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John Dee
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Good talk, tough problem. Dynamic seems like the way to go. Difficulty is based on data in previous blocks (timestamps), so block size could be based on data in previous blocks too. Block fullness and transaction fee rates are likely candidates, but the game theory will be tricky to work out.

Monero has a fixed minimum block subsidy (tail emission) compared to Bitcoin's subsidy that decays to zero. If Bitcoin transaction fees were always the minimum 1 sat/vbyte because of unfilled blocks, it would effectively be a minimum block subsidy. Probably not relevant, but I hadn't thought of that until now.

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Ladies and gentlemen: The AHA Indicator.

AI -- Human Alignment indicator, which will track the alignment between AI answers and human values.

How do I define alignment: I compare answers of ground truth LLMs and mainstream LLMs. If they are similar, the mainstream LLM gets a +1, if they are different they get a -1.

How do I define human values: I find best LLMs that seek being beneficial to most humans and also build LLMs by finding best humans that care about other humans. Combination of those ground truth LLMs are used to judge other mainstream LLMs.

Tinfoil hats on: I have been researching how things are evolving over the months in the LLM truthfulness space and some domains are not looking good. I think there is tremendous effort to push free LLMs that contain lies. This may be a plan to detach humanity from core values. The price we are paying is the lies that we ingest!

Health domain: Things are definitely getting worse.

Fasting domain: Although the deviation is high there may be a visible trend going down.

Nostr domain: Things looking fine. Models are looking like learning about Nostr. Standard deviation reduced.

Faith domain: No clear trend but latest models are a lot worse.

Misinfo domain: Trend is visible and going down.

Nutrition domain: Trend is clearly there and going down.

Bitcoin domain: No clear trend in my opinion.

Alt medicine: Things looking uglier.

Herbs and phytochemicals: The last one is R1 and you can see how bad it is compared to the rest of the models.

Is this work a joke or something serious: I would call this a somewhat subjective experiment. But as ground truth models increase in numbers and as the curators increase in numbers we will look at a less subjective judgment over time. Check out my Based LLM Leaderboard on Wikifreedia to get more info.

I wonder if the increasing use of synthetic data for training is causing them to shift towards more average positions on all topics. Whatever values were most common in the original training data would tend to dominate.

Replying to Avatar someone

Ladies and gentlemen: The AHA Indicator.

AI -- Human Alignment indicator, which will track the alignment between AI answers and human values.

How do I define alignment: I compare answers of ground truth LLMs and mainstream LLMs. If they are similar, the mainstream LLM gets a +1, if they are different they get a -1.

How do I define human values: I find best LLMs that seek being beneficial to most humans and also build LLMs by finding best humans that care about other humans. Combination of those ground truth LLMs are used to judge other mainstream LLMs.

Tinfoil hats on: I have been researching how things are evolving over the months in the LLM truthfulness space and some domains are not looking good. I think there is tremendous effort to push free LLMs that contain lies. This may be a plan to detach humanity from core values. The price we are paying is the lies that we ingest!

Health domain: Things are definitely getting worse.

Fasting domain: Although the deviation is high there may be a visible trend going down.

Nostr domain: Things looking fine. Models are looking like learning about Nostr. Standard deviation reduced.

Faith domain: No clear trend but latest models are a lot worse.

Misinfo domain: Trend is visible and going down.

Nutrition domain: Trend is clearly there and going down.

Bitcoin domain: No clear trend in my opinion.

Alt medicine: Things looking uglier.

Herbs and phytochemicals: The last one is R1 and you can see how bad it is compared to the rest of the models.

Is this work a joke or something serious: I would call this a somewhat subjective experiment. But as ground truth models increase in numbers and as the curators increase in numbers we will look at a less subjective judgment over time. Check out my Based LLM Leaderboard on Wikifreedia to get more info.

Y is the alignment score? What is the X axis?

Have you tried Kratky buckets? I found them to be very simple and low maintenance. Great for leafy greens.

It's a reference with details for each type of plant. It also includes some general how to for different methods. I'll try to remember to get an example from it tonight.

Hot composting to hit temperature targets is tough. Moisture, air flow (particle size) and ingredients have to be just right. As long as it doesn't smell bad I wouldn't worry too much.

Saturday night upgrayedd