We need more tech unions and tech coops.

They will rehire for less. The AI hype is just a wage suppression scheme.

Technofeudalism.

That’s a very European mindset.

WTF man, I just want a fucking browser.

Meanwhile China is going all in on renewables.

Here is a fact: an authoritarian non-democracy is doing a lot for securing the future of humanity, while the “leader of the free world” are vandalizing the climate and accelerating apocalyptic climate catastrophe.

In 2025, China is a net positive for the future of humanity, while the USA is a net negative.

If that makes you uncomfortable about what our political and economic systems in the West that brought us here, well, you know the meme: “facts don’t care about your feelings”.

If you, like me, care about the future of democracy, we have to do a LOT of digging.

Streisand effect: the BBC is telling every last kid that VPN is exactly the way to circumvent the prohibition.

CS education is notoriously prone to boom-bust cycles.

Funny that when it was about protecting profits copyright was such a cornerstone principle but when it’s about protecting profits it can also be set aside.

I propose that the mods should take this post down, or at least point to the original post, that cmu.fr has obviously plagiarized.

Here is what seems to be the original post: https://indiandefencereview.com/theyve-observed-teleworking-for-four-years-and-reached-one-clear-conclusion-working-from-home-makes-us-happier/

The big difference is that the original article actually points to the study: https://pubmed.ncbi.nlm.nih.gov/35379616/ where as the cmu.fr plagiarized version makes no reference whatsoever to the study. Just vague slop about “scientists”.

That said, I think that even the original article miscaracterizes the paper. Here is the paper abstract:

Objectives: To investigate the impacts, on mental and physical health, of a mandatory shift to working from home during the COVID-19 pandemic.

Design: Cross sectional, online survey.

Setting: Online survey was conducted from September 2020 to November 2020 in the general population.

Participants: Australian residents working from home for at least 2 days a week at some time in 2020 during the COVID-19 pandemic.

Main outcome measures: Demographics, caring responsibilities, working from home arrangements, work-related technology, work-family interface, psychosocial and physical working conditions, and reported stress and musculoskeletal pain.

Results: 924 Australians responded to the online questionnaire. Respondents were mostly women (75.5%) based in Victoria (83.7%) and employed in the education and training and healthcare sectors. Approximately 70% of respondents worked five or more days from home, with only 60% having a dedicated workstation in an uninterrupted space. Over 70% of all respondents reported experiencing musculoskeletal pain or discomfort. Gendered differences were observed; men reported higher levels of family to work conflict (3.16±1.52 to 2.94±1.59, p=0.031), and lower levels of recognition for their work (3.75±1.03 to 3.96±1.06, p=0.004), compared with women. For women, stress (2.94±0.92 to 2.66±0.88, p<0.001) and neck/shoulder pain (4.50±2.90 to 3.51±2.84, p<0.001) were higher than men and they also reported more concerns about their job security than men (3.01±1.33 to 2.78±1.40, p=0.043).

Conclusions: Preliminary evidence from the current study suggests that working from home may impact employees’ physical and mental health, and that this impact is likely to be gendered. Although further analysis is required, these data provide insights into further research opportunities needed to assist employers in optimising working from home conditions and reduce the potential negative physical and mental health impacts on their employees.

Keywords: COVID-19; mental health; risk management.

So, long story short: this article is slop, copied from another piece of slop that mischaracterized a study. Overall: meh.

This is useful for dispelling the hype around ChatGPT and for demonstrating the limits of general purpose LLMs.

But that’s about it. This is not a “win” for old school game engines vs new ones. Stockfish uses deep reinforcement learning and is one of the strongest chess engines in the world.

EDIT: what would be actually interesting would be to see if GPT could be fine-tuned to play chess. Which is something many people have been doing: https://scholar.google.com/scholar?hl=en&q=finetune+gpt+chess

A culture that obsoletes electronics every couple of years and enshittifies services every couple of other years cannot be seriously talking about MMIs/BCIs.