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'Marvel vs Capcom Infinite & Beyond' releases December 20 🎮 • Large scale mod created by ~40 fans over 8 months • Has new modes, visuals, and revamped gameplay • Completely free (via Marvel vs. Capcom Infinite & Beyond)

Culture Crave 🍿

995,751 subscribers

1,642,343 görüntüleme • 1 yıl önce •via X (Twitter)

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scrit profil fotoğrafı

scrit1 yıl önce

@MVCI_Beyond record breaking speedrun for getting taken down incoming

RedDeer.Games IR profil fotoğrafı

RedDeer.Games IR2 yıl önce

🌟 Discover Amazing Games! 🌟 Click Now! >>> Unlock a world of incredible adventures with RedDeerGames on #Steam. Dive into our unique and captivating games today! 👉 Visit & FOLLOW on Steam >>>

SagatForSf6 🐅👑 profil fotoğrafı

SagatForSf6 🐅👑1 yıl önce

@MVCI_Beyond The artist behind this killed it.🔥🔥🔥

🎀 profil fotoğrafı

🎀1 yıl önce

@MVCI_Beyond The art work

🏴‍☠️Nasdorachi🏴‍☠️ profil fotoğrafı

🏴‍☠️Nasdorachi🏴‍☠️1 yıl önce

@MVCI_Beyond bro i hope this mod makes the sales of the game spike up so capcom knows what they had.

Bryce Storbakken profil fotoğrafı

Bryce Storbakken1 yıl önce

@MVCI_Beyond Love seeing these characters in this art style

𝕂ing 👑 Awk | Deserved.| profil fotoğrafı

𝕂ing 👑 Awk | Deserved.|1 yıl önce

@MVCI_Beyond Brother! Max and my beloved Fighting game community have out done themselves. I will buy MVCI again to try this mod. Great work!

Dewd profil fotoğrafı

Dewd1 yıl önce

@MVCI_Beyond I saw Max showcase a little bit of this a while ago but, HOLY Max and the team actually COOOOOOKED

Huff profil fotoğrafı

Huff1 yıl önce

@MVCI_Beyond Is this a new game?

Isaiah Mays-Vinson (Zaycool97) profil fotoğrafı

Isaiah Mays-Vinson (Zaycool97)1 yıl önce

@MVCI_Beyond Seen Maximilian's streams about the mod and it looks more impressive than what Capcom has to deliver as it follows the legacy of what makes MvC3 special. Lastly, I really enjoy the cel-shading graphics here!

it's_v profil fotoğrafı

it's_v1 yıl önce

@MVCI_Beyond Absolutely beautiful

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PAX Australia

20,318 görüntüleme • 24 gün önce

Nikhil Srinivasan sold his first company to Coinbase 🛡️ in 2018. A few years later, he went on to lead product on Sardine's AI risk platform. Last year he left to start Infinite. At Coinbase, his team added every new blockchain and asset to the platform beyond Bitcoin and Ethereum, including USDC. At Sardine, he led compliance while co-founder Raj led payments, and together they shipped one of the first real virtual account programs in stablecoins. Those two seats are where the thesis behind Infinite took shape. Infinite is a global B2B stablecoin processor backed by Y Combinator and Coinbase 🛡️, settling same-day payments to 170+ countries. His bet is simple. Stablecoins are rewriting the rails of global payments, and compliance is what decides who actually wins. Nikhil Srinivasan sat down with Drew Rogers in San Francisco. 00:00 - "There's a whole story as to how we got to this problem" 02:35 - Infinite, and the team that shipped at Sardine 06:25 - Virtual accounts: the light-bulb moment 13:10 - The visibility gap on the international leg 16:57 - First-party vs third-party, and why nesting is the quiet risk 22:32 - Inside the stablecoin sandwich 28:52 - "People think compliance is deterministic and static" 35:14 - The end of emailing passport scans 40:41 - Bitso, Trace, Conduit, Yellow Card - allies, not competition 46:08 - "Go bare metal" - Tom Blomfield's YC advice 52:42 - Agentic commerce and machine-to-machine money 56:51 - Do foundation model companies become payment companies? Episode 0047, Presented by Altitude

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Stern Pinball

50,426 görüntüleme • 1 yıl önce

these UGC creators have driven 5 billion+ views for consumer apps in the past 90 days. I talked to Drew Levin from SideShift and he broke down the viral formats working right now (it's not just hook & demo anymore) full vid👇 0:00 - Sourcing UGC from apps driving 500M+ views 0:15 - Engineering virality and leveraging AI controversy 3:59 - The shift from massive influencer campaigns to authentic UGC 4:38 - New format strategy: 10-minute long-form story videos 5:57 - Using rage bait and health trends to capture watch time 8:40 - Scaling UGC programs with campaign managers and content coaches 9:29 - Creator Managers (logistics) vs. Content Coaches (creative feedback) 10:41 - The winning manager-to-creator scaling ratio 13:00 - Finding golden formats and frictionless creator onboarding 16:40 - Format Deconstruction: A 9.6M-view talking head case study 18:21 - Using engagement rate as a predictive virality indicator 24:44 - The "Duolingo-style" training program to mint new talent 29:00 - Case Study: Reaching #1 on the App Store via Spark Ads 29:44 - Protecting budgets: Isolating paid spend from creator bonuses 32:28 - Algorithmic and UI differences: Meta Partnership vs. TikTok Spark Ads 34:21 - The infinite growth glitch: Traffic quality of organic-boosted spend 35:45 - The 3-5x rule: Using paid spend to lift organic shadowbans 42:38 - Creator compensation: Retainer base vs. stacked milestone structures 44:06 - Payout optimization: Capitalizing on the "free view" framework 45:45 - What to expect: Realistic CPM progression over the first 90 days

these UGC creators have driven 5 billion+ views for consumer apps in the past 90 days. I talked to Drew Levin from SideShift and he broke down the viral formats working right now (it's not just hook & demo anymore) full vid👇 0:00 - Sourcing UGC from apps driving 500M+ views 0:15 - Engineering virality and leveraging AI controversy 3:59 - The shift from massive influencer campaigns to authentic UGC 4:38 - New format strategy: 10-minute long-form story videos 5:57 - Using rage bait and health trends to capture watch time 8:40 - Scaling UGC programs with campaign managers and content coaches 9:29 - Creator Managers (logistics) vs. Content Coaches (creative feedback) 10:41 - The winning manager-to-creator scaling ratio 13:00 - Finding golden formats and frictionless creator onboarding 16:40 - Format Deconstruction: A 9.6M-view talking head case study 18:21 - Using engagement rate as a predictive virality indicator 24:44 - The "Duolingo-style" training program to mint new talent 29:00 - Case Study: Reaching #1 on the App Store via Spark Ads 29:44 - Protecting budgets: Isolating paid spend from creator bonuses 32:28 - Algorithmic and UI differences: Meta Partnership vs. TikTok Spark Ads 34:21 - The infinite growth glitch: Traffic quality of organic-boosted spend 35:45 - The 3-5x rule: Using paid spend to lift organic shadowbans 42:38 - Creator compensation: Retainer base vs. stacked milestone structures 44:06 - Payout optimization: Capitalizing on the "free view" framework 45:45 - What to expect: Realistic CPM progression over the first 90 days

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Today's Training Data episode takes us BTS on the infrastructure challenges required to do large RL runs at scale, featuring Federico Cassano (Composer Lead at Cursor) and Dmytro Dzhulgakov (Co-Founder at Fireworks AI). The Cursor team trained Composer 2 on Fireworks by starting with a strong base model (Kimi 2.5) and performing large-scale mid-training on code tokens and web data to learn common patterns and libraries, followed by a large-scale Reinforcement Learning run to learn how to navigate the Cursor harness, call tools, and write correct code. Today's episode dives into the systems and infrastructure challenges of making that large RL run happening, and there were many (!!), from numerical mismatch to global distribution to synchronizing rollouts across asynchronous pipelines to keeping track of expert activation across runs and more. Extremely nerdy in-the-weeds challenges that Federico and Dima were delighted to nerd out on together :) Beyond RL infra, we also discussed Online vs Simulated rollouts, self-summarization for long-horizon agents, environment design ("the most powerful RL environment is the product itself"), and other technical nuggets. PS: We filmed this episode before the SpaceX news, while the Cursor team was still compute-constrained. While Cursor now has *all* the flops, the takeaways and hurdles crossed ring true for any serious application-level company that is racing to post-train their own models. I believe that more serious application companies will go the way of Cursor and post-train their own models. 00:00 Introduction 00:53 Why Cursor Trained Composer 2 04:55 Specialization vs Bitter Lesson 06:16 Composer 2 Training Recipe 16:32 Scaling RL Infrastructure Globally 23:32 Floating Point Drift 25:11 MoE Sensitivity Explained 26:25 Router Replay Fix 27:19 Real Time RL Loop 31:49 Long Horizon Agents 34:29 Why RL Everywhere 37:34 LLM as Judge Rewards 39:14 RL in Hard Domains 40:13 Build Your Own Environments 44:34 Closing Thoughts

Today's Training Data episode takes us BTS on the infrastructure challenges required to do large RL runs at scale, featuring Federico Cassano (Composer Lead at Cursor) and Dmytro Dzhulgakov (Co-Founder at Fireworks AI). The Cursor team trained Composer 2 on Fireworks by starting with a strong base model (Kimi 2.5) and performing large-scale mid-training on code tokens and web data to learn common patterns and libraries, followed by a large-scale Reinforcement Learning run to learn how to navigate the Cursor harness, call tools, and write correct code. Today's episode dives into the systems and infrastructure challenges of making that large RL run happening, and there were many (!!), from numerical mismatch to global distribution to synchronizing rollouts across asynchronous pipelines to keeping track of expert activation across runs and more. Extremely nerdy in-the-weeds challenges that Federico and Dima were delighted to nerd out on together :) Beyond RL infra, we also discussed Online vs Simulated rollouts, self-summarization for long-horizon agents, environment design ("the most powerful RL environment is the product itself"), and other technical nuggets. PS: We filmed this episode before the SpaceX news, while the Cursor team was still compute-constrained. While Cursor now has all the flops, the takeaways and hurdles crossed ring true for any serious application-level company that is racing to post-train their own models. I believe that more serious application companies will go the way of Cursor and post-train their own models. 00:00 Introduction 00:53 Why Cursor Trained Composer 2 04:55 Specialization vs Bitter Lesson 06:16 Composer 2 Training Recipe 16:32 Scaling RL Infrastructure Globally 23:32 Floating Point Drift 25:11 MoE Sensitivity Explained 26:25 Router Replay Fix 27:19 Real Time RL Loop 31:49 Long Horizon Agents 34:29 Why RL Everywhere 37:34 LLM as Judge Rewards 39:14 RL in Hard Domains 40:13 Build Your Own Environments 44:34 Closing Thoughts

Sonya Huang 🐥

78,706 görüntüleme • 1 ay önce

#WATCH | Delhi: On letter of over 100 prominent citizens from India & Pakistan to both PMs for 'restoring peace, normalcy, dialogue', Congress MP Manish Tewari says, "It's extremely unfortunate that some people have forgotten the Baisaran massacre. It has been only 1 year 2 months and 8 days since innocent tourists where mercilessly butchered in front of their families in the name of their faith. Pakistan's perfidy, its export of terror against India, its desire for retribution to bleed India with a thousand cuts now goes back almost 5 decades when we dismembered Pakistan and created a new country called Bangladesh. So, over these 5 decades every effort that India made to reach out to Pakistan had been followed by a terror attack sponsored by Pakistan. I am really surprised as to how these very eminent people can forget this history. What do you want to talk to Pakistan about? What is it that India wants from Pakistan? The only thing India wants from Pakistan is that there should be no export of terror. So, under those circumstances this misty-eyed romanticism about wanting to normalise relaationships with a country which has been hell-bent upon creating a mayhem and terror in India is completely inexplicable, completely beyond comprehension. God alone knows where this pressure is coming from, which is that invisible hand which seems to be pressurising people in India to try and normalise..."

#WATCH | Delhi: On letter of over 100 prominent citizens from India & Pakistan to both PMs for 'restoring peace, normalcy, dialogue', Congress MP Manish Tewari says, "It's extremely unfortunate that some people have forgotten the Baisaran massacre. It has been only 1 year 2 months and 8 days since innocent tourists where mercilessly butchered in front of their families in the name of their faith. Pakistan's perfidy, its export of terror against India, its desire for retribution to bleed India with a thousand cuts now goes back almost 5 decades when we dismembered Pakistan and created a new country called Bangladesh. So, over these 5 decades every effort that India made to reach out to Pakistan had been followed by a terror attack sponsored by Pakistan. I am really surprised as to how these very eminent people can forget this history. What do you want to talk to Pakistan about? What is it that India wants from Pakistan? The only thing India wants from Pakistan is that there should be no export of terror. So, under those circumstances this misty-eyed romanticism about wanting to normalise relaationships with a country which has been hell-bent upon creating a mayhem and terror in India is completely inexplicable, completely beyond comprehension. God alone knows where this pressure is coming from, which is that invisible hand which seems to be pressurising people in India to try and normalise..."

ANI

268,769 görüntüleme • 16 gün önce

🇺🇸🇮🇷 INTERVIEW: HEATED DEBATE ON WHETHER THE U.S. SHOULD STRIKE IRAN Tensions are rising fast, military options are on the table, and the debate over deterrence versus escalation is reaching a boiling point. NYT Best Seller Joel Rosenberg argues Iran has spent decades funding armed proxy groups that kill Americans and U.S. allies, says diplomacy has failed, and supports a large but limited strike to punish the regime without triggering full-scale war. He frames military action as necessary to protect U.S. credibility, allies in the region, and to stop Iran’s missile capabilities from growing unchecked. Prof. Glenn Diesen rejects that outright, warning any strike would escalate the conflict, push Iran toward nuclear deterrence, and risk a regional war driven by security competition. Glenn accuses Washington of ignoring Iran’s security concerns, while Joel fires back that Glenn is excusing one of the world’s most brutal regimes. Enjoy this conversation with Glenn Diesen and Joel C. Rosenberg 01:15 - Should the U.S. attack Iran? Trump’s 3 options. 02:53 - Prediction: Trump will choose a “large but limited strike.” 03:41 - Regime change via air power alone: Practical military limitations vs political goals. 06:48 - Ethnic fragmentation risks of Iranian regime collapse. 07:31 - Iran would respond “all out” to any strike. 10:42 - Who started hostilities? 1953 coup vs embassy takeover. 12:35 - Failures of past U.S. interventions (Iraq, Libya, Afghanistan). 15:49 - Does Iran need to be an enemy of the U.S.? 16:05 - Israel, Iran, the U.S., and targeting. 20:34 - Were Iraq/Afghanistan “successful”? Success vs moral cost. 23:05 - Is the U.S. the problem? 28:15 - Nuclear facilities strike vs diplomacy argument. 32:54 - Ballistic missiles vs nuclear weapons as the real threat. 38:21 - Is Israel a threat to Gulf Nations? 45:54 - Israeli Foreign Policy, Law, and its ties to Arabs and Iran. 57:48 - End-of-year predictions for Iran and regional escalation.

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Mario Nawfal

1,798,098 görüntüleme • 5 ay önce

After 18 months in stealth, I am beyond excited to announce Adora: a completely new way to visualize your entire product experience. Adora helps world-class product teams like Canva, Notion and Linktree to deeply understand their user-journeys, uncover friction and center their team around a product source-of-truth. As products scale, it becomes near impossible to know what your own product looks like. Different teams building for different users – free vs paid, running experiments, markets and languages. My co-founder Nathan and I both shared this frustration. I was previously the Head of Product Growth at Canva, and with 220m+ monthly active-users, this was a frequent pain-point. Whereas Nathan ran into this whilst leading engineering teams at Amazon shipping the Buy-with-Prime integration to millions of shoppers. But it's not just a big-company problem – startups scaling fast echo these same frustrations. Adora auto-captures every screen and user-journey in your live product experience, overlaid with realtime screenshots, visual analytics and session replays, so you can instantly understand how users experience your product. We’re super proud of the product we’ve built and invite you to be one of the first to experience Adora by joining our waitlist – link in replies.

After 18 months in stealth, I am beyond excited to announce Adora: a completely new way to visualize your entire product experience. Adora helps world-class product teams like Canva, Notion and Linktree to deeply understand their user-journeys, uncover friction and center their team around a product source-of-truth. As products scale, it becomes near impossible to know what your own product looks like. Different teams building for different users – free vs paid, running experiments, markets and languages. My co-founder Nathan and I both shared this frustration. I was previously the Head of Product Growth at Canva, and with 220m+ monthly active-users, this was a frequent pain-point. Whereas Nathan ran into this whilst leading engineering teams at Amazon shipping the Buy-with-Prime integration to millions of shoppers. But it's not just a big-company problem – startups scaling fast echo these same frustrations. Adora auto-captures every screen and user-journey in your live product experience, overlaid with realtime screenshots, visual analytics and session replays, so you can instantly understand how users experience your product. We’re super proud of the product we’ve built and invite you to be one of the first to experience Adora by joining our waitlist – link in replies.

omar ✌️

125,375 görüntüleme • 1 yıl önce

Why I use Cline - a free VS Code plugin - for AI engineering. Saoud Rizwan has: Flexible context management: It lets you include only what's relevant, making it ideal for large codebases. Attach files, folders, URLs and problems. Visualizes how much of the context window you've used too. Model flexibility: Cline isn't tied to one provider; it supports models from Anthropic, DeepSeek, Google Gemini, OpenAI, local models (via ollama or LM Studio) and more, allowing you to switch models for cost efficiency and capability. Plan/Act Modes: The v3.2.6 update introduces modes for designing solutions (Plan) or direct implementation (Act), providing control when you need it most. DeepSeek-R1 (Plan) + Claude 3.5 Sonnet (Act) workflow: This hybrid approach can reduce costs by up to 97% while improving output quality. DeepSeek as an architect, Sonnet for implementation. Checkpoints: Beyond git, Cline captures workspace states, offering granular rollback and comparison, especially useful for exploring solutions or debugging. Runtime awareness: Cline's integration with running systems is a game-changer, allowing real-time interaction with browsers (automatically check UI, interactions) and terminals to verify changes. Model Context Protocol (MCP): This allows for custom tool integration, making Cline extensible for specific enterprise needs without complex prompt engineering. How does it compare to alternatives? Cline shines with its system-level integration, model flexibility, and control, though it requires more attention to model selection and cost. My take: Cline aligns with professional engineering practices, offering control, visibility, and extensibility for complex system development. Totally worth considering for serious engineering teams.

Why I use Cline - a free VS Code plugin - for AI engineering. Saoud Rizwan has: Flexible context management: It lets you include only what's relevant, making it ideal for large codebases. Attach files, folders, URLs and problems. Visualizes how much of the context window you've used too. Model flexibility: Cline isn't tied to one provider; it supports models from Anthropic, DeepSeek, Google Gemini, OpenAI, local models (via ollama or LM Studio) and more, allowing you to switch models for cost efficiency and capability. Plan/Act Modes: The v3.2.6 update introduces modes for designing solutions (Plan) or direct implementation (Act), providing control when you need it most. DeepSeek-R1 (Plan) + Claude 3.5 Sonnet (Act) workflow: This hybrid approach can reduce costs by up to 97% while improving output quality. DeepSeek as an architect, Sonnet for implementation. Checkpoints: Beyond git, Cline captures workspace states, offering granular rollback and comparison, especially useful for exploring solutions or debugging. Runtime awareness: Cline's integration with running systems is a game-changer, allowing real-time interaction with browsers (automatically check UI, interactions) and terminals to verify changes. Model Context Protocol (MCP): This allows for custom tool integration, making Cline extensible for specific enterprise needs without complex prompt engineering. How does it compare to alternatives? Cline shines with its system-level integration, model flexibility, and control, though it requires more attention to model selection and cost. My take: Cline aligns with professional engineering practices, offering control, visibility, and extensibility for complex system development. Totally worth considering for serious engineering teams.

Addy Osmani

53,487 görüntüleme • 1 yıl önce

[Seoul Economic Daily] 260119 “Unmatched Fan Power” BTS JIN Proves His “World-Class” Presence 👩‍💼Numbers sometimes speak. Sometimes they reflect popularity, point to direction, and prove the flow of the times. But when those numbers are created by fans’ choices, their meaning becomes much deeper. The news we shared today clearly shows just how far those choices can reach. 🏆👩‍💼BTS JIN once again proved his global popularity by taking first place in the 2025 Heart Choice Awards in the Solo Artist Choice category. This award ceremony is the 2025 Heart Choice Awards, co-hosted by the pop fandom app Choeaedol and the global beauty brand Cell Fusion C. Under the concept “This year’s choice completed by hearts,” the most-loved artist of the year was selected through 100 percent fan voting. Voting took place from December 23, 2025, to January 4, 2026. When the results were revealed, fans’ attention immediately turned to JIN. In the final tally, JIN earned a total of 1,295 points, rising to first place in the Solo Artist category amid fierce competition. 👩‍💼This achievement carries more than the meaning of a simple ranking. At a time when both group and individual activities are receiving attention, it clearly shows that JIN continues to maintain top-tier influence as a solo artist as well. In particular, this win is even more meaningful because it was achieved solely through fans’ choices, not digital chart performance or broadcast exposure. 🏢👩‍💼Fans participated directly and created the result with their own hands. Within it are trust, affection, and the time spent waiting, all directed toward JIN. A reward advertisement for the first-place win will be revealed soon. On January 26, a congratulatory advertisement celebrating JIN’s first place will be displayed on the large digital screen at the COEX Superior Tower in Seoul. This advertisement is not just a promotional piece. It becomes a symbolic scene where global fans’ choices are realized as large-scale media in the heart of the city. It is the moment when fans’ hearts, which began online, expand into offline space. This achievement draws even more attention because another record overlapped around the same time. 🏆👩‍💼JIN also won the Male Popularity Award at the 40th Golden Disc Awards through fan voting. That vote ran from December 22, 2025, to January 5, 2026. Achieving meaningful results in two large-scale fan votes held almost simultaneously shows how organized and focused JIN’s fandom is. 👩‍💼This goes beyond simply having many fans. It is strong proof of a fandom that participates consistently and sees things through to the end. Through his solo activities, JIN has shown an expanded musical spectrum along with a more personal narrative. In the process, he has firmly established his own place not just as a member of a group, but as the artist JIN. This result confirms that his journey is being clearly delivered to fans as well. 👩‍💼Meanwhile, BTS, the group JIN belongs to, is preparing for a full comeback on March 20. As the members, each having added their own color and depth through solo activities, come together again as a team, attention is focused on what kind of new synergy they will show. In particular, anticipation is growing over how JIN’s expanded presence as a solo artist and the solid support of his fandom will blend into group activities. Something created by fans’ choices, and the fact that those choices continue. JIN’s latest win is not just a single trophy, but a reflection of the hearts of fans around the world who are still waiting for him and cheering him on. #JIN #방탄소년단진 방탄소년단 BIGHIT MUSIC BTS_official 서울경제신문 최애돌 Golden Disc #HeartChoiceAwards #Goldendiscawards

star_jin

12,691 görüntüleme • 5 ay önce