Blog Cohere
Cohere Research Blog
One of my favorite AI research labs with excelent resources to learn AI at all levels. See their research papers if you want to go deeper.
Resources
The AI papers, tools, and writing I keep going back to.
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- Blog Hamel Husain
Hamel Husain
To my Eyes, the AI Evals GOAT. Hands-on, opinionated pieces on LLM evals, fine-tuning, and shipping real AI products. Heavy on what actually works in practice.
- Resource Ramp
Ramp Economics Lab
Ramp's economics lab turns real-time card spend from thousands of businesses into hard data on where money and AI adoption are actually going. Because it's drawn from real transactions rather than surveys, their AI Index and Spend Share Index are among the most current, ground-truth reads on the economy out there, cited by Bloomberg, the WSJ, and CNBC.
- Blog Braintrust
Braintrust Blog
On evaluating and iterating on AI products: useful for anyone trying to measure whether their LLM app is actually getting better.
- Blog Langfuse
Langfuse Blog
The Langfuse team on LLM observability, tracing, and evals: practical reading if you're putting LLM apps into production.
- Blog Chip Huyen
Chip Huyen
Some of the clearest writing on ML systems and AI engineering: production-grade and low on hype. Her books are a natural next step.
- Blog Anthropic
Anthropic Research
Anthropic's research hub: interpretability, alignment, and safety work alongside the model releases. Strong on the "why," not just the "what."
- Blog OpenAI
OpenAI Research
OpenAI's research releases and publications, straight from the source. Good for tracking where frontier model capabilities are heading.
- Blog Nate's Newsletter
Nate's Newsletter
A newsletter on AI, product, and strategy: digestible takes on where the field is heading and what it means for builders.
- Blog Eugene Yan
Eugene Yan
Applied ML and LLM systems explained with a practitioner's eye: recsys, evals, and design patterns you can put to use.
- Blog Daniel Miessler
Daniel Miessler
Writing at the intersection of AI, security, and human meaning. Big-picture takes plus practical tooling; his newsletter is a regular read.