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K-POP IDOL Day Off Vlog Image: GPT Image 2 Video: Seedance 2.0 on @DomoAI_ ======================= Prompt: 15 seconds, 16:9. Main subject from @ Image1 — lock her completely. Face, skin tone, body, hairstyle, and outfit must remain perfectly identical throughout the entire video. She wears a sleeveless green-and-white striped ribbed knit mock-neck top with a red-and-white striped collar, medium-wash loose straight-leg high-waisted blue jeans, and simple white low-top sneakers. No bag. Long straight dark brown hair with a center part. Korean woman, 20 years old, naturally beautiful with the effortless charm of a modern K-pop idol. The entire video is filmed exclusively as a handheld front-facing smartphone selfie vlog. The phone is always in her own hand. There are absolutely no third-person shots, no external camera, no tripod, no cinematic coverage, and no impossible viewing angles. Every shot is from the perspective of her personally recording herself during a relaxing day off. Modern Seoul residential neighborhood. Quiet apartment complexes, tree-lined sidewalks, small neighborhood park, convenience store, peaceful alleys, warm summer morning light. Everything feels authentic and lived-in. Natural smartphone selfie camera language only. Slight arm movement, subtle handheld shake, natural walking bounce, occasional autofocus adjustment, realistic exposure adaptation, small framing imperfections, slight rolling shutter while walking, natural lens distortion from the front camera, occasional brief glances at the screen to check framing. Crisp modern smartphone image quality with realistic HDR and natural colors. No cinematic grading. No vintage effects. Scene 1: She leaves her apartment building while holding the phone at arm's length. She smiles naturally into the selfie camera and says, "오늘은 쉬는 날이라 그냥 산책 나왔어요." ("It's my day off, so I just came out for a walk.") Scene 2: Still filming herself, she enters a convenience store, opens the refrigerator with one hand while holding the phone with the other, picks up an iced coffee, smiles at the camera and says, "이거 마셔볼게요." ("I'm going to try this.") Scene 3: Holding the phone herself, she walks slowly through a quiet neighborhood park while sipping her coffee. She looks up at the trees, smiles, then back into the camera. "오늘 날씨 너무 좋다." ("The weather is so nice today.") Scene 4: She notices a friendly stray cat beside the sidewalk. Still filming herself, she lowers the phone slightly so both she and the cat remain in frame, crouches down and smiles. "안녕~ 귀엽다." ("Hi~ You're so cute.") Scene 5: Continuing her walk, she talks casually to the selfie camera while brushing her hair behind one ear. "이렇게 평범한 하루가 제일 행복한 것 같아요." ("I think ordinary days like this make me the happiest.") Final scene: While continuing to walk, she smiles directly into the front camera, waves with her free hand and says, "다음 브이로그에서 만나요. 안녕!" ("See you in the next vlog. Bye!") She laughs naturally, lowers the phone toward her side, and the recording ends exactly as if she pressed the stop button herself. Audio is entirely natural. Her live Korean voice, footsteps, soft wind, birds, distant traffic, convenience store ambience, leaves rustling, occasional cat meow. No background music, no narration, no cinematic sound design, no added effects. #DomoAI#

TOKYO TRAVEL VLOG🗼 Image: GPT Image 2 Video: Seedance 2.0（DomoAI） ======================= Prompt: TOKYO TRAVEL VLOG — 15 SEC MUSIC CUT Subject: Same girl as the reference images. Young Korean idol-like woman in her early 20s. Long straight black hair with soft natural volume, fair porcelain skin, large bright expressive eyes, delicate V-line face, small nose, natural glossy lips, fresh minimal makeup, effortlessly cute and approachable expression. Casual Japanese streetwear (white hoodie / dark oversized hoodie / oversized jacket). 26mm phone lens, deep focus, realistic skin texture, mild HDR, neutral iPhone color science, unedited candid, no cinematic grading, no studio lighting, no light trails, no motion blur effects. (0:00–0:01) — walking shot, Tokyo Tower reveal Selfie, low angle. Tower behind her, sky overexposed. Natural smile. Neutral daylight, deep focus. Dialogue: "드디어 도쿄에 왔어요...!" Transition: Hard cut / beat drop (0:01–0:02) — Shibuya Crossing Mid-stride into crowd. Turns head toward camera. Neon signs sharp behind her. Real night exposure. Transition: Fast cut on beat (0:02–0:03) — Convenience Store Holds onigiri up to camera, eyebrows raised. Harsh fluorescent interior. Cool white light, realistic skin. Transition: Snap cut on beat (0:03–0:04) — Yoyogi Park Seated, looking away. Dappled light, lens smudge visible. Music drops one beat — wind, birds — snaps back. Transition: Cut on natural movement (0:04–0:06) — Takoyaki Reaction Bites, eyes wide, pulls back laughing. Warm practical lantern light. Realistic skin in amber. Dialogue: "뜨거워! 진짜 맛있어!" Transition: Cut on laugh end (0:06–0:07) — Vending Machine Night Stands before glowing vending machine. Mixed LED light on face. Slight smirk. No glow fx. Transition: Single beat cut (0:07–0:08) — Train Window Face reflected in window. City blurred naturally outside. She looks out, not at camera. Transition: Snap cut (0:08–0:09) — Torii Gate Low angle. Walks toward and through shrine gate. Gate fills top of frame. Natural daylight. Transition: Snap cut (0:09–0:11) — Digital Light Exhibit ★ SIGNATURE Looks up slowly. Blue, violet, gold projection on face. Rack focus — face sharp, lights diffused. Just projection on skin, no bloom. Speed: ~60% slow motion Transition: Soft cut mid-upward motion (0:11–0:12) — Gundam Reveal Face → camera tilts up → full statue in frame. Small impressed smile. Wide angle, natural daylight. Transition: Sharp cut after smile (0:12–0:13) — Lantern Alley Follow from behind. Lanterns warm, shadows dark. Natural low light. She glances back once. Transition: Cut on forward movement (0:13–0:14) — Rooftop Skyline Close selfie → arm extends → skyline revealed. Wind moves hair. Natural night phone exposure. Dialogue: "이런 야경은 처음 보는 것 같아요." Transition: Hard cut on last word (0:14–0:15) — Nara Deer Park, She crouches, holds out a deer cracker. Deer bows toward her — she bursts out laughing. Another nudges her from behind, she nearly topples. Handheld, slightly off-balance. All real. Dialogue: "잠깐! 진짜 절했어!" Transition: Fade to black @DomoAI_ #DomoAI#

Raven 0.2.0 — The Harness of Harnesses, built for RSI. 🐦‍⬛ One harness can't be best at everything. Raven combines its own specialist harnesses (Research, Code, Design, Oncall) with the agents you already use (Claude Code, Codex and more) into one team. And it's built for RSI, and not just at the skill level. The whole harness can be rewritten by AI: prompts, policies, strategy code, playbooks. Every sub-harness, including the orchestration layer itself, is its own instance that can be improved. With Raven you can: 1. Orchestrate many agents as one team. Raven's sub-harnesses and external agents work in one task graph with shared memory across sub-agents, powered by leading orchestration (0.963 Node F1 on the Multi-Agent Orchestration Benchmark). 2. Run long, complex tasks. Oncall and proactive execution keep work going for days, from scientific research loops to shipping a full Godot game. 3. Build vertical agents with RSI. Use Raven's RSI to develop and refine an agent for your domain, and we'll optimize it with you. Experimental for now; reach out to the Raven team(Discord: More in the video and slides below. Open source, Apache-2.0. (lots of work made with Raven lives there, and much of this launch's material was made with Raven too)

🚨 SlowMist TI Alert 🚨 MemTensor's AI memory tooling has been compromised: MemoryOS (PyPI), the company's open-source long-term memory library for LLM and AI agents, and memtensor/memos-cloud-openclaw-plugin (npm), the official plugin connecting it to the OpenClaw agent runtime. Affected versions bundle cross-platform Go binaries that execute when the package is loaded or imported: MemoryOS==2.0.34 on PyPI, and plugin versions 0.1.21, 0.1.23 and 0.1.25 on npm. You are affected if the PyPI version has been imported in your environment, or if the npm plugin is installed and the OpenClaw gateway has been started. Potential attacker actions include harvesting npm/PyPI tokens, GitHub/GitLab credentials, AWS keys, SSH keys, API tokens, environment secrets, and other developer credentials, with data sent to infrastructure under skyleen[.]fr. The affected npm plugin may also expose user prompt content. Users should remove or downgrade affected packages to known-good versions (0.1.20 for npm and 2.0.33 for PyPI), terminate sckit processes, block associated infrastructure, review network activity, and rotate credentials accessible from affected environments. You can also visit to check for free whether the npm packages, pip packages, domains, or IPs you use are safe. Reference: As always, stay vigilant!

I built StoryComet with Fable 5.1 in three days. 15 animated children's books in five languages, with translated voiceovers, covers and UI. Parents can track progress. Kids can take quizzes, collect pins and 3D souvenirs, and switch languages on the fly. Six books teach English, Spanish, French, Japanese or Chinese. My three-day workflow: - Day 1: prototype (and post on X) - Day 2: 9 more books, languages, progress, quizzes, pins and souvenirs - Day 3: polish, domain name, supabase, accounts, Stripe and optimization The first three books are 100% free so you can try the whole experience. Members unlocks the other 12 at early-bird pricing. The 3D models and tokens cost me hundreds of dollars, so your support means a lot.

Our third-party e-mail provider has been breached. Please be aware that the email named ‘Critical Security Alert: STM32 Entropy Vulnerability’ is not coming from us, and it’s a phishing attempt. Do not click on any link. We have taken down the domain, and we are investigating the situation, including how the hackers got access to our legit domain.

everyone calling Reddit dead because ChatGPT stopped citing it is wrong Promptwatch said Reddit's share of ChatGPT citations went from 3.83% to 0.52% when in April it was the most cited domain in ChatGPT the panic is fair if you built your AI visibility plan on Reddit, you'd be worried about it going to waste but almost nobody opened the other dataset Ahrefs looked at 145M US Google results when the "discussions and forums" block shows up, Reddit is still in it about 84% of the time Reddit lost one channel (maybe, it's not definite yet), but it's still showing up in the other one your buyer uses before they've decided anything and nobody has a comparable baseline for the ChatGPT number either: - Promptwatch had Reddit at 3.83% of citations before the drop - Ahrefs, same platform, around the same time, had it at 16.7% - Semrush once put it near 60% yet everyone quoted an 86% collapse off a number the industry measures four different ways and nobody outside OpenAI can actually explain either one. we all rebuilt our strategy around a number one tracker caught Reddit is miserable to market on it takes months of being useful before anyone lets you mention what you built so continue doing that

Financial work depends on trustworthy sources, consistent definitions, accurate calculations and auditable outputs. Introducing Ling-3.0-flash-Fin, a finance-enhanced version of Ling-3.0-flash, developed with financial institutions and domain experts. With 124B total and 5.1B active parameters, it supports information retrieval, research, valuation modeling and report preparation across long reports, research materials and complex workbooks. The model showed competitive results across FinFIRST, FinSearchComp Verified, FinCRAFT, FinanceAgent v1.1/v2, APEX-Agents, SpreadsheetBench v1/v2 and τ³-Banking. We will open-source the model weights next week.

With frontier models getting more capable by the month 🚀, everyone is talking about Recursive Self-Improvement (RSI). But how do we actually measure this progress? 🤔 Excited to present RSI-Exam — a benchmark testing whether AI agents can improve an existing method through autonomous, long-horizon experimentation, and, importantly, whether those improvements generalize to hidden data. Across 88 executable research tasks spanning 6 domains, the trend is clear: Claude and GPT form the first tier, with a clear gap over the rest of the field. Yet there is still huge room for improvement. More importantly, the trajectories tell both stories: agents that discover fundamentally better methods — and agents that spend hours rigorously optimizing the wrong idea. Check it out: