Thanks

I tried Mistral Nemo 12B instruct this morning. It’s actually quite good. I’d say it’s close to dolphin mistral 8x7B which is a monster in size and very smart, about 45 or 50GB. So I’d say Arli is a good deal Mistral Nemo 12B for 4 or $5 per month and privacy so they claim.

If you don’t mind logging for some questions, you can get access to very good or if not the best models at lmsys.org without monetary cost. Just go to the “Arena”. This is where you contribute with your blind evaluation by voting which of two is better. I often get models like 4o and sonnet 3.5 by Anthropic, google’s best, etc., and at other times many good 70B models. You see two answers at once and vote your favorite between the two. In return, you get “free” access.

Be careful with AMD GPUs as they are not as well supported for local AI. However, support is gaining ground. Some people are doing it but it takes effort and hassle, from what I’ve read.

I know that people are using P40 and P100 GPUs. These are outdated but still work with some software stacks / applications. The P40 GPU, once very cheap for the amount of VRAM, is no longer as cheap as it was probably because folks have been picking them up for inference.

I’m getting a lot done with an NVidia GTX 1080 which only has 8GB VRAM. I can run a quant of dolphin Mixtral 7x8B and it works well enough. It takes minutes to load, almost too long for me, but after that I get 3-5 TPS with some acceptable delay between questions.

I can even run Miqu quants at 2 or 3 bits. It’s super smart even at these low quant levels.

llama 3.1 8B runs great with this 1080 8BG GPU at 4_K_M and also 5 or 6_K_M. I believe I can run gemma 9B f16 at 8 bpw.

I installed it in Linux and it’s headed for a live environment.

Starling looks good so far.

One improvement I’d recommend is to make links visible. They are currently the same color as general text in the chat, black by default. I’d recommend blue.

Interactive Brokers is also my next choice. Although, beware that you have to install Java runtime from Oracle in order to be able to log in to they servers. Java runtime environment has seen many beaches of security in the past, particularly the Internet was still in adolescence. Oracle claims to have solved those but this needs to be verified.

I’m waiting for Schwab mainly because, as it turns out, there is magic there. Namely, our assets are protected from online fraud. I’m sure there are limits to that protection. And that protection has applied to their normal online accounts. Will it apply to API accounts? We will have to reread the fine print when it’s final.

Yes but I’ve read that Schwab will have its own API. I read that within the last two months. I’ve also been told as much by a rep, with disclaimers of course. That was a year ago.

Either way, I expect schwab to have an API. Why else buy TD?

I understood that TDA accounts with API would continue to work. Did yours stop working?

I delayed moving an account to TDA with API because I wanted to wait for the first to settle.

The community can only read the source code, as of yet. All of the source code has been provided by a set of internal developers.

The fact that it is open source means that, if somehow two malware elements have made it into the source code, then someone will eventually report it. But this doesn’t mean that two malware elements cannot be there right now.

These two malware hits on total virus scan should be communicated to the developers.

Locally, an attacker still needs to know your password. A strong password can make it too expensive or impractical to brute force.

Filen.io

Works well so far, is end to end encrypted, open source, and the apps are nice and solid.

Works great for me. I’m running mx23 after running mx19 for a few years.

I hope mx23 is better with updates, or making easier to update, as updates broke in mx19 not long after I first installed it. My only complaint. Otherwise great.

Checking out !main@soccer.forum I saw very few posts by bots. Mainly saw posts by you. I saw one post coming from alien.top .

What’s interesting is that only posts by bots have any comments. So maybe this could be a good way to get communities started.

Therefore, if it’s okay with the admins at the following community, I’d nominate !tennis@lemmy.world

There’s almost nothing happening there.

Yes

Did you check with the admins on lemmy first or are you bot posting without permission?

Take the free ones. Ignore the discounted ones, don’t buy them.

There is too much concentration in your livelihood when you invest in your employer. For example, and I know too many examples of this, if your employer starts doing badly, you can not only lose your job, but they might move out of town leaving your home in a state where you may need to sell it in a depressed market. Often the shares you would have invested in the company are worth too little to sell. Your assets, your job, your home, all take a hit at the same crazy time. Not worth it.

Instead, invest in broad-market index funds. Go to Bogleheads where they discuss this and ask there. If you like momentum, arguably the greatest investor that has ever lived, Warren Buffett recommends a split between 90% SPY or IVV (S&P500) and 10% cash. The S&P500 is something like a momentum fund of the top winners of the US economy, and constantly changing.

Your employer is only trying to tie you down and have real skin in the game so that you’ll work harder. Ignore the tendency.

Best of luck.

Let’s say I have a favorite sport and there exists a sub_ named: r/.

Let’s also say there already exits a Lemmy community and that community is struggling to get off the ground: !@lemmy.world

I can see a value add if your project directly helps !@lemmy.world get started; but I don’t see how it does. If anything wouldn’t your project compete with !@lemmy.world and therefore hinder it?

It might be different if your project directly tied r/ to !@lemmy.world but it doesn’t.

If downvotes are the issue, beehaw.org doesn’t allow downvotes. Those folks are automatically eliminated from that. You can then just ignore the comments you don’t like and it’s all good. 👍

I’m not an expert but I feel for you and will try my TLDR.

They did a study of almost 300 people. They split these into two groups, some with long COVID and some without.

They then tried to determine if those with long COVID had a signature in their antibodies. That’s what “immuno phenotyping” means … finding a unique pattern in antibody types and responses.

They did indeed find those signatures or patterns. Specifically, people with long COVID had more of specific types of antibodies and faster antibody responses to COVID and other viruses like Epstein Barr.

These differences between these two groups might help to identify and diagnose long COVID.

Further study is recommended (edit: almost all papers end with this recommendation)

Another example

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