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【BGM公開】 サイドストーリー「PRETTY STAR」BGM full ver.『Pretty for you』を公開いたします✨ かつてのアイドルの歌声は、今も希望を届け続ける—— ぜひこの楽曲をお楽しみください🎧 ◆高画質版 #NIKKE# #ニケ#

🎧 사이드 스토리 PRETTY STAR OST 「PRETTY FOR YOU」(Full Ver.)​ 🎧 그 시절 아이돌의 목소리는 여전히 희망의 힘을 전하고 있습니다. <승리의 여신: 니케> 사이드 스토리 PRETTY STAR OST 「PRETTY FOR YOU」의 풀 버전을 공개합니다.​ * 인앱 구매(확률형 아이템 포함) #니케# #NIKKE# #PRETTY_FOR_YOU# #LEVEL_NINE# #니케OST#

【사이드 스토리 PV - PRETTY STAR】 "사람들에게 희망을 주는 별이 되고 싶어요." 최초로 공개되는 아니스의 과거 이야기. 풀 보이스로 생생하게 그려지는 그녀의 이야기를 지금 바로 게임 내에서 확인해 보세요! ​✔️ 참여 조건 - 메인 시나리오 챕터 노멀 6-15 스테이지 클리어 ​​✔️ 진입 방법 - 로비 화면 → 전초기지 → 커맨드 센터 🌠 고화질 버전 ※ 영상에서 사용된 자료는 홍보용이며 실제 내용은 게임 내에서 확인 부탁드립니다. ​ ​* 인앱 구매(확률형 아이템 포함) #니케# #NIKKE# #사이드스토리# #PRETTY_STAR#

【사이드 스토리 - PRETTY STAR】​ 지상 탈환전을 지독한 실패로 마무리한 방주는 유례없는 어둠에 휩싸인다. 승리의 여신은 패배의 상징이 되었고, 모두의 악의가 니케들을 향하고 있을 때, 프리티는 어둠으로 가득한 방주를 밝힐 별이 되기로 한다. 그리고 그 무렵, 아니스 역시 자신만의 길을 찾아가고 있었는데⋯. ​✔️ 오픈 일시 - 4/9(목) 점검 완료 후 ​✔️ 참여 조건 - 메인 시나리오 챕터 노멀 6-15 스테이지 클리어 ​​✔️ 진입 방법 - 로비 화면 → 전초기지 → 커맨드 센터 * 인앱 구매(확률형 아이템 포함) #니케# #사이드스토리#

🚨 JUST NOW: SpaceX has CAUGHT Starship for the FIRST TIME EVER, making history Chants of "USA! USA!" broke out all throughout Starbase, Texas 🇺🇸 They pretty much just parallel parked a MULTI-STORY BUILDING after it orbited the Earth multiple times

Huge AI announcements from OpenAI, Anthropic, Meta, and Google in the past 48 hours. Here's everything going on in AI right now: 1. The authors of AI 2027 just moved their timelines up. They now expect AI on par with the best human AI researchers to arrive in 2027, after METR estimated Anthropic is improving about 2x as fast thanks to AI. Daniel Kokotajlo gives it a 50-50 chance by May 2027 and says he's "scared, sad, and angry." 2. Anthropic opened the investor pitch for its IPO, with shares likely trading as soon as Thursday next week. An updated filing also says it has now crossed its own safety line for AI-driven progress. 3. OpenAI launched Businesses in ChatGPT, a beta hub where brands can set up AI agents for shoppers, claim a verified profile, and track how often ChatGPT mentions them. Paid ads can point users to those agents too. This is like the start of SEO for chatbots. 4. Anthropic rolled out Claude Sheets and Whiteboards in beta, made Claude Data generally available, and announced Claude Meetings, an assistant that sits in on your video calls. Add those to Slides, Design, and Docs. Seems like Claude is slowly rebuilding the entire office suite. 5. Anthropic also released Claude Fable 5.2 and Mythos 5.2 yesterday, with Fable debuting at #1# on Artificial Analysis' Intelligence Index, 5 points ahead of Google's Gemini 4 Carbon. It's also 20% cheaper and up to 30% faster than 5.1. Google lost the top spot before Carbon even shipped (!) 6. Meta released Muse Ember, its smallest model, built for high-volume agent work. It ties Claude Haiku 5.5 on the Intelligence Index at roughly one-third of the cost per task ($0.14 vs. $0.41 on an average test). Meta shipped its first Muse model in April and now has an answer for every tier OpenAI and Anthropic sell. 7. Google announced 2 new AI chips coming next year: the TPU 8tx, which keeps data encrypted even while a model is working on it, and the 8i Max, which joins 2 chips into one for agents that need to hold an entire codebase in view. Google already has nearly 100 TPU customers (including Anthropic and Apple) and every available chip is spoken for. 8. Nvidia's top lawyer reportedly emailed agents in August 2025 while they were investigating whether Singapore's Megaspeed smuggled its chips to China. The Commerce Department then halted the case and handed it to the Justice Department. Not a great week for Nvidia. 9. Adobe signed a multi-year deal with Disney to build custom AI models trained on Disney's characters and visual styles, with work already underway for theme parks, film, and ESPN. Pretty interesting to see one of the most protective IP owners in entertainment is now training its own AI models. 10. OpenAI acquired Odessia, a months-old AI trip-planning startup from Sonder founder Francis Davidson, who is joining OpenAI to work on travel. Between this and #3#, ChatGPT is coming for shopping and travel. 11. France unveiled the Paris Call for AI Safety and Security, with OpenAI, Anthropic, and Mistral committing to build emergency off switches into their most advanced models. Interesting timing given #1# on this list. Daily reminder that this is the worst AI will ever be.

We're still so small but I'm loving the team we've got at Superlogical. They're so talented and kind and love their craft. It's a different era of software development and our expectations and practices reflect that. I want to share a bit about how we work. First, everyone is trusted to push to main. We do machine-aided code review pre-push and human plus more machine-aided code review post-push. Limited to no PRs. Culturally, we've all agreed that if we ever hire someone who we DON'T trust to push directly to main, then they probably aren't the right fit for the team (so far, not an issue). Some common sense here: if someone is stepping outside their lane or comfort zone, we'll open PRs. For example, I'm pretty trash at macOS/iOS UI, so I'll open PRs for UI-affecting functionality and ask for eyeballs/help. But for business logic and internals, I push to main. Second, everyone can cut a release. Our release process is fully automated and when you start a release (for any platform) it triggers a Slack notification and a 15 minute countdown. The 15 minute warning is a final gate that allows people to review plus collaborate on a changelog. During that 15 minutes, anyone in the company can pause the release rollout. After 15 minutes, the train leaves the station. You can't override the 15 minutes (except to pause). It gives everyone a chance to step in. Third, we avoid synchronization through fast remediation rather than through planning. The server and clients on various platforms ship features as fast as they can. We use post-hoc human review and AI-assistance to identify feature mismatches across products ("Windows has support for X and Mac doesn't." or "Mac and Windows differ in their behaviors for Y in this way."). This avoids expensive "sync" meetings and coordination. We trust that producers of features are mindful of what they're producing and we trust that adjacent product lines will self-synchronize quickly. In practice, we see feature parity across platforms within 24 to 48 hours. All of this works on mutual trust. It ONLY works with mutual trust. Everyone at all times has to trust that they've got each others back: 1. Push to main only works if you fix your mess, or if you don't, that someone else will quickly but that you'd do the same (and generally in equal amounts). 2. Anyone can deploy only works if you trust everyone to cut at the right time, with the right changelog, and that people will respect the 15 minute timer. 3. Sync through fast remediation only works if you trust other teams will pick up and integrate your work quickly, which only works if you would too. It also only works if you are fairly producing mismatches (e.g. not constantly). We've got a great team. I know we're still small and that these practices will change in many ways as we scale. But this is already a markedly different practice than what I would've done 15 years ago. In general, we are building from day 1 on a foundation of mutual respect, excellence, and trust. And it's been awesome.

Found another early one worth looking into 👀 I’ve been digging into @paperdao_xyz, launching through @daosdotworld, and the model behind it is actually pretty interesting. $PULP is built around getting early exposure to @papertrade_xyz, where the LP starts from $0, there’s no premint or team allocation, and liquidity grows through actual trading activity. The flow is simple: Robinhood Chain → HyperEVM → Papertrade. I like finding experiments that try something different instead of repeating the same launch model. This is one of them. Already applied. Worth doing your own research while it’s still early. Apply:

September’s numbers from @dimitratech definitely caught my attention, and honestly, I’m getting even more bullish on what this could mean for $DMTR as EUDR really starts to take effect. 15,527 transactions in September. That’s an 84.2% increase from August and 67.1% above January’s previous 2026 high. To me, that’s the part worth watching. The activity is growing, and it’s growing quickly. Now look at the timing. #EUDR# is bringing a much bigger focus on traceability, deforestation monitoring and knowing where products are coming from. When more businesses need this kind of infrastructure, and Dimitra’s onchain activity continues growing at the same time, I think the opportunity starts getting pretty interesting. We’re not talking about a project simply saying there’s demand for its technology. We’re seeing the recorded activity increase month after month. When that activity keeps growing as EUDR comes into effect, the potential for Dimitra to become an important part of the traceability process gets a lot more exciting. September was a big month. Now I want to see what October brings. Because when the numbers keep moving in this direction while regulatory demand is increasing, I think more people are going to start paying attention to what $DMTR has been building.