John Berryman
@JnBrymn
AI/LLM consulting @ https://arcturus-labs.com Author x2: https://amzn.to/3TXmDHk, https://amzn.to/3zKIxGG Formerly Eventbrite, GitHub (code search and Copilot)
こちらアメリカでは、ここ1か月ほど「コンテキスト・エンジニアリング」という考え方が大きな話題になっています。そんな中、Albert Zieglerとの共著第2弾『LLMのコンテキスト・エンジニアリング』を出版できたことを嬉しく思います。

Here are some examples of how people's thoughts are shaping around context engineering vs prompt engineering: This is where much of the ideas started: "Everything is context engineering. LLMs are stateless functions that turn inputs into outputs. To get the best outputs, you…
In light of all the attention that context engineering is getting, today I proudly introduce the second book that Albert Ziegler and I have written together: Context Engineering for LLM Applications.
Oh! I like the term "Vibe Scraping" (ref @simonw 's simonwillison.net/2025/Jul/17/vi…). The idea: show your vibe coding tools a pattern that you want to copy, and then apply the pattern elsewhere like a "Recipe". That's what I was getting at with this blog post arcturus-labs.com/blog/ –…

@JnBrymn I'm all up in your website shortening your damn links with tny.dev
Works as advertised tny.dev/0neDzW
I built an API-first link shortener for agents. Because I was tired of paying @Bitly $40/month for 3 damn links and spend all my time in @claude_code. Meet tny.dev 🎥 Video demo below 👇
Works as advertised tny.dev/fQytqx
I built an API-first link shortener for agents. Because I was tired of paying @Bitly $40/month for 3 damn links and spend all my time in @claude_code. Meet tny.dev 🎥 Video demo below 👇
Replete with Easter Eggs! This is awesome 😂
I built an API-first link shortener for agents. Because I was tired of paying @Bitly $40/month for 3 damn links and spend all my time in @claude_code. Meet tny.dev 🎥 Video demo below 👇
Whoa! This looks like a real service. Can I sign up for this? How on earth did you build this @gregce10?
I built an API-first link shortener for agents. Because I was tired of paying @Bitly $40/month for 3 damn links and spend all my time in @claude_code. Meet tny.dev 🎥 Video demo below 👇
Amazing. Surprising. Take model A, FT it to love owls and call the new model B. Make B generate sequences of random numbers, use the sequences to FT A into a new model C. Then ask C what its favorite animal is. It will say owls. Even though it only saw numbers from B, C learned…
Do any of the available AI observability platforms provide the ability for me to vibe code my UI on _their_ site? I would love to look at traces in some way that is digestible and appropriate for _my_ domain. - If I'm making an agent that lives in an email client, then traces…
Just setting this down here in case anyone wants to look whitehouse.gov/wp-content/upl…
Oh! I've been waiting for this one for a while from a frontier model developers.googleblog.com/en/conversatio… Using a conversational model you can get bounding boxes around objects in an image. "The person holding an umbrella", "the 3rd book from the left". That's going to be useful!
This is the start of a neat direction for @QuotientAI. In offline evals and online sampling, you can use this to get easy insights into the health of your tool calling. I wonder if in the future something like this could even be used for quick tool corrections in the online app.
today we're releasing a new small model (0.5B) for detecting problems with tool usage in agents, trained on 50M tokens from publicly available MCP server tools it's great at picking up on tool accuracy issues and outperforms larger models
このマスキングテープ、どんな塗りになるのかワクワクしてます!(x.com/GOROman/status…)
また塗り絵しなきゃ
What if two AI models could collaborate without knowing it? Our Head of AI, Albert Ziegler developed "model alloys" - alternating between different LLMs in a single conversation. Sonnet handles some steps, Gemini others, but neither knows about the switch. Result: 55% solve…
confession: i really, really like occasionally pulling all-nighters for work-related or learning or reading-a-book sorts of reasons, and think that the energy an all-nighter brings is unique and irreplaceable
I was thinking about using an LLM agent as a replacement for a future Voyager Golden Disk: en.wikipedia.org/wiki/Voyager_G… It's a fun thought experiment: How would you build an agent for interfacing with an intelligence that certainly doesn't know English, and might even have an…
MIT Technology Review wrote about my dystopian backup plan USB stick