14 sats \ 0 replies \ @p_peloton 17 May \ on: OpenAI partners with Reddit tech
Google has a similar deal: https://www.theverge.com/2024/2/22/24080165/google-reddit-ai-training-data
To my understanding it is very crucial to get even more data to develop LLMs further (although the openly accessible internet is so big, the models need even more data). I see the Reddit deal as problematic as this opens opportunities to manipulate LLMs by creating fake Reddit posts etc.
Taxation might explain the rates to some extent, but I do not think it is the primary reason. Also note that the tax rates presented here seem to be the highest marginal tax rates (it is a common problem that taxation between countries is compared only through one tax rate only)
That's a good comparison, but the essential question is - will these models ever be so good that will be able to do that? If they are at some point then the question whether the model is intelligent, becomes irrelevant (Edsgar Dijkstra made the comparison that the question of whether machines could
think was “about as relevant as the question of whether Submarines Can Swim"). However I still have some doubts.
I agree with this. AI has come to stay and it will continue getting better (at least to some extent). But I also think it is overhyped and I have doubts if we will ever see artificial general intelligence (AGI). Chat GPT is good at guessing the next word in a sentence, but is it really intelligent?
I think there are several reasons:
- There are differences in societies which might explain to some extent (higher taxation reduces incentives to found a start-up, cultures are less entrepreneur-friendly, etc.)
- There are nevertheless many tech companies and there is a lot of talent in this field. However in my opinion they are often driven by engineers ("techies") and not business people. To illustrate this with an example, think about Nokia which used to be world market leader in mobile phones. It was a great product designed by talented engineers, but then came Steve Jobs with Apple introduced smart phones and brought customer experience to a completely new level and Nokia's fall began. A similar pattern might be seem in the car industry where German car industry ("German engineers") are being overtaken by Tesla and Chines e-car industry.
- Lastly there are success stories of tech startups in Europe. However it seems that Europeans are happy to create a unicorn and exit (which is a huge achievement), but Americans aim even higher / Chinese do not sell their companies.
I think the main difference between countries is how much the system is built purely on a pay-as-you-go-system and how much is built on a funded system (Nordic countries are succeeding in this transformation quite well, although there are still challenges ahead), many Central European and Southern European countries rely on pay-as-you-go systems mainly and the system is not sustainable (see e.g. Mercers report https://www.mercer.com/insights/investments/market-outlook-and-trends/mercer-cfa-global-pension-index/ ). In the countries where reforms are not done, the system will not necessarily implode but pensions will be more and more financed additionally through tax money (which might still be economically doable, but it can be doubted whether this is politically and socially acceptable in the long-term)
The pension systems in the eurozone are very different and I am not sure if the chart gives the right picture of the current state (it might also be impossible to do without simplifications). Just to give one example where I think the graph is not right is Finland, where there are about 250 billion euros invested in assets by pension insurance companies as part of the public pension insurance (you don't see them in the graph).
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