Joined April 2021
One Arena prophecy fulfilled, $SOL hit $100 RT + Drop your wallets for a $100 gacha spin ⏳
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🧵 Deli AutoResearch SKILL is now officially open source! 🎉 victorchen96.github.io/auto_… Alongside it, we’re dropping our 4th survey paper — this time on Self-play. victorchen96.github.io/auto_… Inspired by AlphaZero, we got a powerful insight: prior knowledge doesn’t always lift the ceiling. Models can discover more globally optimal solutions just by playing against themselves. The biggest change in this paper? For the first time, the AutoResearch Agent autonomously planned GPU experiments — and submitted actual RL runs on the DeepSeek 285B model. The entire RL pipeline — experiment design, code writing, running, debugging, and conclusion summarization — was 100% automated, with zero human intervention from me. This was incredibly difficult, but an incredibly important step. victorchen96.github.io/blog_… GRPO is the tool being called by the AutoResearch Agent here. We see this as the beginning of our Continual Learning research journey. 🚀 As always, this is my personal research project, unaffiliated with any organization. All views are my own. #AI #ReinforcementLearning #SelfPlay #OpenSource #AutoML #ContinualLearning #DeepSeek
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0xd9c retweeted
Codex can get dumber and slower on long sessions. Here's the fix: 1. Run Process_narration=false This will stop Codex from showing you all the planning steps, resulting in saving a lot of output tokens. 2. Prompt: "Act as an orchestrator. Use parallel agents to do the research and execution work. Write detailed tasks for each parallel agent and force them to act, iterate, get their tasks done, and bring back an in-depth report. Your job is to deeply analyze the agents' work, provide feedback, and provide them with continuous tasks." This prompt offloads the majority of the context-burning work to agents, and each agent has its own context window. So you can utilize 5 agents (5 context windows). 3. Add this hard rule: "Measure twice, cut once policy." Debugging and patching is messy work. Force Codex to plan first, act after (don't use plan mode; it's just overcomplicated). Ask it to make a task list for every task so it can track progress and iterate better. 4. Add this hard rule: "Keep the codebase clean, no tmp files, no dead code, no dead files. Stay organized all the time. No unnecessary folders, subfolders, or files." Claude keeps most of its working files in cache as temporary files (which is bloatware, but it keeps the codebase neat), but Codex is output-heavy. It creates tons of folders and files, and your workspace can become a mess after a few sessions. As a result, this contaminates the context window and degrades performance. Force Codex to stay organized and follow the file structure. These 4 techniques can help you save 40% context every session, and performance will be a lot better. For planning, use Codex 5.5 (extra high), and after the plan is done, shift to Codex 5.5 (high) with fast mode. This works faster.
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Codex 5.5 hack: "Are you 100% confident in this strategy? If not, find all possible loopholes, suggest proper fixes and run this loop until you are factually 100% confident in the new startegy" This works like charm. It makes Codex 5.5 high perform even better than codex 5.5 extra high. Why? Codex 5.5 is the only model i noticed that is self aware. It never makes high claims unless the model verifies everything. This doesn't work with Opus 4.7 cuz that's a very insecure model. You can paste this prompt over and over again, the model keeps saying "you're absolutely right,....." But with codex, after 2-3 iterations you'll notice yourself it actually patched all loopholes and this genuinely sounds like a good strategy. Try this out, thanks me later.
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Just pulled a COMMON KENJI badge from registering the waitlist for One Arena @Rosentica! Can't wait to battle and win more grails with my RWA cards! See you in the Arena ⚜️ #OneArena #Rosentica xitter.cf/rosentica/status/20443…
꧁⊹ WAITLIST OPEN ⊹꧂ Bring Your RWA Cards to Battle. Compete for the Grails. Collect, Social, Yield. Test your luck, summon your own hero to join the waitlist: — OneArena.xyz — *Waitlist and Hero Summon are spot limited on a FCFS basis. See you in the Arena ⚜️
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- @Rosentica 创始人Natsuki受邀成为@superteam 成员(SOL基金会出资运作的核心Builder圈子) - 旗下RWA卡牌对战平台 One Arena 四月beta测试,waitlist即将限时开启,打开官号🔔 - 平台收入回购 $ONEP $CARDS 开启收入回购涨到195M,资金对卡牌赛道无比饥渴 - $ONEP 由 $ONE 和 $FREYA 等价兑换 , 实体背书的合规资产,四月TGE,兑换将于TGE 72小时前关闭(有无提前通知取决于Listing伙伴的公告时间,建议尽早)TGE 48小时前开启领取,详情见官推@Freya_Starfall 卡牌赛道的体量持续疯狂增长,toly和solana的人不断提到,而且目前仅仅停留在“价值存储层” 类似DeFi之于ETH,One Arena创造了链上卡牌的应用层,让卡牌可以在链上用来对战、押注、赢取收益、租借、生息。这是一个完全未开拓的新市场、解锁并定义这个新市场的产品会承接这个市场的爆发和用户+资金流入,成为自身营收和估值增长 而坐拥日本业界资源、卡牌游戏开发背景、深耕加密和IP方向并已完成完整布局和先发优势的R社在推出这个杀手级应用上有着无法追赶的护城河。回看这一路的布局,每一步都不可或缺,IP和实体背书合规升级是重中之重 @solanagaming 官方提到Solana会倾斜大资源来支持链上卡牌游戏,并评论了Natsuki的推文表示欢迎同时关注了官推 卡牌赛道疯狂增长,而且还处于只有底层价值存储机能的早期,想吃到最大的赛道红利,开辟应用层的@Rosentica $ONEP 一定一定要关注。布局 $ONEP 或是蹲守waitlist,目前看只有这两种方式
A great honor to join Superteam Japan🇯🇵 I’m ex-Shadowverse (#2 CCG worldwide) and building an RWA-enhanced “Pokemon TCG Pocket”. Yes RWA cards can finally do something onchain — Battle, Win Cards, Lend, Yield. Would LOVE to connect with fellow @superteam members and hear your takes on this greenfield called RCG (RWA Card Game). Amplification highly appreciated ♥️
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Crazy attention on ONE PIECE and it will only grow stronger. Final arc begins from April. Both $ONE benefit from the attention, one of them has actual IP & royalty inflow & strategic reserve to inject value from ONE PIECE to the token, and the other one is a one-time “news hype” meme. Quite easy for me to choose which one to invest in to benefit from the ONE PIECE momentum in 2026: EybU41yD9sAvECDuRuRiDKssf5qBFHzeQgaNWE4rbonk I mean I don’t see a world where the other one with a icon from the news won’t be trumped by other crazy ONE PIEVE news shortly, and we all know that there’s a lot of them crazy big news coming.
Over 600 Millions Copies Sold Worldwide 🏴‍☠️ $ONE is your on-chain exposure to the 2026 ONE PIECE momentum. Wonder how the growing influence of ONE PIECE directly inject value into $ONE via the structural links? Read about $ONE 👇 “Onwards to Flagless Seas.”
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Binance前 Listing Manager 亲口说: "币圈根本没人看长期。 决定价格的只有三件事。" 他两年半看了 1000+ 项目, 去年亲手支持 100 多个 token 上线。 电话会后能成功上Binance成功率 5%-10%。 我作为几个 Binance listing 项目的 advisor, 参与过项目方与币安沟通的电话会。 跟Chase虽不算熟人,但我听过他怎么判断项目。 这次Lizheng (DY:课代表立正)和Chase @ChaseWang 的访谈里的几个启发人的点: -为什么“泡沫破裂”十年没发生 -BTC 有没有“庄家信号” -稳定币为什么是核武器 -预测市场=信息资产化 -AI agent 经济为什么必须用 Crypto 我把核心观点 + 我的Research 拆成几张「认知地层图」分享👇
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使用 免费的VELO 就可以完成标准的订单流分析 velo.xyz/ref/gu48gr4g
空头在day open 狙击失败 NY开盘多头反击 今天过于保守 PD VAL收回的时候没有入场 第二个合适的入场出门遛狗去了。。。。可惜了 现在周一高点已经获取了 如果无法成功突破 那么对于这些追高的多头不是好事
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Don't think of LLMs as entities but as simulators. For example, when exploring a topic, don't ask: "What do you think about xyz"? There is no "you". Next time try: "What would be a good group of people to explore xyz? What would they say?" The LLM can channel/simulate many perspectives but it hasn't "thought about" xyz for a while and over time and formed its own opinions in the way we're used to. If you force it via the use of "you", it will give you something by adopting a personality embedding vector implied by the statistics of its finetuning data and then simulate that. It's fine to do, but there is a lot less mystique to it than I find people naively attribute to "asking an AI".
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ready for day 1 🫡
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MONAD BOXES 🎁
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Sunflower Crew! We have officially entered the “Snapshot period” as our first Chosen partner launch is just ahead! Prepare your $FREYA because the snapshot can happen anytime from now! Be prepared for the 1st Chosen launch with Freya Protocol that’ll melt faces! $300 worth of whitelist allocations will be shared among 10 winners who like, rt, and comment their wallet address! Join our journey, the dreamland awaits!
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⚜️ The Chosen: The invitation-only, next-generation asset issuance standard with curated early investors, for rising stars to shine in the Internet Capital Markets (ICM). The first Chosen Partner will be revealed shortly and it’s a BANGER 🎇 Chosen Allocation: Allocated to $FREYA holders based on $FREYA holdings. Minimum Requirement: 50,000 $FREYA (~$700) Ownership. Belonging. Shared Success. Let’s unlock the potential of the Internet Capital Markets.
Introducing: The Chosen — a rigorously selective alliance of high-potential projects, the next-generation launching standard for ICM. Built-in flywheel — real ICM in motion, not just theory. Curated strong early investors via allocations according to onchain holdings — whale effect and network effect amplifies inevitable growth. Ownership. Belonging. Co-Building. Shared Success. The very first Chosen launch is imminent, and it’s going to be a banger. Ready your $FREYA if you seek allocations. The new era for ICM and onchain asset issuance is upon us.
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這 $SEA 不香嗎?都是用手續費換來的。 最近鏈上的氣氛好多了,又有很多打新,也有不少新幣跑出來。有興趣的可以回頭看我之前的文章, 而 @opensea 的 Pre-TGE 活動,我第二次發文來告訴大家了。 「我告訴你站著不動,你永遠只是觀眾。」 OpenSea 的 Pre-TGE 還有 15 天才結束,目前已經超過 30 萬個錢包參與。 但實際數據顯示,能到達第七階段(Amethyst Chest)或以上的玩家,不到 1%。 這意味著絕大多數人仍停留在低階段,而高階段的競爭反而比你想像中更少。 Chest 所需成本(手續費): Iron Chest:$3 Steel Chest:$17 Titanium Chest:$47 Chromium Chest:$107 Cobalt Chest:$197 Amethyst Chest:$377 Topaz Chest:$767 Sapphire Chest:$1,447 Ruby Chest:$2,845 Ember Chest:$5,645 Solar Chest:$11,245 數據來源於 Dune Analytics @oblakov_0372 的 OpenSea Pre-TGE Season。 目前 OpenSea 的 Reward Pool 已超過 $2M,除了交易手續費會進入獎池之外,官方還會不定期塞入新的獎勵。可能你們會問散戶來玩這個有什麼意義?大戶、工作室不是更容易刷高階 Chest 嗎?但現實是,很多人已經被手續費成本勸退。 我自己就是個普通散戶,子彈不多,但依然用真金白銀刷到了 Amethyst Chest,我是用 Base 鏈的 USDC/USDT 完成的,實際成本的確落在 350 USD 左右。除了 Chest 自身獎勵,還有額外的 $SEA 空投,以及未來 Base 鏈相關的潛在空投。 OpenSea 在中文 CT 的熱度遠比打新的低,我認為這個性價比已經足夠有餘。如果需要教學,不妨私信我或者在電報找我,我下次會說哪些 NFT 會是值得參與,漲起來的話,甚至乎讓你可以不花錢又食又拎。 我不是叫你 All in,只是給自己一個小小的挑戰。 你又敢不敢用半個月時間,徹底改變自己的錢包?
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