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Skipping some detail: the model applies many high-dimensional functions to the input, and we don't know the reasoning for why these functions solve the problem. Reducing the dimension of the weights to human-readable values is non-trivial, and multiple neurons interact in unpredictable ways.

Interpretability research has resulted in many useful results and pretty visualizations[1][2], and there are many efforts to understand Transformers[3][4] but we're far from being able to completely explain the large models currently in use.

[1] https://distill.pub/2018/building-blocks/

[2] https://distill.pub/2019/activation-atlas/

[3] https://transformer-circuits.pub/

[4] https://arxiv.org/pdf/2407.02646

- e/acc movement will become more popular

- Open-source AI models as good as the state-of-the-art closed ones

- Social media is bombarded with AI generated political propaganda from both sides

- More adoption of crypto and decentralized apps

- SOL reaches all time high

- NFTs become popular again

- Argentina's economy starts recovering

- No AI innovation in the EU because of regulation

- X/Twitter will be going strong, grows more than ever

- Linux gaming will improve a ton, but anti-cheat software still won't work

Tech companies don't control the government, the government has much more power than them.

Also, within the government there are groups, though they're a minority, that are against big tech.

But yes, the State gets private information [0] and influences content moderation [1] from tech companies, and on the other side big tech spends millions each year lobbying the federal government [2].

[0] https://www.cloudwards.net/prism-snowden-and-government-surv...

[1] https://en.wikipedia.org/wiki/Twitter_Files ( nos. 6-10 )

[2] https://www.politico.com/newsletters/morning-tech/2022/01/24...