this is f*cking dangerous
someone just open sourced the entire "LOOP ENGINEERING" framework for free
build a hedge fund printing alpha 24/7 by feeding it into claude code with my article below
bookmark before someone takes it down
this is f*cking dangerous
someone just open sourced the entire "LOOP ENGINEERING" framework for free
build a hedge fund printing alpha 24/7 by feeding it into claude code with my article below
bookmark before someone takes it down
OpenAI Research Scientist just revealed the scaling playbook that makes 99% of current AI architectures obsolete.
36-minutes. free. By MIT PhD & OpenAI dev team.
"What is better in the long term almost necessarily looks worse now."
the macro view for quants it covers:
•why adding custom mathematical structures bottlenecks your model at scale
•the hidden engineering flaw of bidirectional attention in multi-turn chat
•complete architectural breakdown: encoder-decoder vs decoder-only
•why raw compute scaling destroys hyper-specific inductive biases
Watch full video then read article below.
OpenAI Research Scientist just revealed the scaling playbook that makes 99% of current AI architectures obsolete.
36-minutes. free. By MIT PhD & OpenAI dev team.
"What is better in the long term almost necessarily looks worse now."
the macro view for quants it covers:
•why adding custom mathematical structures bottlenecks your model at scale
•the hidden engineering flaw of bidirectional attention in multi-turn chat
•complete architectural breakdown: encoder-decoder vs decoder-only
•why raw compute scaling destroys hyper-specific inductive biases
Watch full video then read article below.
Stanford CS professor just dropped the ultimate framework for building self-learning ai agents.
65-minutes. free. by stanford ai faculty.
"reward hacking - your agent is gonna learn to do exactly what it is that you tell him to do"
here's what they cover:
•solving the credit assignment problem and delayed rewards
•exploration vs exploitation trade-offs in high-stakes domains
•model-based vs model-free system evaluation
•4 foundational pillars of autonomous decision making
Bookmark & watch today. Worth more than any $500 machine learning course.
Stanford CS professor just dropped the ultimate framework for building self-learning ai agents.
65-minutes. free. by stanford ai faculty.
"reward hacking - your agent is gonna learn to do exactly what it is that you tell him to do"
here's what they cover:
•solving the credit assignment problem and delayed rewards
•exploration vs exploitation trade-offs in high-stakes domains
•model-based vs model-free system evaluation
•4 foundational pillars of autonomous decision making
Bookmark & watch today. Worth more than any $500 machine learning course.
this is f*cking dangerous
build hedge fund using "loop engineering" that prints alpha 24/7 (Full Guide)
if I had this a year ago, I would've built my hedge fund in a week instead of a year
bookmark before someone takes it down
this is f*cking dangerous
build hedge fund using "loop engineering" that prints alpha 24/7 (Full Guide)
if I had this a year ago, I would've built my hedge fund in a week instead of a year
bookmark before someone takes it down
A 10bps alpha signal is worthless if execution costs 12bps.
This paper uses reinforcement learning to optimize execution directly from order book dynamics.
The edge isn't finding alpha. It's keeping it.
Bookmark and Read the article about DQN Quant Framework.
A 10bps alpha signal is worthless if execution costs 12bps.
This paper uses reinforcement learning to optimize execution directly from order book dynamics.
The edge isn't finding alpha. It's keeping it.
Bookmark and Read the article about DQN Quant Framework.