MTSkiBum

If the below research is reproducible then that means you don't need gpu's for llm's. How much would that hurt Nvidia's stock? https://arstechnica.com/information-technology/2024/06/researchers-upend-ai-status-quo-by-eliminating-matrix-multiplication-in-llms/

I was a fan of the boys entering this season, but this season is WAY, WAY too political. A little bit of politics would have been all right, but this is turning into a political drama almost every episode. Every major plot line revolves around one political party or person against the other side, even the president verse VP.

Congrats

Best of luck Bunny.

When one team is 53 degrees north and the other team is 25 degrees north it makes it easy to find a team to root for.

Hopefully,

Yes

I fished the black hills a fair but when I lived in Gillette, Wyoming. It was the closest "mountains". I think it is under rated compared to the bighorns, wind river, etc. I want to take my wife/kids, even the caves and optical illusion type tourist traps they have all over the black hills can be fun. Sad, but true. My wife has never heard of wall drug

Whose fault is that

In the black hills?

South Korea, that would be a good idea and it would provide shade. I would bike to work if there was a bike path available and it was shaded. I don't like riding motorcycles in major metro areas, there is not a chance in hell i would ride a bicycle to work if i have to ride on roads.

As powerful as people think oil is, there is TONS more money in big tech and big tech needs energy. Both AI and crytpo are known for their energy consumption. Bitcoin alone uses as much energy as Argentina(citation needed, from memory). If big tech thinks it could fund an alternate energy source there is nothing oil could do to stop them. Microsoft has 80 billion cash onhand, apple 67 billion, etc. There is a reason bill gates is moving into the energy sector.

Rooftop solar is a very viable solution. All those Home depots, walmarts, grocery stores, and walgreens with all that space. Not to mention most single family homes in southern half of US. Battery technology(and electric cars doubling as battery storage) is what we need for solar to take off, and we are getting closer and closer everyday.

Everyone forgets how powerless the oil industry was in 2020 when we were laying off 25% of our workforce and were subject to market whims just like any other industry.

I don't think you understand how many decades fusion is away even with tons more resources.

Wrong design though, he is going sodium which solves a non-existent problem. It can use spent fuel and extend the life of the fuel. But we could just mine/extract more fuel. The downsides are you use sodium metal which is explosive if it ever comes into contact with air. The problem is that 50 years down the road when maintenance may be lacking and there is an earthquake. This design has more risks than a traditional design.

No judgement here, he is living the good life.

Reading my posts in here you would think that I hate this technology, but I am very pro machine learning. I think there are tasks that it will be far better at than people ever could hope to be. I think on the supply chain side it can plan demand and coordinate logistics/inventory better than any human could hope to. There will be lots of jobs eliminated and it won't be the obvious ones.

What they are working on now is just optimizing pattern recognition and then stealing a whole lot of data to be able to have the data so that somewhere it can find the pattern of how people have answered similar questions in the past. LLM's only can generate responses from within the data they have been provided. I read quite about machine learning and AI and from what I read i don't think anyone has started development in earnest on an AGI project. Anyone saying otherwise is just spewing marketing bs.

AGI(artificial general intelligence) is as far off from machine learning as fusion power plants are from fission power plants.

This was the latest incident i read a few days ago, although similar stories of stolen data are non-stop.

There is no artificial intelligence yet, however machine learning has taken off. My brother and a surgeon are working together on an machine learning product that has been deployed to a few different surgical centers. They have not hit the IPO goldmine yet though. It is pretty easy to setup a new machine learning model, the only difficulty the LLM's have is that they need to steal everyones data on the internet. It takes alot of resources to steal that much data.