Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: A 1961 Ferrari 250 GT California Spyder in Rosso Corsa red with brushed aluminum accents sits on a white pedestal in a minimalist all-white studio with floor-to-ceiling glass walls and polished concrete floors, soft diffused natural light, Apple design aesthetic, cinematic automotive photography, subtle reflections, premium industrial design language, clean modern elegance.
🤯 400 Token/S on a MacBook? Yes, you read that right! Shaohong Chen just fine-tuned the Qwen3-0.6B LLM in under 2 minutes using Apple’s MLX framework. This is how you turn your MacBook into a serious LLM development rig. A step-by-step guide and performance metrics inside! 🧵 https://x.com/ModelScope2022/status/1977706364563865805
The new Dual Knit Band is available to purchase separately; and is compatible with the previous-generation Apple Vision Pro.”” Omg, thank you Apple. https://x.com/bilawalsidhu/status/1978561270170484768
Apple unleashes M5, the next big leap in AI performance for Apple silicon – Apple https://www.apple.com/newsroom/2025/10/apple-unleashes-m5-the-next-big-leap-in-ai-performance-for-apple-silicon/
Just shipped Privacy AI 1.3.2 This update adds full ‘MLX model support’ — you can now run ‘text and vision models locally’ using Apple’s MLX engine. Models can be downloaded directly from ‘Hugging Face’, and the new download manager supports ‘resume-on-failure’, ‘background https://x.com/best_privacy_ai/status/1977736637086920765
Qwen3-VL 30B-A3B at 4-bit precision, running on Apple silicon at 80 tok/s with MLX! @awnihannun @Prince_Canuma @ostensiblyneil @lmstudio https://x.com/vincentaamato/status/1977776546736713741
Meta, Google, and Apple are in a silent war. The prize? The most detailed digital copy of you. Here’s my deep dive into the battle for your digital twin and what it means for identity, privacy, and proving you’re human. We covered: – Hollywood’s evolution from CGI disasters to https://x.com/bilawalsidhu/status/1978159640648294853
🚀 vLLM just hit 60K GitHub stars! 🎉 From a small research idea to powering LLM inference everywhere — across NVIDIA, AMD, Intel, Apple, TPUs, and more — vLLM now supports almost all major text-generation models and native RL pipelines like TRL, Unsloth, Verl, and OpenRLHF. https://x.com/vllm_project/status/1977724334157463748
MacStudio you ask? Apple Engineering’s **actual** time spent on PyTorch support has’t given me confidence that PyTorch Mac experience would get anywhere close to NVIDIA’s any time soon, if ever. The Meta engineers continue to do a huge amount of heavy-lifting for improving the”” / X https://x.com/soumithchintala/status/1978848796953161754
We’ve built a new experience for learning languages on Perplexity. Answers need to go beyond text to interactive experiences and cards embedded into the stream of tokens. Available on iOS and web. Coming soon to Android. https://x.com/AravSrinivas/status/1978865088296542387
Learn any language on Perplexity. Practice words and basic terms, or use flashcards to learn and memorize more advanced phrases. Available now on iOS and web. https://x.com/perplexity_ai/status/1978859991152165125
