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#

The final verdict from @trueo_’s most contentious market has been delivered. The Jury voted for an outcome Reset. In other words, they ruled that it was too early to resolve the market. But there were some very interesting things about this dispute… For starters, both TRUE holders and Attesters voted against the Oracle Council’s initial decision. The Oracle Council voted 3-2 in favor of a YES outcome (I was among the YES voters). But TRUE holders and Attesters voted in supermajority support of the dispute. They deemed that the proposal came too early, and that Polymarket had not really released a “token” yet. Or did they? I personally voted YES as an oracle council member because I felt like the rules, though ambiguous, were satisfied as written when Polymarket released pUSD. I wasn’t happy about it, obviously it didn’t capture the essence of the market which was clearly meant to be about a potential network or governance token, but I voted YES nonetheless because I felt like the criteria in a literal sense was met when pUSD dropped. But TRUE holders and Attesters felt otherwise. They must have felt like the purpose of the market wasn’t satisfied even if the rules in a very rigid and literal sense were. I know the outcome might not be to everyone’s liking, and I know that some users would have preferred a YES outcome, but I do hope that they at least found some consolation in the process it self. Namely that the various arguments were aired, and that multiple desperate judgements came to pass on the dispute. In the future these contentious markets can be avoided with more precise resolution rules, but there is always some room for interpretation or some hidden ambiguity in the spectrum of possibilities. Getting these things right is very difficult, and ultimately, what I believe is more important than the outcome itself, is the process through which an outcome is derived. All this being said, there’s nothing stopping someone from proposing the same outcome again in hopes that TRUE holders have changed their minds, or that a different batch of Attesters gets selected who are more sympathetic to the resolution. Prediction markets are vey tricky specifically because of their subjective nature. But that’s also what makes them interesting! We still have much to improve on, and we learned a lot from this dispute, but hopefully we were able to prove that we take the concept of due process very seriously. Because at the end of the day, a prediction market is only as good as its oracle!

Shifting structures in a software world dominated by AI. Some first-order reflections (TL;DR at the end): Reducing software supply chains, the return of software monoliths – When rewriting code and understanding large foreign codebases becomes cheap, the incentive to rely on deep dependency trees collapses. Writing from scratch ¹ or extracting the relevant parts from another library is far easier when you can simply ask a code agent to handle it, rather than spending countless nights diving into an unfamiliar codebase. The reasons to reduce dependencies are compelling: a smaller attack surface for supply chain threats, smaller packaged software, improved performance, and faster boot times. By leveraging the tireless stamina of LLMs, the dream of coding an entire app from bare-metal considerations all the way up is becoming realistic. End of the Lindy effect – The Lindy effect holds that things which have been around for a long time are there for good reason and will likely continue to persist. It's related to Chesterton's fence: before removing something, you should first understand why it exists, which means removal always carries a cost. But in a world where software can be developed from first principles and understood by a tireless agent, this logic weakens. Older codebases can be explored at will; long-standing software can be replaced with far less friction. A codebase can be fully rewritten in a new language. ² Legacy software can be carefully studied and updated in situations where humans would have given up long ago. The catch: unknown unknowns remain unknown. The true extent of AI's impact will hinge on whether complete coverage of testing, edge cases, and formal verification is achievable. In an AI-dominated world, formal verification isn't optional—it's essential. The case for strongly typed languages – Historically, programming language adoption has been driven largely by human psychology and social dynamics. A language's success depended on a mix of factors: individual considerations like being easy to learn and simple to write correctly; community effects like how active and welcoming a community was, which in turn shaped how fast its ecosystem would grow; and fundamental properties like provable correctness, formal verification, and striking the right balance between dynamic and static checks—between the freedom to write anything and the discipline of guarding against edge cases and attacks. As the human factor diminishes, these dynamics will shift. Less dependence on human psychology will favor strongly typed, formally verifiable and/or high performance languages.³ These are often harder for humans to learn, but they're far better suited to LLMs, which thrive on formal verification and reinforcement learning environments. Expect this to reshape which languages dominate. Economic restructuring of open source – For decades, open-source communities have been built around humans finding connection through writing, learning, and using code together. In a world where most code is written—and perhaps more importantly, read—by machines, these incentives will start to break down.⁴ Communities of AIs building libraries and codebases together will likely emerge as a replacement, but such communities will lack the fundamentally human motivations that have driven open source until now. If the future of open-source development becomes largely devoid of humans, alignment of AI models won't just matter—it will be decisive. The future of new languages – Will AI agents face the same tradeoffs we do when developing or adopting new programming languages? Expressiveness vs. simplicity, safety vs. control, performance vs. abstraction, compile time vs. runtime, explicitness vs. conciseness. It's unclear that they will. In the long term, the reasons to create a new programming language will likely diverge significantly from the human-driven motivations of the past. There may well be an optimal programming language for LLMs—and there's no reason to assume it will resemble the ones humans have converged on. TL; DR: - Monoliths return – cheap rewriting kills dependency trees; smaller attack surface, better performance, bare-metal becomes realistic - Lindy effect weakens – legacy code loses its moat, but unknown unknowns persist; formal verification becomes essential - Strongly typed languages rise – human psychology mattered for adoption; now formal verification and RL environments favor types over ergonomics - Open source restructures – human connection drove the community; AI-written/read code breaks those incentives; alignment becomes decisive - New languages diverge – AI may not share our tradeoffs; optimal LLM programming languages may look nothing like what humans converged on ¹ ² ³ ⁴

bitcoin:native shares a very classic long-term macro on-chain indicator for Bitcoin: STH-RP to TMMP Ratio The ratio of the realized price to the real market average price for short-term holders This indicator clearly reflects the interplay between short-term market speculation and the fair value of the overall market. Current core data: -BTC current price and short-term costs: Currently, both values ​​are around 77.4K. This means that short-term investors who entered the market in recent months, The overall situation is at the break-even point. -Ratio trend: The current ratio is 0.8998, and the 7-day and 30-day moving averages are showing a fluctuating downward trend. On-chain data is clear. Short-term holders' cost basis is converging towards the true market average. The market as a whole is in a phase of deflating the bubble and clearing out speculative capital. Historically, when this ratio spikes, it usually corresponds to a period of market overheating. When this ratio falls below the 0.75 red line (the historical lows of 2015, 2018, and 2022), it indicates the establishment of an absolute bear market bottom. Currently, this ratio is at a relatively neutral to low level of around 0.9. And the trend is still downward. This indicates that the market's blind optimism has been effectively suppressed. The chips are undergoing a thorough turnover. At the break-even point where short-term holders find it unprofitable and even begin to feel anxious. It is often a crucial window for accumulating strength and choosing a direction. Be patient and watch for further crossovers of the cost line. #Onchaindata# #welinkBTC# bitcoin:native

@RyanU_1F42B This is 77% growth, from literally the start of the CPO supercycle H1 2026. I’d expect that number to just keep on compounding exponentially as we approach H2 2027, which is the true inflection of scale up CPO.

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🚨 President Trump just shared this stunning image on Truth Social: The Lincoln Memorial and Reflecting Pool glowing in deep American flag blue. Trump is having the Reflecting Pool thoroughly cleaned, repaired, and restored so it will once again be a true thing of beauty — ahead of America’s 250th anniversary. Strength. History. American pride. Do you like seeing the U.S. capital made clean and beautiful again? (Video: AI of image)