Throw in my 20 and we are almost at AGI boys... Wemade it...
Artificially Generated Income for AI mills..
VC funded companies selling tokens to other VC funded companies funded by the same VC who are funding their competitor companies to buy more tokens with this VC funded money. And then VCs use the graph with line go up to pressure other VCs to invest and pressure other companies to in invest in this VC back scratching 69ing mess...
I have seen numbers from almost 10 VC companies which burn over 1M USD of AI Tokens every year at the current run rate that don't even have 1M in revenues...
What even is this... These are just companies I know.
> an online, interactive learning platform designed to teach STEM subjects—math, science, and computer science—through active problem-solving rather than passive, pre-recorded video lectures
Nebula is an exclusive invite only platform where no creators outside of English mains and hard left ones are present.
I am not on the right to be specific but I speak other languages and would like more non English content as well.
Same for the exclusivity.
Small creators don't exist on either of them.
Ideally we need a video delivery and servicing platform where I can pay like 10 usd per month for my small audience of friends and to view with the convenience of YouTube and good features...
All platforms like these are exclusive for my tastes. I don't sub to any channels with over 100k subs and rest are just programming adjacent content.
But knowing microsoft and looking at the AI commits in F#, (honestly AI could write this stuff faster), I am even willing to accept some bugs if the LSP saw some good improvements regularly.
This is the same issue Haskell has before all the work that went into hls, tbh it's still behind the times but it's on parity with usable tooling.
But man are the F# folks weirdly bad at tooling, fable is good but it's just that nothing in the JS ecosystem even remotely works long term, no ecosystem nor support.
You have to either only use React or hope the library you picked in F# gets ok support somehow, or just vendor it.
For backend F# is much better but only because C# ecosystem offers most libraries you may need. But no one makes F# first/native libraries at all, atleast nothing that keeps being maintained over a longer tail.
If you have worked on a related copyrighted work you can't work on a clean room implementation. You will be sued. There are lots of people who have tried and found out.
They weren't trillion dollar AI companies to bankroll the defense sure. But thinking about clean room and using copyrighted stuff is not even an argument that's just nonsense to try to prove something when no one asked.
If that's what clean room means to you, I do know AI can definitely replace you.
As even ChatGPT is better than that.
(prompt: what does a clean room implementation mean?)
From ChatGPT without login BTW!
> A clean room implementation is a way of building something (usually software) without copying or being influenced by the original implementation, so you avoid copyright or IP issues.
> The core idea is separation.
> Here’s how it usually works:
> The basic setup
> Two teams (or two roles):
> Specification team (the “dirty room”)
> Looks at the original product, code, or behavior
> Documents what it does, not how it does it
> Produces specs, interfaces, test cases, and behavior descriptions
> Implementation team (the “clean room”)
> Never sees the original code
> Only reads the specs
> Writes a brand-new implementation from scratch
> Because the clean team never touches the original code, their work is considered independently created, even if the behavior matches.
Lots of billionaires and millionaires and tech folks seemed to be in there last I heard.
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