Because operating a search engine is expensive. I personally use Kagi and love it, but that's $10/month for unlimited searches.

Just want to add, people are also not putting much content online in the way they used to. Between the want to monetise (which leads to ad-filled SEO sits or YouTube channels), or the dopamine-hit of getting likes, content is getting harder to find as well (the latter tends to be in walled gardens that search engines don't get to index).

Perplexity AI has been awesome for me so far, I think someone will take over searches with the current state of the internet. I'm sick and tired of only finding ad filled sites with non-answers on Google.

What happened to DuckDuckGo?

they can keep my 42 cents and just stop their shit

Monetary donations help a ton. Even a few bucks. I always pay for FOSS projects I enjoy and use.

If someone wants to host something, NAT won't stop them. IMO the bigger problem is that most folks have neither time, skill, nor interest to make p2p a reality. I'm a pretty savvy admin, host a lot of services for myself and family, but I don't pretend to be good enough or vigilant enough to run anything public, i.e. mail server, lemmy server, etc, without major security concerns.

It'd be stupid easy for assholes to hack or swat you if that was implemented though.

Part of it is the war between security and privacy vs open architecture. The moment you leave your car unlocked some creep will rob you.

and let anyone host anything

That's how they'll spin the legislation to ban it:

Pedophiles and terrorists use that service!

Side note -- I wanted to use 'X' instead as a variable above, but Musk ruined that.

Reposting from PeepinGoodArgs@reddthat.com in Technology@beehaw.org

Here’s an AI outline because this was actually a good talk:

How Platforms Die
    The speaker introduces the concept of platform decay or “enshittification” and how it leads to the death of internet platforms.
        He defines platforms as firms like Uber, Amazon, and Facebook that connect users and business customers.
    He outlines a 3-stage process called enshittification where platforms:
        Are initially good to users
        Abuse users to benefit business customers
        Eventually abuse business customers to only benefit shareholders
    This results in the platform becoming a “pile of shit” that dies.

Facebook Case Study
    He uses Facebook as a case study of enshittification’s 3 stages:
        Initially attracted users by promising privacy protections and custom feeds
        Then broke promises and sold user data to advertisers and flooded feeds with publisher content
        Finally, reduced value to users and fees for publishers to extract all value for shareholders
            This led to an angry user base and brittle equilibrium

Causes of Enshittification
    Lack of Competition
        Weak antitrust enforcement has allowed consolidation across industries
        Companies can use predatory pricing to undercut competitors
        Mergers eliminate competition
            Example: Google relying on acquisitions rather than in-house innovation
    Unrestricted “Backend Tweaking”
        Tech platforms control the algorithms and systems behind their products
        They can arbitrarily change these to alter user experiences
            e.g. Facebook reducing visibility of publisher content in feeds
        Done without transparency, oversight or accountability
    Bans on Reverse Engineering
        Laws like DMCA 1201 and CFAA criminalize circumventing DRM and terms of service
        Makes it illegal to reverse engineer platforms to enable interoperability
        Tech companies use IP laws to prevent modding and adversarial interoperability
            e.g. Apple using IP laws to prevent iOS modding

Solutions
    Strengthen Antitrust Enforcement
        Block anti-competitive mergers
        Break up existing tech giants
    Pass Privacy, Labor and Consumer Protection Laws
        Comprehensive federal privacy laws with private right of action
        End worker misclassification through gig economy
        Apply consumer protection standards to platforms
    Allow Adversarial Interoperability
        Roll back laws criminalizing modding, reverse engineering
        Use government procurement to incentivize open ecosystems
        Appoint special masters to oversee platform legal threats
    Keep Interoperators in Check
        Bind interoperators to the same privacy, fair trading and labor laws
        Determined through democratic process vs corporate policy

Conclusion
    We need to prepare and spread these policy ideas to capitalize on the next crisis
    Efforts are underway to enable a better internet through this approach