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Joined 1 year ago
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Cake day: September 5th, 2023

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  • The thing is; now it doesn’t matter if your job has been done properly by AI or not, what matters is that it’s just cheaper. And when all companies jump on this bandwagon of enshittification for profit it becomes the standard. This already happened with customer support. It’s nearly impossible to get a human when you call for support. All customers hate it, make their life harder. But still all companies do it and with no alternative you just have to accept it. From what I see, the adoption to AI happens in two ways: either you want to make your human driven processes better by utilizing AI or for cheaper with AI but with ‘passable’ quality. And it looks like companies are mostly in the second camp. So I don’t think besides some exceptional cases and industries the quality of work will be a determining factor.




  • I worked in both small and big companies.

    That “micromanaging CEO” can also happen in big companies as your skip-manager doing that. So, being in a big company isn’t a safe bet against it.

    I would say there are more pros than cons in working for a small company. Especially if you’re at the beginning of your career.

    What you should make absolutely clear is that what you’ll be working on i.e. products & technologies.

    Pros:

    • You may learn a lot of things. Not only on the tech side but also about how to deal with people, how a project is managed, how business is translated into tech.
    • It’s easier to be seen and heard. You see a problem with a business initiative, you can convince the managers and change it to avoid a certain disaster. Your achievements will be recognized more.
    • Less bureaucracy. Big companies move very slowly. Also with your career development. You will have to jump through many many loops to just get a pay raise as much as the inflation. In small companies salary adjustments and promotions are much faster.
    • You may rise up quite fast. With the allure of big companies stealing talent from small companies there may be many opportunities to grow into different roles in the company.
    • Small companies need to retain their employees more than the big companies. It’s an expensive and time consuming process to hire. So a smart small company will try their best to retain its employees. If the financials of that company are good it means you will have better job security.
    • Less playing politics. In big companies there are a lot of times you have to play politics against other teams to get something done. That’s tedious and time consuming. You may see the work you spent so much time on to be “postponed” to another quarter just because some other team “wasn’t ready yet”.
    • In big companies there are a LOT of legacy, badly written, big riddled, failing code present. Most likely you will have to maintain code like that alongside new code. In small companies it’s less likely to encounter very bad legacy stuff.

    Cons:

    • If there’s a micromanaging CEO (especially without tech experience) this may drive you crazy. The same applies for an incompetent direct manager.
    • It may be unbearable if you don’t “vibe” with the people. Especially if they are rude or insulting. In big companies how people shall interact with each other is defined and enforced. May not be the case in a small company.
    • The salary may be lower than what you’ll get in a big company. But if you’re early in your career that shouldn’t be the most important point.
    • After 2 - 3 years most likely you’ll learn everything in the company and it won’t feel challenging. Then you’ll need to change jobs as the things you can learn at a small company are limited to what they are using anyway.
    • There will be a lot of focus shifts and last minute changes. Things will (almost) never go according to the plan. What you have been working on may be shelved due to changes in business requirements.
    • Related to the previous point you may need to work overtime.








  • For me:

    • Awesome stickers with very good custom sticker support.
    • You can use a nickname to chat, you don’t need to share your GSM number with anyone which was an incredibly stupid idea in the first place. On that account , better privacy than Signal or ShitsApp.
    • You can use simultaneously on multiple web AND mobile devices.
    • You don’t lose your chat history when you login from another mobile device like in ShitsApp.
    • Stores your media server-side. So you always have your full chat with all the media in it. Of course this requires care about what you share with other.
    • Forwarding messages between chats has a lot of flexibility.
    • Message editing. Which ShitsApp finally copied. 🤣
    • Constantly improved. They are always adding more features.
    • The channel support is really good…

  • First of all, it’s very common for a woman to say they like tall guys. Just like most guys would say they like girls with big breasts. But at the end of the day no one can get their ideal person. It’s either looks or personality. Everyone has to compromise.

    But if your crush is obsessed with height then she’s a dispecable human being who doesn’t deserve anyone’s attention or love. If it’s any consolation there are a lot of tall fuck boys that will use and dump those kind of height obsessed women. And those guys will only pick the best of the best for romantic partners. All other women will be devoid of happiness and forever keep on searching. So scratch all women like that off your list!!

    Now, you mentioned money to get attention of women. Although that would work to some extent, most of the attention you’d get would be from gold diggers. They are experts of manipulation and gaslighting, they would take all your money and will leave you in a worse mental situation than before. And no, it’s not that easy to spot a golddigger. Again, they are experts in their craft.

    But there are some things you can do:

    • As others mentioned, grooming and looking your best. I won’t go into depth here.
    • Being funny. Women really are more inclined to like a guy that makes them laugh. The trick is to find the right amount of funny. You shouldn’t be a clown. Smart and a bit of sarcastic goes a long way. If you can also be able to make fun of yourself (a healthy amount) that will also show confidence. And confidence is always a winning feat.
    • Success / Passion. One of the reasons (besides golddiggers) that women like men with money is that it’s a form of being successful. Be passionate about something and try to be good at it. Creative endeavors like art and music will attract a lot of attention. Make you more interesting. Yes, that won’t help out with all women but quite a sizeable amount of women. Also keep in mind that to some level everyone likes to show off their partners. A tall but boring accountant wouldn’t be as good as a partner than a short king who creates art, puts up exhibitions, being passionate about his subject, fun to talk to.


  • Surely. AI is definitely a factor. But at the same time it’s a fad right now. It’s what Blockchain was a few years ago. Everyone is trying to jump into the AI bandwagon as it’s the new cool hip thing. Sadly unlike Blockchain this is getting people fired instead of getting hired.

    Even though AI creates remarkable results I don’t think it’s as mature enough as companies really think it’s to be. They are kinda gambling on that it will be able to cover the human work force before the effects of layoffs are felt by the customers.

    On that account I think the number one issue is about the cost, uninformed companies think that what they are paying today is the real cost of AI. But in reality all AI offerings are actually burning money to lure customers, to make them get rid of their workforce to get them really dependent on their AI. And when they achieve enough dependency the prices will increase, then the companies will see the real cost of AI. Basically the exact same thing that happened with Streaming Services.

    Another downside that people will notice after great adoption of AI may be that the variations of the results will start to look the same. If all of us use the same AI tool, giving similar prompts for our Ad campaign then most likely our Ad campaigns will look very similar, beating the most important necessity of an Ad campaign; recognition. To beat that AI should be used as a tool by capable people to ease their job and not to do their entire job.

    I think it will take a few years for companies to really realize that.