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TODAY (For the public) A Team Bonding Experience | C🔴mmissi🔴n Models Ruby/Blake/Yang (Yinyama3D🔞 Commissions Closed(2/2)) Map Team RWBY Dorms (Yinyama3D🔞 Commissions Closed(2/2)) Audio LewdHeart (Voicepack) HentAudio 🇺🇦 🟢COMMS OPEN🟢 (SFX Pack)

MarcoV4 (Comm Cleanup)

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🔞Twinkle Park (Commissions Closed)🔞

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learned a lot from this conversation with Simon Mo and Matt Bornstein. biggest takeaways for me: -there are a lot of reasons why we should like open-weight models. a lot of these arguments stop at handwavy things like "what if the labs stop releasing frontier models to the public" or "it's lower cost." but simon's position as lead maintainer of vLLM and CEO of Inferact give him authority to talk about some of the other, more interesting and concrete reasons to pay attention to open-weight models, namely that they allow end-users to calibrate latency / other performance metrics with way more customizability than what any of the frontier closed-source labs offer (and without the fear that your job might be met with a refusal at some random point where you're deep in a 2 hour job) -re: the above point...for this reason, a lot of US companies (inferact included!) choose to use open-weight models over their closed-source alternatives. this also isn't limited to internal workloads / research - on a recent a16z podcast the team at Decagon spoke about how something like 90% of their customer service ai agents run on open-weight models that they've fine-tuned. -we should really appreciate how many companies/teams came out researchers fascinated by the wave of very small open-weight models that were being distilled from e.g. gpt-3.5 and earlier models in 2022/2023 (prior to the release of chatGPT!). these small models motivated the development of pagedattention, which then led to vlmm/inferact (at other layers of the stack with similar origin stories, you can look at teams like openrouter or ollama). in other words, we have open-weight models to thank for a bunch of the orchestration infra we now rely on. i think yet another, indirect, way we can point to open-source/weight infra pushing the frontier forward. anyway, a lot more in this convo, it was a lot of fun!

learned a lot from this conversation with Simon Mo and Matt Bornstein. biggest takeaways for me: -there are a lot of reasons why we should like open-weight models. a lot of these arguments stop at handwavy things like "what if the labs stop releasing frontier models to the public" or "it's lower cost." but simon's position as lead maintainer of vLLM and CEO of Inferact give him authority to talk about some of the other, more interesting and concrete reasons to pay attention to open-weight models, namely that they allow end-users to calibrate latency / other performance metrics with way more customizability than what any of the frontier closed-source labs offer (and without the fear that your job might be met with a refusal at some random point where you're deep in a 2 hour job) -re: the above point...for this reason, a lot of US companies (inferact included!) choose to use open-weight models over their closed-source alternatives. this also isn't limited to internal workloads / research - on a recent a16z podcast the team at Decagon spoke about how something like 90% of their customer service ai agents run on open-weight models that they've fine-tuned. -we should really appreciate how many companies/teams came out researchers fascinated by the wave of very small open-weight models that were being distilled from e.g. gpt-3.5 and earlier models in 2022/2023 (prior to the release of chatGPT!). these small models motivated the development of pagedattention, which then led to vlmm/inferact (at other layers of the stack with similar origin stories, you can look at teams like openrouter or ollama). in other words, we have open-weight models to thank for a bunch of the orchestration infra we now rely on. i think yet another, indirect, way we can point to open-source/weight infra pushing the frontier forward. anyway, a lot more in this convo, it was a lot of fun!

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4v4 (+2) | Possession vs. Regain and Counter to Goal 🥅. ✅ Aim: ✔️ Regain Possession and Counter Attack Quickly. ✅ Set Up: ✔️ Space: 40 (L) x 30 (W) yards. All players start in one half of the pitch. ✔️Place 2 x mini goals 🥅 at one end of the pitch and 2x mini goals in one half of the pitch in diagonally opposite corners. ✔️⚫️s = Possession Team ✔️🔴s = Regain and Counter Team ✔️🟢s = Support Players for the team with the ball ⚽️. ✅ Scoring: ✔️ ⚫️s connect 5 passes or play a wall pass around a player = 1 goal ✔️🔴s regain the ball and 1️⃣ break into the other half and score quickly in a mini goal. Or 2️⃣ connect 4 passes in the half they are in and score in the corner mini goals. ✅ Session Guidance: ➡️ When the 🔴s break over over the halfway line 3 x of them can attack and 2x ⚫️s can recover to get the ball back into the possession half. (3v2). ➡️ Flip the roles of the teams every 3-5 minutes to allow them to practice possession and counters. ✅ Notes: ✔️ ⚫️s: Try keep the ball using controlled possession- spotting the right time to pause on the ball, play through opponents, or play a wall pass. ✔️ 🔴s: Try to win the ball cleanly using interceptions: THEN: 1️⃣ Counter quickly using forward passing and running 🏃‍♂️ 2️⃣ Secure possession and score in the mini goals in the half where the ball ⚽️ was won. Created On: TacticalPad® #SundayShare #SundayShare Temisan Williams @TheCoachesArea Lloyd Owers @FootballTrnng 205 Academy Conor Edwards Breakthrough Soccer The Sporting Resource Felix Lehmann Brett Godwin

4v4 (+2) | Possession vs. Regain and Counter to Goal 🥅. ✅ Aim: ✔️ Regain Possession and Counter Attack Quickly. ✅ Set Up: ✔️ Space: 40 (L) x 30 (W) yards. All players start in one half of the pitch. ✔️Place 2 x mini goals 🥅 at one end of the pitch and 2x mini goals in one half of the pitch in diagonally opposite corners. ✔️⚫️s = Possession Team ✔️🔴s = Regain and Counter Team ✔️🟢s = Support Players for the team with the ball ⚽️. ✅ Scoring: ✔️ ⚫️s connect 5 passes or play a wall pass around a player = 1 goal ✔️🔴s regain the ball and 1️⃣ break into the other half and score quickly in a mini goal. Or 2️⃣ connect 4 passes in the half they are in and score in the corner mini goals. ✅ Session Guidance: ➡️ When the 🔴s break over over the halfway line 3 x of them can attack and 2x ⚫️s can recover to get the ball back into the possession half. (3v2). ➡️ Flip the roles of the teams every 3-5 minutes to allow them to practice possession and counters. ✅ Notes: ✔️ ⚫️s: Try keep the ball using controlled possession- spotting the right time to pause on the ball, play through opponents, or play a wall pass. ✔️ 🔴s: Try to win the ball cleanly using interceptions: THEN: 1️⃣ Counter quickly using forward passing and running 🏃‍♂️ 2️⃣ Secure possession and score in the mini goals in the half where the ball ⚽️ was won. Created On: TacticalPad® #SundayShare #SundayShare Temisan Williams @TheCoachesArea Lloyd Owers @FootballTrnng 205 Academy Conor Edwards Breakthrough Soccer The Sporting Resource Felix Lehmann Brett Godwin

JUST COACH

12,294 Aufrufe • vor 2 Jahren

$I nearly 2x'd the speed while only using +1GB VRAM with the new MTP update in llama.cpp 🤯 You need to add these flags to start using it: --spec-type draft-mtp \ --spec-draft-p-min 0.75 \ --spec-draft-n-max 2 My results with Qwen3.6 27B on a single RTX 5080 ↓ ⚪️ no flag (without mtp) → 54.3 tok/s with 13.26GB VRAM 🔵 --spec-draft-n-max 2 → 90.7 tok/s with 14.29GB VRAM 🔴 --spec-draft-n-max 2 --spec-draft-p-min 0.75 → 93.9 tok/s with 14.30GB VRAM 🟢 --spec-draft-n-max 6 --spec-draft-p-min 0.75 → 93.9 tok/s with 14.87GB VRAM Increasing to 6 draft tokens didn't help my setup for some reason. I made sure to test with a low context length to have enough headroom and eliminate risk of vram stress. From my understanding: 1) The speed gains are very task-dependent. You need to test across a wide range of tasks to get a realistic idea of the benefits 2) We’re already running heavily quantized GGUF models (Q3, Q4, Q6, etc.), so we already benefit from strong speed/performance thanks to the reduced size. That’s why some people are seeing little to no improvement compared to MLX or other quantized versions The progress over the past few days has been insane to say the least. However, MTP now consumes significantly more VRAM. Personally 16GB just isn't enough to use MTP and run it with a good context size. Time to upgrade lads, 24GB+ users are eating GOOD today 🔥 Full setup below ↓$

I nearly 2x'd the speed while only using +1GB VRAM with the new MTP update in llama.cpp 🤯 You need to add these flags to start using it: --spec-type draft-mtp \ --spec-draft-p-min 0.75 \ --spec-draft-n-max 2 My results with Qwen3.6 27B on a single RTX 5080 ↓ ⚪️ no flag (without mtp) → 54.3 tok/s with 13.26GB VRAM 🔵 --spec-draft-n-max 2 → 90.7 tok/s with 14.29GB VRAM 🔴 --spec-draft-n-max 2 --spec-draft-p-min 0.75 → 93.9 tok/s with 14.30GB VRAM 🟢 --spec-draft-n-max 6 --spec-draft-p-min 0.75 → 93.9 tok/s with 14.87GB VRAM Increasing to 6 draft tokens didn't help my setup for some reason. I made sure to test with a low context length to have enough headroom and eliminate risk of vram stress. From my understanding: 1) The speed gains are very task-dependent. You need to test across a wide range of tasks to get a realistic idea of the benefits 2) We’re already running heavily quantized GGUF models (Q3, Q4, Q6, etc.), so we already benefit from strong speed/performance thanks to the reduced size. That’s why some people are seeing little to no improvement compared to MLX or other quantized versions The progress over the past few days has been insane to say the least. However, MTP now consumes significantly more VRAM. Personally 16GB just isn't enough to use MTP and run it with a good context size. Time to upgrade lads, 24GB+ users are eating GOOD today 🔥 Full setup below ↓

left curve dev

30,086 Aufrufe • vor 4 Monaten

The NFL has the Super Bowl today, and #yoursffd has the Super Save! Quarterback FF/PM Jay Weber calls an audible, and KOBE is rescued by Receiver FF/EJ Nave in a stunning play! 🏈 The play starts with canine KOBE falling into the Bay and getting stuck, with nowhere to go for help, but the rescue team isn't having it. They lure him back to the bay with a clever tactic, and it's Rescue Boat 35 to the rescue! Rescue Swimmer FF/EJ Nave deployed, buoy secured, Kobe is brought back to safety! The crowd goes wild as Kobe reunites with his human companion, tired but grateful for the excellent care from #YOURSFFD and his owner. *FINAL PLAY:* Kobe's safe, sound, and home with his family. Incident closed! 😎 ——————————————————— At 2:30 PM today, the San Francisco Fire Department received multiple 911 calls about a dog that had fallen off a pier near McCovey Cove. The fire department’s land and marine rescue teams arrived swiftly and met with the owner, who reported that her dog had jumped into the water after chasing a bird. With no way to escape, the dog was swimming frantically and becoming increasingly exhausted. The SFFD Paramedic Rescue Boat 35 (RB35) operated by Firefighter/Paramedic Jay Weber, located the dog, named Kobe, underneath a pier. Using voice commands, the rescue boat was able to lure Kobe to open water and deployed a rescue swimmer FF/EJ Nave. RB35 secured a buoy around the dog and brought him back to the boat. Kobe was then reunited with his owner and received care from the SFFD and his human. He is now home safe and resting with his family. Incident closed!

The NFL has the Super Bowl today, and #yoursffd has the Super Save! Quarterback FF/PM Jay Weber calls an audible, and KOBE is rescued by Receiver FF/EJ Nave in a stunning play! 🏈 The play starts with canine KOBE falling into the Bay and getting stuck, with nowhere to go for help, but the rescue team isn't having it. They lure him back to the bay with a clever tactic, and it's Rescue Boat 35 to the rescue! Rescue Swimmer FF/EJ Nave deployed, buoy secured, Kobe is brought back to safety! The crowd goes wild as Kobe reunites with his human companion, tired but grateful for the excellent care from #YOURSFFD and his owner. FINAL PLAY: Kobe's safe, sound, and home with his family. Incident closed! 😎 ——————————————————— At 2:30 PM today, the San Francisco Fire Department received multiple 911 calls about a dog that had fallen off a pier near McCovey Cove. The fire department’s land and marine rescue teams arrived swiftly and met with the owner, who reported that her dog had jumped into the water after chasing a bird. With no way to escape, the dog was swimming frantically and becoming increasingly exhausted. The SFFD Paramedic Rescue Boat 35 (RB35) operated by Firefighter/Paramedic Jay Weber, located the dog, named Kobe, underneath a pier. Using voice commands, the rescue boat was able to lure Kobe to open water and deployed a rescue swimmer FF/EJ Nave. RB35 secured a buoy around the dog and brought him back to the boat. Kobe was then reunited with his owner and received care from the SFFD and his human. He is now home safe and resting with his family. Incident closed!

SAN FRANCISCO FIRE DEPARTMENT MEDIA

11,269 Aufrufe • vor 7 Monaten

Payout denied by FunderPro sharing my experience Owen Morton FunderPro MyForexFirms Prop Firm Match Prop Firm Eye I had a $100K 2-Step Classic account with FunderPro. I requested my 2nd payout of $952 on 6 Dec 2025. After 5+ days with no update, I contacted Discord support. They said the payout team was informed and they would check. On 12 Dec, I received an email stating: My payout was rejected My account was closed Reason: “Suspicious trading activity & inconsistent with terms” I am attaching a video of my dashboard which i recorded before requesting the payout There you will se one failed acc I have never failed any master acc , They had a server migration so they closed that acc and gave me new acc with same bal So you ll find trades in 2 acc My dashboard access was deleted, I was removed from Discord, and I’ve been unable to log in since. At the time of trading, only 2 rules existed: 20% margin rule News trading rule I never violated either. My trading details: Risked 1–1.2% per trade One trade per day One pair only Same strategy throughout I have screen recordings of all trades I emailed support asking for clarification and access. They gave me a ticket ID, then went silent for 5–6 days. Later, they said they don’t have access to my ticket ID. They asked me to create a ticket via the dashboard — I explained I cannot log in. They said it might be a glitch and asked me to reset my password. I tried. No success. I contacted a FunderPro affiliate. He said he’d look into it , asked me to create another ticket , after some days there was no response from him or FunderPro. In January, I emailed again. I received the same generic reply: > “Suspicious and inconsistent trading behaviour” I asked them to clearly explain: Which rule I violated Which trade was inconsistent How my trading breached their terms I still haven’t received a clear explanation. I’m posting this for transparency. If my trading was inconsistent, I’m open to facts — but I deserve a specific, rule-based explanation. I request Owen Morton FunderPro To look into this and honour my Payout

Payout denied by FunderPro sharing my experience Owen Morton FunderPro MyForexFirms Prop Firm Match Prop Firm Eye I had a $100K 2-Step Classic account with FunderPro. I requested my 2nd payout of $952 on 6 Dec 2025. After 5+ days with no update, I contacted Discord support. They said the payout team was informed and they would check. On 12 Dec, I received an email stating: My payout was rejected My account was closed Reason: “Suspicious trading activity & inconsistent with terms” I am attaching a video of my dashboard which i recorded before requesting the payout There you will se one failed acc I have never failed any master acc , They had a server migration so they closed that acc and gave me new acc with same bal So you ll find trades in 2 acc My dashboard access was deleted, I was removed from Discord, and I’ve been unable to log in since. At the time of trading, only 2 rules existed: 20% margin rule News trading rule I never violated either. My trading details: Risked 1–1.2% per trade One trade per day One pair only Same strategy throughout I have screen recordings of all trades I emailed support asking for clarification and access. They gave me a ticket ID, then went silent for 5–6 days. Later, they said they don’t have access to my ticket ID. They asked me to create a ticket via the dashboard — I explained I cannot log in. They said it might be a glitch and asked me to reset my password. I tried. No success. I contacted a FunderPro affiliate. He said he’d look into it , asked me to create another ticket , after some days there was no response from him or FunderPro. In January, I emailed again. I received the same generic reply: > “Suspicious and inconsistent trading behaviour” I asked them to clearly explain: Which rule I violated Which trade was inconsistent How my trading breached their terms I still haven’t received a clear explanation. I’m posting this for transparency. If my trading was inconsistent, I’m open to facts — but I deserve a specific, rule-based explanation. I request Owen Morton FunderPro To look into this and honour my Payout

TRADERMONK

14,953 Aufrufe • vor 7 Monaten

Today we’re partnering with AWS to launch Superblocks 3.0: the secure way for employees to vibe code production enterprise software. In a single prompt, Superblocks can replace million dollar SaaS, while IT & Security stay in control. OpenAI and Anthropic are releasing new models with advanced cyber attack capability and vibe coding is every company's achilles heel: > Personal Replit accounts store untracked customer data. > Lovable prototypes with your data open to the public internet. > Claude on the desktop pulls malicious packages. How Superblocks 3.0 works: 1. Superblocks Builds: Import vibe coded prototypes. Model routing picks the best frontier or open source model per task. Saves up to 30% on token costs. 2. Superblocks Secures: A swarm of security agents work like a real human team to find and fix vulnerabilities. 3. Superblocks Deploys: Unlike consumer vibe coding tools that send your data to their cloud, Superblocks deploys the application, database, and AI inference securely inside your private AWS environment. Superblocks 3.0 is trusted across enterprises like Instacart, Benchling, and even banks and social networks with the most stringent security requirements. Book a demo here: Everyone says, “AI is replacing SaaS”, yet find me a Fortune 500 company that has vibe coded its own CRM instead of using Salesforce. That changes today. To celebrate our launch, we're building 1,000 enterprise apps for free. Comment a SaaS tool you hate and why, and we'll reply with an enterprise-grade replacement.

Today we’re partnering with AWS to launch Superblocks 3.0: the secure way for employees to vibe code production enterprise software. In a single prompt, Superblocks can replace million dollar SaaS, while IT & Security stay in control. OpenAI and Anthropic are releasing new models with advanced cyber attack capability and vibe coding is every company's achilles heel: > Personal Replit accounts store untracked customer data. > Lovable prototypes with your data open to the public internet. > Claude on the desktop pulls malicious packages. How Superblocks 3.0 works: 1. Superblocks Builds: Import vibe coded prototypes. Model routing picks the best frontier or open source model per task. Saves up to 30% on token costs. 2. Superblocks Secures: A swarm of security agents work like a real human team to find and fix vulnerabilities. 3. Superblocks Deploys: Unlike consumer vibe coding tools that send your data to their cloud, Superblocks deploys the application, database, and AI inference securely inside your private AWS environment. Superblocks 3.0 is trusted across enterprises like Instacart, Benchling, and even banks and social networks with the most stringent security requirements. Book a demo here: Everyone says, “AI is replacing SaaS”, yet find me a Fortune 500 company that has vibe coded its own CRM instead of using Salesforce. That changes today. To celebrate our launch, we're building 1,000 enterprise apps for free. Comment a SaaS tool you hate and why, and we'll reply with an enterprise-grade replacement.

Brad Menezes

19,482,076 Aufrufe • vor 1 Monat

How to Identify Agents with Sound Alone: Audio Profiles Each agent in VALORANT has a unique walk sound. We can use this to identify who is moving around without seeing them AND without them using abilities. Each agent has unique tells, here's Proof: Key: (How Easy it is to Identify who is running) 🟢 - Extremely Easy to identify without trying 🟡 - Somewhat difficult until you know what to listen for 🔴 - Difficult, and needs practice In order of their names Alphabetically (up to Miks in release date) Astra - 🟢. Astra has golden, loose jewelry. This makes it easy to identify her because she is one of the only agents that you can hear it, and of those agents, it's the most consistent. She also has lighter steps as she is meant to be smaller than the other agents 5'6 (170cm) Breach - 🟢. Breach is easily identifiable by the heavy boots that he wears. He is one of the loudest agents in terms of walking as his boots as well as his radianite arms that are also quite loud, being made of metal. Brimstone - 🟢. Similar to Breach, Brim is also easily identifiable due to how heavy his footsteps are. What separates him from Breach is his boots are leather but stomps, likely coming from his military background. Chamber - 🟡. Chamber is what started this entire thing for me. You can identify chamber by his loose gold watch, which chimes as he walks. The reason this is yellow circle and not green is because it is not as frequent as Astra and he wears sneakers, which the majority of the cast wear. So besides the watch it can be somewhat difficult to identify, if you're not actively listening for it. Clove - 🟡. Clove is somewhat difficult, but what makes them unique is how soft / quiet they walk. They are very light, wears shoes that have a lot of cushion and is meant to feel like a smaller character, canonically 5'6 / 168cm. Cypher 🔴 - Despite playing a lot of Cypher, I have a really hard time differentiating him from other characters with similar patterns like Viper and Fade. Comapred to Fade, I would say his have more bass. Deadlock 🟢 - The only person you could mix Deadlock up with is Sova. However, Deadlock's walk has a much more "wet" sound to it, as if she were crushing in soft snow with her snow boots. Fade 🔴 - Too similar to other agents, especially Cypher makes it very hard to tell. The only thing that makes her unique is her consistency, the decibel spread is almost nothing. Gekko 🟡- Also pretty hard, as he is one of the many average weight sneaker users. He is very similar to Killjoy, but with more bass which is how i remember. He's wearing vans, it sounds like rubber. Harbor 🟢 - Extremely easy. You can hear his braclet from a mile away. One of the more unique ones. Iso 🔴- Another middleweight flat shoe wearer. I think he is meant to be heavier than agents like Gekko and Miks who sound similar. This is one wear you have to look at who is alive to differentiate between him and other agents. Jett 🟢- Extremely easy, maybe because I've heard it so much with the Jetts in my games, but I think the idea is she is meant to feel light and dainty, as if the wind is carrying her. That's why she walks so soft. She is also meant to be quite small at 5'4 / 164cm which corroborates the quiet steps. KAY/O 🟢- The easiest. Even people who don't play VALORANT could tell you that's the sound of a robot. The metal makes it very easy to tell. Killjoy 🟡 - Somewhat difficult, I think the giveaway are the boots. Like I said about Gekko, hers in comparison create softer sounds. Miks 🔴 - Really disappointed that Miks, the sound guy doesn't have anything unique to his walk. It is similar to Gekkos, in that it is rubbery but also muddy. Neon 🟢- Iconic. Being a runner, she is wearing running shoes. Not much said, I think anyone could hear the difference. Omen 🟡 - Somewhat difficult. You are listening for a "wet" sound when he walks. He has been out for long enough where I can hear it distinctly enough. Phoenix 🟡 - Somewhat difficult. You are listening for the same rubbery sound as Miks, but with a lot more bass, he drags his feet somewhat. Raze 🟡 - Hard to hear at first, but you are listening for a "mud" / squish sound. Similar to Omen, but not "stompy" Reyna 🟢- Maybe just me but I have an easy time hearing Reyna's. This is the one I can identify the quickest in game. I listen for a lot of bass towards the front of her step, as she has raised shoes which put more impact on her toes / balls of her feet. The sound is unique enough where you can her pretty clearly. Sage 🟡 - Somewhat difficult. Can be confused with Raze sometimes, as you are also listening for a "muddy sound" Skye 🟢- Very easy, she has trail shoes. Makes sense, she's from Australia. Sova 🟢- Again, similar to deadlock, Sova has boots made for winter, and there are feint sounds of him walking on ice. This one is somewhat similar to Skye, but not enough to mistakes the two. His has more bass. Tejo 🟡 - I didn't play as much when Tejo was popular, and this could be why I don't hear much differences in Gekko and Miks as well, but I find Tejo easier because of his heavty duty boots. Veto 🟡 - Somewhat hard to hear, only because I haven't played enough but there is dampness and a muddy sound to his walk similar to Raze, Omen etc. with that rubbery sound Viper 🟡 - somewhat hard to hear. Again, I think she sounds very similar to Fade and Cypher. But I think she is easier to identify because of the bass in each step. Vyse 🟢 - Very easy once you start listening. She has a lot of metal attached to her, which you can hear. Waylay 🔴 - Another middleweight rubber user. Hard to hear, but I haven't played with/against enough Waylay to really know her pattern. Yoru 🟢 - Iconic sound, you have been conditioned to hear this sound over and over with the Fake Footsteps and the reworked Yoru Clone + his fake clone of himself, he is most commonly walking around rather than sneaking, so you will probably become very accustom to him. Things to note: 1. These noises are NOT client / team sided. At the end of this video I show my friend walking as Chamber and Phoenix, you can hear a clear difference. He is on the ENEMY team, not mine. 2. You are NOT relying on audio alone. Agents all have their unique abilities which are significantly more telling of who is nearby compared to footsteps. The point of this exercise is to help identify WHO is there if there is no other way of knowing. 3. It is not meant to be used every round, hell even every game. I have really good hearing, so I can make good use of it. But as you can see by the red circles, it is not universal. Again, there are other more obvious ways of telling who is nearby. 4. But how is this useful? Well for me, I like to memorize the Controllers the most, because if I can identify that the sound of a controller's footsteps. I know they are not lurking, which allows for a little more peace of mind for my teammates rotating onto my site. 5. I used the same spot on purpose to show that they have different sound profiles. HOWEVER, it is important to note that with the different surfaces that you can run across, some of the noises that I described could sound different or harder to hear.

How to Identify Agents with Sound Alone: Audio Profiles Each agent in VALORANT has a unique walk sound. We can use this to identify who is moving around without seeing them AND without them using abilities. Each agent has unique tells, here's Proof: Key: (How Easy it is to Identify who is running) 🟢 - Extremely Easy to identify without trying 🟡 - Somewhat difficult until you know what to listen for 🔴 - Difficult, and needs practice In order of their names Alphabetically (up to Miks in release date) Astra - 🟢. Astra has golden, loose jewelry. This makes it easy to identify her because she is one of the only agents that you can hear it, and of those agents, it's the most consistent. She also has lighter steps as she is meant to be smaller than the other agents 5'6 (170cm) Breach - 🟢. Breach is easily identifiable by the heavy boots that he wears. He is one of the loudest agents in terms of walking as his boots as well as his radianite arms that are also quite loud, being made of metal. Brimstone - 🟢. Similar to Breach, Brim is also easily identifiable due to how heavy his footsteps are. What separates him from Breach is his boots are leather but stomps, likely coming from his military background. Chamber - 🟡. Chamber is what started this entire thing for me. You can identify chamber by his loose gold watch, which chimes as he walks. The reason this is yellow circle and not green is because it is not as frequent as Astra and he wears sneakers, which the majority of the cast wear. So besides the watch it can be somewhat difficult to identify, if you're not actively listening for it. Clove - 🟡. Clove is somewhat difficult, but what makes them unique is how soft / quiet they walk. They are very light, wears shoes that have a lot of cushion and is meant to feel like a smaller character, canonically 5'6 / 168cm. Cypher 🔴 - Despite playing a lot of Cypher, I have a really hard time differentiating him from other characters with similar patterns like Viper and Fade. Comapred to Fade, I would say his have more bass. Deadlock 🟢 - The only person you could mix Deadlock up with is Sova. However, Deadlock's walk has a much more "wet" sound to it, as if she were crushing in soft snow with her snow boots. Fade 🔴 - Too similar to other agents, especially Cypher makes it very hard to tell. The only thing that makes her unique is her consistency, the decibel spread is almost nothing. Gekko 🟡- Also pretty hard, as he is one of the many average weight sneaker users. He is very similar to Killjoy, but with more bass which is how i remember. He's wearing vans, it sounds like rubber. Harbor 🟢 - Extremely easy. You can hear his braclet from a mile away. One of the more unique ones. Iso 🔴- Another middleweight flat shoe wearer. I think he is meant to be heavier than agents like Gekko and Miks who sound similar. This is one wear you have to look at who is alive to differentiate between him and other agents. Jett 🟢- Extremely easy, maybe because I've heard it so much with the Jetts in my games, but I think the idea is she is meant to feel light and dainty, as if the wind is carrying her. That's why she walks so soft. She is also meant to be quite small at 5'4 / 164cm which corroborates the quiet steps. KAY/O 🟢- The easiest. Even people who don't play VALORANT could tell you that's the sound of a robot. The metal makes it very easy to tell. Killjoy 🟡 - Somewhat difficult, I think the giveaway are the boots. Like I said about Gekko, hers in comparison create softer sounds. Miks 🔴 - Really disappointed that Miks, the sound guy doesn't have anything unique to his walk. It is similar to Gekkos, in that it is rubbery but also muddy. Neon 🟢- Iconic. Being a runner, she is wearing running shoes. Not much said, I think anyone could hear the difference. Omen 🟡 - Somewhat difficult. You are listening for a "wet" sound when he walks. He has been out for long enough where I can hear it distinctly enough. Phoenix 🟡 - Somewhat difficult. You are listening for the same rubbery sound as Miks, but with a lot more bass, he drags his feet somewhat. Raze 🟡 - Hard to hear at first, but you are listening for a "mud" / squish sound. Similar to Omen, but not "stompy" Reyna 🟢- Maybe just me but I have an easy time hearing Reyna's. This is the one I can identify the quickest in game. I listen for a lot of bass towards the front of her step, as she has raised shoes which put more impact on her toes / balls of her feet. The sound is unique enough where you can her pretty clearly. Sage 🟡 - Somewhat difficult. Can be confused with Raze sometimes, as you are also listening for a "muddy sound" Skye 🟢- Very easy, she has trail shoes. Makes sense, she's from Australia. Sova 🟢- Again, similar to deadlock, Sova has boots made for winter, and there are feint sounds of him walking on ice. This one is somewhat similar to Skye, but not enough to mistakes the two. His has more bass. Tejo 🟡 - I didn't play as much when Tejo was popular, and this could be why I don't hear much differences in Gekko and Miks as well, but I find Tejo easier because of his heavty duty boots. Veto 🟡 - Somewhat hard to hear, only because I haven't played enough but there is dampness and a muddy sound to his walk similar to Raze, Omen etc. with that rubbery sound Viper 🟡 - somewhat hard to hear. Again, I think she sounds very similar to Fade and Cypher. But I think she is easier to identify because of the bass in each step. Vyse 🟢 - Very easy once you start listening. She has a lot of metal attached to her, which you can hear. Waylay 🔴 - Another middleweight rubber user. Hard to hear, but I haven't played with/against enough Waylay to really know her pattern. Yoru 🟢 - Iconic sound, you have been conditioned to hear this sound over and over with the Fake Footsteps and the reworked Yoru Clone + his fake clone of himself, he is most commonly walking around rather than sneaking, so you will probably become very accustom to him. Things to note: 1. These noises are NOT client / team sided. At the end of this video I show my friend walking as Chamber and Phoenix, you can hear a clear difference. He is on the ENEMY team, not mine. 2. You are NOT relying on audio alone. Agents all have their unique abilities which are significantly more telling of who is nearby compared to footsteps. The point of this exercise is to help identify WHO is there if there is no other way of knowing. 3. It is not meant to be used every round, hell even every game. I have really good hearing, so I can make good use of it. But as you can see by the red circles, it is not universal. Again, there are other more obvious ways of telling who is nearby. 4. But how is this useful? Well for me, I like to memorize the Controllers the most, because if I can identify that the sound of a controller's footsteps. I know they are not lurking, which allows for a little more peace of mind for my teammates rotating onto my site. 5. I used the same spot on purpose to show that they have different sound profiles. HOWEVER, it is important to note that with the different surfaces that you can run across, some of the noises that I described could sound different or harder to hear.

ROCKET

423,069 Aufrufe • vor 23 Tagen

Rolled credits on Yakuza Kiwami 3 & Dark Ties: Review: A massive visual and technical overhaul that brings the sunny beaches of Okinawa to life. The new combat system and Morning Glory minigame are the stars of the show, the latter of which has been transformed into a surprisingly addictive farming sim. Kiwami 3 starts out with Kiryu and Haruka leaving Kamurocho to take over the Morning Glory orphanage in Okinawa. Kiryu grew up in an orphanage, so it's only right that he gives back. The early hours of the game are spent introducing you to the new characters, and building bonds with them through the expansive new minigame. Morning Glory is a crucial location to Kiryu's story, and the new storyline gives it impact, rather than just being a backdrop. The pacing is kind of slow in the beginning, but the payoff is a high-stakes thriller that puts both the orphanage and the Tojo Clan at risk. It quickly goes from a slice of life to a CIA thriller. If you've played the original, then some of the character redesigns lack the same charm IMO. Rikiya is supposed to be clumsy and a bit of a goofball, but extremely loyal, and eager for Kiryu's approval. The new character model (although he was great in Tokyo Vice) feels more 'serious' and loses some of the original's energy. Similar can be said about old man Nakahara. Combat has been overhauled however. Dragon of Dojima Style feels refined and heavy, and is probably the best implementation of the classic 'Dragon Style' combat system yet, ideal for taking down bosses 1v1. The new Ryukyu Style is built for taking down mobs. It lets you cycle through an arsenal of weapons, each with unique special effects, and large AoE attacks that can take out entire groups in seconds. In addition to Morning Glory, The "Haisai Girls" minigame is a surprisingly deep minigame that essentially turns this into Dynasty Warriors! You manage a biker gang, recruit members, and fight massive real-time battles against dozens of enemies at once. It has an entire storyline, and I'm surprised it wasn't marketed more! As for Dark Ties, it's a roughly 3 hour playthrough that's a must play for Yakuza fans. It dives deeper into Mine’s backstory and explains some of the... plot twists that were featured in the base game. The soundtrack is also excellent (better than the main game), and the faster pace is a refreshing break from the base game’s slower burn. Final Verdict: Kiwami 3 is the logical next step for those coming off Kiwami 2, one of my favorites in the series. Fans of the original may be disappointed with some of the changes, but the expanded Morning Glory and the refined combat system makes this the definitive way to experience Kiryu's Okinawa chapter. Returning to the streets of Kamurocho always feels like home and Dark Ties was a nice bonus that leaves questions for the future of the series. Kagawa should have been recast, and I'm still not sure why they changed up such key characters to the game, but it's a solid remake that ushers in a new era for the franchise. 🟢 Combat is at an all time high 🟢 Morning Glory content steals the show 🟢 Dark Ties is an added bonus that's mandatory for fans 🟢 Character models look excellent 🔴 Kagawa should have been recast 🔴 New character redesigns lack the charm of the original Final Score: 7.5/10 (Good) Playtime: 30 hours Platform: Steam Thank you to SEGA and RGG Studio for providing review code. #YakuzaKiwami3 #LikeADragon

Rolled credits on Yakuza Kiwami 3 & Dark Ties: Review: A massive visual and technical overhaul that brings the sunny beaches of Okinawa to life. The new combat system and Morning Glory minigame are the stars of the show, the latter of which has been transformed into a surprisingly addictive farming sim. Kiwami 3 starts out with Kiryu and Haruka leaving Kamurocho to take over the Morning Glory orphanage in Okinawa. Kiryu grew up in an orphanage, so it's only right that he gives back. The early hours of the game are spent introducing you to the new characters, and building bonds with them through the expansive new minigame. Morning Glory is a crucial location to Kiryu's story, and the new storyline gives it impact, rather than just being a backdrop. The pacing is kind of slow in the beginning, but the payoff is a high-stakes thriller that puts both the orphanage and the Tojo Clan at risk. It quickly goes from a slice of life to a CIA thriller. If you've played the original, then some of the character redesigns lack the same charm IMO. Rikiya is supposed to be clumsy and a bit of a goofball, but extremely loyal, and eager for Kiryu's approval. The new character model (although he was great in Tokyo Vice) feels more 'serious' and loses some of the original's energy. Similar can be said about old man Nakahara. Combat has been overhauled however. Dragon of Dojima Style feels refined and heavy, and is probably the best implementation of the classic 'Dragon Style' combat system yet, ideal for taking down bosses 1v1. The new Ryukyu Style is built for taking down mobs. It lets you cycle through an arsenal of weapons, each with unique special effects, and large AoE attacks that can take out entire groups in seconds. In addition to Morning Glory, The "Haisai Girls" minigame is a surprisingly deep minigame that essentially turns this into Dynasty Warriors! You manage a biker gang, recruit members, and fight massive real-time battles against dozens of enemies at once. It has an entire storyline, and I'm surprised it wasn't marketed more! As for Dark Ties, it's a roughly 3 hour playthrough that's a must play for Yakuza fans. It dives deeper into Mine’s backstory and explains some of the... plot twists that were featured in the base game. The soundtrack is also excellent (better than the main game), and the faster pace is a refreshing break from the base game’s slower burn. Final Verdict: Kiwami 3 is the logical next step for those coming off Kiwami 2, one of my favorites in the series. Fans of the original may be disappointed with some of the changes, but the expanded Morning Glory and the refined combat system makes this the definitive way to experience Kiryu's Okinawa chapter. Returning to the streets of Kamurocho always feels like home and Dark Ties was a nice bonus that leaves questions for the future of the series. Kagawa should have been recast, and I'm still not sure why they changed up such key characters to the game, but it's a solid remake that ushers in a new era for the franchise. 🟢 Combat is at an all time high 🟢 Morning Glory content steals the show 🟢 Dark Ties is an added bonus that's mandatory for fans 🟢 Character models look excellent 🔴 Kagawa should have been recast 🔴 New character redesigns lack the charm of the original Final Score: 7.5/10 (Good) Playtime: 30 hours Platform: Steam Thank you to SEGA and RGG Studio for providing review code. #YakuzaKiwami3 #LikeADragon

KAMI

13,900 Aufrufe • vor 6 Monaten

Introducing Fincopy: Revolutionizing Family Account Management 🚀 Visit: Managing multiple family accounts just got easier with Fincopy, our platform designed to streamline and optimize your trading experience. Fincopy helps you to execute multiple orders across various family accounts simultaneously, providing efficiency and ease. Key Features of Fincopy: 1. Server-Based Copying 💻: With Fincopy's server-based technology, you can initiate the copy function, log off your PC, and rest assured that all orders placed via web, mobile, and desktop applications will continue to be copied seamlessly. 2. Real-Time Telegram Updates 📲: Stay informed on the go with instant order updates and account status notifications delivered directly to your Telegram. Keep track of your trading activities wherever you are. 3. Comprehensive Position Monitoring 📺: Monitor all open and closed orders and positions across your accounts in one centralized location. Fincopy provides a complete overview of your trading landscape, ensuring you never miss a detail. 4. Effortless Rebalancing ⚖️: If discrepancies arise in positions or quantities, Fincopy's rebalancing feature allows you to adjust with a single click, ensuring all accounts remain perfectly aligned. 5. Auto Slicing and Rate Limit Management 🔪: When order slicing is necessary while copying. Fincopy automatically handles the process, by sending sliced orders. For large orders, our built-in queuing system efficiently manages rate limits, ensuring smooth execution. 6. Advanced Order Management 💹: Simplify your trading operations with the ability to square off all open orders or positions with one click, or selectively cancel orders directly from the platform. Fincopy puts you in full control. 7. Multi-Broker Support ✅: Fincopy currently supports seven brokers, with plans to expand further. This ensures you can manage your family accounts across different platforms without hassle. 8. Run Your System Trades and Copy the Orders Simultaneously 👩‍💻 By combining Fincopy with Fintarget you will be able to automate your system trading for free and copy the orders to multiple accounts. Pricing: Starting from 299/ Month/ Account with 7 Day Free Trail Explore Today🚀 Try out family account management with Fincopy. Visit and request a demo to experience the platform. Note: Fincopy is designed exclusively for managing family accounts, as managing public accounts is not legally permitted. Experience efficiency with Fincopy today.

Introducing Fincopy: Revolutionizing Family Account Management 🚀 Visit: Managing multiple family accounts just got easier with Fincopy, our platform designed to streamline and optimize your trading experience. Fincopy helps you to execute multiple orders across various family accounts simultaneously, providing efficiency and ease. Key Features of Fincopy: 1. Server-Based Copying 💻: With Fincopy's server-based technology, you can initiate the copy function, log off your PC, and rest assured that all orders placed via web, mobile, and desktop applications will continue to be copied seamlessly. 2. Real-Time Telegram Updates 📲: Stay informed on the go with instant order updates and account status notifications delivered directly to your Telegram. Keep track of your trading activities wherever you are. 3. Comprehensive Position Monitoring 📺: Monitor all open and closed orders and positions across your accounts in one centralized location. Fincopy provides a complete overview of your trading landscape, ensuring you never miss a detail. 4. Effortless Rebalancing ⚖️: If discrepancies arise in positions or quantities, Fincopy's rebalancing feature allows you to adjust with a single click, ensuring all accounts remain perfectly aligned. 5. Auto Slicing and Rate Limit Management 🔪: When order slicing is necessary while copying. Fincopy automatically handles the process, by sending sliced orders. For large orders, our built-in queuing system efficiently manages rate limits, ensuring smooth execution. 6. Advanced Order Management 💹: Simplify your trading operations with the ability to square off all open orders or positions with one click, or selectively cancel orders directly from the platform. Fincopy puts you in full control. 7. Multi-Broker Support ✅: Fincopy currently supports seven brokers, with plans to expand further. This ensures you can manage your family accounts across different platforms without hassle. 8. Run Your System Trades and Copy the Orders Simultaneously 👩‍💻 By combining Fincopy with Fintarget you will be able to automate your system trading for free and copy the orders to multiple accounts. Pricing: Starting from 299/ Month/ Account with 7 Day Free Trail Explore Today🚀 Try out family account management with Fincopy. Visit and request a demo to experience the platform. Note: Fincopy is designed exclusively for managing family accounts, as managing public accounts is not legally permitted. Experience efficiency with Fincopy today.

Saketh R

76,359 Aufrufe • vor 2 Jahren

GM GM GM! ฅ/ᐠ >⩊<マฅ Ⳋ ₚᵤᵣᵣᵣ! ✨𝑷𝑹𝑬-𝑹𝑬𝑮𝑰𝑺𝑻𝑬𝑹➤ 💋Senpai has many goodies for you today: a 6-minute video full of epic energy and vibes, amazing rewards for pre-registering, redeemable codes, and more! ⛩️𝚂𝙴𝙴 𝙰𝙻𝙻 𝙳𝙴𝚃𝙰𝙸𝙻𝚂🔻 🌐𝐍𝐞𝐯𝐞𝐫𝐧𝐞𝐬𝐬 𝐭𝐨 𝐄𝐯𝐞𝐫𝐧𝐞𝐬𝐬 is launching globally on the 29𝘁𝗵 on 𝗣𝗦5, the 𝗔𝗽𝗽 𝗦𝘁𝗼𝗿𝗲, and 𝗚𝗼𝗼𝗴𝗹𝗲 𝗣𝗹𝗮𝘆, so do not miss your chance to pre-register and benefit from the amazing rewards the team has prepared for you! 💎𝐎𝐍 𝐋𝐀𝐔𝐍𝐂𝐇 ♦️470+ pulls available in Version 1.0 ~ 28,565 premium currency ( 170 limited pulls ) ~ 169 standard dice [🔵] ~ 32 limited dice [🔴] ~ 105 weapon pulls [ 🗝️ ] One 🅢-rank character is guaranteed, and you can obtain 2 more 🅐-rank characters for free along the way! 🎲𝐆𝐀𝐂𝐇𝐀 𝐒𝐘𝐒𝐓𝐄𝐌: A unique dice-based board game style that’s incredibly fun! 🎟️𝐆𝐈𝐅𝐓 𝐂𝐎𝐃𝐄𝐒🔻 ~ you can find them in my video ^o^ 🕹️𝐀𝐁𝐎𝐔𝐓 𝐍𝐓𝐄 💜Neverness to Everness (NTE) is an upcoming free-to-play open-world action RPG with gacha elements by Hotta Studio. Set in a modern city filled with supernatural anomalies, you play as an Appraiser who investigates and fights strange events while exploring the open world. It features real-time combat, character collection, driving, and life-sim activities, and is releasing on PS5, the App Store, and Google Play. 💻 #NTE #NTECREATOR #nte予告番組 #NevernesstoEverness #GachaGame #AnimeGame #WaifuGame #Gaming #AnimeRPG 🎬🎧𝑴𝒆𝒐𝒘, 𝑰 𝒉𝒐𝒑𝒆 𝒚𝒐𝒖 𝒈𝒖𝒚𝒔 𝒆𝒏𝒋𝒐𝒚𝒆𝒅 𝒎𝒚 𝒗𝒊𝒅𝒆𝒐 𝒂𝒏𝒅 𝒑𝒐𝒔𝒕. 𝑺𝒆𝒆 𝒚𝒐𝒖 𝒍𝒐𝒗𝒆𝒍𝒚 𝒑𝒆𝒐𝒑𝒍𝒆 𝒂𝒕 𝒍𝒂𝒖𝒏𝒄𝒉! 💋𝗢𝗻𝗹𝘆 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗳𝗼𝗿 𝘆𝗼𝘂 𝗺𝘆 𝗹𝗼𝘃𝗲!

GM GM GM! ฅ/ᐠ >⩊<マฅ Ⳋ ₚᵤᵣᵣᵣ! ✨𝑷𝑹𝑬-𝑹𝑬𝑮𝑰𝑺𝑻𝑬𝑹➤ 💋Senpai has many goodies for you today: a 6-minute video full of epic energy and vibes, amazing rewards for pre-registering, redeemable codes, and more! ⛩️𝚂𝙴𝙴 𝙰𝙻𝙻 𝙳𝙴𝚃𝙰𝙸𝙻𝚂🔻 🌐𝐍𝐞𝐯𝐞𝐫𝐧𝐞𝐬𝐬 𝐭𝐨 𝐄𝐯𝐞𝐫𝐧𝐞𝐬𝐬 is launching globally on the 29𝘁𝗵 on 𝗣𝗦5, the 𝗔𝗽𝗽 𝗦𝘁𝗼𝗿𝗲, and 𝗚𝗼𝗼𝗴𝗹𝗲 𝗣𝗹𝗮𝘆, so do not miss your chance to pre-register and benefit from the amazing rewards the team has prepared for you! 💎𝐎𝐍 𝐋𝐀𝐔𝐍𝐂𝐇 ♦️470+ pulls available in Version 1.0 ~ 28,565 premium currency ( 170 limited pulls ) ~ 169 standard dice [🔵] ~ 32 limited dice [🔴] ~ 105 weapon pulls [ 🗝️ ] One 🅢-rank character is guaranteed, and you can obtain 2 more 🅐-rank characters for free along the way! 🎲𝐆𝐀𝐂𝐇𝐀 𝐒𝐘𝐒𝐓𝐄𝐌: A unique dice-based board game style that’s incredibly fun! 🎟️𝐆𝐈𝐅𝐓 𝐂𝐎𝐃𝐄𝐒🔻 ~ you can find them in my video ^o^ 🕹️𝐀𝐁𝐎𝐔𝐓 𝐍𝐓𝐄 💜Neverness to Everness (NTE) is an upcoming free-to-play open-world action RPG with gacha elements by Hotta Studio. Set in a modern city filled with supernatural anomalies, you play as an Appraiser who investigates and fights strange events while exploring the open world. It features real-time combat, character collection, driving, and life-sim activities, and is releasing on PS5, the App Store, and Google Play. 💻 #NTE #NTECREATOR #nte予告番組 #NevernesstoEverness #GachaGame #AnimeGame #WaifuGame #Gaming #AnimeRPG 🎬🎧𝑴𝒆𝒐𝒘, 𝑰 𝒉𝒐𝒑𝒆 𝒚𝒐𝒖 𝒈𝒖𝒚𝒔 𝒆𝒏𝒋𝒐𝒚𝒆𝒅 𝒎𝒚 𝒗𝒊𝒅𝒆𝒐 𝒂𝒏𝒅 𝒑𝒐𝒔𝒕. 𝑺𝒆𝒆 𝒚𝒐𝒖 𝒍𝒐𝒗𝒆𝒍𝒚 𝒑𝒆𝒐𝒑𝒍𝒆 𝒂𝒕 𝒍𝒂𝒖𝒏𝒄𝒉! 💋𝗢𝗻𝗹𝘆 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝗳𝗼𝗿 𝘆𝗼𝘂 𝗺𝘆 𝗹𝗼𝘃𝗲!

🌸𝐒𝐄𝐍𝐏𝐀𝐈 先輩🍜

660,017 Aufrufe • vor 4 Monaten

How NEAR Intents are Solving Crypto's Biggest Problems | Free the Money Ep. 36 Alex Shevchenko is the Co-founder and CEO of Aurora Labs and Defuse Labs, the team behind NEAR Intents, the universal liquidity protocol for on-chain markets and tokenized assets. With a PhD in Applied Physics, Alex Shevchenko 🇺🇦 has been building blockchain infrastructure since 2015 and helped launch Rainbow Bridge, Aurora, and NEAR Intents. Today, NEAR Intents’ infrastructure handles the majority of cross-chain trading volume outside same-asset transfers. •Why blockchain fragmentation is crypto's biggest obstacle to mainstream adoption •How NEAR Intents creates a universal liquidity layer across blockchains •What a fully agentic economy actually looks like and why AI agents will need their own financial infrastructure •Why open AI models are catching up to Big Tech and why personal AI could become the future •Why nearly $16 trillion in real-world assets (RWAs) could be tokenized by 2030 and why interoperability will be critical •How NEAR's ~$79 million in daily volume generates an average of ~$158,000 in daily $NEAR buybacks •Near's Confidential Intents: private cross-chain trading using a private shard and trusted execution environments (TEEs) •Why the CLARITY Act could accelerate institutional adoption and bring new capital into crypto •Why $470 billion worth of Bitcoin is exposed to quantum attacks and how NEAR Protocol is preparing with post-quantum cryptography Remember to subscribe and hit the bell "🔔" icon to get notifications. Check out my favorite privacy coin, Zano and follow Zano for updates. You can buy Zano seamlessly on MEXC using a VPN, or browse the full list of exchanges where Zano is available here: You can also find educational content, tutorials, and interviews on the official Zano YouTube Channel: 0:00 Alex's Journey from Applied Physics 2:25 The Origin Story Behind NEAR Intents & Cross-Chain Infrastructure 4:14 Blockchain Fragmentation: Liquidity, Markets & Why Crypto Still Feels Broken 8:59 How NEAR Intents Work Under the Hood (Chain Signatures, Settlement & Self-Custody) 12:52 Building the Financial Backbone of the Agentic Economy (MPP, AI & NEAR's Vision) 16:58 When Will the Agentic Economy Arrive? Alex's Prediction 18:16 Distillation & Open vs Closed AI Models 24:32 NEAR AI: Private Inference & Running AI Without Giving Up Your Data 25:31 $80M Daily Volume, $NEAR Buybacks & Tokenomics 29:41 Why RWAs Need NEAR Intents 33:37 The Agentic Economy Explained: Cross-Agent Interactions 37:17 AI Will Disrupt Subscription Models: The Case for Agentic Micropayments 40:00 Why Privacy Matters: Zano 42:02 Confidential Intents Explained 47:53 Why the CLARITY Act Could Unlock Institutional Capital for Crypto 51:29 Quantum Computing Threats & How NEAR Is Preparing with Post-Quantum Cryptography NEAR Protocol NEAR AI NEAR Mobile | Wallet & DEX

How NEAR Intents are Solving Crypto's Biggest Problems | Free the Money Ep. 36 Alex Shevchenko is the Co-founder and CEO of Aurora Labs and Defuse Labs, the team behind NEAR Intents, the universal liquidity protocol for on-chain markets and tokenized assets. With a PhD in Applied Physics, Alex Shevchenko 🇺🇦 has been building blockchain infrastructure since 2015 and helped launch Rainbow Bridge, Aurora, and NEAR Intents. Today, NEAR Intents’ infrastructure handles the majority of cross-chain trading volume outside same-asset transfers. •Why blockchain fragmentation is crypto's biggest obstacle to mainstream adoption •How NEAR Intents creates a universal liquidity layer across blockchains •What a fully agentic economy actually looks like and why AI agents will need their own financial infrastructure •Why open AI models are catching up to Big Tech and why personal AI could become the future •Why nearly $16 trillion in real-world assets (RWAs) could be tokenized by 2030 and why interoperability will be critical •How NEAR's ~$79 million in daily volume generates an average of ~$158,000 in daily $NEAR buybacks •Near's Confidential Intents: private cross-chain trading using a private shard and trusted execution environments (TEEs) •Why the CLARITY Act could accelerate institutional adoption and bring new capital into crypto •Why $470 billion worth of Bitcoin is exposed to quantum attacks and how NEAR Protocol is preparing with post-quantum cryptography Remember to subscribe and hit the bell "🔔" icon to get notifications. Check out my favorite privacy coin, Zano and follow Zano for updates. You can buy Zano seamlessly on MEXC using a VPN, or browse the full list of exchanges where Zano is available here: You can also find educational content, tutorials, and interviews on the official Zano YouTube Channel: 0:00 Alex's Journey from Applied Physics 2:25 The Origin Story Behind NEAR Intents & Cross-Chain Infrastructure 4:14 Blockchain Fragmentation: Liquidity, Markets & Why Crypto Still Feels Broken 8:59 How NEAR Intents Work Under the Hood (Chain Signatures, Settlement & Self-Custody) 12:52 Building the Financial Backbone of the Agentic Economy (MPP, AI & NEAR's Vision) 16:58 When Will the Agentic Economy Arrive? Alex's Prediction 18:16 Distillation & Open vs Closed AI Models 24:32 NEAR AI: Private Inference & Running AI Without Giving Up Your Data 25:31 $80M Daily Volume, $NEAR Buybacks & Tokenomics 29:41 Why RWAs Need NEAR Intents 33:37 The Agentic Economy Explained: Cross-Agent Interactions 37:17 AI Will Disrupt Subscription Models: The Case for Agentic Micropayments 40:00 Why Privacy Matters: Zano 42:02 Confidential Intents Explained 47:53 Why the CLARITY Act Could Unlock Institutional Capital for Crypto 51:29 Quantum Computing Threats & How NEAR Is Preparing with Post-Quantum Cryptography NEAR Protocol NEAR AI NEAR Mobile | Wallet & DEX

Bri Teresi

179,059 Aufrufe • vor 1 Monat

I just found one of the biggest platform bug on Polymarket that cost me my $8.5k portfolio today. Please watch this video. I opened the exact same BTC 5m market on two different devices right next to each other. My computer monitor shows 2 minutes and 50 seconds remaining. My MacBook shows 4 minutes and 02 seconds remaining. There is more than a full minute of time difference on the exact same live market. This video is undeniable proof of exactly why I lost my money today. I was trading on my computer earlier and I waited until the 5m time frame end. When Polymarket UI showed me on my computer the timeframe was completely over and the price was safely above the target, I placed a market up order to provide liquidity. I was 100 percent sure it was a zero risk move because your platform timer showed me the market was already finished and BTC price is up from the beat price. But because of this bug my computer timer was closing 1 minute earlier than the real market time. So after I placed my order believing the market was settled as Up, the actual market was still open. It kept counting the Bitcoin price movements for the next full minute after I placed my trade. During that hidden extra minute the price of BTC dropped and the market finally settled Down, instantly wiping out my entire portfolio. When people told me it might be a UI delay I was shocked, but now I have it on video. The Polymarket timer is completely broken and out of sync across devices. My Polymarket wallet address is: 0xf0AD2eeb8F898619460a38c015a7897a4E797651 Trade URL 1: Trade URL 2: On those above two trade i lost total $8500 The first video I just recorded now when i noticed this bugs and the second video i made when my trade lost and i didn’t have any reason how its happened. I am begging Shayne Coplan 🦅 and the Polymarket support team to review this video. I did not make a trading mistake. I trusted a broken platform timer that showed completely wrong data and forced me into an active market I thought was closed. Please fix this massive bug protect your user and refund my loses.

I just found one of the biggest platform bug on Polymarket that cost me my $8.5k portfolio today. Please watch this video. I opened the exact same BTC 5m market on two different devices right next to each other. My computer monitor shows 2 minutes and 50 seconds remaining. My MacBook shows 4 minutes and 02 seconds remaining. There is more than a full minute of time difference on the exact same live market. This video is undeniable proof of exactly why I lost my money today. I was trading on my computer earlier and I waited until the 5m time frame end. When Polymarket UI showed me on my computer the timeframe was completely over and the price was safely above the target, I placed a market up order to provide liquidity. I was 100 percent sure it was a zero risk move because your platform timer showed me the market was already finished and BTC price is up from the beat price. But because of this bug my computer timer was closing 1 minute earlier than the real market time. So after I placed my order believing the market was settled as Up, the actual market was still open. It kept counting the Bitcoin price movements for the next full minute after I placed my trade. During that hidden extra minute the price of BTC dropped and the market finally settled Down, instantly wiping out my entire portfolio. When people told me it might be a UI delay I was shocked, but now I have it on video. The Polymarket timer is completely broken and out of sync across devices. My Polymarket wallet address is: 0xf0AD2eeb8F898619460a38c015a7897a4E797651 Trade URL 1: Trade URL 2: On those above two trade i lost total $8500 The first video I just recorded now when i noticed this bugs and the second video i made when my trade lost and i didn’t have any reason how its happened. I am begging Shayne Coplan 🦅 and the Polymarket support team to review this video. I did not make a trading mistake. I trusted a broken platform timer that showed completely wrong data and forced me into an active market I thought was closed. Please fix this massive bug protect your user and refund my loses.

Sheikh Silicon

88,738 Aufrufe • vor 5 Monaten