publicdaniel

7 ms·

1.
by publicdaniel 7mo ago
This reminds me of the latest Ken Stanley paper on representations. “Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis“ https://arxiv.org/abs/2505.11581
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by publicdaniel 1y ago
Don’t forget about DNS over HTTPS which bypasses PiHole
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by publicdaniel 1y ago
Did you see their recent paper building on this? Throwback to Picbreeder! https://x.com/kenneth0stanley/status/1924650124829196370
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by publicdaniel 1y ago
- https://scale.com/blog/synthetic-data-fine-tuning-llms - https://eugeneyan.com/writing/recsys-llm/ - https://cookbook.openai.com/examples/sdg1
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by publicdaniel 1y ago
I’m currently working on a document parsing engine for a specific type of document. The inputs are usually PDFs. I’m able to get great structured output from both the latest Gemini Flash models and the latest Llama Scout models. The best la
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by publicdaniel 1y ago
It’s really useful for generating synthetic data for search and recommendations that you can use to train a smaller / faster model. This is especially useful if you don’t have lots of click-through data or with cold start scenarios. Th
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by publicdaniel 1y ago
Here's my really amateur understanding of this: - Conventional SGD: Fixed target (e.g. "make an exact replica of this butterfly image") and it follows greedy path to minimize the error - Open Ended Search Process: No predeter
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Questioning Representational Optimism in Deep Learning(arxiv.org)
1 points by publicdaniel 1y ago|3 comments
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by publicdaniel 1y ago
From the author's tweet ( https://x.com/kenneth0stanley/status/1924650124829196370 ) Could a major opportunity to improve representation in deep learning be hiding in plain sight? Check out our new position pap
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Language Learning with AI Tools
3 points by publicdaniel 2y ago|1 comments
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Core Principles for Productivity(daniel.pub)
17 points by publicdaniel 2y ago|0 comments
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by publicdaniel 2y ago
For anyone interested in NEAT, you’ll likely enjoy Ken’s later work on novelty search, open-endedness, etc. His book “Why Greatness Cannot be Planned: The Myth of the Objectives” is one of the most perspective altering works I have ever rea
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by publicdaniel 2y ago
One downside of rolling it into an IRA is that you'll pay more in taxes to do backdoor roth IRA conversions every year. I think it's better to leave it in 401k if the fund options / fees are acceptable.
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by publicdaniel 2y ago
All my software
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by publicdaniel 3y ago
@Jeremy, have you ever encountered Ken Stanley’s book “Why Greatness Cannot be Planned: The Myth of the Objective”? If you’re not familiar with him, he was the guy that invented the NEAT algorithm, Novelty Search, etc. In his book he talks
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by publicdaniel 4y ago
Why Greatness Cannot Be Planned: The Myth of the Objective by Ken Stanley and Joel Lehman. This book was a fascinating read for anyone with ambitious objectives (or an interest in optimization algorithms). Ken is such a deep thinker, I love
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by publicdaniel 4y ago
It’s not an unpopular opinion on HackerNews .
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by publicdaniel 4y ago
Allegis Global Solutions | Remote (US and Europe) | Full Time | https://www.allegisglobalsolutions.com/ Allegis Global Solutions is the biggest recruiting company in North America. I'm on an internal team that builds s
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by publicdaniel 4y ago
This is what I do, it has worked great for me. The only annoying thing is I can’t get tab completing to work in my shell (ZSH). Something about the alias I think.
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by publicdaniel 4y ago
I am so grateful the FastAI team exists. It wasn't until I discovered their "Machine Learning for Coders" course that I really started to grok ML. I was in grad school trying to pivot my career from finance to data science. I
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by publicdaniel 5y ago
I work as a machine learning engineer on search & recommender systems, mostly focused on relevancy ranking in the recruiting space. It's unbelievable the pressure I have encountered to give "diverse" candidates a boost ac
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by publicdaniel 5y ago
This is one of the funniest things I've read all week, bravo