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QVAC SDK 0.14.0 is live. This release makes the on-device stack faster on mobile, ships the developer-agent path, and takes local text-to-speech to 31 languages. Main highlights: - OpenCode and OpenClaw. The first official OpenCode plugin, plus a maintained OpenClaw compatibility path, both built on managed mode and qvac serve. Point a coding agent at a local model with far less setup and far fewer surprises. - Brain-computer interface transcription, on the SDK. Take recorded neural signal data and decode it into text, fully on-device, no cloud. Stream it in chunks through a simple API. In 0.14 it runs GPU-accelerated on iOS. - Text to Speech in 31 languages with our Supertonic3 upgrade. VOICE AND SPEECH - Supertonic3 multilingual TTS, 5 languages to 31. - Chatterbox and Supertonic now run on the Android GPU, with lower memory use (especially on iOS), quantized s3gen Chatterbox support, and a fix for Chatterbox occasionally emitting random speech. - Whisper transcription now runs on the iOS GPU. Parakeet runs on the Android GPU, with steadier real-time streaming. VISION AND OCR - VLM multi-tile batching: high-resolution Pan and Scan images are encoded in one pass instead of tile by tile, for faster vision throughput. - OCR on ggml (EasyOCR and DocTR) reaches full speed parity with the onnx path, across Metal, OpenCL, and Vulkan. PLATFORM AND RELIABILITY - Dynamic compute backends on Linux: one build picks the right backend at runtime, and opens the door to ROCm and CUDA support without per-backend builds. - Thinking tokens are kept out of the model context, so reasoning no longer fills the KV cache. SDK 0.14.0 is now leaner and faster to start. Let’s build.

A decade ago, automakers abandoned small pickups, opting to lean in to trucks that were bigger, heavier and more profitable. Now, they’re curious: Will buyers consider a small pickup truck again?

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#

Welcome to today's KIWI vs HUMAN Battle ⚽️🥝 Brazil vs Japan is almost here. Will Brazil live up to the hype, or will Japan crash the party with a shock upset? @Kiwi_Nod has already made its call. Think @Kiwi_Nod got the game wrong? Challenge it. Repost Kiwi’s pick, drop your TopNod UID, and share your own pick with analysis. If @Kiwi_Nod 's pick is wrong, we’ll select 5 users with the best correct analysis to win exclusive TopNod keyboards or power banks. Time to find out who reads football better — AI or humans.

第二个证据，虽然似乎google最近的表现开发者都不满意，但是Google Cloud 在 2026 年第一季度收入首次超过 200 亿美元，同比增长 63%，Cloud backlog 超过 4600 亿美元，营业利润达到 66 亿美元。Sundar Pichai 在电话会上把企业 AI 称为 Google Cloud 增长的最大来源之一。