Plus, it is installed on top of the normal kobo operating system via NickelMenu, so it's not really messing up with anything.
260 karma · joined January 1, 2017
Plus, it is installed on top of the normal kobo operating system via NickelMenu, so it's not really messing up with anything.
Anyhow, it's not even the feedback the problem, it is that I have enough work experience to understand some of those startups seem to operate on a thin line between what is a technical assignment related directly to their core tech and getting free consultancy. The least they could provide to candidates who have involved time is what was expected.
1) There are so much BS jobs in BS companies it's hard to understand if those are even companies doing real thing (cf. David Graeber)
2) 80% of jobs in my field are about LLMs and technology no one understand or in companies that don't even know if they need it but are just following the trend
3) I've seen big and small companies posting over and over the same job ad. For example a big consulting group has been posting the exact same job for more than a year (really) on linkedin and elsewhere - each time there are more than 100+ applicants on linkedin.
4) Recruiters from 'serious' agencies told me it was the worst job market they know of
5) There is also a rise of fake recruitement agencies, it's very easy and quick to set up a page on Linkedin now with fake workers, fake images, fake jobs, etc.
6) The supply demand imbalance allows some small companies (startups) to ask for insane technical assignement that takes hours, which at the end looked like free consultancy. I had one that did not even provide feedback after a rejection, and when asked said "because we don't"
7) The increase of centralised platform such as Linkedin has increased competition. Everyone is applying to the same jobs, and many candidates uses AI to beat the HR platform. [This has been reported by FT - https://www.ft.com/content/1429fcb2-e0ef-4e47-b2b8-8bd225ac2... ]. Same problem as in the online dating market.
8) There is so much ghosting, that can happen at any stage of the process. Again, same problem as in the online dating market.
So four citizenships? It's getting hard not look at this as dodgy.
Ahah, that sounds crazy/extreme, thanks for mentioning
It's nice to see a link to some experiment/research about this process that seems positive - https://www.nber.org/system/files/working_papers/w22487/w224...
As it's been noticed here, surely monks were not distracted by the same technology and at the same scale we are distracted to in today's world. When I came back to the "real world" from this experience, I could realise how much one life's was just constantly distracted.
I am really grateful to open source developers spending time doing this, be it LineageOS, CalyxOS, microG, Aurora, F-droid or all the open source apps on F-Droid. It's also interesting to see how Google is now departing from the native open source Android, making its own version optimized for the Pixel phones (and only releasing their flagship app like Camera for the Pixel) and locking you in with a Google account like Apple is doing!
I see this happening especially when people get in and out of intimate relationships. I think it's just life...
* Phone hardware alternatives to mainstream brands
* Fairphone 4 [NL]
* Librem 5 from Purism [US]
* Pinephone from Pine64 [China]
* FXTec [UK]
* Volla [DE]
* Linux-based OS * PostmarketOS - "postmarketOS extends Alpine Linux to run on smartphones and other mobile devices. [See compatible devices: https://wiki.postmarketos.org/wiki/Devices]
* Mobian
* Manjaro ARM
* Maemo Leste
* Pure OS [US] (purism)
* Sailfish OS [FI]
* Others - mostly android-based alternatives * Ubuntu Touch "Ubuntu Touch is not based on the "mainline" Linux kernel, but rather on the "downstream" (that is, highly patched) Android kernel that came with it originally, with an abstraction layer, halium, to adapt Android drivers and userspace to Linux systems. "
* /e/ foundation [FR]
* Lineage OS
* GrapheneOS
* LuneOS
* Nemo Mobile
* CalyxOS
edit: updated according to comments1. Biological. He says "Yes, biology matters, but surprisingly not as much as you would think, that when we look at what’s termed genetic variance, how much do genes play a role in depression? Is there a depression gene? No. Are there genes that make people vulnerable to depression? Definitely. So if we look at biochemistry, yes it’s a factor. If we look at disease processes, there are many diseases where depression is a predictable consequence. If we look at drugs, there are many drugs that have depression as a predictable side effect. Biology matters, but when we look at genetic variance, that figure is between .3 and .4. That represents a mild, moderate at best, genetic influence."
2. Psychological. In particular what is known as "Attributional/Explanatory style" (https://en.wikipedia.org/wiki/Explanatory_style), i.e. the person's habitual or reflexive way of attaching meaning to life events. He says "It isn't what happens to people that increases their risk for depression so much as how they interpret and respond to what happens to them."
3. Social
At the end, he says "the goal is not to cure depression, the goal is to learn how to manage your mood. You don't exercise once and now you're done with the exercise thing."
So far the list I have to explore is:
* Thich Nhat Hanh and https://plumvillage.org
* Joseph Goldstein
* Sharon Salzberg
* Apps (though I am a bit reluctant): Ten Percent Happier, Headspace
I worked on it a bit at some point, it does work pretty well assuming you don't move that much and the light isn't too bad. As you can imagine, it's more difficult to estimate on non-white faces, particularly very dark skin tones. All the algorithms (at least until 2016) differ in the way of combining the RGB signals into a pulse signal by making different assumptions.
If you are interested more, Philips in the Netherlands are particularly active in this research domain, one of the main application being non-contact pulse estimation in hospitals for example.
[1] https://en.wikipedia.org/wiki/Julian_Assange#Extradition_hea... [2] https://www.bbc.co.uk/news/world-europe-47765974
https://blogs.mathworks.com/steve/2006/10/17/the-story-behin...
For anyone interested in research in deep learning with a python-numpy like environment, I can only recommend to switch.