pajop

Made an agent for https://github.com/pageman/sutskever-30-implementations/ - it's in https://github.com/pageman/Sutskever-Agent - give it a try and star it please! :)

try outreachmagic dot io

Merry CHRISTmas HN! Got a super awesome CHRISTmas gift - this Kosmos run is probably saying that I found a "“Parsimonious Multi-Module Multi-Omics Stacked Classifier for Neonatal Hypothermia Neuroprotection” https://platform.edisonscientific.com/kosmos/ef0a71d0-ca4d-4...

Very interesting. Maybe we can chat and explore? DM me on my X.com - it's on my HN about page - copy-paste the HN link here for context :)

can you share the links to your project?

This is so good! I've been looking for a tool that will simulate the "listen to the Spiderman movie 50x" experiment https://www.youtube.com/watch?v=eliB_y0fmSk and this site can do it!

Google NotebookLM Audio Deep Dive on this HN thread: https://jumpshare.com/v/OFPXiOv9KR8pCtSmWlg2

there's an online version: https://www.cuttle.cards/

Are there tutorials available?

Stack Overflow: https://stackoverflow.com/questions/4637764/checksum-for-a-s...

hello @ihid - would love to support Exercism through the Insiders program as your site is great resource for developer education! Is there a way you can provide PPP (Purhasing Power Parity) pricing for people outside of the U.S. and Europe? For example if you use this PPP calculator https://ppp.jackmcdade.com/ and compute PPP pricing for the Philippines, $10/month feels more like $20.88. If you want to recalibrate it, the PPP Pricing would be P4.79. Thanks in advance!

Here you go: https://github.com/quassnoi/explain-extended-2024

Interesting commentary on the video: https://x.com/sumlenny/status/1749870142547255525

What if they revise and re-issue the video based on the comments?

The alternate titles suggested are also interesting:

“ A good wording could be: Почему я обратился в ЦРУ Почему я вышел на ЦРУ Почему я начал работать с ЦРУ Почему я написал ЦРУ Почему я пошел к ЦРУ (not "в ЦРУ", as the latter is for cadets who start their work for the agency) or even Почему я выбрал ЦРУ”

From Google translate:

“ A good wording could be: Why I turned to the CIA Why did I contact the CIA? Why I started working with the CIA Why did I write to the CIA Why did I go to the CIA (not ‘to the CIA’, as the latter is for cadets who start their work for the agency) or even Why I chose the CIA”

from the paper: https://arxiv.org/pdf/2310.08659.pdf

"LoftQ aims to solve the problem of the discrepancy between the quantized and full-precision model in the context of quantization and LoRA fine-tuning for Large Language Models (LLMs). By simultaneously quantizing an LLM and finding a proper low-rank initialization for LoRA fine-tuning, LoftQ significantly enhances generalization in downstream tasks."

Bard: https://bard.google.com/chat/31e0a3bb74b29b3b

"Based on the abstract, LoftQ aims to solve the performance gap observed when applying both quantization and LoRA fine-tuning to a pre-trained Large Language Model (LLM).

Here's a breakdown of the problem and LoftQ's approach:

Problem:

Quantization: Reduces the precision of model weights to save memory and computation, but can lower accuracy. LoRA fine-tuning: Improves accuracy on specific tasks by adding a low-rank adapter, but can struggle with quantized models. Combined approach: Applying both quantization and LoRA fine-tuning often leads to a performance gap compared to full fine-tuning. LoftQ's solution:

Simultaneous quantization and LoRA initialization: LoftQ proposes a novel framework that quantizes the LLM while also finding a suitable low-rank initialization for LoRA. This helps bridge the gap between the quantized and full-precision model. Improved generalization: This approach improves the model's ability to generalize well on downstream tasks, especially in challenging memory-constrained settings. Evaluation and results:

LoftQ is tested on various NLP tasks like question answering and summarization. It outperforms existing quantization methods, particularly in low-precision scenarios like 2-bit and 2/4-bit mixed precision. Overall, LoftQ tackles the challenge of combining quantization and LoRA fine-tuning for LLMs, leading to better performance and efficiency, especially in resource-limited environments."

see also: https://duostories.org/tok-en

Didn’t Someone solve 1LLL already?

https://www.iflscience.com/the-full-1lll-a-rubiks-cube-holy-...

https://www.reddit.com/r/Cubers/comments/whuhkq/i_learned_fu...

I used these search terms "reflect no code" and the first hit was https://reflect.run :)

https://www.google.com/search?q=reflect+no+code

BTCPayServer supports other coins aside from Bitcoin btw:

https://docs.btcpayserver.org/FAQ/Altcoin/

https://docs.btcpayserver.org/Development/Altcoins/#how-can-...

Check out https://practicum.substack.com and also this Twitter thread of futurist sites https://threader.app/thread/1296654041569570819

Farnam Street's 109 Mental Models https://fs.blog/mental-models/

plot twist: Linus actually merged it! :)

https://lkml.org/lkml/2018/6/5/774

same as @eropple - will reach out! :)

https://github.com/konamacona/cardproxy

if you're behind a paywall: http://archive.is/pMV4U

Saw this table from Crypto Voices the other day - basically you buy $1 worth of BTC every day: https://twitter.com/crypto_voices/status/926808236950306816

Archived version: http://archive.is/2EhFW

Finished it! :) https://scontent.xx.fbcdn.net/v/t35.0-0/p480x480/17237216_10...

there's a vaccine developed for this already: https://www.journals.elsevier.com/vaccine/news/new-vaccine-c...

In the Philippines, Uber accepts cash. It has the options UberX, Uber Black, UberPool and UberHop (point-to-point)

In the comments: http://netflixhiddencodes.com