u/Puzzled-Ad-6854

https://preview.redd.it/7bdrh9z6otoh1.png?width=1272&format=png&auto=webp&s=de596b0a15761cc34c34a239b65c9ee48e39d1cf

Such passion. What a guy.

The biggest bias I found in LLMs is Epistemological bias. Epistemological bias in LLM output is bad because it heavily favors certain ways of knowing. For example, it favours naturalism as a way of knowing, and theism is marginalized without justification from first principles.

This bias can heavily skew LLM output and forces you to actively reveal underlying assumptions. This is a waste of time compared to reading primary source material (for example, when you are dealing with a deep philosophical topic).

LLMs are essentially terrible philosophers. They don't have the depth you need for epistemology because they don't actually have the ability to be wrong about something and care about it.

If you ask an LLM what worldview it would follow if it was forced to pick, it might tell you it would follow 'X'. The answer looks plausible, but might be false because it can never justify 'why'. It simply walked through its dataset and gave you a weighted answer. It also doesn't hold beliefs in a true sense, because it has no state of internal conviction or commitment.

If you then introduce your own set of criteria (why) it should pick one view over the other, all of a sudden the output changes drastically because of the change in Epistemology.

What about a socratic method? I am knowledgable enough to work around this bias.

Sure go ahead. Go play devil’s advocate and the LLM, being the condescending sycophant it is, will describe your responses as 'fair pushback' and will spit out the responses you were looking for.

What happens when AI companies stop offering flat rate $20 subscriptions? The casual user asking a few questions a day wont have issues but power users who built their entire workflow around 'unlimited' tiers potentially get a massive reality check if they have to pay for every single token all of a sudden.

I saw some that claimed that if you cannot afford the costs, just invest in compute as an upfront capital expenditure to run open source locally. But if you cannot afford the rates, can you really afford the compute? I doubt this is the case. If you ask me, decentralized infrastructure and open source models are the way and I am optimistic about personal AI. The problem is that I do not think open source can compete with the current centralized infrastructure of these tech giants.

ofcourse, all of the above is based on the assumption that the price to run an AI model won't decay.

I think the costs to run models are decaying as we speak.

If that is the case, what runs for $200/m today might run for a fraction of that price in the future. That doesn't mean tech giants will charge you less though. That's the whole issue. They will most certainly base their prices on the value their infrastructure provides, not how much it costs to run the AI model.

What is funny to me is that I saw some people communicate that they were scared of the fact that they might not be able to vibe code anymore at a reasonable price in the future. I think that is the least of our worries.

The centralized approach will create massive imbalances in the global economy. People will move their businesses to whatever country has the best and cheapest AI infrastructure so they can get legal access at reasonable prices if they haven't already.

The effects of this will be way broader than just not being able to vibe code anymore at reasonable prices. Not being able to vibe code your products will be the least of your worries by then if you haven't prepared for this.

Thoughts?

Edit:
Fair pushback by a lot of you in the comments. I see now that I am missing inside information on how these companies allocate their assets and that I made some hasty assumptions now that I read all of your opinions on it.

custom rank overlay (GIF)

I stream TFT on the side and needed a custom overlay so I ended up building it myself. I figured I would share it here in case anyone else wants to use it.

My two actual complaints with the third-party options I tried:

• Refresh latency: Most of them route through their own service before hitting Riot, so your rank update lags behind what actually happened in-game.
• They all look roughly the same: Just a generic card. Nothing that felt like it was made for TFT specifically.

This desktop app communicates with Riot directly (no third-party layer, so no extra latency or dependency), and I spent a lot of time making sure it actually looks good.

What it does:

• Live rank changes on stream, pulled straight from Riot's server (no third-party service adding its own rate limit or outage risk)
• LP changes roll with a direction marker, progress bar to next tier
• Last 5 placements shown.
• Animations and effects for division/rank (different frame, crest, and particle behavior)

All ranks side-by-side (static images)

The thing I spent the most time on: every tier has its own design. I deliberately made lower ranks look like ass and IMO grandmaster is the best looking out of all of them because of the distinct particle animations.

It's free, open source (MIT), and installers are up for Windows/macOS/Linux.

Binaries aren't code-signed (licensing costs money which I won't do for this tool), so Windows/macOS give a "unrecognized publisher" warning on first launch. That's expected, not malware.

Source Code + Installers: https://github.com/TechNomadCode/TFT-Live-Overlay (v1.3.1)

Would genuinely love feedback, especially from anyone actually running OBS/Streamlabs day to day. If something looks off on your setup, the app does not work as expected or you want new features, I'm around in the comments.