Sublime
An inspiration engine for ideas
This Stanford professor literally shows how to build AI startups 10x faster
https://t.co/bsiuhR36hk
Aadit Shethx.com
>>> Qwen3-Coder is here! ✅
We’re releasing Qwen3-Coder-480B-A35B-Instruct, our most powerful open agentic code model to date. This 480B-parameter Mixture-of-Experts model (35B active) natively supports 256K context and scales to 1M context with extrapolation. It achieves top-tier performance across multiple agentic... See more
BREAKING: AI has eaten the Internet. Data labeling is so over. & $30 trillion of human work is on the verge of automation.
Inside The $2.2B AI Research Accelerator, Turing
Founder & CEO, Jonathan Siddharth (@jonsidd), joins Sourcery to break down the severe power shift in AI training: from... See more
Molly O’Sheax.comThe trending role in AI startups isn't AI engineers—it's Forward Deployed Engineers (FDEs). Several top AI companies I know are hiring FDEs en masse. This role is now surpassing "PM" as the coveted position for technical generalists.
What's an FDE? They're software engineers who work directly with customers to implement... See more
Michelle Limx.comAI has its PhD and now it’s on the job market.
Introducing the AI Productivity Index (APEX), a benchmark that measures how well we’ve automated the most valuable industries in the world.
Most benchmarks study abstract capabilities. APEX evaluates model performance on real deliverables across... See more
Brendan (can/do)x.com
I'M BLOWN AWAY.
Andrej Karpathy just explained Software 3.0 at YC.
BIG IDEAS: English is coding. AI is electricity. And, build for LLMs, not just people.
Key takeaways: https://t.co/PMn7StW3Vj
1/ Meta deployed an AI powered software engineer like Devin at scale
This is the future of software engineering as proved by its 73% success rate
For the past 3 months, DeepUnit has been working in stealth building our implementation of their recent paper. We have thoughts:... See more
A few months ago, we published
Attribution-based parameter decomposition -- a method for decomposing a network's parameters for interpretability.
But it was janky and didn't scale.
Today, we published a new, better algorithm called... See more