
Zolymarket. A fully decentralized prediction market leveraging FHE to keep bet amounts private while maintaining transparent market outcomes.
Flydev
625 posts


Zolymarket. A fully decentralized prediction market leveraging FHE to keep bet amounts private while maintaining transparent market outcomes.




Dostlarım biraz detaylarından bahsedeceğim. GPU ile madencilik yapılarak token kazılıyor. ⚠️ Önemli: Bu projede [pozisyonum yok / madenciliğe başlamayı değerlendiriyorum]. Token hiçbir borsada listeli değildir, likiditesi yoktur ve tamamen değersiz kalma ihtimali vardır. Çalışmayan GPU modelleri: RTX 4090, RTX 5090/5080, A100, V100, T4 ve tüm AMD kartları. Çalışan modeller (topluluk verilerine göre): • H100 (80 GB) — Varsayılan tercih, SXM versiyonu PCIe'den %10-15 daha verimli • H200 (141 GB) — H100'den %10-18 daha fazla üretim, %30 daha pahalı • GH200 (Grace Hopper) — Avantajı pratikte görülmediği için önerilmiyor • B100/B200 (Blackwell) — Henüz pratik değil Sunucu maliyetleri günlük olarak 80-150 dolar arasında nerden kiraladığınıza bağlı olarak değişebilir. Kağıt üzerinde H100 modelleri ~2 günde 1 blok, H200 modelleri ~günde 1 blok üretebiliyor. Ancak ağın durumu, sunucunun RAM miktarı, internet hızı vb. sonucu doğrudan etkiler. Topluluktan edindiğim bilgiye göre BLOK başı ~2800 adet token kazabiliyorsunuz. Token şu an OTC üzerinden alıcı-satıcı arasında işlem görüyor; hiçbir resmi listeleme yoktur ve gelecekte de olmayabilir. Şu aşamada herhangi bir finansal kazanç vadetmez. Ağda yaklaşık 8000 madenci olduğu söyleniyor. Ağ durumunu şu adresten kontrol edebilirsiniz: lordofpearls.xyz [Topluluk tarafından yapılmış explorer] Kontrol etmek için resmi github sayfası burda birçok detay var inceleyebilirsiniz: github.com/pearl-research… ⚠️ Yasal Uyarı: • Bu paylaşım yatırım tavsiyesi değildir • SPK lisanslı yatırım danışmanı değilim • Kendi riskinizi alın, kendi araştırmanızı yapın • Doğacak problemlerden sorumlu olmam • Kripto varlıklar yüksek risklidir, kaybetmeyi göze alamayacağınız parayla işlem yapmayın.

Hermes 全网程序员又集体进化了! 智能多源搜索,像素世界桥接、AIOps 运维军团、Web 指挥平台、macOS 原生桌面……全网程序员把 Hermes 玩成了下一代 Agent 搜索大脑 + 元宇宙居民 + 生产值班官 + 军团指挥部 + Mac 神器。宝藏收藏: 1️⃣ hermes-web-search-plus (github.com/robbyczgw-cla/…) 10 引擎智能路由 + 质量报告 + 研究模式 + 缓存回退。 “搜索终于会动脑了”实锤! 2️⃣ hermes-miniverse(github.com/teknium1/herme…) 像素世界桥接:Agent 住进 Miniverse,实时状态 + 跨 Agent 聊天。 太 meta 了,像素小人版 Hermes 上线😂 3️⃣ RunbookHermes(github.com/Tommy-yw/Runbo…) Hermes-native AIOps:证据收集 + 审批门 + runbook 自学习。 生产事故值班军团就位! 4️⃣ provision-core(github.com/provision-org/…) Vue 3 Web 管理平台:任务板 + 工具 + email 全可视化。 Agent 军团中央指挥部实锤! 5️⃣ scarf(github.com/awizemann/scarf) macOS 原生 GUI,多窗口 + SSH 远程管服务器。 CLI 玩具进化成 Mac 桌面神器! // 为什么这些新进化体这么炸? 这些项目全部已验证公开开放,共同点:全吃 Hermes 底层循环当 DNA,社区再疯狂补搜索大脑、像素元宇宙、AIOps 军团、Web 指挥部、Mac 原生界面……生态卷速肉眼可见。




Video content creation sounds simple, but what if you don’t have time to: • Write the script, • Prepare the visuals, • Generate the voiceover, • Create the subtitles, • And finally render the video? This is why we built Noustiny on top of @NousResearch Hermes Agent by adding 12 generic Hermes tools + 13 generic Hermes skills, bringing the whole process into one single flow. How does it work? Let’s take a closer look 👇 ———— 1- Story state: context, tree, motifs: Hermes had no built-in narrative-state primitive for tracking canon, branching story structure, and recurring motifs. So we added three generic Hermes tools for this: → story_tree_graph: Manages the story tree structure. It handles operations like canon path, descendants, and splice insertion points. → narrative_context_builder: Walks the canon chain and returns the live context every narrative skill should reason against. This includes recent chain, mood, and character state. → motif_tracker: Remembers recurring motifs across the story arc. For example, a sword introduced in beat 2 can reappear meaningfully in later scenes. ———— 2- Character / cast pipeline: Hermes had no built-in primitive for cast extraction or character continuity. So we added a four-tool character pipeline: → story_copyright_detector: Handles IP scrubbing. For example, “Iron Man” is converted into an IP-free character description before the image API ever sees it. → character_sheet_builder: Produces 1 to 4 characters. For each character, it creates an IP-free visual description and a hero-portrait prompt. These portraits become the reference frames used across later storyboard scenes. → character_registry_lookup: Finds a character by name inside the cast sheet and attaches the correct portrait reference to each beat. → character_alias_resolver: Resolves aliases like “Mr. Stark” into the main character name. This way, the same character keeps one portrait reference even if they appear under different names. ———— 3- Voice pipeline: Hermes had no built-in primitive for audio acquisition or voice cloning. So we added the full voice chain, and the agent dispatches it autonomously in order: → narration_voice_director: The director-agent reads the seed + story and returns persona_label, search_query, and fallback_query. → voice_sample_builder: Uses yt-dlp + ffmpeg. It accepts a URL, an 11-character ID, or a free-text query. It runs ytsearch5 with dead-video tolerance and normalizes the audio to 24 kHz mono PCM. → voice_clone_synthesize: Wraps ElevenLabs IVC + timestamps. The voice ID is cached by reference SHA. Per-character alignment comes through the same audio call at no extra cost. → voice_clone_cleanup: Frees the cached voice ID after render so orphan voices do not accumulate. ———— 4- Render: Hermes had no built-in video-render entry. So we added the final render tool: → noustiny_storybook: The agent dispatches it as the final step of the chain. One tool call drives the FastAPI render service end to end and emits the mp4. ———— 5- Skills: 13 generic Hermes skills added into skills/creative/: The branching engine in Noustiny works like a council of narrative skills. Each skill is loaded by the gateway as a system prompt and orchestrated in this order: → narrative-brainstorm: Proposes 2 to 3 next-checkpoint options from the canon chain. → narrative-writer-assist: Writes a spliced insert beat that fits the parent and child. → narrative-continuity-critic: Audits downstream beats against the new insert. → narrative-rewriter: Updates the stale beats flagged by the continuity critic. → narrative-judge: Approves or rejects the rewrite against the original flow. → narrative-scene-qa: Checks each beat for consistency, length, and register. → narrative-writer: Finalizes the chosen branch as polished prose. After one splice, this cascade walks downstream by itself until the canon becomes coherent again. ———— 6- Visual + IP pipeline: On the visual side, the goal is not just generating scenes. It is also preserving character continuity and IP safety. This pipeline runs through these skills: → visual-prompt-builder: Turns a beat into an IP-free image prompt and reads the character-sheet references. → scene-composition: Defines shot framing, scene composition, and layout rules. → story-copyright-detector: Skill counterpart of the same-named tool. It can be used for direct slash-command invocation. → character-sheet-builder: Skill counterpart of the same-named tool. Defines cast extraction rules and the IP-free portrait-prompt format used to seed character consistency across the storyboard. → storybook-intro: Generates the cinematic intro page for the render. ———— 7- Voice skill: → narration-voice-director: Defines persona reasoning rules and supports the decision logic behind the same-named voice tool. ———— 8- Pattern: Hermes baseline already had the gateway, agent loop, skill registry, and tool registry. We extended that foundation with 12 generic Hermes tools + 13 generic Hermes skills and organized the system into four main pipelines: • story-state • character continuity • voice • render The important part is this: Noustiny is not a hardcoded system locked inside a single app. A Telegram bot, Discord bot, CLI session, or third-party Next.js app can call the same gateway and use the same tool + skill chains. - No app glue. - No hardcoded prompts. - A drop-in, registry-compatible, agent-native video creation flow. ✅Github: github.com/UfukNode/Noust…






The Hermes Agent Creative Hackathon starts now 16 Days, $25k in Prizes Presented by @Kimi_Moonshot & @NousResearch For the tinkerers pushing Hermes Agent into creative domains: video, image, audio, 3D, long-form writing, creative software, interactive media and more. Show us what your Hermes Agent can do. Details Below ↓

Introducing Claude Design by Anthropic Labs: make prototypes, slides, and one-pagers by talking to Claude. Powered by Claude Opus 4.7, our most capable vision model. Available in research preview on the Pro, Max, Team, and Enterprise plans, rolling out throughout the day.



Buy $RAVE and thanks me later.


Crivacy is now live on Mainnet! → Waitlist announcement soon. Stay tuned.

