Who's Who of AI

Al Merose

86 trust researcher @al.merose.com · 3,810 followers
AI research
Why they matter

Researcher with public evidence across AI research.

AI signals
4
past 30d
Sources
3
distinct domains
Discusiones
5
past 30d
Latest signal
4d ago
View every signal from Al Merose →
Differential database administrator. Machine learning for climate & weather. Ex-Google Research, Founding Member of Technical Staff @OpenAthena.ai. He/him.
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Articles & links

Sneak peek: I implemented a 3 layer MLP that predicts the fashion MNIST dataset using SQL (with my own autograd impl inside the database). Apparently einsum notation is better expressed as a JOIN. github.com/xqlsystems/x...

xarray-sql/benchmarks/nn.py at claude/xarray-sql-mnist-demo · xqlsystems/xarray-sql github.com
AI Weekly's analysis →
  • The benchmark trains a 784→196→32→10 MLP on Fashion-MNIST with forward pass, backpropagation, and SGD all expressed as SQL queries.
  • A SKIP_ZERO_PIXELS flag drops background pixels via a WHERE clause and delivers roughly a 1.8x speedup on Fashion-MNIST.
  • Hyperparameters are demo-scale: 500 training samples, 200 test samples, learning rate 0.5, 60 steps, chunk size 250.
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View on Bluesky · ♥ 55 ↻ 5 ↩ 2 · 2 from the directory shared this · 63d ago

All of our code is open source, and contributions are welcome: github.com/m2lines/Samu... We're working on fitting our model training into a (free-tier) colab notebook, so anyone can help advance climate science: github.com/m2lines/Samu...

GitHub - m2lines/Samudra github.com
View on Bluesky · ♥ 2 ↻ 0 ↩ 1 · 61d ago

I'd like to announce that at @openathena.ai, @jder.bsky.social and I helped @m2lines.bsky.social release Samudra 2. We scaled this neural ocean emulator to train on 16x the size of data in bytes on the same hardware budget. We can now skillfully predict 8 years of the ocean on…

medium.com
View on Bluesky · ♥ 56 ↻ 6 ↩ 2 · 61d ago
↻ Al Merose reposted
@openathena.ai

A year ago, Marin had one FTE. Recently, the ten-person team launched a 535 billion parameter MoE model. In the Marin 535B-A23B launch note, David Hall @dlwh.bsky.social notes it's going "almost boringly well." Thank you to our colleagues, partners, and advisors for making thi…

Marin 535B-A23B launch note openathena.ai View on Bluesky →
↻ Al Merose reposted
@openathena.ai

A year ago, Marin had one FTE. Recently, the ten-person team launched a 535 billion parameter MoE model. In the Marin 535B-A23B launch note, David Hall @dlwh.bsky.social notes it's going "almost boringly well." Thank you to our colleagues, partners, and advisors for making thi…

Marin 535B-A23B launch note openathena.ai View on Bluesky →
Their own posts

Recent commentary

Rust is ideal for agentic programming because large compile times give you an opportunity to think and reflect

View on Bluesky · ♥ 9 ↻ 2 ↩ 0 · 71d ago

I’m happy to be working on open source science and language models because the biggest safety risks of AI, imo, stem from concentrations of power — in corporations, governments, and their intersection.

View on Bluesky · ♥ 6 ↻ 1 ↩ 0 · 77d ago

People think AI is the solution to: “this statement is false” when actually, AI is the solution to “everything in moderation, including moderation.”

View on Bluesky · ♥ 0 ↻ 0 ↩ 1 · 77d ago
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