How Ramp built an AI agent that can think outside of tokens | Alex Shevchenko
Alexander Shevchenko is the head of applied research at Ramp, where he leads Ramp Labs – the team behind Ramp Sheets and a steady stream of public AI engineering experiments. Ramp Sheets started as an internal process mining tool that turned Loom videos of accountants into Markov diagrams, before e…
Real Estate Due Diligence: How to Protect Your Capital Before Investing in a Deal
In this episode, Alex Zhang shares his journey from construction to real estate investing, emphasizing the importance of vetting deals and people, and explaining passive investment strategies in real estate development.
Professional Real Estate Investors - How we can help you:
Investor Fuel Ma…
Building 0 to 1 AI Products at Nooks (with Alex Zhang)
Join me in conversation with Alex Zhang, Nooks' first PM and now Group PM.
Nooks is an AI platform building the agent workspace for GTM teams, backed by Kleiner Perkins and Lachy Groom. Alex joined as employee ~50 and is now a group PM, driving many of Nooks 0 to 1 product bets.
Timestamps:
00:0…
Computer Science at UBC
Discover the ins and outs of studying Computer Science at UBC!
In this video, Alex Zhang shares his first-year experiences, from choosing UBC to navigating the workload and student life.
Key takeaways:
Why Alex chose UBC over other universities
Insights into the Computer Science curriculum
Tips…
Ep. 85 | Fund Investing 101: What Nobody Tells You Before Investing $100k feat. Alex Zhang
Curious about private equity, syndications, or investment funds—but not sure where to start?
In this episode, I sit down with fund manager Alex Zhang to break down the world of private funds in plain English. We cover how funds work, how fund managers get paid, what realistic returns actually look…
Recursive Language Models with Alex Zhang - Weaviate Podcast #142!
Alex Zhang, a PhD student at MIT, joins the Weaviate Podcast to discuss Recursive Language Models (RLMs), a new abstraction for designing agent harnesses. Instead of the standard ReAct-style loop that stuffs every tool observation into an ever-growing prompt, an RLM treats the prompt as a variable …
Academia is for Ambition — Alex Zhang, MIT
Last call for regular tickets for AI Engineer NYC! As an exclusive for Latent Space subscribers, the first 30 of you can take a 30% off code if it helps - for new tickets only, no refunds! See you in 2 weeks!
While we tend to cover industry on the pod, every so often we celebrate a clearly emerging…
SUMO Weekly: 3 October 2026
About this episode
An independently researched digest of worthwhile A.I. developments from the week.
How this episode was made
SUMO is researched and created with the help of ChatGPT. Ben, our real human in the loop, sets the editorial direction.
Sources
Sean Parker is rebuilding Stability AI arou…
RLMs are Compositional Generalizers with Alex Zhang from MIT
this discussion I had with alex earlier this year re-shaped a lot how I’m seeing these new breed of frontier models that are specialist at coding + multi-agent + long running.
the concepts of compositional generalization and sub tasks being locally in-distribution makes it very very obvious why LLM…
$40 Million for One Answer: Inside OpenAI's 10,000-Agent Swarm
DESCRIPTION
Alex Zhang is a PhD student at MIT, and his Recursive Language Models give a model a Python notebook in place of a giant prompt: it writes code to read your documents and calls copies of itself on the pieces. This is the most ASI-pilled half hour of his conversation with swyx on the Lat…
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