Biological neural networks can do things that artificial ones can’t, and use far less energy.
Indeed, this seems like a big step forward, and here’s a link to the model https://github.com/ridgerchu/matmulfreellm
I’d say it’s not so much that this tech doesn’t have value, but that it gets hyped up and used for things it really shouldn’t be used for. Specifically, the way models work currently, they’re not suitable for any scenario where you need an exact answer. So, it’s great for stuff like generative art or creative writing, but absolutely terrible for solving math problems or driving cars. Understanding the limitations of the tech is key for applying it in a sensible way.
not working due to hallucinations
It’s pretty clear that hallucinations are an issue only for specific use cases. This problem certainly doesn’t make ML useless. For example, I find it’s far faster to use a code oriented model to get an idea of how to solve a problem than going to stack overflow. The output of the model doesn’t need to be perfect, it just needs to get me moving in the right direction.
Furthermore, there is nothing to suggest that the problem of hallucinations is fundamental and can’t be addressed going forward. I’ve linked an example of a research team doing precisely that above.
wasteful in terms of resources
Sure, but so are plenty of other things. And as I’ve illustrated above, there are already drastic improvements happening in this area.
creates problematic behaviors in terms of privacy
Not really a unique problem either.
creates more inequality
Don’t see how that’s the case. In fact, I’d argue the opposite to be true, especially if the technology is open and available to everyone.
and other problems and is thus in most cases (say outside of e.g numerical optimization as already done at e.g DoE, so in the “traditional” sense of AI, not the LLM craze) better be entirely ignored.
There is a lot of hype around this tech, and some of it will die down eventually. However, it would be a mistake to throw the baby out with the bath water.
what I mean is that the argument of inevitability itself is dangerous, often abused.
The argument of inevitability stems from the fact that people have already found many commercial uses for this tech, and there is a ton of money being poured into it. This is unlikely to stop regardless of what your personal opinion on the tech is.
Again, I’m not arguing that open source automatically solves problems, just that since AI is obviously going to continue being developed, it’s better if it’s done in the open.
Open source does actually pave the way towards addressing many of the problems. For example, Petals is a torrent style system for running models which allows regular people to share resources to run models.
Problems like hallucinations and energy consumption aren’t inherent either. These problems are actively being worked on, and people are finding ways to make models more efficient all the time. For example, by using the same techniques Google used to solve Go (MTCS and backprop), Llama8B gets 96.7% on math benchmark GSM8K. That’s better than GPT-4, Claude and Gemini, with 200x fewer parameters. https://arxiv.org/pdf/2406.07394
And here’s an approach being explored for making models more reliable https://www.wired.com/story/game-theory-can-make-ai-more-correct-and-efficient/
The reality is that we can’t put the toothpaste back in the tube now. This tech will be developed one way or the other, and it’s much better if it’s developed in the open.
Couple that with the deteriorating economic situation in US and rampant racism. People are finally starting to see burgerland for the shithole it really is.
mass shootings and police brutality come to mind
If by commit suicide you mean grow faster than any G7 economy making Russia 4th largest economy then sure.
Last I checked, China hasn’t been at war since the 70s, and allocates a tiny fraction of the resources that US allocates to military spending. If you don’t understand why China needs to be able to defend itself against a rabid empire that constantly invades countries, then it’s pretty clear who the actual clown here is. This is what China’s military protects:
Household savings hit major highs across China https://www.chinadailyhk.com/hk/article/315229
90% of families in the country own their home, giving China one of the highest home ownership rates in the world. What’s more is that 80% of these homes are owned outright, without mortgages or any other leans. https://www.forbes.com/sites/wadeshepard/2016/03/30/how-people-in-china-afford-their-outrageously-expensive-homes/
Chinese workers enjoy basic form of the democratic corporate governance system via assemblies of employee representatives. https://www.taylorwessing.com/en/insights-and-events/insights/2024/01/employees-participation-in-corporate-governance-under-the-revised-chinese-company-law
The real (inflation-adjusted) incomes of the poorest half of the Chinese population increased by more than four hundred percent from 1978 to 2015, while real incomes of the poorest half of the US population actually declined during the same time period. https://www.nber.org/system/files/working_papers/w23119/w23119.pdf
From 1978 to 2000, the number of people in China living on under $1/day fell by 300 million, reversing a global trend of rising poverty that had lasted half a century (i.e. if China were excluded, the world’s total poverty population would have risen) https://www.semanticscholar.org/paper/China’s-Economic-Growth-and-Poverty-Reduction-Angang-Linlin/c883fc7496aa1b920b05dc2546b880f54b9c77a4
From 2010 to 2019 (the most recent period for which uninterrupted data is available), the income of the poorest 20% in China increased even as a share of total income. https://data.worldbank.org/indicator/SI.DST.FRST.20?end=2019&locations=CN&start=2008
By the end of 2020, extreme poverty, defined as living on under a threshold of around $2 per day, had been eliminated in China. According to the World Bank, the Chinese government had spent $700 billion on poverty alleviation since 2014. https://www.nytimes.com/2020/12/31/world/asia/china-poverty-xi-jinping.html
Real wage (i.e. the wage adjusted for the prices you pay) has gone up 4x in the past 25 years, more than any other country. https://www.youtube.com/watch?v=Cw8SvK0E5dI
So what you’re saying is that we need a proletarian dictatorship?
Right, the first generations likely won’t have a huge advantage over silicon, but it’s the growth potential that’s key. We’re basically hitting the limits of what you can do on the current substrate. There’s really nowhere left to go past 1nm chips.
here’s an article, basically they’re orders of magnitude faster and more energy efficient, photonic chips have the potential to make silicon look like vacuum tubes https://singularityhub.com/2021/11/01/researchers-created-an-optical-switch-thats-up-to-1000-times-faster-than-silicon-transistors/
Indeed, if people can figure out how to get LLMs to produce stable outputs and create ways to verify them, then this tech would be a lot more powerful.
Hypersonics are obviously better at taking down all sorts of targets. Claiming that carriers are somehow a unique target for hypersonics is a baseless argument.
I said the US ones were extremely expensive, and you agreed. And that cost is the one that matters for the US.
The US military industrial complex loves expensive weapons, just look at the F-35 having ballooned to over 2 trillion now. Siphoning tax dollars out of the economy and putting it in the hands of the oligarchs that own this industry is literally the whole point.
Nuclear weapons aren’t useful in a conventional conflict by definition. So what is Zircon for if it’s not for MAD nuclear warfare and not for conventional warfare?
Tactical nuclear weapons exist last I checked. Both US and Russia have them. Russia already said there are cases where they would use them.
So you’ve finally acknowledged that hypersonics do in fact have uses that aren’t filled by bombers. Only took you a week to do it. I’m so proud of you.
Did I ever say hypersonics were ineffective? I said they were expensive. And that stealth bombers are also effective at the ground attack role. Nothing you’ve sourced has contradicted that.
Nowhere did you substantiate the claim that hypersonics are more expensive than making bombers along with their arsenal. In fact, it’s not clear why hypersonics would be more expensive to produce than regular missiles that bombers would carry.
Aside from that, ballistic missiles can also get though most air defenses. MAD still works because you can’t be sure about reliability shooting down the missiles. Having even better more expensive ones doesn’t really change the math, which is why Zircon is so stupid.
Zircon can carry tactical nuclear weapons, it’s hilarious that you don’t understand the importance of that. Zircon was never meant to change the balance in MAD, that’s what Buervestnik is for https://www.sciencepolicyjournal.org/uploads/5/4/3/4/5434385/walker_jspg_v16.pdf
It’s a herculean effort at the moment.
Curious to know what do you think a brain is exactly?