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Nathan Lambert
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Open models recap: more on Kimi K3, Qwen 3.8, Xi's WAIC speech, distillation, the open-closed gap, and what's next
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15 September
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).
Some food for thought when designing benchmarks... So, here's a little computer-use (visual) comparison between GPT-5.6 Astra and Qwen3.8 Max. The task here was to recreate the image in the center using the Paint UI. Super interesting how the two different LLMs+Harnesses approached this totally differently by default. I.e., Astra tried to approach this by drawing and layering geometric shapes. Qwen approached this pixel by pixel. (Of course, the pixel-by-pixel result looks closer to the original, it's essentially a low-res version of that by nature.) So, the Qwen-generated image would surely… LLMs OpenAI Related
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
10 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.
omfg Qwen, GLM, Kimi, DeepSeek looks like they are all just claude Quoting @AnthropicAI We're publishing our most detailed threat intelligence report to date. It covers how people tried to misuse Claude—for cyberattacks, influence operations, surveillance, biology, and building weapons—and how we found and stopped them. We disrupted every operation in the report, and used the lessons… Anthropic Related
1 September
Co-founder and CEO of 37signals, makers of Basecamp and HEY; co-author of Rework, Remote and It Does Not Have to Be Crazy at Work.
We just spent a morning in Chicago with a bunch of our customers. Woodworkers, music biz folks, publishers, educators, logistics pros, product designers, painters, medical device makers... Some who've been using Basecamp for more than a decade (and even one who's first day on Basecamp was THAT DAY!). Such a broad collection of folks! Here's a fun, one minute video recap. 😍 Related
27 June
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).
12 March
Swiss full-stack developer working mostly with Laravel and Vue; author of the widely used git-auto-commit-action GitHub Action.
Just published my Laracon EU 2026 recap. Lots of great talks this year — highlights for me were Dan Harrin on abstractions, Peter Suhm on unblocking users with AI, and Shane Rosenthal showing NativePHP rendering actual native iOS and Android elements. Also a good reminder to finally look more seriously at PostgreSQL. https://stefanzweifel.dev/posts/2026/03/12/laracon-eu-2026-recap/ #LaraconEU Related
1 January
Writer and researcher on China, technology and industry; author of Breakneck, research fellow at Stanford, known for a widely read annual letter.
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1913: The Year Before the Storm presents a whimsical slice of Central Europe. Art historian Florian Illies collates fragments of leading figures month by month, diary-entry style.
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7 May 2025
Member of technical staff at Anthropic. He has led ML/AI teams at Amazon, Alibaba and Lazada, and writes about LLMs, recommender systems and engineering at eugeneyan.com.
To better understand MCPs and agentic workflows, I built news-agents to generate a daily news recap. The main agent spawns sub-agents, assigning them news feeds to parse and summarize, and then generates a final overall summary plus analysis. eugeneyan.com
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15 January 2025
Writer on the intersection of technology and finance. Author of the Bits about Money newsletter and host of the Complex Systems podcast; previously at Stripe.
16 June 2024
Professor at Carnegie Mellon working on self-driving-car safety; writes Safe Autonomy on how autonomous vehicles are and are not shown to be safe.
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A korrent is a belief a person has stated in their own words: one
sentence stating the claim, backed by a quote and a source, kept at
korrents.com .
Under a name here, the quoted block is what they actually said.
The korrent beneath it is the claim those words support, in
korrents' wording — tap it to see the record, its source, and who
else holds it.
Nobody here wrote their own korrents. They are compiled from public
statements, and a person can change their mind, which is recorded too.
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About the English under a post
Some people here publish in a language other than English. Where they
do, this site shows a machine translation beneath the post, in
this typeface — the site's own, not theirs.
The post itself is never changed, moved or hidden: what is set in the
serif above is exactly what the person published, and it is what to
quote them on. A translation can be wrong in ways that matter,
especially about tone.
Only the post's own words are translated. A quoted post, a linked
article and a belief on korrents.com
are left in their original language.
Got it