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Finally! It is the year of the Linux Desktop! :D


But it is there: If you search for jobs and expose "All filters" there is a filter called "In your network" which filters down exactly to this.


Do you pay for LinkedIn Premium or something?


I do not and the filter is available in the job search page for me as well.


Really?! I still cannot find this in the mobile app or desktop :lolsob:



It's there -- go to the jobs tab, answer the first time questions if they come up, and when you get the job list, click All Filters, and scroll the filter list down (admittedly, pretty far down); there's an "In your network" toggle.


Ah, wild! Yes I see it now! That is really quite buried.

Edit: seems like this is only the "Classic Search", and presumably may disappear once "AI search" is no longer optional?


I still can't find this. The job list is "infinite scroll" for me so there is no bottom. I don't see the word filter anywhere. Is there a URL?


You need to switch back to classic search to see those filters (on mobile at least).


Use the old search


Whats the old search URL?


Not sure but if it asks you to go back to the old search, click that button. Then in the additional flags menu you will find this in your network toggle.


I love how people rediscovers the concept of "third place" (https://en.wikipedia.org/wiki/Third_place). Maybe it is because we got so into technology and COVID that we have started to miss face-to-face human connections.


How do you solve the following problems? 1. Whenever you run a natural language question the result will be the same for the same question? 2. How do you teach an agent/LLM for the datamodel of the application that stores the data in the databases?


1. By having one obvious documented way of answering the questions or accepting that humans would also come to different results.

2. Investing in good data models and documentating the edge cases. Also learning from explicit feedback is powerful.

This helps our customers at getdot.ai get highly reliable results.

The models also got a lot better at making sense of weird and complex data models in the last months.


It always felt like a lottery, if all stars are aligned you can watch it in high resolution


It painfully misses that "there are 5 weeks left" because I have to calculate it. I don't care how much have gone, all I care how much is left!


I have 6 petabytes of parquet where I would need to replace 1 value in each line. Could it handle that?


I also have a usecase for tweaking bits of a parquet file.


yet another hungarian nobel prize winner who managed to get it while left hungary long ago. yet hungarians going to be proud of her. this country such a shame.


I have heard rumours that one of the company, that was aquired by IBM, protested against using IBM Notes. Which I can totally relate.


You are correct on the watt, weight computes but I think the aerodynamic saving is worthless on a gravel race. People are not going that fast on gravel to gain anything from aerodynamical optimisations. You need to keep going at least 40 km/h to have any advancement without up-down movement which is obviously not something that you can achieve on gravel.


Aero also helps at 25 or 30kph.

It is quite easy to check out actually on a road bike. Ride at a steady pace without pushing hard, hands on top, then put your hands in the hoods of the brake lever, elbows at 90° without pushing more, you will gain easily 1kph just by changing position. More if it is windy.


I assume the poster meant aerodynamic optimisation of the bike itself (eg. aero wheels, aero saddle post, etc).

Riding position obviously makes a huge difference.


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