hedgehog

Why should we know this?

Not watching that video for a number of reasons, namely that ten seconds in they hadn’t said anything of substance, their first claim was incorrect (Amazon does not prohibit use of gen ai in books, nor do they require its use be disclosed to the public, no matter how much you might wish it did), and there was nothing in the description of substance, which in instances like this generally means the video will largely be devoid of substance.

What books is the Math Sorcerer selling? Are they the ones on Amazon linked from their page? Are they selling all of those or just promoting most of them?

Why do we think they were generated with AI?

When you say “generated with AI,” what do you mean?

• Generated entirely with AI, without even editing? Then why do they have so many 5 star reviews?
• Generated with AI and then heavily edited?
• Written partly by hand with some pieces written by unedited GenAI?
• Written partly by hand with some pieces written by edited GenAI?
• AI was used for ideation?
• AI was used during editing? E.g., Grammarly?
• GenAI was used during editing?E.g., “ChatGPT, review this chapter and give me any feedback. If sections need rewritten go ahead and take a first pass.”
• AI might have been used, but we don’t know for sure, and the issue is that some passages just “read like AI?”

And what’s the result? Are the books misleading in some way? That’s the most legitimate actual concern I can think of (I’m sure the people screaming that AI isn’t fair use would disagree, but if that’s the concern, settle it in court).

Look up “LLM quantization.” The idea is that each parameter is a number; by default they use 16 bits of precision, but if you scale them into smaller sizes, you use less space and have less precision, but you still have the same parameters. There’s not much quality loss going from 16 bits to 8, but it gets more noticeable as you get lower and lower. (That said, there’s are ternary bit models being trained from scratch that use 1.58 bits per parameter and are allegedly just as good as fp16 models of the same parameter count.)

If you’re using a 4-bit quantization, then you need about half that number in VRAM. Q4_K_M is better than Q4, but also a bit larger. Ollama generally defaults to Q4_K_M. If you can handle a higher quantization, Q6_K is generally best. If you can’t quite fit it, Q5_K_M is generally better than any other option, followed by Q5_K_S.

For example, Llama3.3 70B, which has 70.6 billion parameters, has the following sizes for some of its quantizations:

• q4_K_M (the default): 43 GB
• fp16: 141 GB
• q8: 75 GB
• q6_K: 58 GB
• q5_k_m: 50 GB
• q4: 40 GB
• q3_K_M: 34 GB
• q2_K: 26 GB

This is why I run a lot of Q4_K_M 70B models on two 3090s.

Generally speaking, there’s not a perceptible quality drop going to Q6_K from 8 bit quantization (though I have heard this is less true with MoE models). Below Q6, there’s a bit of a drop between it and 5 and then 4, but the model’s still decent. Below 4-bit quantizations you can generally get better results from a smaller parameter model at a higher quantization.

TheBloke on Huggingface has a lot of GGUF quantization repos, and most, if not all of them, have a blurb about the different quantization types and which are recommended. When Ollama.com doesn’t have a model I want, I’m generally able to find one there.

You said, and I quote "Find a better way." I don't agree with your premise - this is the better way - but I gave you a straightforward, reasonable way to achieve something important to you... and now you're saying that "This is a discussion of principle."

You've just proven that it doesn't take a moderator to turn a conversation into a bad joke - you can do it on your own.

It’s a discussion of principle.

This is a foreign concept?

It appears to be a foreign concept for you.

I don’t believe that it’s a fundamentally bad thing to converse in moderated spaces; you do. You say "giving somebody the power to arbitrarily censor and modify our conversation is a fundamentally bad thing" like it’s a fact, indicating you believe this, but you’ve been given the tools to avoid giving others the power to moderate your conversation and you have chosen not to use them. This means that you are saying “I have chosen to do a thing that I believe is fundamentally bad.” Why would anyone trust such a person?

For that matter, is this even a discussion? People clearly don’t agree with you and you haven’t explained your reasoning. If a moderator’s actions are logged and visible to users, and users have the choice of engaging under the purview of a moderator or moving elsewhere, what's the problem?

It is deeply bad that...

Why?

Yes, I know, trolls, etc..

In other words, "let me ignore valid arguments for why moderation is needed."

But such action turns any conversation into a bad joke.

It doesn't.

And anybody who trusts a moderator is a fool.

In places where moderator's actions are unlogged and they're not accountable to the community, sure - and that's true on mainstream social media. Here, moderators are performing a service for the benefit of the community.

Have you never heard the phrase "Trust, but verify?"

Find a better way.

This is the better way.

Then why are you doing that, and why aren’t you at least hosting your own instance?

Yes, I know, trolls etc. But such action turns any conversation into a bad joke. And anybody who trusts a moderator is a fool.

Not just trolls - there’s much worse content out there, some of which can get you sent to jail in most (all?) jurisdictions.

And even ignoring that, many users like their communities to remain focused on a given topic. Moderation allows this to happen without requiring a vetting process prior to posting. Maybe you don’t want that, but most users do.

Find a better way.

Here’s an option: you can code a fork or client that automatically parses the modlog, finds comments and posts that have been removed, and makes them visible in your feed. You could even implement the ability to reply by hosting replies on a different instance or community.

For you and anyone who uses your fork, it’ll be as though they were never removed.

Do you have issues with the above approach?

As a user, you can:

• Review instance and community rules prior to participating
• Review the moderator logs to confirm that moderation activities have been in line with the rules
• If you notice a discrepancy, e.g., over-moderation, you can hold the mods accountable and draw attention to it or simply choose not to engage in that instance or community
• Host your own instance
• Create communities in an existing instance or your own instance

If you host your own instance and communities within that instance, then at that point, you have full control, right? Other instances can de-federate from yours.

I recommend a used 3090, as that has 24 GB of VRAM and generally can be found for $800ish or less (at least when I last checked, in February). It’s much cheaper than a 4090 and while admittedly more expensive than the inexpensive 24GB Nvidia Tesla card (the P40?) it also has much better performance and CUDA support.

I have dual 3090s so my performance won’t translate directly to what a single GPU would get, but it’s pretty easy to find stats on 3090 performance.

That sounds like something someone who's never heard of gerrymandering or voter suppression would say.

From https://www.yalemedicine.org/news/covid-vaccines-reduce-long-covid-risk-new-study-shows

At the pandemic’s onset, approximately 10% of people who suffered COVID-19 infections went on to develop Long COVID. Now, the risk of getting Long COVID has dropped to about 3.5% among vaccinated people (primary series).

...

Then, the team conducted analyses to uncover the reasons for the observed decline in Long COVID cases from the pre-Delta to Omicron eras. About 70% of the decline was attributable to vaccination, they found.

Per OP, the second post is directing to something different. It’s duplicated visually but not an actual duplicate.

To be clear, I’m measuring the relative humidity of the air in the drybox at room temp (72 degrees Fahrenheit / 22 degrees Celsius), not of the filament directly. You can use a hygrometer to do this. I mostly use the hygrometer that comes bundled with my dryboxes (I use the PolyDryer and have several extra PolyDryer Boxes, but there are much cheaper options available) but you can buy a hygrometer for a few bucks or get a bluetooth / wifi / connected one for $15-$20 or so.

If you put filament into a sealed box, it’ll generally - depending on the material - end up in equilibrium with the air. So the measurement you get right away will just show the humidity of the room, but if the filament and desiccant are both dry, it’ll drop; if the desiccant is dry and the filament is wet, it’ll still drop, but not as low.

Note also that what counts as “wet” varies by material. For example, from what I’ve read, PLA can absorb up to 1% or so of its mass as moisture, PETG up to 0.2%, Nylon up to 7-8%… silica gel desiccant beads up to 40%. So when I say they’ll be in equilibrium, I’m referring to the percentage of what that material is capable of absorbing. It isn’t a linear relationship as far as I know, but if it were, that would mean that: if the humidity of the air is 10% and the max moisture the material could retain is 1%, then the material is currently retaining 0.1% moisture by mass. If my room’s humidity is kept at 40%, it’ll absorb moisture until it’s at 0.4% moisture by mass.

That said, this doesn’t measure it perfectly, since while most filament materials absorb moisture from the air when the humidity is higher, they don’t release it as easily. Heating it both allows the air to hold more moisture and allows the filament (and desiccant) to release more moisture.