与「TRUE_FLAVOR」相关的搜索结果

【勝利の女神:NIKKE】 ✨.ﾟ･*..☆.｡.:*True Flavor ✨.☆.｡.:. *:ﾟ ﾌﾞﾚｯﾃﾞｨ🍞@r1ona_a1ra ｸﾗｽﾄ🍓@umekichi_cos07 ｴｰﾄﾞ🍀@looooove74 ﾃｨｱ🍩@Koko_beniRD 📷@disk_cam #NIKKEcosplay# #かわちぃニューフレーバーあわせ#

【コスプレ Cosplay】 ブレッディ（Bready）/勝利の女神:NIKKE 今週末True flavor併せなんだけど露出対策どうしようかな🤔 加工前提で衣装を作るからこうなる😇 #NIKKEcosplay# #NIKKE#

【コスプレ Cosplay】 ブレッディ（Bready）/勝利の女神:NIKKE True Flavorイベお疲れ様でした🤎 クッキングオイル部隊に幸あれ…🍴✨ #NIKKEcosplay# #니케#

🥐 TRUE FLAVOR 🍰 브래디가 행복할 수 있는 요리를 만드는 것이 첫 번째 목표였던 크러스트. 하지만 이번 사건으로 자신은 영영 브래디를 행복하게 만들 수 없는 것이 아닐까 처음으로 의심하게 된다. 이에 크러스트는 브래디가 맛봤던 지휘관처럼 기억도, 정보도 없는 음식을 연구하기 시작하는데···. * 인앱 구매(확률형 아이템 포함) #니케# #NIKKE# #TRUE_FLAVOR#

A wheat-growing powerhouse in Shandong province, Dezhou is also a true heavyweight in flour-based food culture. Here, a simple harvest is transformed into a spectacular array of flavors — from savory, flaky cakes to bowls of perfectly silky noodles. @TastesChina

Grilled salmon and chimichurri like a true Master of ‘Cue 🏆 BBQ Brawl winner Bob Trudnak came by Food Network Kitchen to share some of his favorite recipes! Get the recipe:

Texas head coach Mack Brown says the competition to replace Vince Young is heating up. 5 star true freshman Jevan Snead is the early favorite however redshirt freshman Colt McCoy who was a 3 star recruit in the 2005 class is expected to have a shot at the job as well.

The Government-Backed Virtua Fighter Crossroads: The Real Reason Behind METI’s IP360 Funding and the Biomechanical Reality of Motion Capture The Ministry of Economy, Trade and Industry (METI) recently selected titles for its IP360 investment initiative to scale Japanese gaming IPs globally. Alongside elite projects from Square Enix, Konami, and Koei Tecmo, Sega’s Virtua Fighter Crossroads has secured substantial state backing. While general audiences view this through a financial lens, analyzing it from a real-world martial arts and motion-capture perspective reveals a profound structural shift. This government boost ensures Sega possesses maximum capital to hire top stunt teams and world-class martial arts actors to record flawless, high-fidelity physical data, mirroring the heavy investment seen in Tekken 8. To understand the magnitude of this reality, look at Sega’s historical DNA. In 1994, when developing Shun Di’s Drunken Master style for Virtua Fighter 2, Sega’s staff famously traveled to mainland China to study traditional kung fu directly from legitimate masters. They brought high-level martial artists with exceptional skeletal alignment back to Japan to record their physical mass shifts using optical sensors. From its inception, the series rejected fabricated game-like animations in favor of authentic anatomical logic. With the new funding, Sega’s Ryu Ga Gotoku Studio can take this philosophy to its absolute limit. In the latest trailer, the masked fighter demonstrates an instant, zero-latency double-palm strike—a precise execution of the explosive power found in Southern Chinese styles like Hung Ga's Seurng Pek Cheung. Because the studio is scanning elite physical performers, the screen perfectly captures the precise muscle relaxation and root stabilization necessary to produce real kinetic force. However, anyone with decades of active combat experience can instantly spot the game-centric compromises, or minor oversights, in the choreography. The trailer shows the fighter delivering this zero-latency strike directly to the opponent’s face while maintaining a standing posture with one hand behind his back. Anatomically, a short-range strike designed to propagate internal shockwaves must target the center of mass, such as the solar plexus, where the kinetic energy cannot escape. Striking the face in a neutral stance simply causes the opponent’s neck to flex backward, safely absorbing and dissipating the energy. It is an aesthetic choice for visual impact, not combat efficiency. Yet, Sega deserves immense praise for their absolute refusal to rely on wire-action physics. Crossroads honors the laws of gravity, capturing the heavy, grounded weight of real combat. The friction, the footwork, and the structural alignment remain remarkably true to real-world physics. This METI funding news represents the resurrection of Sega’s original, uncompromising obsession with true martial arts logic, now amplified by a massive budget to compete with the industry's absolute best. For veterans relying solely on 20-year-old frame data memorization, the sheer volume of realistic telegraphing, weight shifts, and biomechanical indicators in this new system will be overwhelmingly difficult to process on Day 1. Real-world physical logic and elite-tier game knowledge scale infinitely, whereas simple data memorization hits a ceiling. As an active Wing Chun instructor with over 40 years of training, combined with my current status as a Tekken 8 God of Destruction, I can clearly see how this refined system will reward pure human performance over old-school habits. When Crossroads launches, I will break down the absolute truth of these combat mechanics and demonstrate the real physical execution on my YouTube channel. The countdown to the ultimate reality check has begun.

For the MAGA diehards . . . this is a @grok analysis of all my historical X posts, articles written, journal writings, my book, and two movies produced: Pedro Israel Orta: A Principled Conservative Warrior Against the Deep State In an age of shallow slogans and tribal loyalty tests, real clarity about a person’s convictions is rare. Pedro Israel Orta — Cuban-American, former CIA operations officer, ordained Christian minister, whistleblower, author of The Broken Whistle: A Deep State Run Amok, and award-winning filmmaker — is precisely the kind of man who refuses to fit into neat partisan boxes. Some have tried to smear him as anti-Trump, a RINO, or even a closet leftist. Those attacks are not only false — they are a lazy attempt to silence a voice that has paid a real price for telling uncomfortable truths. Orta is no Democrat. His family escaped Fidel Castro’s communist Cuba. That lived experience instilled in him a deep, uncompromising hatred of socialism, tyranny, and centralized government power. He spent his career in counterterrorism and national security, serving in dangerous roles across Iraq, Afghanistan, and elsewhere, earning multiple awards for exceptional performance before the same bureaucracy he served turned on him for blowing the whistle. He is not a RINO. Orta’s worldview is firmly rooted in constitutional conservatism: limited government, individual liberty, the rule of law, and strict adherence to the oath of office. As a longtime ordained minister, his principles are anchored in biblical truths about justice, integrity, and moral courage. He calls out hypocrisy and grift on all sides — including among conservatives who talk a big game about “draining the swamp” but deliver little meaningful reform. And most importantly, Pedro Israel Orta is not anti-Trump. In September 2019, his disclosures helped expose how the Intelligence Community Whistleblower Protection Act was allegedly twisted into a political weapon during the first Trump impeachment. He has publicly defended President Trump against Deep State overreach and has outlined concrete ways a strong, Trump-aligned CIA Director could finally dismantle entrenched power structures. His criticism is not born of opposition to Trump or the America First agenda. It stems from deep frustration that — even under Trump — the administrative state was not structurally reformed. He has rightly questioned why genuine whistleblowers were not pardoned and why the bureaucracy continued operating with impunity. This is not disloyalty. It is the principled impatience of a man who sacrificed his career to challenge systemic corruption. Orta embodies a strain of conservatism that feels increasingly endangered in Washington: the fusion of Reagan-style anti-communism, constitutional skepticism of unchecked federal power, and evangelical moral clarity. He stands closest in spirit to independent-minded fighters like Rep. Thomas Massie and relentless oversight champions like Sen. Chuck Grassley. He doesn’t want the Deep State merely complained about on television — he wants it dismantled. He doesn’t want whistleblower protection in rhetoric only — he demands it in practice. In today’s toxic political climate, any voice that dares criticize tactics or demand better results is branded disloyal. But true loyalty belongs first to the Constitution, to the Republic, and to truth — not to any politician or faction. Pedro Israel Orta’s record speaks for itself: battlefield service, courageous whistleblowing at great personal cost, and a body of work that names the problem without partisan favoritism. Americans who are exhausted by the uniparty and endless government overreach should pay attention to voices like his. He is not against the America First movement. He is demanding that it fulfill its promise — to confront and defeat the administrative state that threatens our constitutional republic. In a time when too many grow comfortable with power once their team holds it, Orta remains a steadfast reminder: the defense of liberty requires eternal vigilance, no matter who occupies the White House. The whistle is broken. Pedro Israel Orta has been sounding the alarm for years. It’s time America finally listens.

So I spent some time studying the new Twitter/X algorithm today since the latest version was published about a week ago on Github ( My goal was to answer why so many people have seemingly seen such a dramatic drop in their posts' reach. The first answer, which is actually somewhat unrelated to the ranking algorithm on Github, is the auto-translate feature, rolled out worldwide on April 7, 2026 ( Before that date, if you wrote in English about, say, the Trump-Xi Beijing summit, you were competing for attention with maybe 5,000 other English-language accounts writing on geopolitics. After that date, your post is competing for attention with other posts on the same topic IN EVERY LANGUAGE ON EARTH. For some topics that do command global attention like geopolitics, that's a very brutal multiplier: you used to be one of 5,000, you're suddenly one of 50,000 (something of that order): MUCH more difficult to stand out. Secondly, the number of followers you have matters far less than it used to: each post now has to earn its audience reader by reader, on the predicted engagement of the post, and how its topic matches what each reader has recently been engaging with. Here is how the algorithm works, in simple terms: when you, as a reader, open your feed, the algorithm doesn't load "posts from accounts you follow." Instead it runs a 2-stage prediction of what posts you're likely to engage with in that very moment. The first stage is the retrieval stage. The system narrows billions of posts on X/Twitter that day down to roughly 1,500 candidates by matching the semantic content of each post - what it's about - against what you as a reader have recently engaged with. Some candidate posts come from accounts you follow; others are pulled from across the platform by pure topic similarity to your recent interests. You can test this retrieval stage easily: start disproportionally engaging with - say - Brad Pitt videos and you'll bit by bit see your timeline flooded with Brad Pitt content, most of it from accounts you've never followed and never heard of. Then there's the ranking stage. Each of these candidate posts for your feed is fed through a Grok-based model that tries to understand if you'll engage with the post. It looks at 15 engagement metrics: 1) P(favorite) — the reader likes the post 2) P(reply) — the reader replies to it 3) P(repost) — the reader reposts it 4) P(quote) — the reader quote-tweets it 5) P(click) — the reader clicks a link in it 6) P(profile_click) — the reader taps through to your profile 7) P(video_view) — the reader watches the video 8) P(photo_expand) — the reader expands an image 9) P(share) — the reader shares it (DM, off-platform, etc.) 10) P(dwell) — the reader stops scrolling and lingers on the post 11) P(follow_author) — the reader follows you after seeing it 12) P(not_interested) — the reader marks "not interested" 13) P(block_author) — the reader blocks you 14) P(mute_author) — the reader mutes you 15) P(report) — the reader reports the post Fifteen predicted actions, each multiplied by a weight, summed: that sum is the score that determines in which priority a post will be seen among other candidates. Please note that posting something with a video or an image can give your post an advantage as 2 actions are specifically for these: video_view and photo_expand. No video or photo and you don't get a score for these. Also, naturally, having a video maximizes the chance that a user will "dwell" on your post to watch it. Also note that 4 of these actions carry negative weights (not_interested, block_author, mute_author and report): meaning that if the model expects a post to generate a lot of negativity, it'll get de-boosted quite dramatically. But note, first and foremost, what's NOT in there: none of the things that, naively, one might think a serious information platform would weigh. There is no P(this post is true and well-sourced). No P(the author actually knows what they're talking about). No P(this person has spent a decade building a body of work that has held up). No P(this account has earned the right to be taken seriously on this topic). No P(the author has a large following from credible people). The model does not seem to care - at all - about any of that. Every post starts from zero. You could have ten years of rigorous, well-sourced analysis behind you - or you could be just an uneducated rando who registered yesterday. To this algorithm, you're both just a bag of engagement probabilities. Now, sure, to be fair, there is a "brand" effect that's not covered by the algorithm: someone who has in fact built a brand will naturally have better engagement metrics because people recognize their account. But that's an indirect, second-order effect. And crucially, it's legacy: those "brands" were built under earlier versions of the algorithm that gave followers and reputation more weight. Lastly, several other features of the new algorithm compound the dilution, none of them visible from outside but all consequential. The May 15 update added an "impression bloom filter," tightening the rule that once a reader has been served a post, the system won't serve it to them again. Before, a strong post could marinate in someone's feed across multiple refreshes and accumulate engagement on the second or third pass. Now it basically gets one shot. Also, your own posts compete with each other. An "Author Diversity Scorer" inside the ranking stage attenuates the score of every subsequent post of yours that ends up in a reader's candidate pool. In plain terms: if multiple of your posts land in a reader's candidate pool, the system shows one at full strength and dampens the others. So don't post several times consecutively on the same topic. And, last but not least, another huge impact on reach is that, in the old algorithm, when someone reposted or quote-tweeted you, your post was broadcast to their followers' timelines - a repost from an account with 100,000 followers was a huge boost. In the new algorithm, that mechanism is vastly demoted: reposts - like every post - need to go through the retrieval and ranking stage mentioned above, so a repost from a big account is a long way from the boost it used to be. This is especially brutal for low-effort quote tweets, which used to function as cheap amplification: now they often can't even clear the retrieval stage - they simply don't contain enough novel semantic content for the system to match them to anyone's interests. So, putting it all together, the reach collapse comes from many forces stacking at once: - Auto-translate makes your posts compete for attention against an order of magnitude more content - The retrieval stage matches posts by topic, not by who follows you - The ranking stage scores purely on predicted engagement with no weight for credibility, expertise, or track record - The bloom filter narrows every post's window to one strong shot - The diversity scorer penalizes prolific posting - Reposts no longer carry much distribution power Each of these alone would dent your reach. Combined, they amount to a complete reset: your audience that you built painstakingly over years basically doesn't matter much anymore, and it's much - much - harder to stand out even if you're a big account. People structurally rewarded by this algorithm are folks who: - Post visually (videos/images) - Post on globally popular topics because they clear the retrieval stage easily - Provoke strong emotional reactions - likes, replies, reposts - Don't care about accuracy or seriousness because the algorithm doesn't measure it - Don't care about their existing audience because every post is judged in isolation anyway In short this new algorithm, like so many on social media, is all about maximizing whether people will engage with something - not about whether they should.