I recently added tags to my blog using BERTopic and a mix of LLMs. You can see the tags in the sidebar to the right (or in the footer on mobile). I’ve done this before in 2023, with GGUF Mistral using llama-cpp,...
I had an interesting discussion recently. Someone asked me, what is intelligence? I said, the ability to achieve your goals across a wide range of domains. Okay, he says, then by that definition isn’t Donald Trump...
Wrote up some flashcards here to help myself retain all the stuff below.On why pretraining runs failsHad an interesting chat with someone on why pretraining runs often fail. It was very interesting to get a sense of all...
I’m writing up some threads that we explored in my interview with Michael Nielson. That episode was one of my favorites.The organizing question from my interview with Michael Nielson was, “How do we...
After a short family break, I am excited to be back and catching up on a busy few weeks of open-weight LLM releases. The thing that stood out to me is how much newer architectures are focused on long-context...
Am I working?Am I working, or am I wasting time? Working, surely. Because it’s what people do for work. Because if it works, there is money to be made. There is a business to be built. Every piece of software...
Eric Jang walks through how to build AlphaGo from scratch, but with modern AI tools.Sometimes you understand the future better by stepping backward. AlphaGo is still the cleanest worked example of the primitives of...
Hi, fellow future and current Data Leaders; Ben here 👋As a consultant, I get to work with dozens of data teams a year. One of the benefits of doing so is that I get a good sense of the problems data leaders are...
AI News for Decision-Makers and OddballsContinue reading on Medium »
Insights from a session I hosted at the 2026 AI Agents Conference in NYC.There’s a moment every team building agents eventually hits. Something breaks within the agent output. That might be a wrong recommendation, a...
If you are a bold entrepreneur who wants to change the world with ambitious artificial intelligence technologies, how should you do that? Two answers seem obvious:Build ambitious artificial intelligence...
In the early days of cloud, companies raced to migrate workloads before they’d figured out how to monitor them. Move fast and instrument later was the operating model at the time. Unfortunately, these organizations...
In the agentic era, leadership means designing what your machines notice, optimize, and repeatContinue reading on Data Science Collective »
Context as infra, taste as config, verification for autonomy, scale via delegation, closing the loop.
From a conversation with a smart friend,1 a fun theory:To do AI, you need a bunch of very fancy computers. However, because lots of people want to do lots of AI, there is a shortage of these computers. In a few years,...
30 AI news stories from April 2026, ranked from boardroom to bizarreContinue reading on Medium »
I did a fireside chat at Sequoia Ascent 2026. The YouTube video is here: YouTube Video Link As an experiment, I fed an LLM all of my recent blog posts and tweets, then I had it read this video's transcript and produce...
Hi, fellow future and current Data Leaders; Ben here 👋After putting together the data pipeline foundations piece last week I realized there was another topic I really wanted to cover.That is, the silent ways...
71% say they’re actively preparing. Only 29% have a documented definition of what that means.Earlier this year, Monte Carlo partnered with CDO Magazine to survey senior data and AI executives, primarily at large...
Moving from “what should I recall?” to “what should I notice?” and other challenges in building a proactive multi-agent systemMemories in the context of a lineage graph. Image provided by the authors.Co-authored with...