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👼第2回 #にごリリ# コスプレイヤーを満喫する会 ありがとうございました💕 この後は14時45分～ADKEMブースにて #沢口かなみ# 先生と、#高見奈央# さんによる「#WatchMe」ダンスレッスンを開催💃# 参加者には「パシャっとカード」をプレゼント‼ #えなこ# #篠崎こころ# #綺太郎# #ジャンプフェスタ2025#

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Having multiple research tools is useful, but the experience becomes much better when users can access them without constantly switching between different platforms. Consider how a Solana trader researches a new token. They might start by checking its market activity, investigate the wallets involved, examine token distribution and look for possible risks before making a decision. Each step provides a different piece of information, but they all contribute to the same research process. This is where @StonkwatcherSF’s planned website restructure becomes interesting. The team is working on improving the website’s navigation and making its features easier to discover. The new landing page is also expected to showcase the broader Stonk Watcher ecosystem, including its products and mobile application. I think this is a meaningful direction because Stonk Watcher is aiming to bring different parts of crypto research closer together. Token discovery helps users find opportunities. Wallet tracing provides more context about the people and addresses behind transactions. Market analysis and risk indicators help users examine what is happening before deciding where to focus their attention. These tools become more useful when they fit into one connected workflow. The mobile app adds another layer by making research and safety features more accessible beyond the desktop experience. Of course, a redesigned website alone doesn’t guarantee a better product. Navigation needs to be intuitive, information needs to be reliable and the different features need to work smoothly together. That’s what will determine whether this restructure makes a real difference. I believe good product development is not just about adding more features. It’s also about making existing tools easier to find, understand and use. The goal should be simple: less friction, better access to information and a smoother research experience. That’s the progress I’ll be watching from @StonkwatcherSF. @StonkwatcherSF $STWC

Hello guys, tonight I watched a 50 minute podcast with Albert Castellana from GenLayer on The Future of Crypto Compliance, and one minute in it is still stuck in my head. Code is free now, execution is becoming free, so what still has value? According to Albert, it’s judgment. AI already decides what we see on Twitter, whether we get hired, whether we get a loan or insurance, and right now we’re just trusting a few big AI labs with that power Main points: - His previous project lost access to around $150M after keys were lost, and the courts turned out to be too slow and expensive - GenLayer is building a small digital court onchain for decisions that aren’t just yes or no - Five random validators, each with its own AI model, vote on the outcome - Disagree? Appeal, and the validator set doubles each time, up to 1,500 - The first decision takes minutes and costs around 50 cents - It doesn’t replace real courts, it handles small disputes nobody would take to court anyway

if you want to automerge thousands of pull requests , this is how she does it (via @poteto). 809 in june. 10,926 in october. merged prs a month that touch the grok bot team's code. i went through her posts and put the setup in one place. every pr still gets an agentic risk review plus bugbot. low- and medium-risk ones automerge. only higher-risk ones get a person. day to day, in her words, it's just grok bot and cursor projects. she used to have more cursor automations and replaced them with slack bots that have routines. she works on many streams in parallel with pstack: perf, bug fixes, agent-friendly refactors, her own skills, features, ui polish, the harness, release and observability. not from sitting in a review inbox. she's said the speed gains come from parallelizing. a single chat can take longer because of verification. she handholds it less, so she can run several large projects at once. the real setup is in the codebase and the checks around it. she treats the codebase as memory. every agent mistake needs to turn into a constraint. her team built their own framework for grok bot so some anti-patterns become hard to write at all. agents have to verify their own work. they run the app, and can sometimes model it in tla+. they produce screenshots or video that are easier to check than the whole pr. formal verification skills and ordinary run-and-debug skills work together. she calls this an inverse pyramid. push as much as you can into determinism (fuzzing, property tests, formal and runtime verification, stricter languages) instead of spinning up more agent swarms. in her oct 6 post, she tells sandcastle, a grok team bot, to cut. it runs a buildkite dry run, dms every pr author (they can object), kicks the build, and watches it. then it starts a fuzz swarm: usually 10+ agents on grok 4.7 xhigh, some directed, some chaos monkey, using their verification skills and feature map. when something is high priority, she tells sandcastle to @ mention poteto, her engineer bot, which then spins up a cursor project to triage and fix. her team ships a new stable version of the client at least once a day. that's a lot of machinery under "just grok bot and cursor projects."

My husband stopped initiating sex after I turned him down three times in one week. At first, I thought he was finally understanding that I couldn’t always be in the mood whenever he was. Then I noticed he had stopped touching me altogether. No random kisses in the kitchen. No pulling me closer when we watched television. No morning hugs before leaving for work. I actually preferred it that way until one evening I asked why he was behaving like a stranger. He looked at me and said, “I figured you wanted me to stop making advances.” I laughed. “There’s a difference between not wanting sex and not wanting you to touch me.” He nodded slowly. “That’s the part I’m struggling to understand. Because lately, every time I reach for you, I have to calculate whether you’re going to feel loved or pressured.”