My hope, and my belief, is that the switch to greener options has started and might not be easily stopped. EUs fit for 55 is a big deal and on the transportation side we see electrics making inroads in the market in a rather big way. Gas prices has plummeted and since production hasn’t gone up, it’s just demand side left.

On the construction side if things green heating options has diversified, come down in price and with local low temperature heat storage solutions might be even cheaper and less power hungry.

The only fly in the ointment is that we need to describe it as “increasing resilience”, “cutting cost” and “decreasing dependency on over seas deliveries”. As long as nobody mention “the inveronment” as the reason to do something.

There must be. Recall and info sec is mutually excluding by definition!

1. Ai, which lacks morality by definition, is as capable in morals as it is describing smells. As for that human data the question quickly becomes which data? As expressed in literature, social media or un politics? And also which century? It’s enough to compare today with pre-millenia conditions to see how widely it differs.

As for 2. You assume that there is an objective reality free from emotion? There might be, but I am unsure if it can be perceived by anything living. Or AI, for that matter. It is after all, like you said, trained on human data.

Anyways, time will tell if Openai is correct in their assessment, or if humans will want the human touch. As a tool for trained professionals to use, sure. As a substitute for one? I’m not convinced yet.

I disagree with your first statement. Law is about the application of rules, not the rules themselves. In a perfect world, it would be about determining which law has precedence in matter at hand, a task in itself outside of AI capabilities as it involves weighing moral and ethical principles against eachother, but in reality it often comes down to why my interpretation of reality is the correct one.

I’m just in the beginning, but my plan is to use it to evaluate policy docs. There is so much context to keep up with, so any way to load more context into the analysis will be helpful. Learning how to add excel information in the analysis will also be a big step forward.

I will have to check out Mistral:) So far Qwen2.5 14B has been the best at providing analysis of my test scenario. But i guess an even higher parameter model will have its advantages.

And exactly why are they missing? Who stole what at Microsoft?

Thank you! Very useful. I am, again, surprised how a better way of asking questions affects the answers almost as much as using a better model.

This is expected. Oil prize has been on the decline for some time. I didn’t expect demand to erode this fast, though. which I guess is kinda a good thing.

The only way forward is for renewables to become even cheaper that fossils. Which can be done. The EUs fit-for-55 will bring down energy prizes. Summertime we will see really low electricity prizes the comming decade in Europe because of this.

But per the definition given involving negative mass, it should be “meassurable mass in the presence of exotic matter”. Anywho…

I need to look into flash attention! And if i understand you correctly a larger model of llama3.1 would be better prepared to handle a larger context window than a smaller llama3.1 model?

Thanks! I actually picked up the concept of context window, and from there how to create a modelfile, through one of the links provided earlier and it has made a huge difference. In your experience, would a small model like llama3.2 with a bigger context window be able to provide the same output as a big modem L, like qwen2.5:14b, with a more limited window? The bigger window obviously allow more data to be taken into account, but how does the model size compare?

Thank you for your detailed answer:) it’s 20 years and 2 kids since I last tried my hand at reading code, but I’m doing my best to catch up😊 Context window is a concept I picked up from your links which has provided me much help!

The problem I keep running into with that approach is that only the last page is actually summarised and some of the texts are… Longer.

Do you know of any nifty resources on how to create RAGs using ollama/webui? (Or even fine-tuning?). I’ve tried to set it up, but the documents provided doesn’t seem to be analysed properly.

I’m trying to get the LLM into reading/summarising a certain type of (wordy) files, and it seems the query prompt is limited to about 6k characters.

I couldnt disagree more with you. If there are pedestrians nearby you drive slow and keep your distance regardless of where you drive.

The same goes for pedestrians, though. Don’t walk where it’s not safe, for everyones safety. Like the interstate. It’s a shared responsibility.

This, however, is in the middle of a neighborhood where a ball and a kid could come flying at moments notice…

You are on to the issue yourself. First and foremost we need to stop releasing CO2. That in and of itself is not enough, but the most important bit. Some countries (a lot?) has enough tree cover to offset a huge chunk of their CO2 emissions today by trees. Some might even be CO2 neutral, had it not been for the use of wood for fuel. Therein lies the potential. And this is already a mature industry with market dependencies well established.

Resembling this CO2 uptake with man made processes will require a monumental investment in both monetary and energy terms and the output will be pitiful when the net effect is calculated.

So slamming the effect of trees, which does not require any of that development and investment costs because it doesn’t solve the entire problem, because it isn’t a silver bullet is rather short sighted. It is already today the best tool we have to sequester carbon from the atmosphere for cheap and with a comoditiezed biproduct.

What’s wrong with trees? They cost next to nothing and runs on renewable energy.

For me it’s the opposite. My body may be on the premises, but mentally…

Well, that’s been the basis for some other products. AMD and Intel comes to mind😊 They both have IP the other need and historically Intel has been the dominant one, but now the tables have turned somewhat.

Well, even 84% sunshine transmitted is still rather shiny and is more than what is available at night.