Interconnects

Interconnects

Home
Podcast
Navigation
($) Discord
Archive
About
Ilya on deep learning in 2015
On vision and how to understand deep learning.
 • 
Nathan Lambert
Latest open artifacts (#11): Visualizing China's open models market share, Arcee's models, and VLAs for robotics
Artifacts Log 11.
 • 
Nathan Lambert
 and 
Florian Brand
Some ideas for what comes next
As releases slow down, it's time to think about what we got this year and where we are going. o3's search, agent vs model progress, and scaling's…
 • 
Nathan Lambert
2
What I've been reading (#1)
Splitting the links out from the artifacts log models & datasets series.
 • 
Nathan Lambert
4
Crafting a good (reasoning) model
A recent talk I gave on model training, reasoning, and the next frontier.
 • 
Nathan Lambert
30:25
The rise of reasoning machines
And a debate that doesn't warrant repeating.
 • 
Nathan Lambert
What comes next with reinforcement learning
Scaling RL, sparse rewards, continual learning, and the progress wall when pretraining really stops.
 • 
Nathan Lambert
2
How I Write
Therein how I think, how AI impacts it, and how writing reflects upon AI progress.
 • 
Nathan Lambert
4
A taxonomy for next-generation reasoning models
Where we've been and where we're going with RLVR.
 • 
Nathan Lambert
3

May 2025

Latest open artifacts (#10): New DeepSeek R1 0528!, more permissive licenses, everything as a reasoner, and from artifacts to agents
Artifacts Log 10.
 • 
Nathan Lambert
 and 
Florian Brand
Reinforcement learning with random rewards actually works with Qwen 2.5
Making sense of research casting doubt on the potential of RLVR and where I'm optimistic for the next phase of scaling.
 • 
Nathan Lambert
Claude 4 and Anthropic's bet on code
Reasons to be optimistic and pessimistic on Anthropic's future.
 • 
Nathan Lambert
© 2025 Interconnects AI, LLC
Privacy ∙ Terms ∙ Collection notice
Start writingGet the app
Substack is the home for great culture