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Nathan Lambert
GitHub
dgx-spark-setup — Setup guide for ML training on NVIDIA DGX Spark (GB10 Blackwell, CUDA 13, aarch64)
blackwell cuda spark
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13 September
General partner at Andreessen Horowitz and author of The Cold Start Problem. Previously led rider growth teams at Uber; has blogged on growth, network effects and marketplaces since 2007.
current homelab setup for local AI experimentation: - hermes box hosted on a Framework Desktop Mainboard AI Max+ 395 - 5090 eGPU running Qwen 3.8 27B for fast tok/s LLM use - sometimes 150+ tok/s - 2x DGX Spark: running Deepseek v4 Flash 0731 - better but slower model - pi 5 for monitoring - Mac mini as a dev box - use Herdr and ohmypi/codex/claude depending on the use case - housed in a 10" DeskPi mini rack (mostly) Hermes is defaulted to local AI but with a homegrown routing plugin hitting a small low TTFT model (Arch-Router) to decide whether to go local or upgrade to cloud/frontier. Tryin… LLMs Anthropic Related
12 September
Former L8 engineer at Meta, Microsoft and Atlassian, now writing and building solo on agentic engineering. Writes Kun's Field Notes and posts a lot about AI coding agents on X.
every model provider should learn from meta's pricing model for muse spark, with fully transparent subsidization labeled for the contributor tier stop doing "in order to use our model at a good price, you must use our harness which secretly collects your data and/or upload your codebase" meta clearly proved there's a way to collect training data without relying on a harness. just be transparent about when you collect data vs not, clearly communicate how much the data is worth, and give the choice to the user and i really don't need your harness. i already have SO MANY state of the art harness… Related
Software engineer, Wikipedia editor and crypto critic; writes Citation Needed and runs Web3 is Going Just Great.
• NVIDIA DGX Spark (AI-focused PC) • Gemini Spark (AI agent) • Meta Muse Spark (LLM) can someone please inform these companies that there is more than one noun available to them #AI LLMs Google Related
10 September
Essayist, journalist and independent researcher on Chinese politics, strategy and cultural history; author of the blog The Scholar's Stage.
A spark may light a prairie fire. A man may cause the spark. He cannot dry out the prairie grass. Quoting @ParkerThayer This post looks like the start of a VERY sophisticated and well-funded PR operation to get support for Democrats to regulate AI into oblivion. Let me show you how it works: 1.) This guy, with minimal followers and no previous account activity, goes to the Wall Street Journal which publishes an excl… Related
Writes The Pragmatic Engineer, the software-engineering newsletter, and wrote The Software Engineer's Guidebook. Formerly an engineering manager at Uber, and at Microsoft/Skype and Skyscanner before that.
Google
Their words
Someone working on Google Spark asked me why I said the product is a joke. It's because this is the product https://t.co/RhBJHv3d4H
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@GergelyOrosz on X x.com
7 September
Creator of Ruby on Rails, CTO of 37signals, and creator of Omarchy.
Their words
The 29(!!) automated translations of the Omarchy website are being powered by @AIatMeta's Muse Spark model running as a post-commit hook on GitHub.
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x.com
3 September
Venture capitalist and founder of Theory Ventures, previously a partner at Redpoint. Writes a near-daily blog on startups, SaaS metrics, data and AI.
Meta launched two things yesterday : a state-of-the-art model & a new pricing system for foundation models. Muse Spark propels US open source models to the frontier. Meanwhile, the pricing system resets the industry’s economics. open source Related
Builds developer tools — SST, and now OpenCode at Anomaly. Posts constantly on x.com and writes almost never; the blog stopped in 2021.
Their words
then setup a script to email 140,000 impacted users with personalized instructions for how to fix the tool they're using all on OpenCode's muse spark free tier
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x.com
16 August
Programmer and teacher; writes on software, learning and the web, and makes the Coding Blocks video course.
Their words
It’s a very interesting book, but for some reason Michio Kaku’s style doesn’t spark me as much as Briane Greene’s or Stephen Hawking’s or Neil deGrasse Tyson’s.
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rakhim.org
11 August
AI research engineer working on large language models. He writes the Ahead of AI newsletter and is the author of Build a Large Language Model (From Scratch).
Whoa, Meta released a new open-weight LLM yesterday, something that hasn't happened since the good old Llama days. Their Meta Muse Glimmer model is a 30B multimodal reasoning model with a Gemma-like architecture design. (“Glimmer” is probably a wordplay on “Spark,” the more likely capable model from which Glimmer was distilled. Muse Spark is only available through Meta’s Model API, though.) Architecture-wise, here are some of the main points: 1. "Only" a 131k context window, compared to Qwen3.6 and Gemma 4, which support 2x that natively; it's reasonable, but maybe on the shorter end in the a… LLMs Related
15 June
Full-stack Laravel developer based in Madison, Wisconsin; maintains open-source Laravel, Livewire and Alpine.js packages and writes at randallwilk.dev.
Their words
On both my MacBook and iPhone, I prefer to use the Spark Mail App for handling my emails.
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randallwilk.dev
10 June
Writer and consultant on formal methods and software correctness; author of Practical TLA+ and Logic for Programmers.
Nontrailing separators do not spark joy This is valid JSON: { "a": 1, "b": 2, "c": 3 } This is invalid JSON: { "a": 1, "b": 2, "c": 3, } The difference is the last comma. The JSON grammar specifies that a comma can separate two members of an object but not po…
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3 June
Writer and developer. He runs the Latent Space newsletter and podcast about AI engineering, and writes essays on software and careers at swyx.io.
15 April
Co-founder of NVIDIA and, as of 2026, its chief executive; the company designs the GPUs most large AI models are trained on.
From one piece
Jensen Huang – Will Nvidia’s moat persist?
2 beliefs, in the piece's order there
2 April
Co-founder of Ethereum. Publishes long essays on mechanism design, governance and what cryptography is for, and returns to earlier positions to say which parts they no longer hold.
Their words
I was not impressed with the DGX Spark; it's described as an "AI supercomputer on your desk" but in reality it has lower tokens/sec than a good laptop GPU - and on top of that, you have to figure out the networking details of how to connect to it from your actual work device etc.
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vitalik.eth.limo
13 March
Founder and chief analyst of SemiAnalysis; reports on semiconductor supply chains, AI datacentre economics and what the chip export controls actually do.
Their words
So when you look at inference at let's say 100 tokens a second for deepseek and kimk 2.5 hopper versus blackwell the performance difference is on the order of 20x
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youtube.com
26 June 2025
Founding member of OpenAI and former director of AI at Tesla; creator of nanoGPT and the term "vibe coding".
2 January 2025
German web developer, writer and conference speaker. Publishes the Web Weekly newsletter and blogs about the web platform at stefanjudis.com.
1 September 2024
Machine-learning researcher at Cursor working on post-training for coding models; a professor at Harvard and then Cornell from 2016 to 2026, and a researcher at Hugging Face from 2019 to 2024.
27 January 2024
Programmer and author of Modern C++ Design and The D Programming Language; a lead contributor to the D language.
Wondering how to grok this. Cannot write to ‘nvhpc_2023_2311_Linux_x86_64_cuda_12.3.tar.gz’ (Success). Linux Related
4 May 2023
Machine learning engineer working on recommender systems, personalization and information retrieval. Previously worked on LLMs and LLM infrastructure at Mozilla.ai and on ML and recsys at Duo, Tumblr, Automattic and Comcast; wrote the 'What are embeddings?' text and ran the Normconf conference.
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