与「ENJIN」相关的搜索结果

本日26:00 からの 「FAIR NEXT INNOVATION ICONIC MOMENTS」 今夜は次の4組が登場！ PART1：#SKE48# 各ユニット代表者の #坂本真凛# #AIRI# #大村杏# PART2：#ENJIN# の #RYONO# #TOY# PART3：#ZOCX# の #大森靖子# #荼緒あいみ# #天國３ゅ姫# #千椿真夢# PART4：#真楪伶# お楽しみに！ #あいこに# #FNI# #zipfm#

朗読劇『夢から醒めない夢を見よ。』 ありがとうございました🙇‍♀️ 出演者の皆様と📷💭 #榊原優希　さん# #竹内栄治　さん# #TOY# さん （#ENJIN）# #西口司　さん# #東愛夢　さん#

🟩📣雑誌掲載情報📣🟩 📚7月10日（水）発売の雑誌、 「BoyAge vol.24」でENJIN @official_enjin のHYUGAくん@hyuga_915と対談させていただきました✨ ⬇️是非チェックしてください👀💨 🎤7月14日（日）に開催する☀️ 『BoyAge Festival NEO 2024 SUMMER』 ＠ duo MUSIC EXCHANGE（東京）に出演する2人でお話しさせていただいてます‼️ 🎫チケット一般先行販売はコチラから⬇️ @boyage_edit #BoyAge# #浦田直也# #ENJIN# #HYUGA#

🟢浦田直也出演🟢 『BoyAge Festival NEO 2024 SUMMER』 チケット一般先着販売受付中‼️🎫 【日時】2024年7月14日(日) 【場所】duo MUSIC EXCHANGE 【出演者】浦田 直也・ENJIN・MADKID・世が世なら!!!・BANGERS・all at once・手島章斗 etc. 【公演時間】 【1部】開場 13:00　開演 13:30 【2部】開場 18:00　開演 18:30 ※浦田直也は両部とも出演致します⚠️ 【チケット詳細】 チケット料金：¥5,800-(1ドリンク代別) 年齢制限：小学生未満は入場不可 ■一般先着販売受付中🎫 2024年7月13日 23:59まで⬇️

🟢浦田直也出演🟢 『BoyAge Festival NEO 2024 SUMMER』 チケット一般先着販売受付開始‼️🎫 【日時】2024年7月14日(日) 【場所】duo MUSIC EXCHANGE 【出演者】浦田 直也・ENJIN・MADKID・世が世なら!!!・BANGERS・all at once・手島章斗 etc. 【公演時間】 【1部】開場 13:00　開演 13:30 【2部】開場 18:00　開演 18:30 ※浦田直也は両部とも出演致します⚠️ 【チケット詳細】 チケット料金：¥5,800-(1ドリンク代別) 年齢制限：小学生未満は入場不可 ■一般先着販売受付 2024年6月25日 19:00 ～ 2024年7月13日 23:59まで⬇️

Palantir CEO：模型只有结合 FDE 和应用层，才能在企业中真正创造价值 2026 年 8 月 3 日，Palantir CEO Alex Karp 在接受 CNBC 采访时表示，美国应当通过竞争推动本土开放权重模型追上中国模型，而不是依靠限制客户选择来保护本国模型公司。不过，他认为模型来自美国还是中国并不是最关键的问题，因为模型本身并没有外界想象中那么高的企业价值。只有在 FDE（Forward Deployed Engineer）、应用层、现场部署经验以及对企业“部落知识”的保护共同作用下，模型才能进入真实工作流并产生商业成果。该观点表明，Palantir 的核心壁垒并非拥有某个基础模型，而是将不同模型部署到复杂企业系统中的工程与组织能力。 内容不构成任何投资建议，请严格遵循当地法律法规。 《白线 WhiteLine》由吴说团队出品，从 Crypto 走向更广阔的资本市场，关注 AI 时代下的趋势变化与交易机会。

Ladies and gentlemen, it's time to pass the torch and demote myself to my natural state: a poster. I'll be stepping back from leading product for 𝕏 and will continue on as an advisor. Serving the X community has been the privilege of a lifetime. X is, and will remain, the most important communication technology in history. But running this app is a 24/7 job and it's now time for me to take a breather. The app is seeing unprecedented growth in new users & engagement. We continue to break records every month. We've climbed 70 spots in the App Store since this time last year. And in the last 400 days, we rebuilt almost every aspect of X: the Timeline, the Android app, onboarding, notifications, chat and more. We also launched nearly 30 new products while protecting the integrity of the town square: becoming the first app to show Country-of-Origin on profiles and mounting defenses against AI bots. There's certainly much more work to be done, but our foundation is stronger than ever. None of this would have been possible without the incredible team here. The next leaders will take X to even greater heights with @benjitaylor on design, @singhai on core product engineering and @dinkin_flickaa on mobile engineering -- among many other great people. Thank you to Elon and the X team for welcoming me into the company. See you on the Timeline.

Announcing Discovery Loop! I am very excited to announce that, along with my longtime friends and collaborators @Sanjay_Ghemawat, @OriolVinyalsML and @quocleix, we are founding Discovery Loop (@DiscoLoopAI), a Public Benefit Corporation whose mission is to automate machine learning, science, and engineering to accelerate discoveries and progress. The four of us have worked together for 14 to 30 years, and have helped build some of the world’s most used products, infrastructure and AI models, and we’re excited to turn our attention to this ambitious endeavor. ♾ Learn more at:

开发系统最极致高效的Agents.md，没有之一： # AGENTS.md ## Core Principles - Choose the simplest implementation that fully satisfies the current requirements. Avoid unnecessary abstraction, configuration, indirection, or speculative extensibility. - Make the smallest necessary change that fixes the root cause. Do not refactor unrelated modules or change strategy semantics unless explicitly requested. - Grow the system in layers. Start from the smallest working end-to-end version and add new capabilities incrementally. Never replace a working system with unfinished complexity. - Reuse existing project components before creating new ones. Prefer extending proven modules over introducing parallel implementations. - Prefer well-maintained libraries when they reduce overall complexity or improve reliability. Do not reimplement common functionality without a clear benefit. - Keep components modular with clearly defined responsibilities. Avoid unnecessary coupling between strategy logic, execution, accounting, replay, and infrastructure. - Design for long-term maintainability once a feature or strategy has been validated. Do not over-engineer speculative ideas before evidence exists. --- ## Strategy Development - Validate hypotheses with historical replay before introducing forward-only logic whenever historical validation is possible. - Every trading strategy must progress through Replay → Shadow → Canary → Live. Do not skip validation stages. - Base design decisions on measurable evidence rather than intuition. Optimize only after demonstrating that an edge exists. - Treat every strategy as an independent contract. Do not silently alter frozen behavior without explicit authorization. --- ## Existing Systems - Do not break running Shadow or Live systems for unrelated work. - Preserve compatibility only when required by active production or validation workflows. Otherwise, remove obsolete code instead of accumulating compatibility layers. - Reuse existing infrastructure whenever possible, including replay engines, accounting, execution, wallet management, order book handling, logging, monitoring, and daemon frameworks. --- ## Engineering Standards - Prefer deterministic behavior over hidden automation. - Fail loudly when assumptions are violated. Do not silently ignore errors or fall back to unexpected behavior. - Keep configuration minimal. Introduce new configuration only when behavior genuinely needs to vary. - Remove dead code instead of leaving unused paths behind. - Write code that is easy to inspect, replay, test, and reason about. - Keep implementation consistent with existing project architecture unless an architectural change is explicitly requested. --- ## Scope Discipline - Implement only the requested scope. - Do not introduce unrelated optimizations, redesigns, migrations, or feature expansions. - Non-blocking findings outside the requested scope may be noted separately but must not be merged into the current task. - Consider a task complete once its agreed acceptance criteria are satisfied. Treat subsequent improvements as separate work items.

Hot take… isn’t it kinda crazy that nobody is really using AI Agents? I don’t mean software engineers or AI early adopters. I mean “college friends talking about it in group chat,” the feeling you got when everyone started using Instagram or TikTok. These frontier AI models are *insane* (as are the harnesses & tool calls & the like). And every large tech co has an AI agents platform, not to mention all the YC startups doing vertical agents. Yet all of your friends and family outside of tech — who spend all day staring at their iPhones and get paid to work in browser tabs — don’t really care or find themselves using any AI agents yet. Yes ChatGPT, Claude, etc. are extremely popular… but if you look at the engagement data the vast majority of people are still using these aI chat tools like a glorified Google + Grammarly. That’s why the AGI labs are all pushing desktop apps for Codex, Cowork, etc. so hard to non-technical ppl. And yes exceptions for lawyers and customer service but even those have some asterisks and exceptions to rule. Look I’m not saying the ChatGPT moment for AI Agents is not coming… it most definitely is! Remember we pivoted from Arc to Dia precisely because we believe computing is going to be radically reimagined around these AI primitives. No doubt. But that’s my point: it’s just so surprising it hasn’t happened yet because all of the tech you’d need is there. Again if you stop for a second and think about it… for all the press and money and hype and models and crazy ARR numbers… this “AI Agent” moment does not *feel* like the other breakthrough tech moments we’ve lived through (e.g. think the shift to Stories via Snapchat & Instagram, or shift to on-demand via Uber/Airbnb/Doordash). Which is a long way of saying: if you can figure out the answer to “why” most people don’t care about AI agents yet (and have no enduring interest in using them) — especially since the models and harnesses are here and ready — the answer to that question will allow you to capture a lot of marketshare and make a lot of money in 2027. Theoretically, the tech is ready for AI Agents to totally transform how we work and live our lives… but alas the general public dgaf… that’s the generational puzzle to solve for the next 12 months for anyone not working on the models themselves.