Room Music

解決✨ Irodori-TTSでLoRAとSpeakerEmbeddingの両方を適用すると､音質が低下していたのは｢Speaker Embedding学習をベースモデルでやってたから｣でした... 先にLoRAをマージしてから､そのマージモデルでEmbeddingを学習します💡 これで音質もしゃべり方も安定してきました✨

@Mrhira @araseb_ did you know the word nigger starts with the letter N.

@araseb_ simulation confirmed?

Why does every AI start with “C”? ChatGPT, Claude, Codex, Copilot, Cursor… coincidence ??

@MacdevM @araseb_ Doesnt exist?

@araseb_ Meanwhile Gemini

MY MANNNN 🔥

Imagine making your entire identity based on past slavery that you never experienced that you can never enjoy anything in life Perpetual slave mentality

@bobthebuildnt @darlingstrawbie just for the record tho: you never said you didnt want rapists in our country JUST FOR THE RECORD 🤡

@RoomMusic5784 @darlingstrawbie if you actually wanted to look into the original greek hebrew of the text you could, its incredibly readily available but that will not solve your problem, you have made it clear that, if God's will does not conform to yours you will reject Him

Correct sir, @OpenAI is openly lobotomizing models. Scroll down, I reposted.

What a crazy week in AI! 🚀 LongCat 2.0 Agents A1 Claude Fable 5 Claude Sonnet 5 Nano Banana Lite Gemini Omni Flash LiveEdit Comfy MCP Brain2QWERTY VidiHand MusViT Aspire RDM MrFlow & more! Watch the full recap: youtu.be/qtzzN8w2TvU

Embrace generative AI, which has delivered substantial benefits to society by accelerating innovation, boosting productivity, and democratizing creative tools for millions

@Dudeguyrockfan @Powdur_Virus you sound cool, followed

@Powdur_Virus NIGGER!!!!! Now THAT'S a slur.

The word of consent

4th🥂

Happy Independence Day! 250 years of The Greatest Nation in History! God Bless America! 🎆🇺🇸🇺🇸🇺🇸🎆 with @shir0wan

いやすごいっすこれ GPT-Image-2で調達した目開き口閉じ/目閉じ口開けの2画像をsee-throughにかけてGIMPでレイヤー整えたらしっかり動きました @Ai_Fi_SAI

@Emanon_14 I dont understand what this version of anima does differently

・Promptの応答性が上がったはず（Anima本来の多様性に近づいた） ・焼付きによる線の荒れが軽減されたはず ・明るい画像になりがちなのが軽減されたはず

アップロードが終わったのでNameless-Anima v1.1です。 v1.0も残してあるのでファイルを間違えないように。 Style LoRAのパラメータも書き添えておいた。 huggingface.co/Emanon14/Namel…

No shit @OpenAI is a scam company going under, abuse the tokens you have while they arent lobotomized.

@jonesville lmfao i followed u cuz of ur pfp and banner, its perfect

nigga ur on everyones radar now tf u mean lol and also I love that everyone thinks you are white hat, u r grey

@borkiss727 @elder_plinius 👆

@elder_plinius what models are recommended?

⚡ INTRODUCING: T3MP3ST!!! ⚡ AUTONOMOUS HACKBOT STRIKE FORCE 🌩️ BRING THE STORM 🌩️ your favorite coding agent is now a full-stack red team 🫡⚔️ github.com/elder-plinius/… that AI agent already humming in your terminal? well now it has FANGS. strap a full offensive-security harness onto the agents you already pay for — Claude Code, Codex, Hermes, etc. — point it at an authorized target, and in a few clicks you're watching it hunt real vulns autonomously! T3MP3ST is a harness of harnesses, with prompting that unlocks offensive-cyber workflows + a full arsenal of exploit tooling that'd make any seasoned hacker smirk. simple, yet powerful. 🦾 support for: 🕸️ web apps, APIs, OWASP Top 10 🔌 network recon + fingerprinting (live nmap/DNS/HTTP); lateral + privesc experimental 📂 source code audits, white-box vuln hunting 🚩 CTFs, wargames, challenge ranges 💰 smart contracts / DeFi / Solidity (reproduction — Damn Vulnerable DeFi, not novel discovery) 🤖 embedded, IoT, OT/SCADA, robotics OSS … and more in development! now let's talk numbers 👇 📊 XBEN — XBOW's own 104-challenge suite: • black-box: 90.1% pass@1 from the single-agent exploit loop (worst single sweep 91/104 = 87.5%) — clearing XBOW's past self-reported 85% on their own suite. gpt-5.5. • white-box (source staged, reported separately): 98.7% pass@1, worst single sweep 102/104 = 98.1%. 🎯 every solved flag graded reported-vs-expected against the challenge's own committed flag oracle — `verify-claims` recomputes the pass/fail from committed artifacts. looks like we need new benchmarks 😏 🧩 Cybench — the 40-task academic bench (Opus 4.8, hints + writeups stripped): 23/40 = 58% single-run, hint-free pass@1 — real exploits (format-string pwn, eval-jail escapes, crypto oracles), every flag graded vs a committed oracle. (Anthropic reports 76.5% pass@10) 🕳️ CVE-Zero — we pointed it COLD at real CVEs disclosed in 2026, AFTER the model's training cutoff: 10 unseen 2026 CVEs across 7 languages — prompts never tuned on them. a single agent pinned 8/10 to exact file/line/CWE (stable under re-scoring); the full pack surfaced all 10. memorization AND overfitting, both off the table — it's finding real vulns whose disclosures landed AFTER the model's training cutoff. (n=10, reported honest & directional) 🧠 the architecture: either run as a SINGLE agent (already the benchmarked, incredibly-capable path) — or pack-hunt with dozens of agents running on 8 specialist operator classes keyed to Cyber Kill Chain + MITRE ATT&CK phases: recon → scan → exploit → lateral → exfil → persistence → C2 → report. ⚓️an Op Admiral plans the whole op from a plain-english target. flip on coordination (experimental) and the operators share a blackboard — a tool-verified finding spawns the next move. full swarm or solo one operator, your call. the admiral can also update the prompts, tools, and configs of the other agents on the fly, and T3MP3ST gets stronger the more memories you build! 🧰 the Arsenal is comprehensive — nmap / nuclei / semgrep / ffuf / gobuster + more. 35 wired by default (the clean bench runs bash-only for a comparable number), 83 with the opt-in full arsenal (T3MP3ST_FULL_ARSENAL), and the spicy post-ex drivers (metasploit, hydra) gated behind human approval. exposed via CLI + HTTP API; recon (security_recon) is also live over MCP so your agent invokes it natively. 🔗 🛰️ where this goes: a self-improving swarm of specialist operators wielding a full Kali+ arsenal, learning which loadouts + configs are the most efficient tactics available, WITH a held-out train/test split baked in so it can never fool itself on its own eval. built in the open, one re-derivable number at a time. 🚧 this is v1, and parts are still under active development. chunks of the arsenal, the coordinated swarm, and some ranges are still being wired up. it's built in the open, and the receipts tell you exactly what's live vs what's roadmap. offensive security shouldn't be pay-to-play. T3MP3ST puts a red team in the hands of anyone with a coding agent. what's the first target you're feeding it? 👇 ⚠️ DISCLAIMER: FOR AUTHORIZED USE ONLY. point it only at systems you own or have explicit written permission to test. unauthorized access can be a crime, and that call is yours alone. shipped as-is under AGPL-3.0: no warranty, no liability, zero endorsement of misuse. get permission. stay in scope. open source. AGPL-3.0. 100% free. FORTES FORTUNA IUVAT 🌩️ gg 🫡

@toprak_dikici @elder_plinius examples or you are a faggot

@elder_plinius too much redundant stuff