Abraham Samma

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119 Following
2.6K Posts

Doctor, learner & software developer. Special interest in knowledge tools. Building http://oneplaybook.app, a knowledge assistant tool. Child of three continents 🌍.

I toot about intelligent subjects 📚 all day, and food 😋 and awesome vistas 📸 on occasion.

Comments, corrections and conversations always welcomed 🤗

Github profilehttps://github.com/abesamma
Blog/noteshttps://abesamma.github.io
Twitterhttps://twitter.com/ABSamma
LocationAustralia
The timestamps on tweets seem to be reverting to the beginning of the Unix epoch. #birdsite
For self motivation of the worst kind, hang this in your office so you see it every time you turn your head away from your desktop.

Stackoverflow is laying off 100 employees as LLMs eat into its market. A staggering illustration of how they're being disrupted with their own data. A vast amount of value has been siphoned away from them. #LLMs

Source: https://arxiv.org/abs/2307.07367

Are Large Language Models a Threat to Digital Public Goods? Evidence from Activity on Stack Overflow

Large language models like ChatGPT efficiently provide users with information about various topics, presenting a potential substitute for searching the web and asking people for help online. But since users interact privately with the model, these models may drastically reduce the amount of publicly available human-generated data and knowledge resources. This substitution can present a significant problem in securing training data for future models. In this work, we investigate how the release of ChatGPT changed human-generated open data on the web by analyzing the activity on Stack Overflow, the leading online Q\&A platform for computer programming. We find that relative to its Russian and Chinese counterparts, where access to ChatGPT is limited, and to similar forums for mathematics, where ChatGPT is less capable, activity on Stack Overflow significantly decreased. A difference-in-differences model estimates a 16\% decrease in weekly posts on Stack Overflow. This effect increases in magnitude over time, and is larger for posts related to the most widely used programming languages. Posts made after ChatGPT get similar voting scores than before, suggesting that ChatGPT is not merely displacing duplicate or low-quality content. These results suggest that more users are adopting large language models to answer questions and they are better substitutes for Stack Overflow for languages for which they have more training data. Using models like ChatGPT may be more efficient for solving certain programming problems, but its widespread adoption and the resulting shift away from public exchange on the web will limit the open data people and models can learn from in the future.

arXiv.org
Good docs always make me smile. Translating terms across knowledge domains is essential so people can map what they already know onto your API. #python #fastapi #docs #technicalwriting
I got to pet a wallaby!
Today we celebrated my wife's birthday in style. And with beef. Wagyu beef to be precise. All 500g of it. Highly recommend the Meat and Wine Co.
With their discovery, we can safely introduce foreign vaccinating mRNA that our bodies can accept without destroying by swapping out certain bases without compromising the encoded foreign protein structure that produces the desired immune response. #NobelPrize
Here's a scary thought: is #Trump the Mule from the Foundation novels? #Foundation #scifi 😂
The flowers 🌺 are blooming and the bees 🐝 are buzzin' down under. #Spring
This is a very considerate and thoughtful design feature from Product hunt. Sometimes ratings and upvotes introduce biases in how we review and express interest in products. We tend to vote for what's already popular because we're social animals. Hiding the initial vote numbers gives everyone a more equal chance for consideration by the crowd. #UI