers: Rewards are now multiplied by your Deal Multiplier. 👑 Feature Map Widget: New animated map lets players track city progress and preview upcoming unlocks directly from the play screen. 👑 Customizable End-Of-Level Reward Chests: Complete cities to unlock bonus rewards, now delivered through a sleek new chest system that evolves with the player journey. 👑 Improved Offer Popups (Phase 1): Redesigned sales & limited-time offer popups to feature smoother transitions, cleaner visuals, and a better browsing experience. IMPROVEMENTS — ⚡️ 3-Sword Attack & Destiny Attack sequences can both now be skipped with a tap. ⚡️ City completion rewards are now configurable per city for better scaling (end-of-level rewards will be updated in the near future to better reward deeper game progression). ⚡️ Badge system & Avatar images now load faster. ⚡️ Sales popups now support multiple animation styles in higher resolution. ⚡️ Improved UI responsiveness across attacks, tutorials, and reward screens. ⚡️ Reduced app size to meet further reduce load time. BUG FIXES — 🐛 Fixed a bug where autodeal wasn't working for returning players. 🐛 Fixed a bug where Destiny Attacks were only granting coin rewards for some players. Rewards are now randomized based on the attack type. 🐛 Fixed a bug where the incorrect city was being shown during Destiny Attacks for certain existing players. 🐛 Fixed numerous minor bugs causing crashes for some players. Additionally, multiple different types of live ops have resumed for players. See you in the game, Kings!

King Of Destiny 👑

17,279 görüntüleme • 1 yıl önce

Westerners Flocking to Play Stunning New Chinese Video Game—and Skipping ‘Spyware’ Warnings . CHINESE DESIGNERS JUST LAUNCHED another video game which is a hit worldwide. Where Winds Meet has some spectacular battle scenes on screen -- but the conflicts off-stage (west-east culture wars, psyops, business battles) are just as interesting. People in the game industry in the west are concerned—for several good reasons. Before we get there, take 20 seconds to check out the great-looking visuals, which come from the same studio that created Black Myth Wukong, a globally popular game launched in August 2024, based on the story of the Monkey King. Where Winds Meet also celebrates classic Chinese culture. It is set in the city of Kaifeng in 10th century China – and is filled with gorgeous images of that place. . CULTURAL DEPTH It has cultural depth, too. For example, everyone knows fireworks are an ancient Chinese art, but the game features molten metal spark showers, a popular art form pretty unknown outside China. In one scene you can see the flying apsaras, those Indian-influenced airborne women whose images adorn the ancient Dunhuang Caves on the silk road. Where Winds Meet is already among the favorites on Steam, the world’s biggest online game center. It includes many battles, of course. But there are related conflicts off line, in real life, too. . NUMBER ONE: CULTURE WARS. In many games released in the west, it is considered wrong to give players the choice of having a male or female character, because it implies there are just two sexes, which is a big no-no in the west. In Where the Winds Meet, players who opt for English language follow the western model, and are given the choice of Body Type I or Body Type II, no mention of forbidden words “male” and “female”. But players who opt for the Chinese version are given the choice of male or female. Trying to keep everyone happy! . NUMBER 2. HYBRID WARS, OR PSYOPS. From the moment the game came out, mysterious persons “revealed” that the game was made by Chinese people so it was a security threat, riddled with spyware. You can imagine them thinking that their gameplay information was being transmitted straight to Xi Jinping’s office! “Hmm. This incel sitting in a basement in his mother’s house prefers body type 2! Write that down, comrades.” But here’s the twist. Everybody ignored the warnings. By the end of the first day, people had played the game two million times, and that’s just the new version, the non-Chinese one. . NUMBER THREE: THE BUSINESS BATTLE The US groups which normally dominate the field, like Ubisoft, have repeatedly reported disappointing results recently. And some of the biggest recent hits have been from outside America. Black Myth Wukong was from China’s NetEase, Expedition 33 was from France, and this new game, Where Winds Meet, is also from NetEase. A popular video game reviewer called Hypnotic lamented the poor quality of games from the west—with the players blaming the designers and the designers blaming the players. “The east ends up releasing video games that end up blowing the doors down whenever they release,” he said. “And then you end up getting developers from the west that'll make up all kinds of excuses as to why these games are successful. They'll call it slop. They'll call it Chinese spyware. They'll call it whatever they want. But at the end of the day, at least somebody is trying to put out video games that players actually want, that isn't just indie developers.” . FIELD IS OPEN Now this does NOT mean that games from the east are uniformly taking over the global game industry. The west is still putting out some great games, with Expedition 33 being a good example. What it does mean is that China is catching up fast. We’ve seen this happening in many sectors. And as long as there’s a level playing field, it ultimately means that people get more choice. . A FAIRER, SAFER WORLD But more importantly than that, it gives people around the world a different image of China. The western mainstream media tends to create an image of China as an evil tech dystopia, sometimes literally describing it as a giant gulag. Games like this one show it to be community of creative people, producing fun products, and a place with a rich culture and an amazing history. The result, we hope, will be a fairer world – and a fairer world is a safer world.
4:57

Westerners Flocking to Play Stunning New Chinese Video Game—and Skipping ‘Spyware’ Warnings . CHINESE DESIGNERS JUST LAUNCHED another video game which is a hit worldwide. Where Winds Meet has some spectacular battle scenes on screen -- but the conflicts off-stage (west-east culture wars, psyops, business battles) are just as interesting. People in the game industry in the west are concerned—for several good reasons. Before we get there, take 20 seconds to check out the great-looking visuals, which come from the same studio that created Black Myth Wukong, a globally popular game launched in August 2024, based on the story of the Monkey King. Where Winds Meet also celebrates classic Chinese culture. It is set in the city of Kaifeng in 10th century China – and is filled with gorgeous images of that place. . CULTURAL DEPTH It has cultural depth, too. For example, everyone knows fireworks are an ancient Chinese art, but the game features molten metal spark showers, a popular art form pretty unknown outside China. In one scene you can see the flying apsaras, those Indian-influenced airborne women whose images adorn the ancient Dunhuang Caves on the silk road. Where Winds Meet is already among the favorites on Steam, the world’s biggest online game center. It includes many battles, of course. But there are related conflicts off line, in real life, too. . NUMBER ONE: CULTURE WARS. In many games released in the west, it is considered wrong to give players the choice of having a male or female character, because it implies there are just two sexes, which is a big no-no in the west. In Where the Winds Meet, players who opt for English language follow the western model, and are given the choice of Body Type I or Body Type II, no mention of forbidden words “male” and “female”. But players who opt for the Chinese version are given the choice of male or female. Trying to keep everyone happy! . NUMBER 2. HYBRID WARS, OR PSYOPS. From the moment the game came out, mysterious persons “revealed” that the game was made by Chinese people so it was a security threat, riddled with spyware. You can imagine them thinking that their gameplay information was being transmitted straight to Xi Jinping’s office! “Hmm. This incel sitting in a basement in his mother’s house prefers body type 2! Write that down, comrades.” But here’s the twist. Everybody ignored the warnings. By the end of the first day, people had played the game two million times, and that’s just the new version, the non-Chinese one. . NUMBER THREE: THE BUSINESS BATTLE The US groups which normally dominate the field, like Ubisoft, have repeatedly reported disappointing results recently. And some of the biggest recent hits have been from outside America. Black Myth Wukong was from China’s NetEase, Expedition 33 was from France, and this new game, Where Winds Meet, is also from NetEase. A popular video game reviewer called Hypnotic lamented the poor quality of games from the west—with the players blaming the designers and the designers blaming the players. “The east ends up releasing video games that end up blowing the doors down whenever they release,” he said. “And then you end up getting developers from the west that'll make up all kinds of excuses as to why these games are successful. They'll call it slop. They'll call it Chinese spyware. They'll call it whatever they want. But at the end of the day, at least somebody is trying to put out video games that players actually want, that isn't just indie developers.” . FIELD IS OPEN Now this does NOT mean that games from the east are uniformly taking over the global game industry. The west is still putting out some great games, with Expedition 33 being a good example. What it does mean is that China is catching up fast. We’ve seen this happening in many sectors. And as long as there’s a level playing field, it ultimately means that people get more choice. . A FAIRER, SAFER WORLD But more importantly than that, it gives people around the world a different image of China. The western mainstream media tends to create an image of China as an evil tech dystopia, sometimes literally describing it as a giant gulag. Games like this one show it to be community of creative people, producing fun products, and a place with a rich culture and an amazing history. The result, we hope, will be a fairer world – and a fairer world is a safer world.

Nury Vittachi

49,389 görüntüleme • 8 ay önce

Jordan Peterson: "If you can't fix your room, you can't fix your life" "Why should you even bother improving yourself? The answer is something like: so you don't suffer anymore stupidly than you have to. And maybe so others don't have to either. It's not some casual self-help doctrine. If you don't organize yourself properly, you'll pay for it. In a big way. And so will the people around you." Peterson continues: "You can say, 'Well, I don't care about that.' But that's actually not true, you do care about it. Because if you're in pain, you will care about it. It's very rare that you can find someone in excruciating pain who would say, 'Well, it would be no better if I was out of this.' Pain brings the idea that it would be better if it didn't exist along with it. It's incontrovertible." On how to start: "Look around for something that bothers you and see if you can fix it. You can do this in a room. Sit in your bedroom and think: 'If I wanted to spend ten minutes making this room better, what would I have to do?' You have to ask yourself that, it's a genuine question. And things will pop out. There's a stack of papers bugging you. Some rubbish behind your computer monitor you haven't attended to for six months. Cables tangled up." He explains why this matters: "If you were coming to see me for psychotherapy, the easiest thing would be to get you to organize your room. You think, is that psychotherapy? It depends on how you conceive the limits of your being. Start where you can start. If something announces itself as in need of repair that you could repair, fix it. Fix a hundred things like that, your life will be a lot different." On fixing what you repeat every day: "People tend to think of their daily routines as trivial. You get up, brush your teeth, have breakfast. Those probably constitute 50% of your life. People think, they're mundane, I don't need to pay attention to them. No, that's exactly wrong. The things you do every day are the most important things you do. Hands down. Just do the arithmetic." On staying within your competence: "Sometimes you don't know how to fix something. Imagine you're walking down the street and there's a guy who's alcoholic and schizophrenic and has been homeless for ten years. That's a problem. It would be good if you could fix it, but you haven't got a clue. You walk around that and go find something you could fix. Just because something announces itself as in need of repair doesn't mean it's you, right then and there, who should repair it. You have to have some humility. You don't walk up to a helicopter that isn't working and just start tinkering away." Peterson shares the key insight: "As soon as you give your mind a genuine aim, it'll reconfigure the world in keeping with that aim. That's actually how you see to begin with. You've all seen the video where you watch basketballs being tossed back and forth, and while you're doing that, a gorilla walks into the middle of the video and you don't see it. If you thought about that experiment for five years, that would be about the right amount of time to spend thinking about it." He explains what it reveals: "What it shows you is that you see what you aim at. If you can get one thing through your head, that would be a good one. You see what you aim at. One inference you might draw from that is: be careful what you aim at. What you aim at determines the way the world manifests itself to you. So if the world is manifesting itself in a very negative way, one thing to ask is: are you aiming at the right thing?"
6:59

Jordan Peterson: "If you can't fix your room, you can't fix your life" "Why should you even bother improving yourself? The answer is something like: so you don't suffer anymore stupidly than you have to. And maybe so others don't have to either. It's not some casual self-help doctrine. If you don't organize yourself properly, you'll pay for it. In a big way. And so will the people around you." Peterson continues: "You can say, 'Well, I don't care about that.' But that's actually not true, you do care about it. Because if you're in pain, you will care about it. It's very rare that you can find someone in excruciating pain who would say, 'Well, it would be no better if I was out of this.' Pain brings the idea that it would be better if it didn't exist along with it. It's incontrovertible." On how to start: "Look around for something that bothers you and see if you can fix it. You can do this in a room. Sit in your bedroom and think: 'If I wanted to spend ten minutes making this room better, what would I have to do?' You have to ask yourself that, it's a genuine question. And things will pop out. There's a stack of papers bugging you. Some rubbish behind your computer monitor you haven't attended to for six months. Cables tangled up." He explains why this matters: "If you were coming to see me for psychotherapy, the easiest thing would be to get you to organize your room. You think, is that psychotherapy? It depends on how you conceive the limits of your being. Start where you can start. If something announces itself as in need of repair that you could repair, fix it. Fix a hundred things like that, your life will be a lot different." On fixing what you repeat every day: "People tend to think of their daily routines as trivial. You get up, brush your teeth, have breakfast. Those probably constitute 50% of your life. People think, they're mundane, I don't need to pay attention to them. No, that's exactly wrong. The things you do every day are the most important things you do. Hands down. Just do the arithmetic." On staying within your competence: "Sometimes you don't know how to fix something. Imagine you're walking down the street and there's a guy who's alcoholic and schizophrenic and has been homeless for ten years. That's a problem. It would be good if you could fix it, but you haven't got a clue. You walk around that and go find something you could fix. Just because something announces itself as in need of repair doesn't mean it's you, right then and there, who should repair it. You have to have some humility. You don't walk up to a helicopter that isn't working and just start tinkering away." Peterson shares the key insight: "As soon as you give your mind a genuine aim, it'll reconfigure the world in keeping with that aim. That's actually how you see to begin with. You've all seen the video where you watch basketballs being tossed back and forth, and while you're doing that, a gorilla walks into the middle of the video and you don't see it. If you thought about that experiment for five years, that would be about the right amount of time to spend thinking about it." He explains what it reveals: "What it shows you is that you see what you aim at. If you can get one thing through your head, that would be a good one. You see what you aim at. One inference you might draw from that is: be careful what you aim at. What you aim at determines the way the world manifests itself to you. So if the world is manifesting itself in a very negative way, one thing to ask is: are you aiming at the right thing?"

Jaynit

68,799 görüntüleme • 4 ay önce

I Built a 37.0 Profit Factor Bot by Cracking Every TradingView Source Code tradingview is a gold mine hiding in plain sight and i just found the master key to unlock every single secret hidden within its community scripts. most traders spend their entire lives staring at candles and hoping for a miracle while the actual alpha is buried in the open source code that nobody bothers to look at. i used to be that guy who sat there getting liquidated at three in the morning because i thought i could outplay the market with my gut feeling and some drawings on a screen. it turns out that the game is completely rigged against you if you are trading manually but there is a specific way to flip the script. i am going to show you how to stop guessing and start knowing exactly what works across every possible market condition before you ever risk a single dollar. i spent years losing money and thousands on developers because i thought i was not smart enough to code the systems myself but i was wrong. the first step to cracking the market is realizing that every indicator on the super charts has a source code section that is completely open to the public. you can literally scroll through the community scripts and pull the exact logic for thousands of different strategies that people claim are the holy grail of trading. but the secret is not just having the code because most of these indicators are actually garbage that will blow your account up in a week. this is where the real loop opens because you need a way to test these ideas across twenty five different data sets in seconds rather than months. i use a custom setup with ai agents specifically a sub agent i call the backtest architect to handle the heavy lifting of turning pine script into python code. the goal is to create a factory where you can feed in a raw indicator and get back a full report on its expectancy and profit factor without lifting a finger. most people find one strategy and marry it for life but a real data dog knows that you have to iterate to success or you will get left behind. i am running eighty one different backtests right now because i know that ninety percent of what i find will be trash but that remaining ten percent is where the wealth is made. the backtest architect knows exactly how to structure the folders and data paths so that we are testing everything from the base indicator to complex versions with filters. you might think that popular tools like fibonacci or order blocks are the way to go because everyone on social media talks about them like they are law. but when i actually ran the numbers through the machine the results were embarrassing and most of those strategies just resulted in negative expectancy. it is a dangerous trap to follow the crowd into a trade just because some guru said a certain level was important when the data shows it is a coin flip at best. the dynamic swing indicator was one of the few that actually held its weight during the recent massive testing sessions we ran. it was pulling in profit factors of over thirty seven with annualized returns that look too good to be true until you see the trade list. we combined it with filters like the adx and the money flow index to see if we could refine the signals and the results were absolutely staggering. when you have a system that can run through forty data sets while you are drinking tea you realize that manual trading is a form of self harm. i realized this after spending hundreds of thousands on apps and devs only to find out that i could just learn to build these bots myself live on the internet. the speed of iteration is the only thing that matters in this game because the faster you can fail the faster you can find the one strategy that actually prints. one of the biggest hurdles i faced was thinking that i needed to be a math genius or a senior engineer to automate my trading systems. the truth is that code is the great equalizer because it allows a regular person to compete with massive hedge funds by using the same logic and speed. i decided to learn everything in public because i wanted people to see the process of losing money with liquidations and then finally finding a path to automation. the reality of the market is that it moves in cycles and what worked yesterday will almost certainly fail tomorrow unless you are constantly testing. that is why i built the agents to automatically look through the results folder and rank the top performers based on a composite score. it takes all the emotion out of the process because i am no longer looking for a reason to enter a trade i am just looking at a csv file that tells me the truth. if you are still drawing lines on a chart and hoping for the best you are basically playing a game of chance against a high speed casino. the transition from a manual trader to a systems builder is the single most important pivot you will ever make in your life. it is not about being right or wrong it is about having a positive expectancy that has been proven across thousands of trades and multiple years of history. i had to fix a few errors in the short selling logic where the agents were getting confused between maximum and minimum values for take profit levels. these tiny bugs are the difference between a winning system and a blown account so you have to be willing to dive into the code and refine the machine. but once the system is tuned and the sub agents are running it becomes a beautiful workflow that functions entirely without your input. we are currently moving through the editors picks and the trending indicators one by one because i want to have a database of every single strategy on the platform. being a data dog means you never stop searching for that edge and you never settle for a strategy that just looks okay on a single chart. you have to demand excellence from your code because the market will not give you a single inch of mercy if you are lazy with your research. the ultimate goal is to have fully automated systems trading for you so you can focus on scaling rather than staring at a screen for ten hours a day. i am already up to over eighty backtests in this single session and i plan on hitting hundreds more by the end of the week. once you realize that you can crack the code of any indicator you see on the internet you will never look at a chart the same way again. this is the power of using agents to bridge the gap between a raw idea and a finished trading bot that actually works in the real world. i am done with getting liquidated and i am done with the stress of over trading because the code handles everything with cold precision. the path to success is paved with data and if you are not willing to automate your process you are just waiting for your next liquidation to happen
49:49

I Built a 37.0 Profit Factor Bot by Cracking Every TradingView Source Code tradingview is a gold mine hiding in plain sight and i just found the master key to unlock every single secret hidden within its community scripts. most traders spend their entire lives staring at candles and hoping for a miracle while the actual alpha is buried in the open source code that nobody bothers to look at. i used to be that guy who sat there getting liquidated at three in the morning because i thought i could outplay the market with my gut feeling and some drawings on a screen. it turns out that the game is completely rigged against you if you are trading manually but there is a specific way to flip the script. i am going to show you how to stop guessing and start knowing exactly what works across every possible market condition before you ever risk a single dollar. i spent years losing money and thousands on developers because i thought i was not smart enough to code the systems myself but i was wrong. the first step to cracking the market is realizing that every indicator on the super charts has a source code section that is completely open to the public. you can literally scroll through the community scripts and pull the exact logic for thousands of different strategies that people claim are the holy grail of trading. but the secret is not just having the code because most of these indicators are actually garbage that will blow your account up in a week. this is where the real loop opens because you need a way to test these ideas across twenty five different data sets in seconds rather than months. i use a custom setup with ai agents specifically a sub agent i call the backtest architect to handle the heavy lifting of turning pine script into python code. the goal is to create a factory where you can feed in a raw indicator and get back a full report on its expectancy and profit factor without lifting a finger. most people find one strategy and marry it for life but a real data dog knows that you have to iterate to success or you will get left behind. i am running eighty one different backtests right now because i know that ninety percent of what i find will be trash but that remaining ten percent is where the wealth is made. the backtest architect knows exactly how to structure the folders and data paths so that we are testing everything from the base indicator to complex versions with filters. you might think that popular tools like fibonacci or order blocks are the way to go because everyone on social media talks about them like they are law. but when i actually ran the numbers through the machine the results were embarrassing and most of those strategies just resulted in negative expectancy. it is a dangerous trap to follow the crowd into a trade just because some guru said a certain level was important when the data shows it is a coin flip at best. the dynamic swing indicator was one of the few that actually held its weight during the recent massive testing sessions we ran. it was pulling in profit factors of over thirty seven with annualized returns that look too good to be true until you see the trade list. we combined it with filters like the adx and the money flow index to see if we could refine the signals and the results were absolutely staggering. when you have a system that can run through forty data sets while you are drinking tea you realize that manual trading is a form of self harm. i realized this after spending hundreds of thousands on apps and devs only to find out that i could just learn to build these bots myself live on the internet. the speed of iteration is the only thing that matters in this game because the faster you can fail the faster you can find the one strategy that actually prints. one of the biggest hurdles i faced was thinking that i needed to be a math genius or a senior engineer to automate my trading systems. the truth is that code is the great equalizer because it allows a regular person to compete with massive hedge funds by using the same logic and speed. i decided to learn everything in public because i wanted people to see the process of losing money with liquidations and then finally finding a path to automation. the reality of the market is that it moves in cycles and what worked yesterday will almost certainly fail tomorrow unless you are constantly testing. that is why i built the agents to automatically look through the results folder and rank the top performers based on a composite score. it takes all the emotion out of the process because i am no longer looking for a reason to enter a trade i am just looking at a csv file that tells me the truth. if you are still drawing lines on a chart and hoping for the best you are basically playing a game of chance against a high speed casino. the transition from a manual trader to a systems builder is the single most important pivot you will ever make in your life. it is not about being right or wrong it is about having a positive expectancy that has been proven across thousands of trades and multiple years of history. i had to fix a few errors in the short selling logic where the agents were getting confused between maximum and minimum values for take profit levels. these tiny bugs are the difference between a winning system and a blown account so you have to be willing to dive into the code and refine the machine. but once the system is tuned and the sub agents are running it becomes a beautiful workflow that functions entirely without your input. we are currently moving through the editors picks and the trending indicators one by one because i want to have a database of every single strategy on the platform. being a data dog means you never stop searching for that edge and you never settle for a strategy that just looks okay on a single chart. you have to demand excellence from your code because the market will not give you a single inch of mercy if you are lazy with your research. the ultimate goal is to have fully automated systems trading for you so you can focus on scaling rather than staring at a screen for ten hours a day. i am already up to over eighty backtests in this single session and i plan on hitting hundreds more by the end of the week. once you realize that you can crack the code of any indicator you see on the internet you will never look at a chart the same way again. this is the power of using agents to bridge the gap between a raw idea and a finished trading bot that actually works in the real world. i am done with getting liquidated and i am done with the stress of over trading because the code handles everything with cold precision. the path to success is paved with data and if you are not willing to automate your process you are just waiting for your next liquidation to happen

Moon Dev

26,010 görüntüleme • 5 ay önce

Congratulations ZackeryFox🌏2️⃣👽 for your 2D concept art submission our team then took & brought to life in 3D for #Earth2🌍✌️This skin took longer given the detail & quality of the modelling but was definitely worth it! Read below for more important details & updates: The first variations of #CybercoreX will drop in about 8 hours. As mentioned in the article when we first started releasing skins, after #E2V1 officially launches we will be cutting back on #LimitedEdition skins & will predominantly focus on unlimited skins. In some cases these future unlimited skins will not be available for resale. This was always the plan as these early #LimitedEdition skins were released especially for early supporters. We will still release #LimitedEditions from time to time, but if & when we do so it will be at higher prices - which has also been mentioned numerous times in the past but I am just providing this as a reminder. I think we have 2-3 Limited Edition skins remaining before we transition into the standard skin system with unlimited skins & periodic availability - so there are not many left and these final Limited Edition drops will contain a few more rarer variations. #CybercoreX took a lot of additional work & team members strongly suggested the skin should be sold at a premium price, however I decided to keep the pricing in line with the other pre-#E2V1 Limited Edition releases. It is also important to note that as with many of the other Limited Edition skin releases with guns, the assault rifle & pistol will be sold separately. I'd also like to provide a quick update on the #E2V1 public release. The results from the initial testing group have been good so far, there are some issues we are working on fixing but nothing major. Considering it was our very first ever software release of the #Earth2 Launcher AND #E2V1, anyone with real experience releasing major software products would agree it went very smooth. Some #Players downloaded the launcher and were inside #E2V1 within 20 mins without any issues! You have major game or software developers releasing products after decades of experience & a million things go wrong .. often simple things .. our release was the dream type scenario & a real testament to our teams dedication, talent & ability! I'd like to include the option to spawn #avatars for the pre-alpha public release. The team has implemented the majority of this system with a few things remaining, which are actively being worked on at present. I just want to be clear that this NOT the avatar spawn system you have seen in demo videos to date where we just randomly spawn an avatar anywhere, that is simple & we could easily release that specific feature but it was only for demo purposes to showcase avatars can spawn anywhere in the world. To be transparent, what we are working to release now is the actual avatar spawn system intended for long term use where Players need to synthesise their #avatar from their #Mentar on their property to begin its actual life inside #E2V1. It's important to point out this involves numerous API integration, UI/UX updates and is not a simple random spawn. We anticipate there will almost surely be a number of potential bugs with this release so the plan is to first have it released to testers (WITH BUGS EXPECTED!) then stabilise & prepare for the public #E2V1 release. If you see people publishing footage of bugs online, remember we are in pre-alpha which we released to testers less than a month ago & testers are there to help us test and find issues we need to resolve. Our team is committed to fixing any major problems as they arise to improve the platform and keep moving forward. We should have avatars into the hands of testers this week. Remember, once you are inside your avatar you will not have that free camera flying ability. This makes teleportation very important for #Players who want to travel to different locations. So we will also need to start testing the teleportation system, and there is some potentially exciting news I have been keeping close to my chest which will soon be revealed. As always, thanks for your patience and support! Remember, we are literally less than one month since releasing #E2V1 to testers (less than a month ago there were still those who claimed we pre-rendered everything) so these are still early days! It may feel a little slow at first but we plan to release things to do inside of #E2V1 progressively and before you know it there will be too much to do! #Earth2 #Metaverse #E2V1
3:47

Congratulations ZackeryFox🌏2️⃣👽 for your 2D concept art submission our team then took & brought to life in 3D for #Earth2🌍✌️This skin took longer given the detail & quality of the modelling but was definitely worth it! Read below for more important details & updates: The first variations of #CybercoreX will drop in about 8 hours. As mentioned in the article when we first started releasing skins, after #E2V1 officially launches we will be cutting back on #LimitedEdition skins & will predominantly focus on unlimited skins. In some cases these future unlimited skins will not be available for resale. This was always the plan as these early #LimitedEdition skins were released especially for early supporters. We will still release #LimitedEditions from time to time, but if & when we do so it will be at higher prices - which has also been mentioned numerous times in the past but I am just providing this as a reminder. I think we have 2-3 Limited Edition skins remaining before we transition into the standard skin system with unlimited skins & periodic availability - so there are not many left and these final Limited Edition drops will contain a few more rarer variations. #CybercoreX took a lot of additional work & team members strongly suggested the skin should be sold at a premium price, however I decided to keep the pricing in line with the other pre-#E2V1 Limited Edition releases. It is also important to note that as with many of the other Limited Edition skin releases with guns, the assault rifle & pistol will be sold separately. I'd also like to provide a quick update on the #E2V1 public release. The results from the initial testing group have been good so far, there are some issues we are working on fixing but nothing major. Considering it was our very first ever software release of the #Earth2 Launcher AND #E2V1, anyone with real experience releasing major software products would agree it went very smooth. Some #Players downloaded the launcher and were inside #E2V1 within 20 mins without any issues! You have major game or software developers releasing products after decades of experience & a million things go wrong .. often simple things .. our release was the dream type scenario & a real testament to our teams dedication, talent & ability! I'd like to include the option to spawn #avatars for the pre-alpha public release. The team has implemented the majority of this system with a few things remaining, which are actively being worked on at present. I just want to be clear that this NOT the avatar spawn system you have seen in demo videos to date where we just randomly spawn an avatar anywhere, that is simple & we could easily release that specific feature but it was only for demo purposes to showcase avatars can spawn anywhere in the world. To be transparent, what we are working to release now is the actual avatar spawn system intended for long term use where Players need to synthesise their #avatar from their #Mentar on their property to begin its actual life inside #E2V1. It's important to point out this involves numerous API integration, UI/UX updates and is not a simple random spawn. We anticipate there will almost surely be a number of potential bugs with this release so the plan is to first have it released to testers (WITH BUGS EXPECTED!) then stabilise & prepare for the public #E2V1 release. If you see people publishing footage of bugs online, remember we are in pre-alpha which we released to testers less than a month ago & testers are there to help us test and find issues we need to resolve. Our team is committed to fixing any major problems as they arise to improve the platform and keep moving forward. We should have avatars into the hands of testers this week. Remember, once you are inside your avatar you will not have that free camera flying ability. This makes teleportation very important for #Players who want to travel to different locations. So we will also need to start testing the teleportation system, and there is some potentially exciting news I have been keeping close to my chest which will soon be revealed. As always, thanks for your patience and support! Remember, we are literally less than one month since releasing #E2V1 to testers (less than a month ago there were still those who claimed we pre-rendered everything) so these are still early days! It may feel a little slow at first but we plan to release things to do inside of #E2V1 progressively and before you know it there will be too much to do! #Earth2 #Metaverse #E2V1

Shane Isaac 🌍2️⃣

14,113 görüntüleme • 1 yıl önce

📢 New a16z request for startups: a new generation of rule-breaking gamemakers 📢 One of my biggest takeaways from 15 years of building games: the cardinal rule of game develop is that there are no permanent rules of game development! Platforms change. Player preferences shift. Technology and tools evolve. The only constant is that great games require creativity, craft, and passion. Consider some “rules” that have already been broken: - "Game experiences should be unified across the player base." This was overturned when Zynga and other social gaming pioneers began A/B testing different versions of their games. The result? More optimized, engaging experiences that ultimately benefited all players. - "Showing ads will hurt monetization." Playrix and others proved the opposite: rewarded video ads not only improved monetization but also increased retention, giving players a way to access premium content without spending money. We believe many more “rules” will be broken in the AI era—and we’re excited to back the founders who will break them. Here are just a few conventions we expect to see challenged: 1. “World-building should be uniform and consistent.” Traditionally, a consistent game world and lore have been seen as essential for strengthening IP and building enduring franchises. But what if a player wants to explore their favorite parts of a world in their own way? With AI, imaginative developers can create adaptable game worlds that players can shape—unlocking endless, personalized storylines and experiences. 2. “Don’t try to ship a game without a complete team.” Game development has historically required a multi-disciplinary team across art, design, engineering, and production. But AI-assisted tools are making it increasingly feasible for smaller teams—or even solo developers—to build compelling games. If that trend continues, what skills will matter most? We believe the most irreplaceable ones are tied to storytelling: visual style, dialogue, tone, and narrative structure. These and many other longstanding assumptions are becoming increasingly fragile as AI tools improve at a breakneck pace. If you're building infinitely adaptive games, pioneering as a solo super-storyteller, or simply believe that the next great games won’t look anything like the ones we make today—apply to Speedrun. We’d love to meet you and help support the next generation of rule-breaking gamemakers.
1:38

📢 New a16z request for startups: a new generation of rule-breaking gamemakers 📢 One of my biggest takeaways from 15 years of building games: the cardinal rule of game develop is that there are no permanent rules of game development! Platforms change. Player preferences shift. Technology and tools evolve. The only constant is that great games require creativity, craft, and passion. Consider some “rules” that have already been broken: - "Game experiences should be unified across the player base." This was overturned when Zynga and other social gaming pioneers began A/B testing different versions of their games. The result? More optimized, engaging experiences that ultimately benefited all players. - "Showing ads will hurt monetization." Playrix and others proved the opposite: rewarded video ads not only improved monetization but also increased retention, giving players a way to access premium content without spending money. We believe many more “rules” will be broken in the AI era—and we’re excited to back the founders who will break them. Here are just a few conventions we expect to see challenged: 1. “World-building should be uniform and consistent.” Traditionally, a consistent game world and lore have been seen as essential for strengthening IP and building enduring franchises. But what if a player wants to explore their favorite parts of a world in their own way? With AI, imaginative developers can create adaptable game worlds that players can shape—unlocking endless, personalized storylines and experiences. 2. “Don’t try to ship a game without a complete team.” Game development has historically required a multi-disciplinary team across art, design, engineering, and production. But AI-assisted tools are making it increasingly feasible for smaller teams—or even solo developers—to build compelling games. If that trend continues, what skills will matter most? We believe the most irreplaceable ones are tied to storytelling: visual style, dialogue, tone, and narrative structure. These and many other longstanding assumptions are becoming increasingly fragile as AI tools improve at a breakneck pace. If you're building infinitely adaptive games, pioneering as a solo super-storyteller, or simply believe that the next great games won’t look anything like the ones we make today—apply to Speedrun. We’d love to meet you and help support the next generation of rule-breaking gamemakers.

Josh Lu

30,338 görüntüleme • 1 yıl önce

I Spent $100k On Developers Before Learning This: Build Your AI Bot Today the blueprint to building your first ai trading bot without a degree or a single clue where to start is hidden in plain sight. most people think you need a stanford degree or some crazy math background to build these systems but i spent ten years in tech scared to code for that exact reason. i thought it was only for the geniuses and the nerds while i was just a guy who played video games and wanted his time back the reality is that code is the great equalizer because it doesn't care who you are or where you came from. i lost hundreds of thousands of dollars hiring developers who did shoddy work and i lost even more through liquidations and over trading because i was too emotional to follow my own rules. i knew i had to automate everything if i wanted to survive this game so i decided to learn live on youtube and iterate my way to success everyone is looking for the holy grail indicator that prints money while they sleep but they are looking in the wrong place. the real secret isn't a magical line on a chart but a process i call the rbi system which stands for research backtest and implement. most traders fail because they try to build a bot before they even know if their strategy worked in the past which is basically just gambling with extra steps you have to start with deep research into a strategy like supply and demand zones where you buy where the banks buy and sell where they sell. once you have a solid idea you must backtest it against years of data to see if it actually has an edge. if it doesn't work in the past it definitely won't work in the future but if it shows promise then you move to the implementation phase with small size there is a hidden cost to automation that can wipe out your profits before you even place a trade if you aren't careful. i found myself overusing api credits and running up a massive bill just to fetch wallet balances and token lists. if your bot is calling the exchange every five seconds just to see how much money you have you are essentially burning cash for no reason you can use ai tools like cursor to help you write the python code even if you are a total beginner. i still use ai to explain complex functions and identify where my code is being inefficient or chewing through credits. i had to refactor my entire dashboard and timer logic to only check balances every thirty minutes instead of every few seconds to save those precious credits the man who made thirty one billion dollars in the markets had one rule he never broke throughout his entire career. jim simons was the greatest algorithmic trader to ever live and he proved that systems will always beat human intuition over a long enough timeline. his secret wasn't some complex formula that no one else could understand but a commitment to a specific way of thinking simons always said you just have to make your systems better and better because that is what everyone else is trying to do. the game never really ends because the markets are always evolving and your edge will eventually decay if you don't iterate. this is why i build in public and show every step of the process because the iteration is where the actual money is made the reason you get liquidated isn't the market or the whales or some conspiracy against your small account. the real reason is the conversation you have with yourself at two in the morning when you are down on a trade and decide to move your stop loss. humans are built for survival not for trading and our emotions like fomo and fear will always sabotage our results when you automate your trading you are essentially signing a non negotiable contract with yourself that the bot will execute without question. if the plan says to sell fifty percent in an uptrend and ninety five percent in a downtrend the bot does it every single time. it doesn't feel the panic when a red candle drops or the greed when a green one spikes it just follows the code i used to spend all day staring at screens chasing bars up and down thinking that more screen time equaled more profit. i got into trading to get my time back but i ended up becoming a slave to the charts until i finally learned to code. now i have fully automated systems trading for me instead of getting liquidated because i removed the weakest link in the system which was me you don't need to spend ten years learning how to code before you can start building your own trading bots. if you spend three to six months getting the gist of python and using ai to bridge the gap you can start building immediately. start with a simple supply and demand bot that looks for major coin trends and only enters when the odds are heavily in your favor by checking the trend of bitcoin ethereum and solana simultaneously you can ensure you aren't fighting the overall market direction. i look for at least two out of those three to be trending before my bot is even allowed to look for an entry. this simple filter alone can save you from thousands of dollars in paper cuts during choppy sideways markets if you can't fly then run and if you can't run then walk but by all means you must keep moving toward automation. the process of taking an idea out of your brain and putting it into a system is the most secretive and valuable skill in the world. don't follow the pack and try to solve the same problems as everyone else but find your own edge and code it into existence the deal you make with yourself at the start of your journey is what determines if you will actually make it or not. i made a contract with myself to learn live and show everything because i believe that transparency is the only way to truly learn this craft. stick to your plan and iterate every single day because the systems you build today are the equalizers that will change your life tomorrow
50:50

I Spent $100k On Developers Before Learning This: Build Your AI Bot Today the blueprint to building your first ai trading bot without a degree or a single clue where to start is hidden in plain sight. most people think you need a stanford degree or some crazy math background to build these systems but i spent ten years in tech scared to code for that exact reason. i thought it was only for the geniuses and the nerds while i was just a guy who played video games and wanted his time back the reality is that code is the great equalizer because it doesn't care who you are or where you came from. i lost hundreds of thousands of dollars hiring developers who did shoddy work and i lost even more through liquidations and over trading because i was too emotional to follow my own rules. i knew i had to automate everything if i wanted to survive this game so i decided to learn live on youtube and iterate my way to success everyone is looking for the holy grail indicator that prints money while they sleep but they are looking in the wrong place. the real secret isn't a magical line on a chart but a process i call the rbi system which stands for research backtest and implement. most traders fail because they try to build a bot before they even know if their strategy worked in the past which is basically just gambling with extra steps you have to start with deep research into a strategy like supply and demand zones where you buy where the banks buy and sell where they sell. once you have a solid idea you must backtest it against years of data to see if it actually has an edge. if it doesn't work in the past it definitely won't work in the future but if it shows promise then you move to the implementation phase with small size there is a hidden cost to automation that can wipe out your profits before you even place a trade if you aren't careful. i found myself overusing api credits and running up a massive bill just to fetch wallet balances and token lists. if your bot is calling the exchange every five seconds just to see how much money you have you are essentially burning cash for no reason you can use ai tools like cursor to help you write the python code even if you are a total beginner. i still use ai to explain complex functions and identify where my code is being inefficient or chewing through credits. i had to refactor my entire dashboard and timer logic to only check balances every thirty minutes instead of every few seconds to save those precious credits the man who made thirty one billion dollars in the markets had one rule he never broke throughout his entire career. jim simons was the greatest algorithmic trader to ever live and he proved that systems will always beat human intuition over a long enough timeline. his secret wasn't some complex formula that no one else could understand but a commitment to a specific way of thinking simons always said you just have to make your systems better and better because that is what everyone else is trying to do. the game never really ends because the markets are always evolving and your edge will eventually decay if you don't iterate. this is why i build in public and show every step of the process because the iteration is where the actual money is made the reason you get liquidated isn't the market or the whales or some conspiracy against your small account. the real reason is the conversation you have with yourself at two in the morning when you are down on a trade and decide to move your stop loss. humans are built for survival not for trading and our emotions like fomo and fear will always sabotage our results when you automate your trading you are essentially signing a non negotiable contract with yourself that the bot will execute without question. if the plan says to sell fifty percent in an uptrend and ninety five percent in a downtrend the bot does it every single time. it doesn't feel the panic when a red candle drops or the greed when a green one spikes it just follows the code i used to spend all day staring at screens chasing bars up and down thinking that more screen time equaled more profit. i got into trading to get my time back but i ended up becoming a slave to the charts until i finally learned to code. now i have fully automated systems trading for me instead of getting liquidated because i removed the weakest link in the system which was me you don't need to spend ten years learning how to code before you can start building your own trading bots. if you spend three to six months getting the gist of python and using ai to bridge the gap you can start building immediately. start with a simple supply and demand bot that looks for major coin trends and only enters when the odds are heavily in your favor by checking the trend of bitcoin ethereum and solana simultaneously you can ensure you aren't fighting the overall market direction. i look for at least two out of those three to be trending before my bot is even allowed to look for an entry. this simple filter alone can save you from thousands of dollars in paper cuts during choppy sideways markets if you can't fly then run and if you can't run then walk but by all means you must keep moving toward automation. the process of taking an idea out of your brain and putting it into a system is the most secretive and valuable skill in the world. don't follow the pack and try to solve the same problems as everyone else but find your own edge and code it into existence the deal you make with yourself at the start of your journey is what determines if you will actually make it or not. i made a contract with myself to learn live and show everything because i believe that transparency is the only way to truly learn this craft. stick to your plan and iterate every single day because the systems you build today are the equalizers that will change your life tomorrow

Moon Dev

11,726 görüntüleme • 6 ay önce

Yesterday i publicly deposited $100 to a new wallet and asked Claude Fable 5 to double it on risk free arbitrage. Today it's sitting at $1,787.21 made overnight. I went through every code line and was shocked. It used just one formula to make 17x in one day: YES + NO Run the bot on a VPS close to the exchange instead of your laptop > Keep WebSocket connections alive instead of reconnecting every loop > Cache market metadata in memory and only update prices > Prepare both orders before the opportunity exists That last one changed everything. Most bots see YES + NO < $1, then build the trade. Mine already has the orders ready. When the spread appears, it only checks liquidity and submits both legs. No rebuilding. No unnecessary calculations. Just execution. Will you beat firms with million-dollar low-latency infrastructure? Probably not. But you don't need to. Most developers lose opportunities long before network latency becomes the bottleneck. They lose them inside their own code. Claude Fable 5 didn't give me a smarter strategy. It taught me how to stop wasting milliseconds. And in arbitrage, that's often the only edge that matters. Make sure to explain it to Claude if you wanna rebuild the same one. Leaving a full guide with every aspect covered below.
0:43

Yesterday i publicly deposited $100 to a new wallet and asked Claude Fable 5 to double it on risk free arbitrage. Today it's sitting at $1,787.21 made overnight. I went through every code line and was shocked. It used just one formula to make 17x in one day: YES + NO Run the bot on a VPS close to the exchange instead of your laptop > Keep WebSocket connections alive instead of reconnecting every loop > Cache market metadata in memory and only update prices > Prepare both orders before the opportunity exists That last one changed everything. Most bots see YES + NO < $1, then build the trade. Mine already has the orders ready. When the spread appears, it only checks liquidity and submits both legs. No rebuilding. No unnecessary calculations. Just execution. Will you beat firms with million-dollar low-latency infrastructure? Probably not. But you don't need to. Most developers lose opportunities long before network latency becomes the bottleneck. They lose them inside their own code. Claude Fable 5 didn't give me a smarter strategy. It taught me how to stop wasting milliseconds. And in arbitrage, that's often the only edge that matters. Make sure to explain it to Claude if you wanna rebuild the same one. Leaving a full guide with every aspect covered below.

Oracle Boar

101,882 görüntüleme • 26 gün önce

When I was 8 years old, growing up in Taipei, I called my aunt in San Francisco and asked: What is the best science and technology school in the world? She said MIT. I went on the internet, found it, and decided that was where I was going. All because of a Steven Spielberg movie about a little robot boy who wanted to find his mom. I grew up as an only child. What stayed with me from that movie was not just the technology. It was the possibility that one day, an artificial companion could understand how I felt. That was the first time I remember being moved by a technology that could change how humans experience reality. Years later, I did get to MIT. I studied AI before it became obvious. I became a machine learning engineer, built my first company, joined a $3.5B VC fund, left to build again, failed, started again, moved to New York alone, and built through one of the hardest crypto markets as a solo founder after the collapse of FTX. I kept going because I have always been drawn to technologies that change how humans understand the world. AI was the first version of that. Crypto and prediction markets are the next. I believe the future I am building toward is inevitable. The only question is whether I get to be one of the people who helps realize it. That future is a world where markets become information-first. The old model of trading was asset-first. It rewarded people with capital, financial education, institutional access, and better tools. But the next generation of markets will be shaped by information flow, narrative, attention, politics, culture, sentiment, and collective belief. Prediction markets make this shift obvious. They are one of the first asset classes where the value is informational, not purely financial in the traditional sense. Your edge does not have to come from technical analysis or a traditional finance background. Your edge can come from knowing something before it becomes consensus. From seeing reality shift before the market prices it in. Someone with firsthand knowledge of an unfolding event can have more alpha than an institution with a much bigger balance sheet. They turn belief into price. But price alone is not enough. Polymarket shows what the market thinks will happen. ARES is built to understand why the market is changing. We are building an information-first trading platform for prediction markets and other narrative-driven assets. One that does not just show traders what is moving, but helps them understand why odds are shifting, why narratives are forming, and why the future is moving in a certain direction. But the bigger vision is not just a better trading terminal. We want to turn every trade into an information object. Every position can become a piece of content. Every market view can become a signal. Every trader can build a reputation around conviction and accuracy. Most feeds rank information by engagement. Who got the most likes. Who already has the biggest audience. Markets allow us to rank information differently. How much are you willing to stake on what you believe? How often have you been right? That creates a fundamentally different kind of media feed. One powered by conviction, track record, and market incentives. One that becomes harder to fake. One that can help people understand not just what the market thinks will happen, but why reality is changing. I also believe prediction markets are one of the few markets where humans can still have a real edge over AI. AI knows what is already on the internet. But humans experience reality before it becomes data. We see things before they become headlines. We hear things before they become reports. We feel shifts before they become consensus. If those signals can be priced, organized, and made legible, then more people can gain access to financial opportunity, information agency, and power. That is what Ares is building toward. I spent years watching founders from the VC side of the table, always thinking: I wish that was me. Now it is. I talked about this journey and the thesis behind Ares in my conversation with Dmitry on Predict Time If you are building, trading, investing, or thinking deeply about prediction markets and information markets, I would love for you to watch it. And if you want to collaborate on what we are building, contribute to the vision, or join the team, we are always open to exceptional people across functions. DMs are open.
1:42:20

When I was 8 years old, growing up in Taipei, I called my aunt in San Francisco and asked: What is the best science and technology school in the world? She said MIT. I went on the internet, found it, and decided that was where I was going. All because of a Steven Spielberg movie about a little robot boy who wanted to find his mom. I grew up as an only child. What stayed with me from that movie was not just the technology. It was the possibility that one day, an artificial companion could understand how I felt. That was the first time I remember being moved by a technology that could change how humans experience reality. Years later, I did get to MIT. I studied AI before it became obvious. I became a machine learning engineer, built my first company, joined a $3.5B VC fund, left to build again, failed, started again, moved to New York alone, and built through one of the hardest crypto markets as a solo founder after the collapse of FTX. I kept going because I have always been drawn to technologies that change how humans understand the world. AI was the first version of that. Crypto and prediction markets are the next. I believe the future I am building toward is inevitable. The only question is whether I get to be one of the people who helps realize it. That future is a world where markets become information-first. The old model of trading was asset-first. It rewarded people with capital, financial education, institutional access, and better tools. But the next generation of markets will be shaped by information flow, narrative, attention, politics, culture, sentiment, and collective belief. Prediction markets make this shift obvious. They are one of the first asset classes where the value is informational, not purely financial in the traditional sense. Your edge does not have to come from technical analysis or a traditional finance background. Your edge can come from knowing something before it becomes consensus. From seeing reality shift before the market prices it in. Someone with firsthand knowledge of an unfolding event can have more alpha than an institution with a much bigger balance sheet. They turn belief into price. But price alone is not enough. Polymarket shows what the market thinks will happen. ARES is built to understand why the market is changing. We are building an information-first trading platform for prediction markets and other narrative-driven assets. One that does not just show traders what is moving, but helps them understand why odds are shifting, why narratives are forming, and why the future is moving in a certain direction. But the bigger vision is not just a better trading terminal. We want to turn every trade into an information object. Every position can become a piece of content. Every market view can become a signal. Every trader can build a reputation around conviction and accuracy. Most feeds rank information by engagement. Who got the most likes. Who already has the biggest audience. Markets allow us to rank information differently. How much are you willing to stake on what you believe? How often have you been right? That creates a fundamentally different kind of media feed. One powered by conviction, track record, and market incentives. One that becomes harder to fake. One that can help people understand not just what the market thinks will happen, but why reality is changing. I also believe prediction markets are one of the few markets where humans can still have a real edge over AI. AI knows what is already on the internet. But humans experience reality before it becomes data. We see things before they become headlines. We hear things before they become reports. We feel shifts before they become consensus. If those signals can be priced, organized, and made legible, then more people can gain access to financial opportunity, information agency, and power. That is what Ares is building toward. I spent years watching founders from the VC side of the table, always thinking: I wish that was me. Now it is. I talked about this journey and the thesis behind Ares in my conversation with Dmitry on Predict Time If you are building, trading, investing, or thinking deeply about prediction markets and information markets, I would love for you to watch it. And if you want to collaborate on what we are building, contribute to the vision, or join the team, we are always open to exceptional people across functions. DMs are open.

Morgan Lai

302,663 görüntüleme • 3 ay önce

🚁 My war drone simulator Apocalypse Drone now has support for 32 players! I also made it Conquest/CTF so you have multiple bases that you have to capture, each round the map is procedurally generated and random so every time it's different (like Battlefield) There's still some bugs to work out and most importantly I have to figure out soldier animations, because they're fixed models now But I have got really far this time I think and coding with AI is really way further than it was a year ago, you mostly notice that how few times you get stuck, only one time this month building this I got stuck which was today where I moved the AI players to the server and they kept showing up as invisible, very buggy, every time I told it that it couldn't fix it though Then I asked it to fundamentally analyze the current server-side AI player code and make it work like industry standard, and it took a long time and fixed everything Last year I'd get stuck hundreds of times and the AI just couldn't get itself out of a hole, but now it can I think it's impressive that just last year only for the first time we could make actual games with AI But this year as non-game dev, I can get pretty close to the level of a multiplayer game from 20y ago (like Battlefield 1942, that lots of ideas here are based on, but with drones :D) Obviously we're still far away from AAA (I hate that term though) but the curve of exponential progress is there again, as it was in AI image generation, then video, and now code, first bad, then better, then good enough! Here's a video of gameplay from my drone sim You can play it with the link in the reply below and it's multiplayer!
8:27

🚁 My war drone simulator Apocalypse Drone now has support for 32 players! I also made it Conquest/CTF so you have multiple bases that you have to capture, each round the map is procedurally generated and random so every time it's different (like Battlefield) There's still some bugs to work out and most importantly I have to figure out soldier animations, because they're fixed models now But I have got really far this time I think and coding with AI is really way further than it was a year ago, you mostly notice that how few times you get stuck, only one time this month building this I got stuck which was today where I moved the AI players to the server and they kept showing up as invisible, very buggy, every time I told it that it couldn't fix it though Then I asked it to fundamentally analyze the current server-side AI player code and make it work like industry standard, and it took a long time and fixed everything Last year I'd get stuck hundreds of times and the AI just couldn't get itself out of a hole, but now it can I think it's impressive that just last year only for the first time we could make actual games with AI But this year as non-game dev, I can get pretty close to the level of a multiplayer game from 20y ago (like Battlefield 1942, that lots of ideas here are based on, but with drones :D) Obviously we're still far away from AAA (I hate that term though) but the curve of exponential progress is there again, as it was in AI image generation, then video, and now code, first bad, then better, then good enough! Here's a video of gameplay from my drone sim You can play it with the link in the reply below and it's multiplayer!

@levelsio

55,036 görüntüleme • 3 ay önce

Why Exchanges Banned This Bot: The 142,000% Return Liquidation Strategy Revealed i finally posted the strategy that got me banned and now the exchanges are probably sweating because i am handing you the keys to the liquidation engine. most people think trading is about charts but the real alpha is hidden in the moments when other traders lose everything. if you can understand why market makers hunt these positions you will never look at a candlestick the same way again. it took years of losing money to liquidations and over trading to realize that hand trading is a losing game for almost everyone on the planet. code is the great equalizer because it removes the emotion that usually causes you to hold a losing position until your account hits zero. i spent hundreds of thousands on developers in the past thinking i could not code myself until i realized i just needed to iterate to success. trading by hand is just driving a horse while everyone else is in a ferrari and the fees alone will chop you up before you even realize you were wrong. i watched a guy with a six million dollar short position sitting just two percent away from total liquidation while i was building this. seeing those numbers on the screen gives me ideas that i can automate into a bot so i dont have to spend my life staring at a monitor. the process i follow is called the rbi system which stands for research backtest and implement. most traders skip the first two steps and go straight to implementation which is why they get smoked on their very first bot. research starts with a backlog of ideas from books or papers or even just watching how the market reacts to big moves. once you have that idea you have to see if it worked in the past using a backtest because if it did not work then it certainly won't work in the future. i have been collecting liquidation data for eighteen months because that data is the lifeblood of a winning system. there is a hidden loop in the market where market makers try to liquidate as many people as possible to find liquidity. i wanted to build a strategy that either trades with that momentum or bets on the bounce right after the liquidation happens. the first strategy i tested was a pure liquidation momentum play that looks for a threshold of nine hundred seventy five thousand dollars in liquidations. when longs get liquidated it shorts the market to continue the down move and it tries to take a one percent profit. this strategy showed a return of over four hundred percent in the backtest while the buy and hold was only thirty three percent. it sounds amazing but you have to be careful with optimized results because you can search with math until you find anything. i decided to flip the logic on its head and create an inverse liquidation strategy that acts as a contrarian. instead of following the move it waits for the longs to get liquidated and then buys the dip after a small price spread. this is where i stumbled onto something that felt like a mistake but turned out to be pure alpha. i accidentally typed in a threshold of three hundred thousand dollars instead of three million and the results were unbelievable. the backtest return jumped to over one hundred forty thousand percent because the bot was catching every single micro bounce in the market. even when i doubled the commission fees to account for the high trade volume the strategy still stayed incredibly profitable. most people would have missed this because they are too busy trying to be right instead of just looking at what the data says. i use tools like claude and cursor to build these bots in minutes when it used to take me an entire week to write the code. if you are not using ai to automate your ideas you are essentially choosing to work ten times harder for less money. i built three separate bots during this session including a momentum bot and two different versions of the inverse spread bot. running these together creates a sort of statistical arbitrage where you can hedge your positions across different market conditions. one bot wins when the market cascades and the other wins when it fakes out and reverses. you have to start with tiny ten dollar sizes because a backtest is never a hundred percent guarantee of what will happen today. i always run my p and l close logic first to make sure the bot exits the position if the stop loss or take profit is hit. it is vital to check your position every fifteen seconds and make sure you are not double ordering or getting stuck in a trade. the goal is to have fully automated systems trading for you so you can actually live your life while the bots do the work. i push all of this code to my private github because i believe that wall street will never show you how this actually works. you have to be a doer and not a dabbler if you want to actually make it in this industry. the reason i show everything live on youtube is to prove that anyone can learn to do this if they are willing to iterate. you dont need to be a math genius you just need to follow the rbi system and stay disciplined with your risk. every liquidation you see on the chart is a signal and if you know how to read them you are no longer the one being hunted. i am currently running the third version of the bot to see how it handles the live market volatility. it is a beautiful thing to see a system enter and exit a trade perfectly without you having to click a single button. the fees are the silent killer of hand traders but a bot can be programmed to use limit orders and stay efficient. if you learn to code you can build anything for the rest of your life regardless of where you are in the world. stop trying to guess which way the candle will go and start building systems that can handle both directions. i am going to keep testing these three strategies against each other to find the ultimate ensemble for this current market. once you find a winning edge you just have to scale it up slowly and keep refining the parameters. the exchanges might not like that i am sharing this but code is the great equalizer and it is time for you to use it. i will be back tomorrow to show the results and keep building more systems until everything is fully automated
1:23:35

Why Exchanges Banned This Bot: The 142,000% Return Liquidation Strategy Revealed i finally posted the strategy that got me banned and now the exchanges are probably sweating because i am handing you the keys to the liquidation engine. most people think trading is about charts but the real alpha is hidden in the moments when other traders lose everything. if you can understand why market makers hunt these positions you will never look at a candlestick the same way again. it took years of losing money to liquidations and over trading to realize that hand trading is a losing game for almost everyone on the planet. code is the great equalizer because it removes the emotion that usually causes you to hold a losing position until your account hits zero. i spent hundreds of thousands on developers in the past thinking i could not code myself until i realized i just needed to iterate to success. trading by hand is just driving a horse while everyone else is in a ferrari and the fees alone will chop you up before you even realize you were wrong. i watched a guy with a six million dollar short position sitting just two percent away from total liquidation while i was building this. seeing those numbers on the screen gives me ideas that i can automate into a bot so i dont have to spend my life staring at a monitor. the process i follow is called the rbi system which stands for research backtest and implement. most traders skip the first two steps and go straight to implementation which is why they get smoked on their very first bot. research starts with a backlog of ideas from books or papers or even just watching how the market reacts to big moves. once you have that idea you have to see if it worked in the past using a backtest because if it did not work then it certainly won't work in the future. i have been collecting liquidation data for eighteen months because that data is the lifeblood of a winning system. there is a hidden loop in the market where market makers try to liquidate as many people as possible to find liquidity. i wanted to build a strategy that either trades with that momentum or bets on the bounce right after the liquidation happens. the first strategy i tested was a pure liquidation momentum play that looks for a threshold of nine hundred seventy five thousand dollars in liquidations. when longs get liquidated it shorts the market to continue the down move and it tries to take a one percent profit. this strategy showed a return of over four hundred percent in the backtest while the buy and hold was only thirty three percent. it sounds amazing but you have to be careful with optimized results because you can search with math until you find anything. i decided to flip the logic on its head and create an inverse liquidation strategy that acts as a contrarian. instead of following the move it waits for the longs to get liquidated and then buys the dip after a small price spread. this is where i stumbled onto something that felt like a mistake but turned out to be pure alpha. i accidentally typed in a threshold of three hundred thousand dollars instead of three million and the results were unbelievable. the backtest return jumped to over one hundred forty thousand percent because the bot was catching every single micro bounce in the market. even when i doubled the commission fees to account for the high trade volume the strategy still stayed incredibly profitable. most people would have missed this because they are too busy trying to be right instead of just looking at what the data says. i use tools like claude and cursor to build these bots in minutes when it used to take me an entire week to write the code. if you are not using ai to automate your ideas you are essentially choosing to work ten times harder for less money. i built three separate bots during this session including a momentum bot and two different versions of the inverse spread bot. running these together creates a sort of statistical arbitrage where you can hedge your positions across different market conditions. one bot wins when the market cascades and the other wins when it fakes out and reverses. you have to start with tiny ten dollar sizes because a backtest is never a hundred percent guarantee of what will happen today. i always run my p and l close logic first to make sure the bot exits the position if the stop loss or take profit is hit. it is vital to check your position every fifteen seconds and make sure you are not double ordering or getting stuck in a trade. the goal is to have fully automated systems trading for you so you can actually live your life while the bots do the work. i push all of this code to my private github because i believe that wall street will never show you how this actually works. you have to be a doer and not a dabbler if you want to actually make it in this industry. the reason i show everything live on youtube is to prove that anyone can learn to do this if they are willing to iterate. you dont need to be a math genius you just need to follow the rbi system and stay disciplined with your risk. every liquidation you see on the chart is a signal and if you know how to read them you are no longer the one being hunted. i am currently running the third version of the bot to see how it handles the live market volatility. it is a beautiful thing to see a system enter and exit a trade perfectly without you having to click a single button. the fees are the silent killer of hand traders but a bot can be programmed to use limit orders and stay efficient. if you learn to code you can build anything for the rest of your life regardless of where you are in the world. stop trying to guess which way the candle will go and start building systems that can handle both directions. i am going to keep testing these three strategies against each other to find the ultimate ensemble for this current market. once you find a winning edge you just have to scale it up slowly and keep refining the parameters. the exchanges might not like that i am sharing this but code is the great equalizer and it is time for you to use it. i will be back tomorrow to show the results and keep building more systems until everything is fully automated

Moon Dev

11,948 görüntüleme • 4 ay önce