Jsho

@Jshor
18 Followers
79 Following
253 Posts
Long-time-hot-bean-water-selling iOS app coder
I want to make the point that Zohran Mamdani talked about affordability while also supporting trans kids and immigrants and refusing to endorse genocide and he won against the heavily favored Democrat despite an avalanche of racist, Islamophobic hatred and zillions in dark money. Candidates can do all these things and win. It's just the Democratic Party is full of sellouts, cowards, and bigots.

A friend is building an app to help immigrants detained by ICE.

It's a web app currently, but is intended to be a mobile app.

Anyone have experience building and deploying mobile apps and interested in volunteering time to help a new app with a good cause?

Feel free to share with others or boost for reach.

Editing to link to the current repository:
https://github.com/habeas-project/habeas

DM me for a Signal username you can use or contact the email at the bottom of the README file.

#AndroidDev #iOSdev

GitHub - habeas-project/habeas

Contribute to habeas-project/habeas development by creating an account on GitHub.

GitHub

I like this idea.

#ICE #immigrants

Also, it's expensive and hard to be one of the only places left not normalizing ICE, valorizing warmongering, or generally kissing the ring of a mad despot.

Subscribing to The Onion helps us do stuff like this.

membership.theonion.com
@schwa @inthehands I am also curious how much the expiration of the R&D credit in 2022 has had on the job market. It definitely helped fuel the massive tech layoffs.

New study on the effects of LLM use (in this case on essay writing):

https://arxiv.org/abs/2506.08872

Quote:

"LLM users also struggled to accurately quote their own work. While LLMs offer immediate convenience, our findings highlight potential cognitive costs. Over four months, LLM users consistently underperformed at neural, linguistic, and behavioral levels. These results raise concerns about the long-term educational implications of LLM reliance and underscore the need for deeper inquiry into AI's role in learning."

The interesting thing is: People who used search engines (to find sources etc) did not show similar issues. This is an important antidote against the belief that LLM-based tools are just like search engines. Which they are not. They are massively degrading their users' mental abilities and development. Which is why these systems have absolutely no place even _near_ any school or university.

https://hails.org/@hailey/114691651497761523

Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task

This study explores the neural and behavioral consequences of LLM-assisted essay writing. Participants were divided into three groups: LLM, Search Engine, and Brain-only (no tools). Each completed three sessions under the same condition. In a fourth session, LLM users were reassigned to Brain-only group (LLM-to-Brain), and Brain-only users were reassigned to LLM condition (Brain-to-LLM). A total of 54 participants took part in Sessions 1-3, with 18 completing session 4. We used electroencephalography (EEG) to assess cognitive load during essay writing, and analyzed essays using NLP, as well as scoring essays with the help from human teachers and an AI judge. Across groups, NERs, n-gram patterns, and topic ontology showed within-group homogeneity. EEG revealed significant differences in brain connectivity: Brain-only participants exhibited the strongest, most distributed networks; Search Engine users showed moderate engagement; and LLM users displayed the weakest connectivity. Cognitive activity scaled down in relation to external tool use. In session 4, LLM-to-Brain participants showed reduced alpha and beta connectivity, indicating under-engagement. Brain-to-LLM users exhibited higher memory recall and activation of occipito-parietal and prefrontal areas, similar to Search Engine users. Self-reported ownership of essays was the lowest in the LLM group and the highest in the Brain-only group. LLM users also struggled to accurately quote their own work. While LLMs offer immediate convenience, our findings highlight potential cognitive costs. Over four months, LLM users consistently underperformed at neural, linguistic, and behavioral levels. These results raise concerns about the long-term educational implications of LLM reliance and underscore the need for deeper inquiry into AI's role in learning.

arXiv.org

And I get that putting on WWDC is a huge effort that everyone at Apple is happy to have in the rear view mirror.

(Sleep! Vacation!)

With the online format, there's no need to have sessions and labs happen contemporaneously.

What if labs happened a month after the sessions were posted?

I think we'd all benefit.

@superbetsy watch out for the melon bloat!
https://qz.com/tech-layoffs-tax-code-trump-section-174-microsoft-meta-1851783502 this article is wild. It puts the tech layoffs in a whole different light.
Tech Layoffs Tax Code Trump Section 174 Microsoft Meta - Quartz

A decades-old tax rule helped build America's tech economy. A quiet change under Trump helped dismantle it

Quartz