I don’t think that’s really a fair comparison, babies exist with images and sounds for over a year before they begin to learn language, so it would make sense that they begin to understand the world in non-linguistic terms and then apply language to that. LLMs only exist in relation to language so couldnt understand a concept separately to language, it would be like asking a person to conceptualise radio waves prior to having heard about them.
Probably, given that LLMs only exist in the domain of language, still interesting that they seem to have a “conceptual” systems that is commonly shared between languages.
Compared to a human who forms an abstract thought and then translates that thought into words. Which words I use has little to do with which other words I’ve used except to make sure I’m following the rules of grammar.
Interesting that…
Anthropic also found, among other things, that Claude “sometimes thinks in a conceptual space that is shared between languages, suggesting it has a kind of universal ‘language of thought’.”
Not the parent, but LLMs dont solve anything, they allow more work with less effort expended in some spaces. Just as horse drawn plough didnt solve any problem that couldnt be solved by people tilling the earth by hand.
As an example my partner is an academic, the first step on working on a project is often doing a literature search of existing publications. This can be a long process and even more so if you are moving outside of your typical field into something adjacent (you have to learn what excatly you are looking for). I tried setting up a local hosted LLM powered research tool that you can ask it a question and it goes away, searches arxiv for relevant papers, refines its search query based on the abstracts it got back and iterates. At the end you get summaries of what it thinks is the current SotA for the asked question along with a list of links to papers that it thinks are relevant.
Its not perfect as you’d expect but it turns a minute typing out a well thought question into hours worth of head start into getting into the research surrounding your question (and does it all without sending any data to OpenAI et al). That getting you over the initial hump of not knowing exactly where to start is where I see a lot of the value of LLMs.
Its a political stech in a newspaper, not a link to a video. You can either go to the guardian’s front page to see the it or type anything even slightly relatred to it into a search engine to see the video.
I just know people are going to flock to my novel that I manually typewritered each copy myself.
So by going harder on blocking content that China? Because that’s what they do but most of the big providers get through after a day or two of downtime each time the government make a change to block them.
It would be interesting to give these scores a bit of context: what level would a random person off the street, a history undergrad and a history professor score?
and then the same amount of energy is used in just burning gasoline (never mind diesel and kerosine)
That kind of thinking was wrong a decade ago and is still wrong now. If we have any chance of stopping climate change we are going to have to massively decarbonise not only electricity production, but also transport and heating. That’s going to mean a massive electrification of those sectors and a huge increase in demand over decades. Putting off large fixed investment now as it wont help out immediately but will help significantly during the time that electricity demand is growing is just nonsense.
If you take standard cosmological assumptions (the universe is infinite and homogeonous) then the odds are 100% as everything that is physically possible happens infinite times.
unless you mean the observable universe, in which case we dont know, but given the vast scale of it is likely very close to 1. We cant calculate it without knowing how likely life is to form in the first place.
I’m not even sure if that is a joke. If they’ve sold a lot to Russia and are paranoid about the south exploiting their relative weakness, removing road links would make sense.
Youve missread that article, it is saying rising demand generally may cause shortages, and that there is also predictions of growing demand fron datacentres, not that the later is the main cause of the former. I fact they suggest growth in electricty demand of a quarter in 2 years, vastly more than the 4% in 6 years growth in datacentre demand.
I didn’t say anything about how prices work in a shortage, but I also sincerely doubt a 4% increase in 6 years (so 0.7% annually) is going to cause any shortages.
The study this cites has data centre (so not just AI but all internet stuff) rising to 300TWh by 2030. Two years ago the USA’s power usage was 4000TWh a year. So in about 6 years time they estimate that data centres will be using about 8% of 2022’s electricity usage, up from currently about 4%. An increase sure, but hardly one that’s going to move electricity prices significantly.
fyi, you wrote
comparison between the Ukraine war and Russian attack of Ukraine
where I presume you meant the comparison between Iraq and Ukraine wars. It took me a while to figure out what you were saying there.
But the vast majority of the time they are approved, and the nomination begins with politicians. Contrast this to the way the UK does it where the appointments come from the senior judges with politicians then approving or rejecting the proposed new member.
Thats a problem with political appointments by the president not life terms.
Where is the LLM that can reproduce specific whole copyrighted works on demand? All ive seen is reproductions of quotes of a few sentences (fair use) and hacks that can make it ocasionally vomit up random larger fragments of its training data, maybe up to a few paragraphs.
As per the article:
Its not jamming the comms, its inducing currents inside the electronics of the drone to fry them.