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📺 YouTube Plus 21.24.3 is out! ✅ iOS 16 → iOS 26+ ✨ Features: • Ad-free YouTube • Video downloads • PiP support • 120Hz support • High-quality video unlock • Playback speed & quality controls • Google account login support 📥 Download:

127,566 views • 3 months ago •via X (Twitter)

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QVAC SDK 0.12.0 is now live, bringing longer context, increased memory optimisation, new modalities, and broader ecosystem support directly to your device. Key Features and Updates: - TurboQuant KV-Cache Quantization: Fit much longer context in the same memory. TurboQuant, an algorithm from Google Research, compresses the KV cache by up to 5x, near-lossless. - Text-to-Video: Generate video from a text prompt, fully local, with the new wan2.1 model in the Diffusion addon - Apple Metal Performance for Flux2-klein: Diffusion on Apple Silicon now matches MLX performance, the native benchmark for Apple GPUs - Robot Control (new VLA addon): A GGML-based Vision-Language-Action addon brings fast, efficient robot control to edge devices - Coding Assistant / Harness Support: QVAC now works with OpenCode and OpenClaw as a local provider. A new @qvac/ai-sdk-provider package automates model registry and provider integration - Cross-Platform Voice: Text-to-speech and Parakeet transcription moved from ONNX to the GGML engine for better CPU and GPU support on macOS, iOS, Windows, Linux, and Android. Parakeet also adds long-term streaming diarization (tracking who spoke when on live audio) - Faster Lightweight Visual Classification: A new GGML-based Classification addon delivers millisecond-level classification, useful where a vision-language model (VLM) would be unnecessarily slow - Under the Hood: Fabric synced to llama.cpp v8828 (from v8189), plus GPU acceleration added to image-upscale models for faster results Full release notes:

QVAC

9,932,369 views • 3 months ago

.fal's Gorkem Yurtseven and Batuhan Taskaya on making an open source video model 35x faster, and what Hollywood wanted after they built it: Last month, MiniMax released H3, an open source video model. fal rebuilt it - they cut down the steps the model takes to make a video, rewrote the code under each stage, and got the GPUs to 70-80% of their theoretical ceiling instead of their usual 30-40%. No quality loss. Video now generates faster than you can film it. The models have gotten so cheap and fast that end users aren't even asking for improvements in either category anymore. The gap has moved to quality, or how closely the model follows the prompt. Hollywood wasn't a customer a year ago and is now fal's fastest growing segment. Studios love it for the little things - extending a shot, moving the camera, changing the lighting. Those edits land 80-90% of the time. fal is chasing 99.9%. In this conversation with a16z's Jennifer Li: 00:00 Intro 01:45 The first open model worth rebuilding 03:45 The industry ran out of compute in April 06:25 35x faster without losing quality 11:05 5s of video generated in 1.5s 14:25 The weekend fal dropped everything 16:15 3 viral projects nobody planned 18:20 Teaching a video model to remember 20:25 An hour of video that's consistent 23:30 2x the usage of other models in 3 weeks 26:35 The case for giving video away for free 29:00 Blender sketch in, finished shot out 30:40 Chasing 99.9% reliability 34:15 Hollywood, fal's fastest-growing customer 36:50 Why studios wouldn't touch it until now YouTube: Gorkem Yurtseven batuhan the fal guy fal Jennifer Li

a16z

133,755 views • 6 days ago

The new Huberman Lab episode is out: How Women Can Improve Their Fertility & Hormone Health | Dr. Natalie Crawford (Natalie Crawford, MD) 0:00 Natalie Crawford 2:26 Fertility as a Health Marker, Infertility 5:34 Perimenopause, Menopause, Hormone Replacement Theory 11:01 Sponsors: David & BetterHelp 13:35 Hormone Therapy, Extending Ovarian Lifespan 19:11 Plastics, Toxins & Fertility 22:02 Does Prior Pregnancy Make Conception Easier?, Secondary Infertility 29:02 Testing Sperm; Pregnancy Loss & Conceiving Again, Fertility Testing 38:17 Sponsor: AG1 39:40 Menstrual Cycle, Egg Number & Quality, AMH Test 48:17 Tool: AMH Test; Fertility Education & Patient Choices 53:13 Tool: Tracking Ovulation; Ovulation Disorders 55:11 AMH Test Cost; Genetic Testing & Patient Choice 1:01:13 Does Egg Freezing Cause Early Menopause?, In Vitro Fertilization (IVF) 1:05:29 Egg Freezing, IVF, Ethical Concerns; Embryo Banking 1:15:21 Sponsor: Eight Sleep 1:16:39 Egg Freezing, Cost & Patient Choices 1:21:22 Concieving After Hormonal Birth Control, IUD or Depo-Provera 1:27:17 Pregnancy Termination & Concieving Again 1:29:28 Support Egg Quality, Tools: Ovulation & Avoiding NSAIDs; 5 Lifestyle Non-Negotiables 1:34:03 Sleep, Melatonin; Cold Plunge 1:38:41 Curcumin, NAD/NR, CoQ10, Supplements for Prenatal Care & Sperm Health 1:42:05 Sponsor: Function 1:43:16 Fertility Research into Supplements & Lifestyle Factors 1:48:21 Inflammation, Red Light 1:53:12 Cannabis & Detriments to Egg & Sperm Health 1:58:57 Nicotine, Smoking, Egg Health & Sperm Count; Healthy Lifestyle Practices 2:02:21 GLP-1s, PCOS, Endometriosis; Human Growth Hormone 2:10:58 Platelet-Rich Plasma; Paternal Age & Sperm Quality; Biotin 2:17:27 Endocrine Disruptors, Fragrances, Receipts, Tool: Fragrance-Free 2:22:48 Patient Education & Empowerment; Inflammation, Celiac Disease 2:25:40 Anti-Inflammatory Diet, Protein, Fiber, Red Meat 2:33:25 Zero-Cost Support, YouTube, Spotify & Apple Follow, Reviews & Feedback, Sponsors, Protocols Book, Social Media, Neural Network Newsletter Includes paid partnerships.

Andrew D. Huberman, Ph.D.

171,704 views • 5 months ago

Memex is in public beta (again) We closed down our signups earlier this year when we launched Memex' collaboration features. Over the past 12 months we've been working hard to polish the product and if you haven't used Memex in a while you may want to try it again. For quick summary of what we've added last year you can watch the attached video or read on. Some highlights: 👯‍♂️ Collaboratively curate, annotate and discuss websites, PDFs and videos. (see video) 📣 Share and collaborate with people who don't use the Memex extension with our new web reader. 🤖 AI assistant to summarise & ask questions about websites, PDFs, YouTube videos and text/video sections. ▶️ Video timestamp annotations, including smart notes 📸 Frame snapshot annotations on Youtube ✍🏽 Annotate illustrations on PDFs 💎 Obsidian & Logseq live sync 🌆 Image Support for annotations 🌙 Dark & Light mode redesign 🐦 Use Memex as a CRM for Twitter & Telegram: Organise/search/filter profiles and annotate chat logs + 200 bug fixes and dozens of quality of life improvements. What's next? 🔓 Private spaces with email invites (in polish) 📱 Native in-browser annotations & search on mobile (in progress) 🗂️ Nesting Spaces for better organisation (in design) Transferrable Lifetime Subscription Deal We've also launched a limited offer for a transferrable lifetime subscription. For $400 you can use all Memex features until you hopefully die at an old age - and if you don't need it anymore you can gift or sell it to someone else. We wanted to make our early supporters benefit greatly from the improvements to the product we're going to make even if they stop using Memex. Our hope is that it'll also help us stay more independent from venture capital pressure as a Steward Owned business. For more info, check out our website (in our bio)

Memex.Garden

19,957 views • 3 years ago

I know your timeline is flooded now with word salads of "insane, HER, 10 features you missed, we're so back". Sit down. Chill. Take a deep breath like Mark does in the demo . Let's think step by step: - Technique-wise, OpenAI has figured out a way to map audio to audio directly as first-class modality, and stream videos to a transformer in real-time. These require some new research on tokenization and architecture, but overall it's a data and system optimization problem (as most things are). High-quality data can come from at least 2 sources: 1) Naturally occurring dialogues on YouTube, podcasts, TV series, movies, etc. Whisper can be trained to identify speaker turns in a dialogue or separate overlapping speeches for automated annotation. 2) Synthetic data. Run the slow 3-stage pipeline using the most powerful models: speech1->text1 (ASR), text1->text2 (LLM), text2->speech2 (TTS). The middle LLM can decide when to stop and also simulate how to resume from interruption. It could output additional "thought traces" that are not verbalized to help generate better reply. Then GPT-4o distills directly from speech1->speech2, with optional auxiliary loss functions based on the 3-stage data. After distillation, these behaviors are now baked into the model without emitting intermediate texts. On the system side: the latency would not meet real-time threshold if every video frame is decompressed into an RGB image. OpenAI has likely developed their own neural-first, streaming video codec to transmit the motion deltas as tokens. The communication protocol and NN inference must be co-optimized. For example, there could be a small and energy-efficient NN running on the edge device that decides to transmit more tokens if the video is interesting, and fewer otherwise. - I didn't expect GPT-4o to be closer to GPT-5, the rumored "Arrakis" model that takes multimodal in and out. In fact, it's likely an early checkpoint of GPT-5 that hasn't finished training yet. The branding betrays a certain insecurity. Ahead of Google I/O, OpenAI would rather beat our mental projection of GPT-4.5 than disappoint by missing the sky-high expectation for GPT-5. A smart move to buy more time. - Notably, the assistant is much more lively and even a bit flirty. GPT-4o is trying (perhaps a bit too hard) to sound like HER. OpenAI is eating Character AI's lunch, with almost 100% overlap in form factor and huge distribution channels. It's a pivot towards more emotional AI with strong personality, which OpenAI seemed to actively suppress in the past. - Whoever wins Apple first wins big time. I see 3 levels of integration with iOS: 1) Ditch Siri. OpenAI distills a smaller-tier, purely on-device GPT-4o for iOS, with optional paid upgrade to use the cloud. 2) Native features to stream the camera or screen into the model. Chip-level support for neural audio/video codec. 3) Integrate with iOS system-level action API and smart home APIs. No one uses Siri Shortcuts, but it's time to resurrect. This could become the AI agent product with a billion users from the get-go. The FSD for smartphones with a Tesla-scale data flywheel.

Jim Fan

992,016 views • 2 years ago

MG Hector Tomahawk EV Quick Impressions after driving it for around 140 km in Kerala Positives ✅ Extremely VFM as a 7-STR package in 19-23L with 69 kWh pack and Lifetime Warranty on battery ✅ I got 6 km per kWh despite having car idle for 3-4 hours and checking out things. 400+ km range is easily achievable ✅ Third row is very much usable with good glass area around and some space still there in the boot ✅ Overall safety features and convenience features kit is good. You don't feel like losing out much. ✅ Power delivery is good, 310 torque helps with 200+ horses, bodyroll well controlled and you don't feel like driving a big SUV with good visibility all around. Steering weighs up fine above 70 kmph ✅ Brakes were very sharp/instant, slight nosedive noticed and ride quality on good roads felt fine ✅ Special thanks to MG for keeping spare wheel and providing one-touch up-down power windows with anti pinch ✅ Overall build, panel gaps, materials finishing inside the cabin is nice. No sharp edges or odd areas. ✅ V2L is good to have, 360 cam with blind sport monitoring was helpful. Large ORVMs too Areas to improve ⚠️ No frunk despite having good space under the hood. ⚠️ Suspension feels judder if you don't slow on deep potholes. ⚠️ Slight wheel-spin was there when you push from standstill on a crushed stones. I would suggest to get soft compound tyres from Bridgestone, Yokohama or Michelin for best grip and control. ⚠️ That small Digital cockpit feels out of sync with overall cabin design ⚠️ Steering color same as dashboard has got mixed opinons ⚠️ Speakers sound could have been better. Bass is good but overall clarity... I was expecting a bit more. ⚠️ Good to have dedicated buttons for multiple things but it would have been great if ventilated seats and autohold along with regen were dedicated controls too Neutral 🟰 Design will grow on you gradually, somehow lacks the butch appeal but looks decent as a family car. 🟰 Middle row is excellent. Can easily have 3 persons there, good glass area, overall comfort and support. Seating is the biggest strength of this car. Long review will be posted soon on Youtube, aaj subah hi ghar pahuncha hoon :)

Sunderdeep - Volklub

31,880 views • 4 days ago