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mlx_lm.server + Qwen3 Coder Next 6bit + OpenCode + M3 Ultra = a pretty capable and very fast local coding setup. Not sped up:

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Awni Hannun

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66,668 Aufrufe • vor 6 Monaten •via X (Twitter)

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MLX MiniMax 2.5 running LOCALLY on a single M3 Ultra 512GB! Writing a poem on LLMs at 6bit quantization! 🔥 Let's start some coding, context and distributed tests! Generation: 40.2 tokens-per-sec Peak memory: 186 GB
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MLX MiniMax 2.5 running LOCALLY on a single M3 Ultra 512GB! Writing a poem on LLMs at 6bit quantization! 🔥 Let's start some coding, context and distributed tests! Generation: 40.2 tokens-per-sec Peak memory: 186 GB

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someone submitted a pr that added "beast prompt" to opencode for gpt models it makes 4.1 actually good at tool calling look how fast this thing goes, video not sped up
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this is not sped up. Cognition SWE-1.6 is just moving fast enough that the interaction feels like a different product category the nice thing about a model this fast is you stop treating it like a task runner and start treating it like something you can actually riff with!
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this is not sped up. Cognition SWE-1.6 is just moving fast enough that the interaction feels like a different product category the nice thing about a model this fast is you stop treating it like a task runner and start treating it like something you can actually riff with!

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Next task - building a training program generator. Pretty straightforward using Claude Sonnet 4.6. Will complete, refine, set up payment system, and test. I don't intend this project to go live - I'm just learning; zero background in coding or software development.
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Next task - building a training program generator. Pretty straightforward using Claude Sonnet 4.6. Will complete, refine, set up payment system, and test. I don't intend this project to go live - I'm just learning; zero background in coding or software development.

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Quick update on the water situation 💦 M3 Ultra and Titan (RTX6000 Pro) seem to have recovered with little to no visible damage. The main issues are with my MacBook which is in service and Titan CPU temperatures being above avg when idling (58C up from 35C prior to water incident). Anyways, here is a video of MLX-VLM serving Qwen3-4B-Instruct on Titan (~300 tok/s) to do autocomplete and git commit message generation completely locally via Zed IDE.
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My 72-year-old student Bob can still rip it 300 yards. Not because he swings harder—but because he finally learned to stop fighting the forces in the golf swing and let them work for him. A sound, traditional setup is worth its weight in gold, and Bob is living proof that real power never goes out of style. I’ll be teaching all of my Classic Power principles in a free webinar on December 19th and 22nd. The last one filled up fast, so if you want in, don’t wait—sign up now. Link below.

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114,788 Aufrufe • vor 8 Monaten

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Here’s how Starlink next‑generation V3’s laser network works in space Each Starlink V3 satellite is equipped with six high-capacity space lasers capable of operating at up to 400 Gbps These laser links connect satellites directly to one another, creating a fast, high-bandwidth and resilient mesh network in orbit that can route massive amounts of data around the planet without relying entirely on nearby ground stations That means more network capacity, faster data routing, greater reliability and stronger connectivity across remote and hard-to-reach regions Starlink V3 is not just a more powerful satellite It is a major upgrade to the internet infrastructure being built in space

X Freeze

21,988 Aufrufe • vor 1 Monat

Apple iPhone 16 vs Pixel 9: Which one should you buy? The iPhone 16 is more of an iterative upgrade over its predecessor, but the Pixel 9 brings several notable upgrades, especially in the camera, design and chipset. While the Tensor G4 may not be as fast as the iPhone 16’s A18 chipset, it no longer heats up and is pretty fast when it comes to multitasking and completing AI-powered tasks. If you are already a part of the Apple ecosystem and have the iPhone 14 or an older device, the iPhone 16 might make sense. On the other hand, the Pixel 9 with its smart AI features, solid design and capable cameras might appeal to to those who want a phone that will get software updates for years to come and want to enjoy the clean user interface stock Android has to offer.
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Apple iPhone 16 vs Pixel 9: Which one should you buy? The iPhone 16 is more of an iterative upgrade over its predecessor, but the Pixel 9 brings several notable upgrades, especially in the camera, design and chipset. While the Tensor G4 may not be as fast as the iPhone 16’s A18 chipset, it no longer heats up and is pretty fast when it comes to multitasking and completing AI-powered tasks. If you are already a part of the Apple ecosystem and have the iPhone 14 or an older device, the iPhone 16 might make sense. On the other hand, the Pixel 9 with its smart AI features, solid design and capable cameras might appeal to to those who want a phone that will get software updates for years to come and want to enjoy the clean user interface stock Android has to offer.

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